Maghsoud Amiri
@atu.ac.ir
Department of Industrial Management, Faculty of Management and Accounting
Allameh Tabataba’i University
85
Scopus Publications
4358
Scholar Citations
22
Scholar h-index
63
Scholar i10-index
Scopus Publications
- Robust fuzzy programming for designing a closed-loop supply chain under uncertainty and flexible constraints
Seyyed Jalaladdin Hosseini Dehshiri and Maghsoud Amiri
Elsevier BV - A bi-objective scheduling-sharing optimization model for criminal court planning under uncertainty
Zeinab Lashgari, Behnam Vahdani, Habib Reza Gholami, and Maghsoud Amiri
Informa UK Limited - 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, and Jurgita Antuchevičienė
Vilnius Gediminas Technical University
The lack of information and hybrid uncertainties in Supply Chain (SC) parameters affect managerial decisions. It is inevitable to consider random uncertainty based on fuzzy scenarios and cognitive uncertainty to model a Sustainable Closed-Loop SC (SCLSC) problem. Using Pentagonal Fuzzy Numbers (PFNs) has higher comprehensiveness and accuracy than triangular and trapezoidal fuzzy numbers due to taking into account higher uncertainty, less lack of information, and taking into account maximum subjectivity Decision-Makers (DMs). There is a gap in the literature regarding the use of PFNs in SCLSC problems. This research presents a new model using PFNs to solve deficiencies in stochastic-possibilistic programming. Developing a Robust Stochastic-Possibilistic (RSP) based on PFNs under fuzzy scenarios, presenting measures of necessity, possibility, and credibility for making decisions founded on different levels of DMs’ risk, and proposing global solutions through providing linear programming models are the main innovations and contributions of the present research. An actual case study evaluates the presented approach to reduce the cost and carbon pollution in the stone paper SC. In the suggested method, trade-offs could be formed between the mean of objective functions and risk by modifying the robustness coefficients. According to the proposed approach, an optimal value of confidence is specified. Additionally, robustness deviations are controlled in the model, which results in more accurate and reliable results. Numerical simulations confirmed the efficacy of the robust approach proposed. First published online 7 February 2025 - 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, and Maghsoud Amiri
Elsevier BV - 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, and Ttu Le
Elsevier BV - Gresilient Supplier Evaluation and Selection under Uncertainty Using a Novel Streamlined Full Consistency Method
Mohammad Hashemi-Tabatabaei, Maghsoud Amiri, and Mehdi Keshavarz-Ghorabaee
MDPI AG
Background: Supply chain management (SCM) plays a fundamental role in the progress and success of organizations and has continuously evolved to better adapt to today’s complex business environments. Consequently, the issue of supplier evaluation and selection (SES), which is one of the most critical decisions in SCM, has gained special significance and has been examined from various perspectives. The concept of green and resilient (gresilient) SCM has emerged in response to recent concerns about environmentally friendly production and operations, as well as organizations’ ability to cope with crises and disasters. In the rapidly growing construction industry, applying gresilient principles can ensure green operations and help overcome future challenges. Methods: This study focuses on gresilient SES in a real-world construction case study, proposing a streamlined FUCOM (S-FUCOM) approach. The proposed method streamlines traditional FUCOM processes to solve decision-making problems in deterministic and uncertain environments. Several numerical examples are provided to illustrate its applicability. Results: the case study results identify air emissions, environmental management systems, and restorative capacity as the most critical gresilient SES criteria. Conclusions: The third supplier emerged as the top performer based on decision-making indicators. Finally, a sensitivity analysis was conducted across 20 scenarios, demonstrating that S-FUCOM is robust and provides stable results. - 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, and Mani Sharifi
SAGE Publications
Many studies have been conducted on designing systems based on the redundancy allocation problem (RAP). However, considering repairable warm-standby components (which are subject to failure even in an idle state) is somewhat neglected by researchers due to the complex mathematical models. One of the crucial aspects of these systems is considering the probability of failure when switching to a standby component or subsystem. This study tries to highlight these imperfect switching and switch selection strategies in the redundancy allocation designs. In this regard, this article is dedicated to developing two RAP models (a single objective and a bi-objective) with warm standby repairable components by proposing a solving approach based on the genetic algorithm (GA) and Markov chains. Since the model’s objective functions minimize the system’s mean time to failure (MTTF) and cost, we discussed how imperfect switches affect the total system’s cost and mean time to failure for the proposed RAPs. Finally, we adopted a GA and a non-dominated sorting genetic algorithm (NSGA-II) to solve the proposed models due to the models’ complexity. Solving these models clearly indicates the critical role of selecting an appropriate switching strategy on the system’s costs and reliability. - 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, and M. Amiri
Elsevier BV - 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, and Ttu Le
Elsevier BV - Measuring productivity using Data Envelopment Analysis and MultipleObjective Programming in flows, logistic and transportation
Maghsoud Amiri, Jafar Esmaeeli, Mani Sharifi, Shakib Zohrehvandi, and Lucia Knapcikova
4S go, s.r.o.
The logistic and transportation plays an integral part in maintaining a well-functioning organization. One of the most extensively used, original, famous, and popular non-parametric methods for evaluating the efficiency of organizations is the Data Envelopment Analysis, DEA technique. Suppose we can formulate the concept of effectiveness in the DEA technique. In that case, we will be able to measure the productivity of organizations since productivity is a blend of efficiency and effectiveness. Several studies have been developed, e.g., the “Malmquist Productivity Index” (MPI) and the “Lunberger Productivity Index” (LPI), which assess the productivity of corporations through the DEA technique, but these models do not display all factors in a system. Also, they need at least two periods to appraise productivity. Furthermore, their two components of efficiency and effectiveness are not considerably evident. Moreover, sensitivity analysis is not possible in these models. Therefore, a model was presented that can measure the relative productivity of decision-making units through the technique of DEA, simultaneously in a period through the two elements of efficiency and effectiveness with the feature of sensitivity analysis and its solution method is more reliable due to the use of multi-objective planning method. In addition, a case study was used to indicate the application of the proposed model, which demonstrated that a branch could be efficient but unproductive. - 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, and Mani Sharifi
Elsevier BV - Considering the circular economy for designing closed-loop supply chain under hybrid uncertainty: A robust scenario-based possibilistic-stochastic programming
Seyyed Jalaladdin Hosseini Dehshiri and Maghsoud Amiri
Elsevier BV - Evaluating the blockchain technology strategies for reducing renewable energy development risks using a novel integrated decision framework
Seyyed Jalaladdin Hosseini Dehshiri, Maghsoud Amiri, and Seyed Mojtaba Hosseini Bamakan
Elsevier BV - 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, and Mostafa Hajiaghaei-Keshteli
Elsevier BV - A decision support approach for financial policy measures selection
Parisa Alizadeh and Maghsoud Amiri
Emerald
Purpose Business research and development (R&D) is of critical importance for innovation and economic growth. The purpose of this study is to present an application of the analytic hierarchy process (AHP) to select the most appropriate policy measure to support the business expenditure on R&D (BERD). Design/methodology/approach AHP method adopts a multi-criteria approach that can be used to analyse and prioritize the policy measures based on pairwise comparisons between several attributes that affect the selection of a policy tool. The model formulated in this study is applied to a real case of supporting decision-makers in some high-tech sectors in Iran. Findings The results highlight the four main financial policy measures implemented in Iran to enhance the BERD; those are, public procurement for R&D, direct subsidies for R&D, grants for R&D and income tax credit for firms have the priority values of 0.280, 0.260, 0.249 and 0.211, respectively. Research limitations/implications The findings of this study are based on subjective evaluation of policy measures by experts of designing policy measures. Objective assessment of policy measures is important too because the preferences of policy interventions change during the time. Another significant point is that the priorities of specific policy measures depend on the effectiveness of their implementing arrangement and the previously successful experience of firms in receiving them. Originality/value This paper presents an application of the AHP to select the most appropriate policy measure to support the BERD. This method could be used to prioritize the policies and interventions that governments implement to solve different problems, especially at the innovation system level. - 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, and Ttu Le
Informa UK Limited - Multi-Criteria Personnel Evaluation and Selection Using an Objective Pairwise Adjusted Ratio Analysis (OPARA)
KESHAVARZ-GHORABAEE Mehdi, RASTEGAR Abdolghani, AMIRI Maghsoud, ZAVADSKAS Edmundas Kazimieras, and ANTUCHEVICIENE Jurgita
Bucharest University of Economic Studies - Redundancy allocation problem in repairable systems with variegated components: a simulation-based optimization approach
Farhad Hadinejad and Maghsoud Amiri
Informa UK Limited - Analysis of the performance of supply chain resilience strategies using a simulation approach (case study: natural stone industry)
Maede Mirzaaliyan, Mojtaba Hajian Heidary, and Maghsoud Amiri
Inderscience Publishers - Facility delocation model considering efficiency and equity: banks merger
Mohammad Taghi Taghavifard, Maghsoud Amiri, Saeed Zarghami, and Ahmad Makui
Inderscience Publishers
RECENT SCHOLAR PUBLICATIONS
- Developing an E-commerce Trust Model in Crowdfunding by Integrating Blockchain and Edge Computing Using Fuzzy Technique
M Saeidi Aghdam, SYX Komiak, M Amiri, A Bahiraie
Journal of Fuzzy Extension and Applications 2025 - A Simulation Model of Credit Risk in Supply Chain Finance Using a Dynamic Systems Analysis Approach
M Sargolzaei, R Abed, M Amiri, MA Dehghan Dehnavi
Advances in Industrial Engineering 2025 - A Systematic Literature Review of Price Gaps in Closed-End Funds Using the Meta-Synthesis Method
A Maleknia, J Shekarkhah, M Amiri
Empirical Research in Accounting 2025 - An Expected Value-Based Symmetric–Asymmetric Polygonal Fuzzy Z-MCDM Framework for Sustainable–Smart Supplier Evaluation
M Hashemi-Tabatabaei, M Amiri, M Keshavarz-Ghorabaee
Information 16 (3), 187 2025 - Robust fuzzy programming for designing a closed-loop supply chain under uncertainty and flexible constraints
SJH Dehshiri, M Amiri
Cleaner Logistics and Supply Chain, 100209 2025 - A Fuzzy OPARA-Based Group Decision-Making Approach: Application to Sustainable Solutions Assessment
M Keshavarz-Ghorabaee, A Mohammadi-Ostadkalayeh, M Amiri, ...
Informatica, 1-31 2025 - A bi-objective scheduling-sharing optimization model for criminal court planning under uncertainty
Z Lashgari, B Vahdani, HR Gholami, M Amiri
Journal of the Operational Research Society, 1-18 2025 - Improving the quality of assessment of managers in assessment and development centers using the TOPSIS method developed with Hexagonal Fuzzy Numbers
F Hadinejad, M Amiri
Journal of Human Resource Management 2025 - Designing a sustainable closed-loop supply chain using robust possibilistic-stochastic programming in pentagonal fuzzy numbers
SJH Dehshiri, M Amiri, M Hajiaghaei-Keshteli, M Keshavarz-Ghorabaee, ...
Transport 39 (4), 323–349-323–349 2024 - Two-Echelon Location-Routing under Uncertainty Considering Reliability
R Behbamzadeh, M Amiri, MT Taghavifard, A Yousefli
Journal of Industrial Management Perspective 2024 - A scientometric analysis of profitability uncertainty literature: current status, emerging trends
B Parsafard, Q Boloue, M Amiri, MJ Salimi
Journal of Accounting Knowledge 2024 - Evaluating challenges of circular economy and Internet of Things in renewable energy supply chain through a hybrid decision-making framework
SJH Dehshiri, A Mostafaeipour, M Amiri
Journal of Environmental Management 370, 122785 2024 - Enhancing supply chain performance by integrating knowledge management and lean, agile, resilient, and green paradigms
SJ Hosseini Dehshiri, M Amiri, A Mostafaeipour, D Pamučar, T Le
Journal of Management Analytics, 1-32 2024 - Detecting financial fraud in public companies using financial and non-financial metrics with a machine learning approach
A Bagherian Kasgari, I Raeesi Vanani, M Amiri, S Homayoun
Business Intelligence Management Studies 13 (50) 2024 - Detecting financial fraud in public companies using financial and non-financial metrics with a machine learning approach
AB Kasgari, IR Vanani, M Amiri, S Homayoun
2024 - A model for Catch Up in Downstream Petrochemical Industries in Iran
A Kazazi, H Eftekhari Targhi, M Amiri, SS Ghazinouri
Iranian Journal of Oil and Gas Science and Technology 2024 - Gresilient Supplier Evaluation and Selection under Uncertainty Using a Novel Streamlined Full Consistency Method
M Hashemi-Tabatabaei, M Amiri, M Keshavarz-Ghorabaee
Logistics 8 (3), 90 2024 - A Simulation-Based Bi-Objective Optimization Model for Supply Chain Inventory Replenishment: A Case Study of the Electric Industry
B Moghimi Shahri, A Khatami Firouzabadi, M Amiri, P Azimi
Journal of Industrial Management Perspective 14 (3), 236-260 2024 - Redundancy allocation problem in repairable systems with variegated components: a simulation-based optimization approach
F Hadinejad, M Amiri
Journal of Statistical Computation and Simulation, 1-18 2024 - Systematic review of uncertainty literature with meta synthesis approach
B Parsafard, G Bolou, M Amiri, MJ Salimi
Empirical Research in Accounting 2024
MOST CITED SCHOLAR PUBLICATIONS
- Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)
M Keshavarz-Ghorabaee, M Amiri, EK Zavadskas, Z Turskis, ...
Symmetry 13 (4), 525 2021
Citations: 625 - Extended EDAS method for fuzzy multi-criteria decision-making: an application to supplier selection
MK Ghorabaee, EK Zavadskas, M Amiri, Z Turskis
International Journal of Computers Communications & Control 11 (3), 358-371 2016
Citations: 441 - Flexible job-shop scheduling with parallel variable neighborhood search algorithm
M Yazdani, M Amiri, M Zandieh
Expert Systems with Applications 37 (1), 678-687 2010
Citations: 345 - Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets
MK Ghorabaee, EK Zavadskas, M Amiri, A Esmaeili
Journal of Cleaner Production 137, 213-229 2016
Citations: 325 - Multi-objective scheduling of dynamic job shop using variable neighborhood search
MA Adibi, M Zandieh, M Amiri
Expert Systems with Applications 37 (1), 282-287 2010
Citations: 268 - Fuzzy extension of the CODAS method for multi-criteria market segment evaluation
MK Ghorabaee, M Amiri, EK Zavadskas, R Hooshmand, J Antuchevičienė
Journal of Business Economics and Management 18 (1), 1-19 2017
Citations: 236 - A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations
M Keshavarz Ghorabaee, M Amiri, EK Zavadskas, J Antucheviciene
Archives of Civil and Mechanical Engineering 18 (1), 32-49 2018
Citations: M approach for evaluation of construction equipment with sustainability considerations - A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations
MK Ghorabaee, M Amiri, EK Zavadskas, J Antucheviciene
Archives of Civil and Mechanical Engineering 18 (1), 32-49 2018
Citations: 229 - A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations
MK Ghorabaee, M Amiri, EK Zavadskas, Z Turskis, J Antucheviciene
Computers & Industrial Engineering 112, 156-174 2017
Citations: 223 - Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets
M Keshavarz Ghorabaee, M Amiri, E Kazimieras Zavadskas, ...
Transport 32 (1), 66-78 2017
Citations: 209 - Extension of VIKOR method based on interval-valued fuzzy sets
B Vahdani, H Hadipour, JS Sadaghiani, M Amiri
The International Journal of Advanced Manufacturing Technology 47 (9-12 2010
Citations: 195 - Supplier evaluation and selection in fuzzy environments: a review of MADM approaches
M Keshavarz Ghorabaee, M Amiri, EK Zavadskas, J Antucheviciene
Economic research-Ekonomska istraživanja 30 (1), 1073-1118 2017
Citations: 193 - Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets
MK Ghorabaee, M Amiri, JS Sadaghiani, GH Goodarzi
The International Journal of Advanced Manufacturing Technology 75 (5-8 2014
Citations: 192 - A New Decision-Making Approach Based on Fermatean Fuzzy Sets and WASPAS for Green Construction Supplier Evaluation
M Keshavarz-Ghorabaee, M Amiri, M Hashemi-Tabatabaei, ...
Mathematics 8 (12), 2202 2020
Citations: 181 - Simultaneous Evaluation of Criteria and Alternatives (SECA) for Multi-Criteria Decision-Making
M KESHAVARZ-GHORABAEE, M AMIRI, EK ZAVADSKAS, Z TURSKIS, ...
INFORMATICA 29 (2), 265-280 2018
Citations: 155 - A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management
M Amiri, M Hashemi-Tabatabaei, M Ghahremanloo, ...
International Journal of Sustainable Development & World Ecology, 1-18 2020
Citations: 145 - Stochastic EDAS method for multi-criteria decision-making with normally distributed data
M Keshavarz Ghorabaee, M Amiri, EK Zavadskas, Z Turskis, ...
Journal of Intelligent & Fuzzy Systems 33 (3), 1627-1638 2017
Citations: 140 - Developing a DEMATEL method to prioritize distribution centers in supply chain
M Amiri, J Sadaghiyani, N Payani, M Shafieezadeh
Management Science Letters 1 (3), 279-288 2011
Citations: 138 - A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty
RRP Langroodi, M Amiri
Expert Systems with Applications 51, 231-244 2016
Citations: 125 - Buffer allocation in unreliable production lines based on design of experiments, simulation, and genetic algorithm
M Amiri, A Mohtashami
The International Journal of Advanced Manufacturing Technology 62 (1-4), 371-383 2012
Citations: 123