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Dr. Biswajit Sarkar is currently an Associate Professor in the Department of Industrial Engineering, Yonsei University, South Korea. He has received his Ph.D. from Jadavpur University, India in 2010 and Post-Doctorate from the Pusan National University, South Korea (2012–2013). He has dedicated his teaching and research abilities to various universities in India and South Korea. Under his supervision, seventeen students have been awarded their PhDs. He published 216 journal articles and received several awards. Prof. Sarkar is the best active author in the topic cluster of Supply Chain Management and Industry as on SciVal during 2017~2021.
Increasing energy demand and the rising levels of greenhouse gas emissions have increased the necessity of bioenergy and sustainable energy generation. The sustainable bioenergy supply chain is the key to produce sustainable biofuel. This paper points to render an optimization model for planning a versatile and dependable biomass-to-bioenergy sustainable supply chain network in which crop residuals from several agricultural sectors, multi-transportation disruption modes, multi-biorefineries, multi-biogas plants, and multi-market centers are investigated for two bioenergy sources, namely biofuel and biogas. For this reason, supply chain cost optimization, emissions of feedstock transport, processing, and distributing end biofuel to respective markets are utilized. The multi-setup-multi-delivery (MSMD) concept is incorporated and lead time crashing cost is applied to minimize the lead time in this model. The carbon emission costs at all steps and the variable production rate for the production of bioenergy are included within the model. Finally, one small-scale data and another large-scale data of six agricultural areas, four biorefineries, four biogas plants, and six markets are considered to validate the model's usefulness. The model's goal is to show bioenergy's effect to make a sustainable supply chain of biofuel and biogas. The numerical results reveal that the cost of bioenergy production contributed 54.12%, a major extent of the whole cost in biorefinery and biogas plants. The transportation segment is the preeminent initiator of carbon emissions with 83.33% in the entire carbon emission within the whole supply chain. Although, transportation cost contributed 33.09% of the total cost, the multi setup-delivery-multi-delivery policy minimized the whole supply chain cost. The results provide a systematic guideline for developing a sustainable biofuel supply-chain by minimizing cost, various aspects of transportation logistics, and multi-model alternatives under reduced energy effects.
Biswajit Sarkar; Bablu Mridha; Sarla Pareek; Mitali Sarkar; Lakshmi Thangavelu. A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. Journal of Cleaner Production 2021, 317, 128079 .
AMA StyleBiswajit Sarkar, Bablu Mridha, Sarla Pareek, Mitali Sarkar, Lakshmi Thangavelu. A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. Journal of Cleaner Production. 2021; 317 ():128079.
Chicago/Turabian StyleBiswajit Sarkar; Bablu Mridha; Sarla Pareek; Mitali Sarkar; Lakshmi Thangavelu. 2021. "A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network." Journal of Cleaner Production 317, no. : 128079.
Flow Shop Scheduling Problem (FSSP) has significant application in the industry, and therefore it has been extensively addressed in the literature using different optimization techniques. Current research investigates Permutation Flow Shop Scheduling Problem (PFSSP) to minimize makespan using the Hybrid Evolution Strategy (HES SA ). Initially, a global search of the solution space is performed using an Improved Evolution Strategy (I.E.S.), then the solution is improved by utilizing local search abilities of Simulated Annealing (S.A.). I.E.S. thoroughly exploits the solution space using the reproduction operator, in which four offsprings are generated from one parent. A double swap mutation is used to guide the search to more promising areas in less computational time. The mutation rate is also varied for the fine-tuning of results. The best solution of the I.E.S. acts as a seed for S.A., which further improved the results by exploring better neighborhood solutions. In S.A., insertion mutation is used, and the cooling parameter and acceptance-rejection criteria induce randomness in the algorithm. The proposed HES SA algorithm is tested on well-known NP-hard benchmark problems of Taillard (120 instances), and the performance of the proposed algorithm is compared with the famous techniques available in the literature. Experimental results indicate that the proposed HES SA algorithm finds fifty-four upper bounds for Taillard instances, while thirty-eight results are further improved for the Taillard instances.
Bilal Khurshid; Shahid Maqsood; Muhammad Omair; Biswajit Sarkar; Imran Ahmad; Khan Muhammad. An Improved Evolution Strategy Hybridization with Simulated Annealing for Permutation Flow Shop Scheduling Problems. IEEE Access 2021, 9, 1 -1.
AMA StyleBilal Khurshid, Shahid Maqsood, Muhammad Omair, Biswajit Sarkar, Imran Ahmad, Khan Muhammad. An Improved Evolution Strategy Hybridization with Simulated Annealing for Permutation Flow Shop Scheduling Problems. IEEE Access. 2021; 9 ():1-1.
Chicago/Turabian StyleBilal Khurshid; Shahid Maqsood; Muhammad Omair; Biswajit Sarkar; Imran Ahmad; Khan Muhammad. 2021. "An Improved Evolution Strategy Hybridization with Simulated Annealing for Permutation Flow Shop Scheduling Problems." IEEE Access 9, no. : 1-1.
The concept of controllable lead time and variance is critical issues for the smart supply chain management. This study concerns about variable lead time and variance under controllable production rate and advertise-dependent demand. Managers of any supply chain always improve their performance by reducing lead time and its variance. This paper explores and quantifies these benefits of such lead time reduction for commonly used lot size quantity, production rate, safety factor, reorder point, advertisement cost, vendor’s setup cost. Instead of expected total cost equations, this study provides an exact total cost equation built on an inherent relationship between on-hand inventory and backorder. The marginal value analysis on lead time and its variance achieve more accurate results. The analytical results show that the total supply chain cost is a convex function of both lead time and variance. In other words, the cost savings on both lead time and its variance reduction decrease when lead time becomes larger. Two continuous investments are implied to reduce setup costs and improve the reliability of the production process. The expected backorder and inventory for the buyer uniformly distributed throughout reorder point. Moreover, a smart production process is developed under stochastic demand and flexible production rates. The global optimality of the cost function and decision variables are validated through classical optimization. The numerical examples confirm analytical results and sensitivity analysis is provided for different parameters. Some special cases along with graphical representations are given to validate the model.
Bikash Koli Dey; Shaktipada Bhuniya; Biswajit Sarkar. Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management. Expert Systems with Applications 2021, 184, 115464 .
AMA StyleBikash Koli Dey, Shaktipada Bhuniya, Biswajit Sarkar. Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management. Expert Systems with Applications. 2021; 184 ():115464.
Chicago/Turabian StyleBikash Koli Dey; Shaktipada Bhuniya; Biswajit Sarkar. 2021. "Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management." Expert Systems with Applications 184, no. : 115464.
In the current socio-economic situation, the daily demand for essential goods in the business sector is always changing owing to various unavoidable reasons. As a result, choosing the right method for profitable business has become quite tricky. This study introduces different business strategies based on constant and fuzzy demands. There are two types of constraints considered in this model to avoid the backorder cost. However, combining the service-level constraints with the constant and fuzzy demand, this study compares the total costs, and finally, the best strategy is established. Moreover, investing a small amount, this model improves the quality of the products and reduces the vendor’s setup cost. Depending on the number of transported products, this model follows the transportation discount policy for hassle-free delivery of the products with a minimum delivery rate. The Kuhn-Tucker optimization technique is employed, and global optimality is verified numerically, analytically using the Hessian matrix. This model’s robustness is discussed through a comparative study, numerical examples, sensitivity analysis, graphical representation, and managerial insights. Finally, some concluding remarks along with future extensions are discussed.
Shaktipada Bhuniya; Sarla Pareek; Biswajit Sarkar. A supply chain model with service level constraints and strategies under uncertainty. Alexandria Engineering Journal 2021, 60, 6035 -6052.
AMA StyleShaktipada Bhuniya, Sarla Pareek, Biswajit Sarkar. A supply chain model with service level constraints and strategies under uncertainty. Alexandria Engineering Journal. 2021; 60 (6):6035-6052.
Chicago/Turabian StyleShaktipada Bhuniya; Sarla Pareek; Biswajit Sarkar. 2021. "A supply chain model with service level constraints and strategies under uncertainty." Alexandria Engineering Journal 60, no. 6: 6035-6052.
The current state of sustainability is promoting the status of the supply chain from traditional economic objectives related to the cost, quality, and time to the multidimensional opportunities in terms of economic, social and environmental fronts. The paper deals with the development of a decision support framework for the prioritization of suppliers on sustainability factors. The framework is based on the combined approach of the analytical hierarchical process (AHP) and the fuzzy inference system (FIS) to evaluate the supplier for the benefit of the manufacturer. The role of AHP is to select the significant factors as criteria, while the FIS mechanism works to measure the sustainability index of each supplier for prioritization from the combined effect of the selected factors. In the ranking process, experts’ opinions on the importance of deciding the criteria (developed by the AHP) are considered in linguistic terms. To handle the subjectivity of decision makers assessments, fuzzy logic has been applied using FIS. In addition, uncertainties in the decision making support system are overcome by considering the fuzzy set theory for the selected sustainable factors. A numerical experiment is carried out to consider seven suppliers working with the goalkeeping gloves manufacturing firm for the pragmatic application of the proposed framework. The methodology of the integrated AHP–FIS approach is utilized to rank the suppliers by calculating the sustainability index value. The proposed approach provides a platform for the manufacturer to better understand the capability, sustainable suppliers must possess to continue working with them for the sustainable supply chain management.
Muhammad Omair; Sahar Noor; Muhammad Tayyab; Shahid Maqsood; Waqas Ahmed; Biswajit Sarkar; Muhammad Salman Habib. The Selection of the Sustainable Suppliers by the Development of a Decision Support Framework Based on Analytical Hierarchical Process and Fuzzy Inference System. International Journal of Fuzzy Systems 2021, 1 -18.
AMA StyleMuhammad Omair, Sahar Noor, Muhammad Tayyab, Shahid Maqsood, Waqas Ahmed, Biswajit Sarkar, Muhammad Salman Habib. The Selection of the Sustainable Suppliers by the Development of a Decision Support Framework Based on Analytical Hierarchical Process and Fuzzy Inference System. International Journal of Fuzzy Systems. 2021; ():1-18.
Chicago/Turabian StyleMuhammad Omair; Sahar Noor; Muhammad Tayyab; Shahid Maqsood; Waqas Ahmed; Biswajit Sarkar; Muhammad Salman Habib. 2021. "The Selection of the Sustainable Suppliers by the Development of a Decision Support Framework Based on Analytical Hierarchical Process and Fuzzy Inference System." International Journal of Fuzzy Systems , no. : 1-18.
In particular business transactions, the supplier usually provides an admissible delay in settlement to its vendor to encourage further sales. Additionally, the demand for the commodity is inversely proportional to the function of the sales price, which is non-linear and, in some situations, a holding cost rises over time. Moreover, many goods often deteriorate consistently and shall not be sold after their expiration dates. This study analyses a model for perishable products with a maximum life span with price-dependent demand and trade credit by assimilating these variations and under the supposition of time-varying holding cost. Furthermore, to diminish the rate of deterioration, investment for preservation technology is often taken into account beforehand. Based on real-life circumstances, shortages are admitted and backlogged partially, with an exponential rise in wait time before the new good emerges. The key ambition is to calculate the optimum investment under preservation, sales price, and cycle time using the classical optimization algorithm to maximize the vendor’s net profit. Additionally, to clarify the outcomes, the numerical illustrations are addressed, and the sensitivity analysis of significant parameters is eventually implemented.
Mrudul Jani; Manish Betheja; Urmila Chaudhari; Biswajit Sarkar. Optimal Investment in Preservation Technology for Variable Demand under Trade-Credit and Shortages. Mathematics 2021, 9, 1301 .
AMA StyleMrudul Jani, Manish Betheja, Urmila Chaudhari, Biswajit Sarkar. Optimal Investment in Preservation Technology for Variable Demand under Trade-Credit and Shortages. Mathematics. 2021; 9 (11):1301.
Chicago/Turabian StyleMrudul Jani; Manish Betheja; Urmila Chaudhari; Biswajit Sarkar. 2021. "Optimal Investment in Preservation Technology for Variable Demand under Trade-Credit and Shortages." Mathematics 9, no. 11: 1301.
Achieving sustainable development goals agenda 2030 is the aspiration of all the United Nation’s member countries. Countries have an uneven distribution of natural resources, economic strength, and capacity building. Many studies analyze these goals using various models and considering different aspects of the kingdom of Saudi Arabia's (KSA) economy. However, none of the studies modelled the key indicators mathematically to quantify the achievement level towards vision 2030; hence aims to bridge the existing literature gap In this paper, the sustainable development goals (SDGs) of KSA are considered, a mathematical model is formulated in light of fuzzy and weighted goal programming using membership function. The model comprises three goals related to the gross domestic product, sustainable energy consumption and employment capacity of the economy's contributing sectors. The analytic hierarchy process integrated to compute the goals’ weights using row geometric mean method. The study established the goals's satisfaction level with 57% overall achievement of the vision 2030. Individually, economic growth goal is 45% achievable. The clean energy consumption-related goal is 67% realizable. The employment-related goal is 78% attainable within the time frame of the vision 2030. The study suggests that KSA diversify its energy sector by concentrating and investing more resources in alternative energy sources, including renewable energy such as solar, wind, biomass, and nuclear energy. Also, there is a need to involve more vibrant and talented youths in the critical decision-making process. The model is simple and can be replicable in a similar country with slight modifications.
Ali AlArjani; Umar Muhammad Modibbo; Irfan Ali; Biswajit Sarkar. A new framework for the sustainable development goals of Saudi Arabia. Journal of King Saud University - Science 2021, 33, 101477 .
AMA StyleAli AlArjani, Umar Muhammad Modibbo, Irfan Ali, Biswajit Sarkar. A new framework for the sustainable development goals of Saudi Arabia. Journal of King Saud University - Science. 2021; 33 (6):101477.
Chicago/Turabian StyleAli AlArjani; Umar Muhammad Modibbo; Irfan Ali; Biswajit Sarkar. 2021. "A new framework for the sustainable development goals of Saudi Arabia." Journal of King Saud University - Science 33, no. 6: 101477.
Determining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.
Srikant Gupta; Ahteshamul Haq; Irfan Ali; Biswajit Sarkar. Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment. Complex & Intelligent Systems 2021, 1 -21.
AMA StyleSrikant Gupta, Ahteshamul Haq, Irfan Ali, Biswajit Sarkar. Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment. Complex & Intelligent Systems. 2021; ():1-21.
Chicago/Turabian StyleSrikant Gupta; Ahteshamul Haq; Irfan Ali; Biswajit Sarkar. 2021. "Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment." Complex & Intelligent Systems , no. : 1-21.
Incorporating qualities and environmental concerns have received significant attention in the literature on production and inventory management for deteriorating items; however, scarce papers have emphasized these two concurrently. Therefore, it is required to incorporate these two aspects for deteriorating items to fill this gap in the literature and provide a better insight into practice. This paper elaborates a sustainable production inventory model for poor quality deteriorating items which (a) items deteriorate at a constant rate and the deterioration progress can be controlled by investing in preservation technology; (b) carbon is emitted due to production operations, and it can be controlled by investing in carbon reduction technology; (c) a fraction of manufacture items are imperfect, and the quality can be enhanced by investing in quality improvement. The paper aims to discuss the impact of preservation and carbon reduction technologies on the total profit to help decision-makers make more efficient replenishment and pricing decisions. An algorithm is proposed to determine optimal values for five decision variables. A numerical experiment is illustrated to validate the mathematical formulation, and the impact of parameters on total profit and managerial insights are discussed using sensitivity analysis.
Arash Sepehri; Umakanta Mishra; Biswajit Sarkar. A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment. Journal of Cleaner Production 2021, 310, 127332 .
AMA StyleArash Sepehri, Umakanta Mishra, Biswajit Sarkar. A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment. Journal of Cleaner Production. 2021; 310 ():127332.
Chicago/Turabian StyleArash Sepehri; Umakanta Mishra; Biswajit Sarkar. 2021. "A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment." Journal of Cleaner Production 310, no. : 127332.
Sustainable inventory management is a common issue for any industry. This proposed study explains a representation of mathematical modelling for maintaining sustainability through the preservation technology for deteriorating products and trade-credit strategy for sustainable marketing. Based on the actual life circumstances, it is found that the demand for deteriorated products is influenced by the increasing frequency of advertising and preservation technology. The foremost aim of this study is to maintain sustainability with optimal pricing and optimal strategies to invest in preservation technology and optimal cycle length to take full advantage of the total profit. For solving the model, a classical optimization technique is utilized, and some theoretical results are shown with a graph of the profit function. Couples of experiments compare the proposed results and the existing literature and give some outcomes for different deterioration types. To illustrate and justify the model, a sensitivity analysis conceded for demonstrating the proposed model’s flexibility by changing one parameter while keeping others fixed. The result shows that the trade-credit strategy under the preservation technology makes the management’s most substantial marketing benefit.
Abu Hashan Md Mashud; Biswajit Sarkar. Retailer’s joint pricing model through an effective preservation strategy under a trade-credit policy. RAIRO - Operations Research 2021, 55, 1799 -1823.
AMA StyleAbu Hashan Md Mashud, Biswajit Sarkar. Retailer’s joint pricing model through an effective preservation strategy under a trade-credit policy. RAIRO - Operations Research. 2021; 55 (3):1799-1823.
Chicago/Turabian StyleAbu Hashan Md Mashud; Biswajit Sarkar. 2021. "Retailer’s joint pricing model through an effective preservation strategy under a trade-credit policy." RAIRO - Operations Research 55, no. 3: 1799-1823.
Intense harvesting and emerging infectious diseases are potential threats to global fishery. A proper management policy equipped with the scientific understanding of species interaction is a footstep in a long-term sustainable fishery. This work performs a qualitative study of bioeconomic management of a fishery in presence of some infection. The model narrates the rate equations of the healthy fish, infected fish, fishing effort and market price, where the fishing effort is considered to be dependent on the fish price and the fish price is regulated by the demand-supply theory of the open market. Routh–Hurwitz criterion is utilized for the local stability analysis whereas the high-dimensional Bendixson criterion is used for the global stability analysis. The one and two parameters bifurcation analysis explain various switching in equilibrium states, which includes infection-free, infected and harvesting-free states. The existence conditions of the bionomic equilibrium, where both the ecological and economic equilibrium exists, has been established. The harvested fish biomass is observed to be higher at the infection-free equilibrium state compare to the infected equilibrium state under increasing infection rate, however, the outcome is opposite under increasing environmental carrying capacity. Though, the total revenue is highest at the infection-free state when demand is high. An unintuitive result is that the infection persists at a higher level if demand decreases.
Nandadulal Bairagi; Santanu Bhattacharya; Pierre Auger; Biswajit Sarkar. Bioeconomics fishery model in presence of infection: Sustainability and demand-price perspectives. Applied Mathematics and Computation 2021, 405, 126225 .
AMA StyleNandadulal Bairagi, Santanu Bhattacharya, Pierre Auger, Biswajit Sarkar. Bioeconomics fishery model in presence of infection: Sustainability and demand-price perspectives. Applied Mathematics and Computation. 2021; 405 ():126225.
Chicago/Turabian StyleNandadulal Bairagi; Santanu Bhattacharya; Pierre Auger; Biswajit Sarkar. 2021. "Bioeconomics fishery model in presence of infection: Sustainability and demand-price perspectives." Applied Mathematics and Computation 405, no. : 126225.
With the increase in the varieties products and the increasing uncertainty about product demand, the production preparation time is a significant factor in addressing these issues. The trade-off between the reduction of the production preparation time and the associated cost remains a critical decision. With this backdrop, this study presents a continuous review production-inventory model with a variable production preparation time and a time-dependent setup cost. The demand during the preparation time is captured through a min-max distribution-free approach. In a stochastic framework, the order quantity, reorder point, and setup time are optimized by minimizing the expected cost considering the time-value effect. Further, a fuzzy model is formulated to tackle the imprecise nature of the production setup time and demand. Two algorithms are developed using an analytical approach to obtain the optimal solution. A numerical illustration is given to present the key insights of the model for effective inventory management. It is observed that order quantity and total cost are more sensitive at the lower side of the optimal setup time rather than at the higher side. The discount rate is also found to be a sensitive factor while minimizing the total expected cost.
Amalendu Mahapatra; Hardik N Soni; Maheswar Mahapatra; Biswajit Sarkar; Sanat Majumder. A Continuous Review Production-Inventory System with a Variable Preparation Time in a Fuzzy Random Environment. Mathematics 2021, 9, 747 .
AMA StyleAmalendu Mahapatra, Hardik N Soni, Maheswar Mahapatra, Biswajit Sarkar, Sanat Majumder. A Continuous Review Production-Inventory System with a Variable Preparation Time in a Fuzzy Random Environment. Mathematics. 2021; 9 (7):747.
Chicago/Turabian StyleAmalendu Mahapatra; Hardik N Soni; Maheswar Mahapatra; Biswajit Sarkar; Sanat Majumder. 2021. "A Continuous Review Production-Inventory System with a Variable Preparation Time in a Fuzzy Random Environment." Mathematics 9, no. 7: 747.
Being complex and combinatorial optimization problems, Permutation Flow Shop Scheduling Problems (PFSSP) are difficult to be solved optimally. PFSSP occurs in many manufacturing systems i.e. automobile industry, glass industry, paper industry, appliances industry, and pharmaceutical industry, and the generation of the best schedule is very important for these manufacturing systems. Evolution Strategy (ES) is a subclass of Evolutionary algorithms and in this paper, we propose an Improved Evolution Strategy to reduce the makespan of PFSSP. Two variants of the Improved Evolution Strategy are proposed namely ES5 and ES10. The initial solution is generated using the shortest processing time rule. In ES5, four offsprings are generated from one parent while in ES10, nine offsprings are generated from one parent. The selection pool consists of both the parents and offsprings. Quad swap mutation operator has been proposed to minimize computational time and for the maximum search of solution space. Also, a variable mutation rate is used for the fine-tuning of results, with the increasing number of iterations the mutation rate is reduced. The performances of both ES variants were tested on two test domains. First, it is applied to benchmark the PFSSP of Carlier and Reeves. Computational results are matched with other well-known techniques available in the literature, and the results show the effectiveness and robustness of the proposed techniques. Secondly, ES is applied to the real-life problem for the manufacturing of batteries to demonstrate its effectiveness. Data was taken from Pakistan Accumulator for NS30-40 Plates battery, the company is daily producing 1400 units of NS30-40 Plates battery. ES is applied to different batch sizes i.e. 35, 140, 1120 & 1400. Our results show that a Min %GAP of 1.25 is found using ES10. Hence the company can increase monthly 450 units of NS30 batteries using the ES10 algorithm.
Bilal Khurshid; Shahid Maqsood; Muhammad Omair; Biswajit Sarkar; Muhammad Saad; Uzair Asad. Fast Evolutionary Algorithm for Flow Shop Scheduling Problems. IEEE Access 2021, 9, 44825 -44839.
AMA StyleBilal Khurshid, Shahid Maqsood, Muhammad Omair, Biswajit Sarkar, Muhammad Saad, Uzair Asad. Fast Evolutionary Algorithm for Flow Shop Scheduling Problems. IEEE Access. 2021; 9 ():44825-44839.
Chicago/Turabian StyleBilal Khurshid; Shahid Maqsood; Muhammad Omair; Biswajit Sarkar; Muhammad Saad; Uzair Asad. 2021. "Fast Evolutionary Algorithm for Flow Shop Scheduling Problems." IEEE Access 9, no. : 44825-44839.
This study is the first to consider a distribution-free approach in a newsvendor model with a transfer of risk and back-ordering. Previously, in many articles, discrete demand is considered. In this model, we consider a newsvendor selling a single seasonal item with price-dependent stochastic demand. Competition in markets has forced the retailer and manufacturer to coordinate in decentralized supply chain management. A coordination contract is made between a retailer and manufacturer to overcome the randomness of demand for a short-life-cycle product. The retailer pays an additional amount per product to transfer the risk of unsold items. The manufacturer bears the cost of unsold products from the retailer. Shortages are allowed with back-ordering costs during the season. The distribution-free model is developed and solved with only available demand data of mean and standard deviation. Stackelberg’s game approach is used to calculate the optimal ordering quality and price. This model aims to maximize expected profit by optimizing unit selling price and ordered quantity through coordination. To illustrate that the model is robust, numerical experiment and sensitivity analyses are conducted for both decentralized and centralized supply chain management. For applicability of the model in the real-world business scenario, managerial insights are provided with sensitivity analysis.
Irfanullah Khan; Biswajit Sarkar. Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages. Mathematics 2021, 9, 638 .
AMA StyleIrfanullah Khan, Biswajit Sarkar. Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages. Mathematics. 2021; 9 (6):638.
Chicago/Turabian StyleIrfanullah Khan; Biswajit Sarkar. 2021. "Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages." Mathematics 9, no. 6: 638.
Supply chain management aims to integrate environmental thinking with efficient energy consumption into supply chain management. It includes a flexible manufacturing process, more product delivery to customers, optimum energy consumption, and reduced waste. The manufacturing process can be made more flexible through volume agility. In this scenario, production cannot be constant, and with the concept of volume agility, production is taken as a decision variable under the effect of optimum energy consumption. Considering a two-echelon supply chain, we consider a producer and supplier with two-level-trade-credit policies (TLTCP) with the optimum consumption. To reduce the integrated total inventory cost, we believe that demand is a function of the credit period and selling price. The cost function is analyzed, either with the credit period dependent demand rate or with the selling price dependent demand rate through the numerical examples under energy costs. Energy and carbon emission costs are introduced in setup/ordering cost, holding cost, and item cost for producer and supplier. The effect of inflation on the total cost cannot be ignored; this model is being developed for deteriorating items with the simultaneous impact of volume agility, energy, carbon emission cost, and two-level-trade-credit policies with inflation. This supply chain model was solved analytically and obtained the optimum decision variables in a quasi-closed form solution. An illustrative theorem is being utilized to analyze the optimum result for all the decision parameters. The convexity of the objective function is being obtained analytically as well as graphically. Finally, numerical examples and sensitivity analysis are employed to illustrate the present study and with managerial insights.
Vandana; S. Singh; Dharmendra Yadav; Biswajit Sarkar; Mitali Sarkar. Impact of Energy and Carbon Emission of a Supply Chain Management with Two-Level Trade-Credit Policy. Energies 2021, 14, 1569 .
AMA StyleVandana, S. Singh, Dharmendra Yadav, Biswajit Sarkar, Mitali Sarkar. Impact of Energy and Carbon Emission of a Supply Chain Management with Two-Level Trade-Credit Policy. Energies. 2021; 14 (6):1569.
Chicago/Turabian StyleVandana; S. Singh; Dharmendra Yadav; Biswajit Sarkar; Mitali Sarkar. 2021. "Impact of Energy and Carbon Emission of a Supply Chain Management with Two-Level Trade-Credit Policy." Energies 14, no. 6: 1569.
Carbon emission plays a vital role in global warming. In addition to this, wastages due to the deterioration have a hazardous impact on the ecosystem. The responsible managers’ primary concern is to form a sustainable supply chain. Further, supply chain managers select some appropriate combinations when dealing with items that possess cross-price elasticity of demand to make a profitable system. The present model aims to make a sustainable supply chain to reduce waste by obtaining the optimal values of production rate, batch size, several shipments, and preservation investment such that the total profit of the system is maximum. In the present study, a supply chain model with two manufacturers and one common retailer is developed. The proposed supply chain deals with products having negative or positive cross-price elasticity of demand. The carbon emission is also considered, which is associated with different operational activities of inventory such as preparation of setup of manufacturers, transportation of products, waste management, and holding stock at manufacturers and the retailer’s end. The objective function in the present study is a mixed-integer nonlinear optimization problem. A solution methodology based on differential calculus is adopted. The result shows that products of low negative or high positive cross-price elasticity are a profitable combination. Additionally, a 20% reduction in wastage quantity is observed due to the investment in preservation technology. This result indicates that preservation technology positively impacts the environment and the finance associated with the inventory system. The proposed integrated system’s sustainability is illustrated with numerical examples, sensitivity analysis, and pictorial representation. In addition to this, several valuable managerial insights based on the study are provided.
Dharmendra Yadav; Rachna Kumari; Narendra Kumar; Biswajit Sarkar. Reduction of waste and carbon emission through the selection of items with cross-price elasticity of demand to form a sustainable supply chain with preservation technology. Journal of Cleaner Production 2021, 297, 126298 .
AMA StyleDharmendra Yadav, Rachna Kumari, Narendra Kumar, Biswajit Sarkar. Reduction of waste and carbon emission through the selection of items with cross-price elasticity of demand to form a sustainable supply chain with preservation technology. Journal of Cleaner Production. 2021; 297 ():126298.
Chicago/Turabian StyleDharmendra Yadav; Rachna Kumari; Narendra Kumar; Biswajit Sarkar. 2021. "Reduction of waste and carbon emission through the selection of items with cross-price elasticity of demand to form a sustainable supply chain with preservation technology." Journal of Cleaner Production 297, no. : 126298.
This study introduces an inventory system with a non-instantaneous deteriorating product with credit facility and variable demand depending on the selling price. Two different selling prices are considered in the deterioration and non-deterioration periods. Shortages are partially backlogged and dependent on the length of the customers’ waiting time upto the arrival of fresh lot. Alternative trade-credit policy is applied herein, and several cases, sub-cases and situations are investigated. The corresponding optimization problems of different cases, sub-cases and situations are solved using an interval-oriented multi-section technique with the help of interval mathematics and interval order relations. A numerical example with three different credit periods is studied and solved to validate the said problem. Also, two different case studies are investigated. Then to investigate the effect of changes of several system parameters on the optimal policy, post optimality analyses are performed.
Ali Akbar Shaikh; Subhash Chandra Das; Asoke Kumar Bhunia; Biswajit Sarkar. Decision support system for customers during availability of trade credit financing with different pricing situations. RAIRO - Operations Research 2021, 55, 1043 -1061.
AMA StyleAli Akbar Shaikh, Subhash Chandra Das, Asoke Kumar Bhunia, Biswajit Sarkar. Decision support system for customers during availability of trade credit financing with different pricing situations. RAIRO - Operations Research. 2021; 55 (2):1043-1061.
Chicago/Turabian StyleAli Akbar Shaikh; Subhash Chandra Das; Asoke Kumar Bhunia; Biswajit Sarkar. 2021. "Decision support system for customers during availability of trade credit financing with different pricing situations." RAIRO - Operations Research 55, no. 2: 1043-1061.
Reducing carbon emissions plays a significant role in developing sustainable inventory systems. In a seller-buyer relationship, an allowable delay in payment is considered for the buyer to manage the stock and simulate the demand. Deteriorating items that usually have specific maximum lifetimes have become a challenge for most firms. Contrary to the importance of these issues, very little research has studied the impact of carbon emissions on deteriorating inventory systems. This paper provides a price-dependent demand for perishable items when carbon cap-and-trade regulation fills the mentioned gap. This model provides a carbon reduction investment scheme and illustrates this investment’s effect on the inventory system. This paper determines the optimal replenishment cycle and selling price, in which: (a) perishable items have specific maximum lifetimes, (b) a specific period of delay in payment is allowed for the buyer to accumulate revenue, (c) carbon is emitted due to ordering and storage operations and carbon cap and trade is regulated along with allowable carbon reduction investment. After developing the model, optimal values are obtained from necessary and sufficient conditions of optimality. Numerical experiments are proposed to validate the model. By developing an algorithm, the optimal values of replenishment cycle, selling price, and carbon reduction technology investment are obtained, and the impact of carbon emissions and efforts to control emissions are outlined. Finally, some managerial applications are mentioned, and future research directions are exposed.
Arash Sepehri; Umakanta Mishra; Ming-Lang Tseng; Biswajit Sarkar. Joint Pricing and Inventory Model for Deteriorating Items with Maximum Lifetime and Controllable Carbon Emissions under Permissible Delay in Payments. Mathematics 2021, 9, 470 .
AMA StyleArash Sepehri, Umakanta Mishra, Ming-Lang Tseng, Biswajit Sarkar. Joint Pricing and Inventory Model for Deteriorating Items with Maximum Lifetime and Controllable Carbon Emissions under Permissible Delay in Payments. Mathematics. 2021; 9 (5):470.
Chicago/Turabian StyleArash Sepehri; Umakanta Mishra; Ming-Lang Tseng; Biswajit Sarkar. 2021. "Joint Pricing and Inventory Model for Deteriorating Items with Maximum Lifetime and Controllable Carbon Emissions under Permissible Delay in Payments." Mathematics 9, no. 5: 470.
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.
Biswajit Sarkar; Bikash Dey; Mitali Sarkar; Ali AlArjani. A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand. Sustainability 2021, 13, 1756 .
AMA StyleBiswajit Sarkar, Bikash Dey, Mitali Sarkar, Ali AlArjani. A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand. Sustainability. 2021; 13 (4):1756.
Chicago/Turabian StyleBiswajit Sarkar; Bikash Dey; Mitali Sarkar; Ali AlArjani. 2021. "A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand." Sustainability 13, no. 4: 1756.
Textile dyestuff supplier evaluation and quantity allocation is a multi-period multi-objective optimization problem of a business triad comprising of cost, quality, and time. To date, no such sufficing textile supply chain management model is reported that optimizes all three components of the business triad along with customer complaints and external quality audit. This research work initiates an advanced integrated multi-dimensional evaluation approach to support small and medium-sized textile industries in effective supplier selection and quantity allocation. Many small and medium-sized enterprises in the textile sector have little or no facilities to evaluate the quality of incoming dyes in their premises. An intervention of government laboratories is recommended in this study, which play a compelling role to regulate and help evaluate the dyestuff suppliers according to the acceptable quality limit. A multi-period multi-objective textile supply chain management (MPMOTSCM) model is developed for simultaneous achievement of supplier evaluation and order allocation. Based on the recommended business triad and expert committee input, an interactive weighted fuzzy goal programming model is developed. A numerical assessment using metaheuristic approach is carried out to elaborate the practical applicability of the model. The experimental outcomes show that the proposed model has achieved 45.77% satisfaction level for the cost, 80.73% for the quality, and 95.04% for the time. Analysis of the model indicates that this model provides a robust decision support system to the managers for dyestuff supplier evaluation, selection, and quantity allocation.
Muhammad Tayyab; Biswajit Sarkar. An interactive fuzzy programming approach for a sustainable supplier selection under textile supply chain management. Computers & Industrial Engineering 2021, 155, 107164 .
AMA StyleMuhammad Tayyab, Biswajit Sarkar. An interactive fuzzy programming approach for a sustainable supplier selection under textile supply chain management. Computers & Industrial Engineering. 2021; 155 ():107164.
Chicago/Turabian StyleMuhammad Tayyab; Biswajit Sarkar. 2021. "An interactive fuzzy programming approach for a sustainable supplier selection under textile supply chain management." Computers & Industrial Engineering 155, no. : 107164.