Maghsoud Amiri

Scopus Publications

Data envelopment analysis with fuzzy inference system to evaluate the performance of higher education institutions
Navid Sharifi, Maghsoud Amiri, Laya Olfat, Amir Yousefli, Mohammad Hashemi-Tabatabaei, Shakib Zohrehvandi
Industry and Higher Education, 2026
Evaluating the performance of higher education institutions holds a significant position due to their critical responsibilities. This study aims to design an integrated model utilizing Data Envelopment Analysis (DEA) and a fuzzy inference system to comprehensively assess higher education institutions by considering various input and output variables from multiple perspectives. This approach addresses the challenges of evaluating decision-making units efficiently when faced with numerous inputs and outputs. Various methods, including reducing input and output variables, have been proposed in the literature to improve this issue, typically relying on either objective or subjective approaches. To enhance discriminative power, factor analysis was employed to consider data patterns, and the fuzzy inference system was used to incorporate expert judgments. Consequently, the proposed model provides more realistic weights for inputs and outputs by integrating these two approaches. Moreover, the model’s ability to simultaneously use qualitative and quantitative variables as inputs and outputs of the DEA is another significant advantage. The proposed model was tested on higher education institutions as a case study. The results indicate that the discriminative power of decision-making units is higher compared to other variable reduction models, including subjective approaches such as DEA-AHP and DEA-MEAN, objective approaches like DEA-PCA, and combined approaches like DEA-WPCA. Furthermore, the Kruskal-Walli’s test results confirm that the proposed model yields a lower average efficiency ranking compared to other models, validating its superiority and originality.
Interval-valued Fermatean fuzzy Z-LMAW for sustailient cold chain supplier evaluation
Mohammad Hashemi-Tabatabaei, Maghsoud Amiri, Mehdi Keshavarz-Ghorabaee
Applied Soft Computing, 2026
Redundancy allocation and optimal buffer size determination in series-parallel production systems: A hybrid approach
Mojtaba Aghaei, Maghsoud Amiri, Mani Sharifi, Seyyed Jalaladdin Hosseini Dehshiri, Mohammad Taghi Taghavifard
Journal of Engineering Research Kuwait, 2025
Buffer allocation and redundancy allocation problems arose during the design of the production line. This study investigated these two problems as an integer nonlinear multi-objective model. The purposes of the model included maximizing availability and minimizing overall system costs and buffer capacity. Machine failures were divided into preventive and emergency categories, and their costs were factored into the cost goal function. Furthermore, each machine's failures were considered accidental and followed Weibull distribution functions. To solve the problem, a method combining the design of experiments, simulation, neural network, and meta-heuristic algorithm was applied. The system was simulated using the results of designed experiments, and the results in neural networks were analyzed to estimate the functions related to cost and availability purposes. Finally, the neural network's estimated functions, another objective function (buffer capacity), and the problem's constraints were implemented in the meta-heuristic non-dominated sorting genetic algorithm III (NSGA-III) to obtain Pareto sets. The results were compared to the non-dominated sorting genetic algorithm II (NSGA-II) and the Multi-objective particle swarm optimization algorithm (MOPSO). The applicability of the proposed approach was demonstrated using a real case, and the outcomes validated the algorithm's effectiveness.
A model for understanding the impact of trust on funders’ investment intention in Crowdfunding
Saeidi Aghdam, Mehran, Y. X. Komiak, Sherrie, Hosseini Ghoncheh, Seyed Salareddin, Amiri, Maghsoud, Alam Tabriz, Akbar
Journal of Optimization in Industrial Engineering, 2025
Crowdfunding has become a transformative force in modern finance, offering a viable alternative to traditional fundraising methods by enabling individuals and startups to gather capital from a diverse pool of investors. However, the decentralized and open nature of crowdfunding platforms presents significant challenges, particularly in maintaining trust, which is a critical determinant of funders' investment decisions. Given that crowdfunding investments are often new and inherently risky, there is a growing need to better understand the factors that influence funders’ trust and how this trust can be cultivated to encourage investment. This study develops a comprehensive model to assess the impact of trust on funders' investment intentions in crowdfunding. Through a survey-based approach, the research identifies key dimensions that affect trust, including shared values between funders and project owners, situational normality, website familiarity, and perceived ease of use. The results demonstrate that trust significantly enhances funders' perceived usefulness of crowdfunding projects, which in turn increases their investment intentions. Shared values are found to be a particularly strong factor in building trust, while surprisingly, communication between funders and project owners does not have a substantial effect on trust in the crowdfunding context. These findings provide important insights for crowdfunding platforms, highlighting the need to focus on factors such as platform usability and the alignment of values between funders and project owners. By fostering trust through these mechanisms, crowdfunding platforms can enhance funders’ confidence and encourage greater investment participation.
Enhancing food supply chain sustainability: exploring the role of IoT enablers and sustainable development goals
Hojatallah Sharifpour Arabi, Hamidreza Fallah Lajimi, Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Seyed Khadije Hosseini
Sustainable Futures, 2025
The supply chain has emerged as a crucial component of success in the modern global economy, and companies are searching for methods to enhance their supply chain procedures to maintain an advantage over rivals. One of the significant issues that has garnered a lot of attention is the Sustainable Supply Chain (SSC), which drives industries toward sustainability while also boosting organizational productivity. In the same vein, the Internet of Things (IoT) is an emerging technology that enhances intricate supply chain operations. Although many studies conducted in this field have examined the impact of IoT on the supply chain management, very few studies have examined the enablers of IoT in SSC. Therefore, this study aims to fill this gap by evaluating the enablers of IoT in the sustainability of food supply chains. To achieve this goal, the enablers of IoT in SSC are first extracted through a Systematic Literature Review (SLR). Then, using Bayesian best-worst method (BBWM), the importance of each enabler is obtained. According to this method, IoT-based infrastructure is the most important enabler in the economic dimension. Waste management and consumer protection are also the most important in the environmental and social dimensions, respectively. In the end, the alternatives are ranked using TODIM method. The results show that waste management plays an important role in the SSC based on the IoT. The goals of IoT enablers in SSC are also aligned with Sustainable Development Goals (SDGs) (e.g., clean energy, responsible consumption, healthy living, and protecting the planet).
Developing an E-commerce Trust Model in Crowdfunding by Integrating Blockchain and Edge Computing Using Fuzzy Technique
Journal of Fuzzy Extension and Applications, 2025
Improving sustainability in waste management based on the Internet of Things: A robust hybrid decision-making framework
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Ali Mostafaeipour, Ttu Le
Environmental Development, 2025
Assessing hydrogen storage challenges based on circular economy through comparative decision-making methods under uncertainty
Seyyed Jalaladdin Hosseini Dehshiri, Ali Mostafaeipour, Maghsoud Amiri
International Journal of Hydrogen Energy, 2025
Evaluating challenges of implementing Industry 5.0 in the renewable energy supply chain toward sustainability: A comparative analysis using decision-making approaches
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri
Energy Strategy Reviews, 2025
The Renewable Energy (RE) supply chain faces challenges such as infrastructure constraints, and dependence on weather conditions, which affect production stability. Also, high initial costs and unstable support policies create significant financial barriers in RE. Using the capabilities of new technologies can help improve productivity in this field. Industry 5.0 (I5.0) uses developed technology to optimize processes, increase stability, reduce costs, and increase productivity in RE. Therefore, a decision-making framework is presented to assess the challenges of I5.0 in the RE supply chain. It proposes an integrated decision framework including the Fuzzy Stepwise Weight Assessment Ratio Analysis (F-SWARA), and Fuzzy Combined Compromise Solution (F-CoCoSo) methods. The sensitivity of the findings and validation are checked with different decision-making approaches. Appropriate investment amount, attention to technical infrastructure, and the availability of financial resources are the most important factors with values of 0.236, 0.172, and 0.129 respectively. The main challenges are insufficient investment and attention to information security for implementing I5.0 in the RE supply chain. Measures and financial incentives for the development of internal and external cooperation and data security measures, advanced encryption protocols, and basic security and cyber actions are necessary to attract investment and create a safe environment.
Robust fuzzy programming for designing a closed-loop supply chain under uncertainty and flexible constraints
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri
Cleaner Logistics and Supply Chain, 2025
• Offering a novel robust-possibilistic-flexible approach using credibility measures. • Design of closed-loop supply chain under cognitive uncertainty and soft constraints. • Considering economic, and environmental objectives in the closed-loop supply chain. • Using the interactive fuzzy programming approach to solve the multi-objective model. • Offering robust and flexible solutions and trade-offs between goals and risk levels. Due to enacting laws and increasing awareness of environmental issues, the design of a Closed-Loop Supply Chain network (CLSC) has received attention. The design of CLSC is a strategic issue with long-term effects and faces uncertainty in the real world, which affects its performance. In the studies on CLSC, robust optimization, cognitive uncertainty, and soft constraints are not assessed simultaneously in modeling and this area is deficient. So, in this investigation, mixed-robust-possibilistic-flexible programming is proposed. This research develops CLSC problem-solving approaches under conditions of cognitive uncertainty and soft constraints and leads to the presentation of operation engineering and optimization in CLSC. The Decision Maker’s (DM) risk level is measured flexibly using a credibility criterion. Also, deviation of possibilistic and constraint violations are controlled in the proposed approach. To evaluate the presented approach, a study is executed to design a paper supply chain with economic and environmental objectives. The results show that it is possible to determine the number, place of facilities, and optimal flow of products and materials between different centers. The proposed approach and multi-objective model solution method are capable of providing realistic and flexible solutions based on the trade-off between other objectives and DMs’ preferences. The performance of the proposed approach was analyzed and results confirmed the developed approach compared to similar approaches for the design of CLSC.
An Expected Value-Based Symmetric–Asymmetric Polygonal Fuzzy Z-MCDM Framework for Sustainable–Smart Supplier Evaluation
Mohammad Hashemi-Tabatabaei, Maghsoud Amiri, Mehdi Keshavarz-Ghorabaee
Information Switzerland, 2025
A Fuzzy OPARA-Based Group Decision-Making Approach: Application to Sustainable Solutions Assessment
Mehdi Keshavarz-Ghorabaee, Amin Mohammadi-Ostadkalayeh, Maghsoud Amiri, Jurgita Antucheviciene
Informatica Netherlands, 2025
A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network: a case study of the aluminium industry
Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard
International Journal of Services and Operations Management, 2025
A systematic literature review of business process characteristics
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International Journal of Process Management and Benchmarking, 2025
A bi-objective scheduling-sharing optimization model for criminal court planning under uncertainty
Zeinab Lashgari, Behnam Vahdani, Habib Reza Gholami, Maghsoud Amiri
Journal of the Operational Research Society, 2025
Simulation-Aided Analysis of a Deviation-Based Pairwise Assessment Ratio Technique (DEPART) for MCDM
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė
International Journal of Computers Communications and Control, 2025
A Flexible Multi-Attribute Classification Method for Incorporating Decision-Maker Preferences in the Decision-Making Process
Mir Seyed Mohammad Mohsen Emamat, Maghsoud Amiri, Mohammad Reza Mehregan, Mohammad Taghi Taghavifard, Dragan Pamucar
International Journal of Information Technology and Decision Making, 2025
Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Mostafa Hajiaghaei-Keshteli, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė
Transport, 2024
Evaluating challenges of circular economy and Internet of Things in renewable energy supply chain through a hybrid decision-making framework
Seyyed Jalaladdin Hosseini Dehshiri, Ali Mostafaeipour, Maghsoud Amiri
Journal of Environmental Management, 2024
Integrating blockchain and strategic alliance in renewable energy supply chain toward sustainability: A comparative decision framework under uncertainty
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Ali Mostafaeipour, Ttu Le
Energy, 2024
A Multi-Objective Robust Possibilistic Programming Approach to Designing Sustainable and Reliable Closed-Loop Supply Chain Network (Case Study: Aluminum Industry)
Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard
Tasmimgiri Va Tahqiq Dar Amaliyyat, 2024
Gresilient Supplier Evaluation and Selection under Uncertainty Using a Novel Streamlined Full Consistency Method
Mohammad Hashemi-Tabatabaei, Maghsoud Amiri, Mehdi Keshavarz-Ghorabaee
Logistics, 2024
Designing and Planning a Bioethanol Supply Chain Network under Uncertainty Using a Data-Driven Robust Optimization Model under Disjunctive Uncertainty Sets
Farzaneh MansooriMooseloo, Maghsoud Amiri, Mohammad Taghi Taghavi Fard, Mostafa Hajiaghaei-Keshteli
Tasmimgiri Va Tahqiq Dar Amaliyyat, 2024
A Markov chain-based genetic algorithm for solving a redundancy allocation problem for a system with repairable warm standby components
Farjam Kayedpour, Maghsoud Amiri, Mahmoud Rafizadeh, Arash Shahryai Nia, Mani Sharifi
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, 2024
Integrated scheduling of multiple heterogeneous equipment and maintenance operations during discharging process in a container terminal under uncertainty
M. Basir Abyaneh, Behnam Vahdani, B. Afshar Nadjafi, M. Amiri
Computers and Industrial Engineering, 2024
Evaluation of renewable energy projects based on sustainability goals using a hybrid pythagorean fuzzy-based decision approach
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Ali Mostafaeipour, Ttu Le
Energy, 2024
A Structured Review and Analysis of the Researches Conducted in the Field of Productivity Changes in Units with Undesirable Output Using the Malmquist Luenberger Productivity Index
Mohammad Alimoradi, Seyed Mohammad Ali Khatami Firouzabadi, Maghsoud Amiri, Iman Raeesi Vanani
Tasmimgiri Va Tahqiq Dar Amaliyyat, 2024
Measuring productivity using Data Envelopment Analysis and MultipleObjective Programming in flows, logistic and transportation
Maghsoud Amiri, Jafar Esmaeeli, Mani Sharifi, Shakib Zohrehvandi, Lucia Knapcikova
Acta Logistica, 2024
Development of a non-radial model for resource reallocation using network data envelopment analysis
Seyed Alireza Seyed Haeri, Maghsoud Amiri, S.M. Ali Khatami Firouzabadi, Kaveh Khalili-Damghani, Mani Sharifi
Journal of Engineering Research Kuwait, 2024
Optimizing Supply Chain Design for Sustainability and Reliability: A Comparative Study of Augmented Epsilon and Normalized Normal Constraint Methods
Control and Optimization in Applied Mathematics, 2024
Considering the circular economy for designing closed-loop supply chain under hybrid uncertainty: A robust scenario-based possibilistic-stochastic programming
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri
Expert Systems with Applications, 2024
Evaluating the blockchain technology strategies for reducing renewable energy development risks using a novel integrated decision framework
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Seyed Mojtaba Hosseini Bamakan
Energy, 2024
Data-driven robust optimization to design an integrated sustainable forest biomass-to-electricity network under disjunctive uncertainties
Saeed Sadeghi Darvazeh, Farzaneh Mansoori Mooseloo, Fatemeh Gholian-Jouybari, Maghsoud Amiri, Hossein Bonakdari, Mostafa Hajiaghaei-Keshteli
Applied Energy, 2024
A decision support approach for financial policy measures selection
Parisa Alizadeh, Maghsoud Amiri
Journal of Science and Technology Policy Management, 2024
Evaluation of blockchain implementation solutions in the sustainable supply chain: A novel hybrid decision approach based on Z-numbers
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri
Expert Systems with Applications, 2024
Redundancy allocation problem in repairable systems with variegated components: a simulation-based optimization approach
Farhad Hadinejad, Maghsoud Amiri
Journal of Statistical Computation and Simulation, 2024
Evaluating the supply chain resilience strategies using discrete event simulation and hybrid multi-criteria decision-making (case study: natural stone industry)
Maede Mirzaaliyan, Mojtaba Hajian Heidary, Maghsoud Amiri
Journal of Simulation, 2024
Analysis of the performance of supply chain resilience strategies using a simulation approach (case study: natural stone industry)
Maede Mirzaaliyan, Mojtaba Hajian Heidary, Maghsoud Amiri
International Journal of Integrated Supply Management, 2024
Identification of Stakeholders in Personal Health Records Using Blockchain Technology: A Comprehensive Review
Journal of Information Technology Management, 2024
Facility delocation model considering efficiency and equity: banks merger
Mohammad Taghi Taghavifard, Maghsoud Amiri, Saeed Zarghami, Ahmad Makui
International Journal of Applied Decision Sciences, 2024
Enhancing supply chain performance by integrating knowledge management and lean, agile, resilient, and green paradigms
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Ali Mostafaeipour, Dragan Pamučar, Ttu Le
Journal of Management Analytics, 2024
Multi-Criteria Personnel Evaluation and Selection Using an Objective Pairwise Adjusted Ratio Analysis (OPARA)
KESHAVARZ-GHORABAEE Mehdi, RASTEGAR Abdolghani, AMIRI Maghsoud, ZAVADSKAS Edmundas Kazimieras, ANTUCHEVICIENE Jurgita
Economic Computation and Economic Cybernetics Studies and Research, 2024
A Multi-Objective Mathematical Programming Model for Project-Scheduling Optimization Considering Customer Satisfaction in Construction Projects
Mehrnoosh Zohrehvandi, Shakib Zohrehvandi, Mohammad Khalilzadeh, Maghsoud Amiri, Fariborz Jolai, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene
Mathematics, 2024
Evaluating the risks of the internet of things in renewable energy systems using a hybrid fuzzy decision approach
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri
Energy, 2023
Comparative performance of the NSGA-II and MOPSO algorithms and simulations for evaluating time–cost–quality–risk trade-off in multi-modal PERT networks
Seyyed Jalaladdin Hosseini Dehshiri, Ahmad Yousefi Hanoomarvar, Maghsoud Amiri
Soft Computing, 2023
A novel approach based on grey simplified best–worst method and grey possibility degree for evaluating materials in semiconductor industries
Mir Seyed Mohammad Mohsen Emamat, Saif Wakeel, Maghsoud Amiri, Shafi Ahmad, Sedat Bingol
Soft Computing, 2023
A Robust Possibilistic Programming Approach to Design a Comprehensive Blood Supply Chain Based on the ABO-RH Index
طاهر کوچکی تاجانی, علی محتشمی, مقصود امیری, رضا احتشام راثی
Tasmimgiri Va Tahqiq Dar Amaliyyat, 2023
A new fuzzy DEA network based on possibility and necessity measures for agile supply chain performance evaluation: A case study
Hamze Pourbabagol, Maghsoud Amiri, Mohammad Taghi Taghavifard, Payam Hanafizadeh
Expert Systems with Applications, 2023
Modeling and Solving Dual Resource Constrained Flexible Job-Shop Scheduling Problem Considering Machine Breakdown
پرهام صوفی, مهدی یزدانی, مقصود امیری, محمد امین ادیبی
Tasmimgiri Va Tahqiq Dar Amaliyyat, 2023
Identifying Effective Factors of Organizational Resilience: A Meta-Synthesis Study
Yaser Hamidavi Nasab, Maghsoud Amiri, Amirreza Keyghobadi, Kiamars Fathi Hafshejani, Hessam Zandhessami
International Journal of Research in Industrial Engineering, 2023
Evaluation of Digital Banking Implementation Indicators and Models in the Context of Industry 4.0: A Fuzzy Group MCDM Approach
Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mehdi Keshavarz-Ghorabaee, Jurgita Antucheviciene, Jonas Šaparauskas, Mohsen Keramatpanah
Axioms, 2023
A robust possibilistic multi-echelon multi-product multi-period production-inventory-routing problem considering internal operations of cross-docks: Case study of FMCG supply chain
Mina Dehghani Jeshvaghani, Maghsoud Amiri, Kaveh Khalili-Damghani, Laya Olfat
Computers and Industrial Engineering, 2023
A Three-Stage model for Clustering, Storage, and joint online order batching and picker routing Problems: Heuristic algorithms
A. Mojaver Tabrizi, Behnam Vahdani, F. Etebari, M. Amiri
Computers and Industrial Engineering, 2023
An integrated multi-criteria decision-making framework under uncertainty for evaluating sustainable hydrogen production strategies based on renewable energies in Iran
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri
Environmental Science and Pollution Research, 2023
A novel hybrid simplified group BWM and multi-criteria sorting approach for stock portfolio selection
Mir Seyed Mohammad Mohsen Emamat, M. Amiri, Mohammad Reza Mehregan, Mohammad Taghi Taghavifard
Expert Systems with Applications, 2023
A new approach in the DEA technique for measurement of productivity of decision-making units through efficiency and effectiveness
Jafar Esmaeeli, Maghsoud Amiri, Houshang Taghizadeh
Scientia Iranica, 2023
A robust fuzzy stochastic multi-objective model for stone paper closed-loop supply chain design considering the flexibility of soft constraints based on Me measure
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Laya Olfat, Mir Saman Pishvaee
Applied Soft Computing, 2023
A Two-Stage Optimization Approach for Healthcare Facility Location- Allocation Problems With Service Delivering Based on Genetic Algorithm
Azadeh Salami, Behrouz Afshar-Nadjafi, Maghsoud Amiri
International Journal of Public Health, 2023
PROMOTION OPTIMIZATION IN COMPETITIVE ENVIRONMENTS BY CONSIDERING THE CANNIBALIZATION EFFECT
International Journal of Industrial Engineering Theory Applications and Practice, 2023
A fuzzy project buffer management algorithm: a case study in the construction of a renewable project
Shakib Zohrehvandi, Mario Vanhoucke, Mohammad Khalilzadeh, Maghsoud Amiri, Shahram Shadrokh
International Journal of Construction Management, 2023
A Fuzzy Extension of Simplified Best-Worst Method (F-SBWM) and Its Applications to Decision-Making Problems
Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mehdi Keshavarz-Ghorabaee, Arturas Kaklauskas, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene
Symmetry, 2023
Gap analysis based on TQM criteria using BWM-IPA hybrid method: a case study
Saeid Sadeghi Darvazeh, Maghsoud Amiri, Farzaneh Mansouri Musolu, Masoomeh Sadeghi, Yaser Goldust, Sara Moslemi
International Journal of Productivity and Quality Management, 2023
MCDM APPROACHES FOR EVALUATING URBAN AND PUBLIC TRANSPORTATION SYSTEMS: A SHORT REVIEW OF RECENT STUDIES
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antuchevičienė
Transport, 2022
Investigating cause-and-effect relationships between supply chain 4.0 technologies
Hojatallah Sharifpour, Yaser Ghaseminezhad, Mohammad Hashemi-Tabatabaei, Maghsoud Amiri
Engineering Management in Production and Services, 2022
Multi-objective closed-loop supply chain network design: A novel robust stochastic, possibilistic, and flexible approach
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, Laya Olfat, Mir Saman Pishvaee
Expert Systems with Applications, 2022
A model for location-assortment problem in a competitive environment
Faezeh Mohammadipour, Maghsoud Amiri, Iman Raeesi Vanani, Jahanyar Bamdad Soofi
International Journal of Industrial Engineering Computations, 2022
Materials selection for choosing the best composite blend polymeric membrane for hydrogen/oxygen proton exchange membrane fuel cell
Maryam Oroujzadeh, Mohammad Ali Nikouei, Shahram Mehdipour-Ataei, Maghsoud Amiri
Journal of Power Sources, 2022
A Fuzzy Simultaneous Evaluation of Criteria and Alternatives (F-SECA) for Sustainable E-Waste Scenario Management
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Sustainability Switzerland, 2022
Evaluating barriers and challenges of circular supply chains using a decision-making model based on rough sets
M. Amiri, M. Hashemi-Tabatabaei, M. Ghahremanloo, M. Keshavarz-Ghorabaee, E. K. Zavadskas, S. G. Salimi-Zavieh
International Journal of Environmental Science and Technology, 2022
A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain
Seyyed Jalaladdin Hosseini Dehshiri, Mir Seyed Mohammad Mohsen Emamat, Maghsoud Amiri
Expert Systems with Applications, 2022
Investigating the Effect of Subjective Models on Organizational Performance and Performance Appraisal Indicators from the Perspective of a Stable Balanced Scorecard (Case Study of Guilan Refah Bank Branches)
معصومه تدریس حسنی, مقصود امیری, حسین رحمانسرشت, امیر یوسفلی
Tasmimgiri Va Tahqiq Dar Amaliyyat, 2022
Project buffer sizing and dynamic buffer consumption algorithm in power generation construction
Shakib Zohrehvandi, Mohammad Khalilzadeh, Maghsoud Amiri, Shahram Shadrokh
Engineering Construction and Architectural Management, 2022
Planning for relief distribution, victim evacuation, redistricting and service sharing under uncertainty
Behnam Vahdani, D. Veysmoradi, S.M. Mousavi, M. Amiri
Socio Economic Planning Sciences, 2022
The Emergence of a Sustainable and Reliable Supply Chain Paradigm in Supply Chain Network Design
Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard
Complexity, 2022
A two-stage assembly flow-shop scheduling problem with bi-level products structure and machines’ availability constraints
Mohammad Ali Nikouei, Mostafa Zandieh, Maghsoud Amiri
Journal of Industrial and Production Engineering, 2022
Development of a multi-objective stepwise data envelopment analysis method based on common set of weights to evaluate the agility of decision-making units: a case study
Moosa Darijani, Maghsoud Amiri, Mohammad Taghi Taghavifard, Payam Hanafizadeh
International Journal of Advanced Operations Management, 2022
A ROBUST CREDIBILITY-BASED FUZZY PROGRAMMING FOR PRODUCTION-ROUTING PROBLEMS WITH CELL FORMATION
International Journal of Industrial Engineering Theory Applications and Practice, 2022
The selection of polyethersulfone/polyvinylpyrrolidone films for industrial application using the multiple-criteria decision-making approach
Mohammad Ali Nikouei, Elias Mosaffa, Maghsoud Amiri
Polymer Composites, 2021
Strategic Supplier Selection in Payment Industry: A Multi-Criteria Solution for Insufficient and Interrelated Data Sources
Siavash Hekmat, Maghsoud Amiri, Golshan Madraki
International Journal of Information Technology and Decision Making, 2021
Designing Time-Cost-Quality Trade-Off Model in Multimodal PERT Network using Simulations and NSGA-II And MOPSO Algorithms
احمد یوسفی هنومرور, مقصود امیری, لعیا الفت, علیرضا ناصر صدرآبادی
Tasmimgiri Va Tahqiq Dar Amaliyyat, 2021
Hybrid Approach for Forecasting Stock Exchange Index Combining Statistical Methods and Artificial Neural Network
Bavand Bayat Azad, Mahdi Pourrafiee, Maghsoud Amiri, S. Pourmohammad Azizi
Optical Memory and Neural Networks Information Optics, 2021
A novel model for multi-criteria assessment based on BWM and possibilistic chance-constrained programming
Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mohammad Ghahremanloo, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene
Computers and Industrial Engineering, 2021
Evaluating life cycle of buildings using an integrated approach based on quantitative-qualitative and simplified best-worst methods (QQM-SBWM)
Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mohammad Ghahremanloo, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Arturas Kaklauskas
Sustainability Switzerland, 2021
Determination of objective weights using a new method based on the removal effects of criteria (MEREC)
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Symmetry, 2021
A hybrid approach for performance evaluation and ranking of divisional structure organisations
International Journal of Advanced Operations Management, 2021
Artificial Intelligence and Financial Markets in Smart Cities
Mohammad Ali Nikouei, Saeid Sadeghi Darvazeh, Maghsoud Amiri
Advanced Sciences and Technologies for Security Applications, 2021
A New Approach in the Network DEA Models for Measurement of Productivity of Decision-Making Units Using Multi-Objective Programming Method
Jafar Esmaeeli, M. Amiri, H. Taghizadeh
International Journal of Industrial Engineering and Production Research, 2021
Efficiency assessment using common-weight fdea under a multi-objective approach as well as possibility and necessity theory
DARIJANI MOOSA, AMIRI MAGHSOUD, TAGHAVIFARD MOHAMMAD TAGHI, HANAFIZADEH PAYAM
Economic Computation and Economic Cybernetics Studies and Research, 2021
Sustainable public transportation evaluation using a novel hybrid method based on fuzzy bwm and mabac
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mohammad Ghahremanloo
Open Transportation Journal, 2021
Robust Fuzzy-Stochastic Programming Model and Meta-Heuristic Algorithms for Dual-Resource Constrained Flexible Job-Shop Scheduling Problem under Machine Breakdown
Parham Soofi, Mehdi Yazdani, Maghsoud Amiri, Mohammad Amin Adibi
IEEE Access, 2021
An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains
Madjid Tavana, Akram Shaabani, Debora Di Caprio, Maghsoud Amiri
Sustainable Operations and Computers, 2021
Prioritizing the barriers and challenges of big data analytics in logistics and supply chain management using MCDM method
Big Data Analytics in Supply Chain Management Theory and Applications, 2020
A new decision-making approach based on fermatean fuzzy sets and WASPAS for green construction supplier evaluation
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Edmundas Kazimieras Zavadskas, Arturas Kaklauskas
Mathematics, 2020
A heuristic buffer sizing algorithm for implementing a renewable energy project
Shakib Zohrehvandi, Mohammad Khalilzadeh, Maghsoud Amiri, Shahram Shadrokh
Automation in Construction, 2020
A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study
Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mohammad Ghahremanloo, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene
Applied Soft Computing Journal, 2020
A novel DEA model for hospital performance evaluation based on the measurement of efficiency, effectiveness, and productivity
Mohammad Ghahremanloo, Aliakbar Hasani, Maghsoud Amiri, Mohammad Hashemi-Tabatabaei, Mehdi Keshavarz-Ghorabaee, Leonas Ustinovičius
Engineering Management in Production and Services, 2020
A Goal Programming Model for BWM
Maghsoud Amiri, Mir Seyed Mohammad Mohsen Emamat
Informatica Netherlands, 2020
A combination of the fuzzy best-worst and Vikor methods for prioritisation the Lean Six Sigma improvement projects
Mohammad Hashemi Tabatabaei, Seyed Mohammad Ali Khatami Firouzabadi, Maghsoud Amiri, Mohammad Ghahremanloo
International Journal of Business Continuity and Risk Management, 2020
A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management
M. Amiri, M. Hashemi-Tabatabaei, M. Ghahremanloo, M. Keshavarz-Ghorabaee, E. K. Zavadskas, A. Banaitis
International Journal of Sustainable Development and World Ecology, 2020
An efficient simulation optimization methodology to solve a multi-objective problem in unreliable unbalanced production lines
Maedeh Mosayeb Motlagh, Parham Azimi, Maghsoud Amiri, Golshan Madraki
Expert Systems with Applications, 2019
Redundancy allocation in series-parallel systems under warm standby and active components in repairable subsystems
Hassan Hadipour, Maghsoud Amiri, Mani Sharifi
Reliability Engineering and System Safety, 2019
A multi-objective optimization model for a reliable generalized flow network design
Mina Dehghani, Vahab Vahdat, Maghsoud Amiri, Elaheh Rabiei, Seyedmohammad Salehi
Computers and Industrial Engineering, 2019
A Multi-Objective Model for Optimizing Iranian Bank Portfolio Investment Considering Resistive Economy Criteria
Ramin Golestaneh, Roxana Fekri, Maghsoud Amiri, Rasoul Sajjad
Proceedings of 2019 15th Iran International Industrial Engineering Conference Iiiec 2019, 2019
Designing innovation policy mix: a multi-objective decision-making approach
Sepehr Ghazinoory, Maghsoud Amiri, Soroush Ghazinoori, Parisa Alizadeh
Economics of Innovation and New Technology, 2019
Developing a multi-method simulation model of a green closed-loop supply chain and determining pricing and advertising policy against a competitor
Samira Parsaiyan, Maghsoud Amiri, Parham Azimi, Mohammad Taghi Taqhavi Fard
International Journal of Business Performance and Supply Chain Modelling, 2019
Novel robust fuzzy programming for closed-loop supply chain network design under hybrid uncertainty
Ehsan Dehghan, Maghsoud Amiri, Mohsen Shafiei Nikabadi, Armin Jabbarzadeh
Journal of Intelligent and Fuzzy Systems, 2019
Redundancy allocation problem with a mixed strategy for a system with k-out-of-n subsystems and time-dependent failure rates based on Weibull distribution: An optimization via simulation approach
Pedram Pourkarim Guilani, Parham Azimi, Mani Sharifi, Maghsoud Amiri
Scientia Iranica, 2019
An integrated type-2 fuzzy decision model based on WASPAS and SECA for evaluation of sustainable manufacturing strategies
Mehdi Keshavarz-Ghorabaee, Kannan Govindan, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė
Journal of Environmental Engineering and Landscape Management, 2019
Hierarchical decision-making using a new mathematical model based on the best-worst method
Mohammad Hashemi Tabatabaei, Maghsoud Amiri, Mohammad Ghahremanloo, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene
International Journal of Computers Communications and Control, 2019
A new group decision-making model based on BWM and its application to managerial problems
Transformations in Business and Economics, 2019
Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design
Ehsan Dehghan, Mohsen Shafiei Nikabadi, Maghsoud Amiri, Armin Jabbarzadeh
Computers and Industrial Engineering, 2018
Optimization redundancy allocation problem with nonexponential repairable components using simulation approach and artificial neural network
Mojtaba Hemmati, Maghsoud Amiri, Mostafa Zandieh
Quality and Reliability Engineering International, 2018
An extended step-wiseweight assessment ratio analysis with symmetric interval type-2 fuzzy sets for determining the subjective weights of criteria in multi-criteria decision-making problems
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Symmetry, 2018
A dynamic fuzzy approach based on the EDAS method for multi-criteria subcontractor evaluation
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Information Switzerland, 2018
A novel integrated AHP-TOPSIS model to deal with big data in group decision making
Proceedings of the International Conference on Industrial Engineering and Operations Management, 2018
A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene
Archives of Civil and Mechanical Engineering, 2018
An enhanced VIKOR MCDM model to solve complex and multi-objective optimization problems
Proceedings of the International Conference on Industrial Engineering and Operations Management, 2018
A comparative analysis of the rank reversal phenomenon in the EDAS and TOPSIS methods
KESHAVARZ-GHORABAEE MEHDI, AMIRI MAGHSOUD, ZAVADSKAS EDMUNDAS KAZIMIERAS, TURSKIS ZENONAS, ANTUCHEVICIENE JURGITA
Economic Computation and Economic Cybernetics Studies and Research, 2018
Ranking of bridge design alternatives: A TOPSIS-FADR method
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antuchevičienė
Baltic Journal of Road and Bridge Engineering, 2018
Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making
Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Informatica Netherlands, 2018
A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Computers and Industrial Engineering, 2017
A new hybrid simulation-based assignment approach for evaluating airlines with multiple service quality criteria
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Journal of Air Transport Management, 2017
Designing a multi-product multi-period supply chain network with reverse logistics and multiple objectives under uncertainty
Mehdi KESHAVARZ GHORABAEE, Maghsoud AMIRI, Laya OLFAT, S. M. Ali KHATAMI FIROUZABADI
Technological and Economic Development of Economy, 2017
Multi-objective redundancy allocation problem for a system with repairable components considering instantaneous availability and strategy selection
Farjam Kayedpour, Maghsoud Amiri, Mahmoud Rafizadeh, Arash Shahryari Nia
Reliability Engineering and System Safety, 2017
Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Jurgita Antuchevičienė
Transport, 2017
Fuzzy extension of the CODAS method for multi-criteria market segment evaluation
Mehdi KESHAVARZ GHORABAEE, Maghsoud AMIRI, Edmundas Kazimieras ZAVADSKAS, Reyhaneh HOOSHMAND, Jurgita ANTUCHEVIČIENĖ
Journal of Business Economics and Management, 2017
A New Approach for Solving Bi-Objective Redundancy Allocation Problem Using DOE, Simulation and ϵ-Constraint Method
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Zenonas Turskis
Informatica Netherlands, 2017
Review of emergency response methods in disaster management, dispatch and control of forces in emergencies
International Journal of Economic Perspectives, 2017
Multi-criteria group decision-making using an extended EDAS method with interval type-2 fuzzy sets
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis
E A M Ekonomie A Management, 2017
Supplier evaluation and selection in fuzzy environments: A review of MADM approaches
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene
Economic Research Ekonomska Istrazivanja, 2017
RETRACTION:Stochastic EDAS method for multi-criteria decision-making with normally distributed data
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antucheviciene
Journal of Intelligent and Fuzzy Systems, 2017
Using s technology, in the automotive industry, with the approach of its implementation in commercial vehicles
Gholamhossein Soleimani, Magsod Amiri, Seyed Mohammadali Khatami, MohammadJavad Isfahani
Industrial Engineering and Management Systems, 2016
Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets
Mehdi Keshavarz Ghorabaee, Edmundas Kazimieras Zavadskas, Maghsoud Amiri, Ahmad Esmaeili
Journal of Cleaner Production, 2016
A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach
Laya Olfat, Maghsoud Amiri, Jahanyar Bamdad Soufi, Mahsa Pishdar
Journal of Air Transport Management, 2016
Optimization using simulation and response surface methodology with an application on subway train scheduling
Mohsen Rahimi Mazrae Shahi, Elnaz Fallah Mehdipour, Maghsoud Amiri
International Transactions in Operational Research, 2016
A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty
Rafi Rahanandeh Poor Langroodi, Maghsoud Amiri
Expert Systems with Applications, 2016
Developing a bi-objective optimization model for solving the availability allocation problem in repairable series–parallel systems by NSGA II
Maghsoud Amiri, Mostafa Khajeh
Journal of Industrial Engineering International, 2016
Extended EDAS method for fuzzy multi-criteria decision-making: An application to supplier selection
Mehdi Keshavarz Ghorabaee, Edmundas Kazimieras Zavadskas, Maghsoud Amiri, Zenonas Turskis
International Journal of Computers Communications and Control, 2016
Evaluation by an Area-based Method of Ranking Interval Type-2 Fuzzy sets (EAMRIT-2F) for multi-criteria group decision-making
Transformations in Business and Economics, 2016
A new method of assessment based on fuzzy ranking and aggregated weights (AFRAW) for MCDM problems under type-2 fuzzy environment
Economic Computation and Economic Cybernetics Studies and Research, 2016
Genetic algorithm for solving bi-objective redundancy allocation problem with k-out-of-n subsystems
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Parham Azimi
Applied Mathematical Modelling, 2015
Multi-Criteria Project Selection Using an Extended VIKOR Method with Interval Type-2 Fuzzy Sets
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Jamshid Salehi Sadaghiani, Edmundas Kazimieras Zavadskas
International Journal of Information Technology and Decision Making, 2015
Performance evaluation of Tehran-qom highway emergency medical service system using hypercube queuing model
IIE Annual Conference and Expo 2015, 2015
An efficient simulated based methodology to maximize production rate in unreliable job shop system
IIE Annual Conference and Expo 2015, 2015
A developing model for clustering and ranking bank customers
Khalil Sajjadi, Mohammad Ali Khatami Firuzabadi, Maghsud Amiri, Jamshid Salehi Sadaghiani
International Journal of Electronic Customer Relationship Management, 2015
Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets
Mehdi Keshavarz Ghorabaee, Maghsoud Amiri, Jamshid Salehi Sadaghiani, Golnoosh Hassani Goodarzi
International Journal of Advanced Manufacturing Technology, 2014
Modeling and analysis of the causes of bullwhip effect in centralized and decentralized supply chain using response surface method
Amir Hassanzadeh, Ahmad Jafarian, Maghsoud Amiri
Applied Mathematical Modelling, 2014
Discussion of time, cost, and environmental impact analysis on construction operation optimization using genetic algorithms by gulbin ozcan-deniz, yimin zhu, and victor ceron
E. Fallah-Mehdipour, M. Amiri, J. Salehi Sadaghiyani
Journal of Management in Engineering, 2014
Decision making with unknown data: Development of ELECTRE method based on black numbers
Shide Sadat Hashemi, Seyed Hossein Razavi Hajiagha, Maghsoud Amiri
Informatica Netherlands, 2014
Simultaneous minimization of total tardiness and waiting time variance on a single machine by genetic algorithms
Maghsoud Amiri, Laya Olfat, Mehdi Keshavarz Ghorabaee
International Journal of Advanced Manufacturing Technology, 2014
Framework for prioritizing and allocating six sigma projects using fuzzy TOPSIS and fuzzy expert system
Scientia Iranica, 2014
Designing a model for dynamic capabilities evaluation in equipment manufacturing enterprises of Iran power industry
Ashraf Sadat Pasandideh, Reza Salami, Jahanyar Bamdad Soofi, Maghsud Amiri
Research Journal of Applied Sciences Engineering and Technology, 2013
A fuzzy MCDM model with objective and subjective weights for evaluating service quality in hotel industries
Nima Zoraghi, Maghsoud Amiri, Golnaz Talebi, Mahdi Zowghi
Journal of Industrial Engineering International, 2013
Performance measurement of companies of Pharmaceutical substances industry in Tehran Stock Exchange with the approach of COLS and DEA
Life Science Journal, 2013
Application of a hybrid simulated annealing-mutation operator to solve fuzzy capacitated location-routing problem
Farhaneh Golozari, Azizollah Jafari, Maghsoud Amiri
International Journal of Advanced Manufacturing Technology, 2013
Synergy of ICA and MCDM for multi-response optimisation problems
Saeid Fallah‐Jamshidi, Maghsoud Amiri
International Journal of Production Research, 2013
A multi-stage decision-making process for multiple attributes analysis under an interval-valued fuzzy environment
S. Meysam Mousavi, Behnam Vahdani, R. Tavakkoli-Moghaddam, S. Ebrahimnejad, M. Amiri
International Journal of Advanced Manufacturing Technology, 2013
A multiple criteria decision making technique for supplier selection and inventory management strategy: A case of multi-product and multi-supplier problem
Morteza Parhizkari, Maghsoud Amirib, Morteza Mousakhani
Decision Science Letters, 2013
Forecasting stock price using grey-fuzzy technique and portfolio optimization by invasive weed optimization algorithm
A. Hajnoori, M. Amiri, A. Alimi
Decision Science Letters, 2013
Linear and nonlinear estimation of the cost function of a two-echelon inventory system
Mehdi Seifbarghy, Maghsoud Amiri, Mostafa Heydari
Scientia Iranica, 2013
Solving a generalised precedence multi-objective multi-mode time-cost-quality trade-off project scheduling problem using a modified NSGA-II algorithm
Maghsoud Amiri, Amir Reza Abtahi, Kaveh Khalili Damghani
International Journal of Services and Operations Management, 2013
Multi-objective portfolio optimization of mutual funds under downside risk measure using fuzzy theory
A. Alimi, M. Zandieh, M. Amiri
International Journal of Industrial Engineering Computations, 2012
Buffer allocation in unreliable production lines based on design of experiments, simulation, and genetic algorithm
Maghsoud Amiri, Ali Mohtashami
International Journal of Advanced Manufacturing Technology, 2012
Solving binary-state multi-objective reliability redundancy allocation series-parallel problem using efficient epsilon-constraint, multi-start partial bound enumeration algorithm, and DEA
Kaveh Khalili-Damghani, Maghsoud Amiri
Reliability Engineering and System Safety, 2012
Applying the noising method to find the best regression model
Maghsoud Amiri, Nasim Ekram Nosratian, Asma Jamshidi, Mostafa Ekhtiari
International Journal of Advanced Manufacturing Technology, 2012
Comparisons of bi-objective genetic algorithms for hybrid flowshop scheduling with sequence-dependent setup times
S.M. Mousavi, M. Zandieh, M. Amiri
International Journal of Production Research, 2012
Nadir compromise programming: A model for optimization of multi-objective portfolio problem
Maghsoud Amiri, Mostafa Ekhtiari, Mehdi Yazdani
Expert Systems with Applications, 2011
Application of fuzzy multi-attribute decision making in determining the critical path by using time, cost, risk, and quality criteria
Maghsoud Amiri, Farhaneh Golozari
International Journal of Advanced Manufacturing Technology, 2011
An efficient bi-objective heuristic for scheduling of hybrid flow shops
S. M. Mousavi, M. Zandieh, M. Amiri
International Journal of Advanced Manufacturing Technology, 2011
A variable neighbourhood search algorithm for the flexible job-shop scheduling problem
M. Amiri, M. Zandieh, M. Yazdani, A. Bagheri
International Journal of Production Research, 2010
Extension of VIKOR method based on interval-valued fuzzy sets
Behnam Vahdani, Hasan Hadipour, Jamshid Salehi Sadaghiani, Maghsoud Amiri
International Journal of Advanced Manufacturing Technology, 2010
Nonlinear continuous multi-response problems: A novel two-phase hybrid genetic based metaheuristic
Saeid Fallah-Jamshidi, Maghsoud Amiri, Neda Karimi
Applied Soft Computing Journal, 2010
Flexible job-shop scheduling with parallel variable neighborhood search algorithm
M. Yazdani, M. Amiri, M. Zandieh
Expert Systems with Applications, 2010
Multi-objective scheduling of dynamic job shop using variable neighborhood search
M.A. Adibi, M. Zandieh, M. Amiri
Expert Systems with Applications, 2010
An integrated eigenvector-DEA-TOPSIS methodology for portfolio risk evaluation in the FOREX spot market
M. Amiri, M. Zandieh, B. Vahdani, R. Soltani, V. Roshanaei
Expert Systems with Applications, 2010
A hybrid multi-criteria decision-making model for firms competence evaluation
M. Amiri, M. Zandieh, R. Soltani, B. Vahdani
Expert Systems with Applications, 2009
A robust parameter design for multi-response problems
M. Zandieh, M. Amiri, B. Vahdani, R. Soltani
Journal of Computational and Applied Mathematics, 2009
A methodology for analyzing the transient availability and survivability of a system with every combination of components by using fault tree
Maghsoud Amiri, Farhad Ghassemi-T, Mohsen Rahimi Maz, Jamshid Salehi Sad, Ali Mahtassham
Journal of Applied Sciences, 2009
Developing and solving a new model for the location problems: Fuzzy-Goal programming approach
M. Amiri, A. Kazemi, J.S. Sadaghiani, A. Yaghoubi, H. Mashatzade
Journal of Applied Sciences, 2009
Response surface methodology and genetic algorithm in optimization of cement clinkering process
Maghsoud Amiri, Amir Abbas Najafi, Komeil Gheshlaghi
Journal of Applied Sciences, 2008
A methodology for optimizing statistical multi-response problems using genetic local search algorithm through fuzzy goal programming
M. Amiri, N. Karimi, S.F. Jamshidi
Journal of Applied Sciences, 2008
Developing a new ELECTRE method with interval data in multiple attribute decision making problems
M. Amiri, N.E. Nosratian, A. Jamshidi, A. Kazemi
Journal of Applied Sciences, 2008
Detennining optimum amount of effective factors in automobile brake drum rotatory torque using response surface methodology
M. Amiri, A. Kazemi, H. Hadipour, R. Azizmohamm
Journal of Applied Sciences, 2008
Supplier selection via principal component analysis: An empirical examination
M. Amiri, B. Hadadi, A.H. Amirkhani, H. Izadbakhsh
Journal of Applied Sciences, 2008
A methodology for analyzing the transient availability and survivability of a system with the standby components in two cases: The identical components and the non-identical components
M. Amiri, F. Ghassemi-T, A. Mohtashami, J.S. Sadaghiani
Journal of Applied Sciences, 2008
A hybrid MCDM model with interval weights and data for convention site selection
M. Amiri, M. Zandieh, B. Vahdani, M. Yazdani, R. Soltani
Journal of Applied Sciences, 2008
A methodology for optimizing statistical multi-response problems using fuzzy goal programming
Scientia Iranica, 2008
A methodology for analyzing the transient availability and survivability of a system with repairable components
Maghsoud Amiri, Farhad Ghassemi-Tari
Applied Mathematics and Computation, 2007
A methodology for analyzing the transient reliability of systems with identical components and identical repairmen
Scientia Iranica, 2007

Maghsoud Amiri

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