Bikash Koli Dey
@hongik.ac.kr
Post-doctoral fellow, Department of Industrial & Data Engineering
Hongik University
Dr. Bikash Koli Dey is a post-doctoral researcher in the Department of Industrial Engineering, Hongik University, South Korea. He has completed his B.Sc. in Mathematics as a Major in 2012 and M.Sc. in 2014 in Applied Mathematics from Vidyasagar University, India. He obtained his Ph.D. from Banasthali Vidyapith, India in 2019 in the field of Operations Research (Applied Mathematics). He has published many journal articles in reputed journals of Applied Mathematics and Industrial Engineering. His citations increase by more than 400. He is a member of several reputed learned societies. He is a reviewer of several national and international journals. He is an Academic Editor of the Journal Advances in Operations Research and International Journal of Mathematics and Mathematical Sciences. He is also a guest editor of one International journal.
EDUCATION
Bikash Koli Dey completed his PhD at the Department of Mathematics & Statistic, Banasthali Vidyapith, Jaipur, Rajasthan. Bikash Koli Dey Completed his Graduation and Post Graduation from Vidyasagar University, Midnapore, West Bengal. He published many research articles in reputed international journals. His area of research is Smart Production System, Production planning, Production control, Inventory, Optimization etc.
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Bikash Koli Dey, Hyesung Seok, and Kwanghun Chung
MDPI AG
Global emphasis on sustainable development is widespread, with industries playing a pivotal role in advancing global sustainability within the business and retail sectors. Consumer awareness of environmental concerns, such as pollution, prompts a focus on product biodegradability and eco-friendliness. Consequently, customers are drawn to products with higher green credentials. This study delves into the effectiveness of green attributes in retail industries, exploring the optimization of profit through a variable production rate and variable unit production cost, considering the selling price and the demand dependent on the product’s green level. In the long run, production systems may shift to an “out-of-control” state, resulting in the random production of imperfect items that must be remanufactured to maintain the industry’s positive brand image. To mitigate the impact of defective items, the industry opts to partially outsource a percentage of items, preventing shortages. However, this complex retailing system generates a significant amount of carbon emissions. This study introduces investments aimed at reducing carbon emissions to address this issue. In contrast with the existing literature, a green-level-dependent unit raw material cost is considered here for variable unit production cost. Ultimately, this study seeks to maximize the overall system’s profit by optimizing the selling price, order quantity, production rate, green level, and carbon emission reduction investments. The classical optimization technique is utilized to obtain analytic optimum results for the decision variables and total profit. Special cases and sensitivity analyses illustrate the real-world applicability and impact of green levels. Numerical findings indicate that considering the product’s green-level-dependent demand and unit production rate is 22.44% more beneficial than nongreen products, partial outsourcing provides a 1.28% advantage, and flexibility in the production rate yields a 69.60% benefit over traditional systems without green elements. Additionally, technological investments to reduce carbon emissions result in a notable reduction of up to 4.53%.
Alotosh Datta, Biswajit Sarkar, Bikash Koli Dey, Isha Sangal, Liu Yang, Shu-Kai S. Fan, Suman Kalyan Sardar, and Lakshmi Thangavelu
Elsevier BV
Bikash Koli Dey and Hyesung Seok
Springer Science and Business Media LLC
Biswajit Sarkar and Bikash Koli Dey
Elsevier BV
Biswajit Sarkar, Hyesung Seok, Tapas Kumar Jana, and Bikash Koli Dey
Elsevier BV
Baishakhi Ganguly, Bikash Koli Dey, Sarla Pareek, and Biswajit Sarkar
MDPI AG
Several industries are facing many challenges in their production systems due to increasing customer demand. Customer demand is growing for products with innovative features that are flexible, good quality, and appealing. This paper presents a flexible production-inventory system that produces multiple parts of a product. Defective products may be produced during the production process. Those defective products are remanufactured immediately after inspection. Limited budget and space constraints are considered, along with product assembly. Based on different distribution functions, non-linear equations are calculated using the Kuhn–Tucker optimization technique. Numerical examples, a graphical representation, and sensitivity analysis are presented in this paper. The solution procedure evaluates the minimization of the total investment based on the χ2 distribution. This study examines electronic products those are more likely to be defective rather than perfect during production.
Seok-Beom Choi, , Bikash Koli Dey, Biswajit Sarkar, , , and
American Institute of Mathematical Sciences (AIMS)
Online-to-offline (O2O) retailing strategy is one of the trending topics in the business industry. The current study focuses on an advanced retailing strategy for a single item for a retailer and a manufacturer. Reminding the revolution in the internet world, a dual-channel retailing system is developed in this current study. The retailer offers their item through online and offline mode, though the producer prefers only offline mode. Besides, manufacturer provide different services to their clients through the product's life cycle to keep the company's brand image. The product's demand depends on the selling price and its service for both channels (offline and online) to their customers. To upgrade the services, some investments are implied to decrease the lead time. In expansion, to increase the demand and optimize the system benefit, the manufacturer gives their customers different services (unpaid, partially paid, full paid). The supply chain's benefit is optimized beside the ideal esteem of the decision variables. {Application of different service strategies in O2O retailing are near about \\begin{document}$ 71\\% $\\end{document} beneficial compared to traditional supply chain. Numerical experiment proved that full-paid services are near about \\begin{document}$ 79\\% $\\end{document} beneficial compare to partially paid service; however, partially paid services are recommended for industrial benefit.} Different numerical examples, exceptional cases, and sensitivity analyses were performed to prove the model's applicability along with graphical representations.
Mitali Sarkar, Bikash Koli Dey, Baishakhi Ganguly, Neha Saxena, Dharmendra Yadav, and Biswajit Sarkar
Elsevier BV
Bikash Koli Dey, Alotosh Datta, and Biswajit Sarkar
Elsevier BV
Bikash Koli Dey, Mitali Sarkar, Kripasindhu Chaudhuri, and Biswajit Sarkar
Elsevier BV
Bikash Koli Dey, Nilkamal Bar, Sharmila Saren, Tapas Kumar Jana, and Biswajit Sarkar
CRC Press
Bikash Koli Dey, Ashish Kumar Mondal, Tapas Kumar Jana, and Biswajit Sarkar
CRC Press
Surendra Vikram Singh Padiyar, Vandana, Shiv Raj Singh, Dipti Singh, Mitali Sarkar, Bikash Koli Dey, and Biswajit Sarkar
MDPI AG
A business can be properly managed globally when it is under a supply chain. When it is a global supply chain, inflation has a huge effect on supply chain profit. Another important factor is the deterioration of products. Products can deteriorate during storage or transportation, which badly affects each supply chain player. This study develops a three-echelon supply chain model through which products can be delivered to customers easily. In this model, one producer and multiple buyers are considered, and each buyer has a separate group in which multiple suppliers have been taken. Inflation is also added to the model for inflationary fluctuations. To understand this model in real life, a numerical example is discussed and the total profit from the supply chain is extracted. Sensitivity analysis is also shown at the end of the model to find out the effect on the model due to changes in some parameters that affect this model highly. After developing this model, it was found that if the inflation rate falls, then the total profit will increase continuously. On the contrary, if the inflation rate increases, then, in this situation, the total profit will decrease continuously. At present, vaccine makers’ total profit can support the economy of any country, and in this model, the inflation rate decreases as profit increases.
Biswajit Sarkar, Bikash Koli Dey, Mitali Sarkar, and Sung Jun Kim
Elsevier BV
Bikash Koli Dey, Ibrahim Yilmaz, and Hyesung Seok
MDPI AG
The present study focuses on supply chain management to improve its sustainability from economic, environmental, and social perspectives. First, improving production process reliability and cost reduction are two main factors for enhancing economic sustainability. Hence, we introduced autonomated inspection and invested in ordering and setup costs. Second, reducing the carbon footprint in supply chains is the main pillar of their environmental stewardship, which is addressed by an eco-friendly and flexible production system in this study. Finally, an advanced single-setup-multi-delivery (SSMD) strategy is utilized to improve social aspects associated with human labor increase. For practicality, demand is considered as the selling price and is quality dependent. The sustainability enhancement is transformed as a term of profit; therefore, our model maximizes the total profit of the supply chain by optimizing a manufacturer’s and retailer’s decision variables. Numerical examples show that autonomation technology increases the system’s reliability by 64%, where eco-production reduces carbon emission by up to 16%, and the total profit increases by up to 25%. Moreover, the application of advanced SSMD reduces the transportation cost by up to 34%.
Bikash Koli Dey, Jeryang Park, and Hyesung Seok
EDP Sciences
Environmental-friendly technology helps to reduce waste and carbon emissions of an imperfect production system. In general, the defective products generated during the “out-of-control” state are treated as waste. The single-stage manufacturing-remanufacturing system effectively depletes such defective spare parts within the same cycle but causes a tremendous amount of carbon. In such a circumstance, green technology to reduce carbon emissions is highly recommended. Also, the autonomated inspection makes defective detection more reliable and is ultimately helpful for waste reduction. Hence, in this study, we optimize the production plan along with the investments for applying green technology and autonomated inspection in an assembled product manufacturing-remanufacturing system. The numerical result shows that the appropriate green technology decreases carbon emissions up to 2.81% and autonomated inspection reduces the waste up to 2.37%, along with a reduction of entire production cycle cost up to 18.26%. In addition, the setup cost reduction is considered due to the characteristics of assembled product production.
Seok-Beom Choi, Bikash Koli Dey, Sung Jun Kim, and Biswajit Sarkar
EDP Sciences
With the advancement of technologies, industries tries to adopt the advantages of the technology. Customers are busy in their daily life, and the online platform is the best option for retail, whereas traditional customers still prefer to visit the retail shop. Few customers choose the product online but buy it offline or vice-versa. Owing to all those circumstances, current study focuses on an intelligent dual channel (online-to-offline) strategy in industry to arrange the optimal services for customers. The selling price of the product vary with different channel, which helps to determine the demand of product for entire supply chain. Two important factors, backorder and lead-time are examined precisely through marginal value which helps to arrange optimal service and calculate the exact profit. The profit for a centralized and decentralized case are computed for both the players. Some propositions are developed to prove the global optimality. Numerical results prove that a centralized case provides 7.77% better profit than a decentralized case due to bonding between the players.
Bikash Koli Dey, Biswajit Sarkar, and Hyesung Seok
Elsevier BV
Bikash Koli Dey, Shaktipada Bhuniya, and Biswajit Sarkar
Elsevier BV
Biswajit Sarkar, Bikash Koli Dey, Mitali Sarkar, and Ali AlArjani
MDPI AG
Every industry always tries to provide the best service to its consumers. To provide better service to the consumer and optimize profit, a sustainable online-to-offline retailing strategy is proposed in this current study. Both online and offline systems are considered here, i.e., to provide the best service, the industry sells its products online and offline. Due to the consideration of online and offline systems, the selling price of the products is also different for different modes, and the demand for a particular product is the combined demand of online demand and offline demand, which depend on the selling price of the product. Moreover, the exact lead time and exact backorder are calculated to obtain the system’s exact cost or profit, which directly improves the system’s service. Different investments are incorporated to optimize the total system profit. A distribution-free approach is utilized to solve this model. Numerical examples are provided to prove the applicability of the model in reality. Sensitivity analysis is performed based on critical parameters. Special cases and graphical representations also prove the global optimality of the current study.
Richa Nandra, Kristina Rangsha Marak, Ramandeep Kaur, Bikash Koli Dey, and Arunava Majumder
Inderscience Publishers
Buddhadev Mandal, Bikash Koli Dey, Sudhansu Khanra, and Biswajit Sarkar
EDP Sciences
The concept of advanced sustainable inventory management, where demand pattern stock level and advertising dependent under trade-credit policy is taking account in this present study. Optimal credit period and cycle time are the main objective of this advanced system. A developed solution methodology is derived to show the existence of global optimality under optimum credit period and cycle time. The main concern of this advanced system is to maximize the annual total system profit of retailer with finite replenishment rate. Numerical illustration are carry forward for different cases to prove the stainability along with real impact of this model. Sensitive analysis for the key parameters is discussed in sensitivity analysis section along with some real managerial insights.
Bikash Koli Dey, Sarla Pareek, Muhammad Tayyab, and Biswajit Sarkar
Informa UK Limited
The necessity of optimum safety stock is really essential for any smart production system. For this reason, the effect of autonomation policy makes a big difference with the basic traditional automation policy. Basically, for a long-run production system, a process may transfer to an ‘out-of-control’ state from an ‘in-control’ state due to labour problems, machinery problems, or any kind of energy problems. During this ‘out-of-control’ state, machines produced imperfect items instead of perfect items. As a result, an inspection is required to identify the imperfect ones. Until now, this inspection has been utilised by human beings through the traditional automation policy and inspection errors may occur. To perform an error-free inspection, an autonomation policy is examined in this model to detect imperfect items from the production process, which makes the process smarter. The defective rate is random and follows a certain distribution. A budget and a space constraints are adopted, which makes the model non-linear with a constraint problem. Contradictory to the existing literature, the demand is price- and quality-sensitive together in a smart production system. To solve this non-linear problem with an optimised value of backorders, number of delivery lots, safety factors, and collection rate, a non-linear optimisation technique (Khun–Tucker optimisation technique) is employed. A numerical example and sensitivity analysis are provided to illustrate the model. The result finds that the optimum autonomation policy can save work-in-process inventory at the optimum value of the decision variable in the proposed model.
Biswajit Sarkar, Bikash Koli Dey, Sarla Pareek, and Mitali Sarkar
Elsevier BV
Abstract This paper investigates an impact of random defective rates in an imperfect production system with multiple products and planned backorders in a single-stage production system. The purpose of this study is to control a single-stage cleaner production system with a random defective rate for multiple products. Considering these, the model becomes a non-linear constraint problem. Based on different distribution functions of random defective rates, to eliminate the defective items from the system, five special cases for effective system management are considered. A non-linear optimization technique is utilized to solve the model and obtain the global optimum solution of cleaner production system with multiple products and a global optimum solution. Numerical examples, graphical representations, and sensitivity analysis are given to illustrate the model. Numerical studies prove that the cost related with a Chi-square distribution gives the least cost and cost related with a beta distribution gives the maximum cost, whereas the literature shows a triangular distribution gives the minimum cost.
Biswajit Sarkar, Bikash Koli Dey, Mitali Sarkar, Sun Hur, Buddhadev Mandal, and Vinti Dhaka
EDP Sciences
In this study one obtained the optimal decision of a retailer for the replenishment rate with selling-price and credit-period dependent demand to maximize the profit. A time-varying deterioration rate was considered for those products. A credit-period was offered by the retailer to the end customer to settle the whole payments. The aim of the model was to obtain the maximum profit for the retailer based model. A solution methodology with an algorithm was used to obtain the global optimum profit. An illustrative numerical example was given to test the practical applicability of the model. Numerical study indicated that the profit was at a maximum when the permissible delay-period for payment offered by the suppliers was lies between the permissible delay-time, and the cycle time, offered by the retailer.