supply chain management
Parisa Hosseini; Mehdi Seifbarghy
Abstract
One of the most critical decisions in the supply chain is pricing, playing a vital role in the profitability of the entire supply chain. In this research, a two-tier green supply chain is considered, comprising a producer and a retailer, where two types of products, standard and green, are produced. ...
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One of the most critical decisions in the supply chain is pricing, playing a vital role in the profitability of the entire supply chain. In this research, a two-tier green supply chain is considered, comprising a producer and a retailer, where two types of products, standard and green, are produced. The demand for products is determined as a certain linear function of product prices, delivery time in the online channel, the level of green quality, advertising intensity, and information tracing level. Green products are sold through the online channel, while standard products are distributed through traditional retail channels. The government provides subsidies for the production of green products and the implementation of blockchain technology. The decision-making problem is approached through two centralized and decentralized models. In the decentralized model, a Stackelberg game is employed, with the producer leading the decision-making process. In the centralized model, all supply chain members make decisions in a unified manner. The results indicate that the centralized model yields the highest profitability for the supply chain. Additionally, in the centralized model, all products are observed to have the lowest prices.
supply chain management
Mehdi Seifbarghy; Morvarid Yousefi
Abstract
The evaluation and selection of suppliers is a crucial issue in supply chain management. This problem has grown increasingly uncertain due to the influence of imprecise parameters, and various tools have been proposed for weighting criteria and evaluating supplier scores for each criterion. Neutrosophic ...
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The evaluation and selection of suppliers is a crucial issue in supply chain management. This problem has grown increasingly uncertain due to the influence of imprecise parameters, and various tools have been proposed for weighting criteria and evaluating supplier scores for each criterion. Neutrosophic numbers, a modern tool for handling uncertainty, ambiguity, and inconsistency, are introduced to tackle such challenges. As the most comprehensive form of non-classical logic after fuzzy and intuitionistic fuzzy logic, Neutrosophic logic assigns degrees of membership, non-membership, and hesitation independently between zero and one. In this research, the quality function deployment (QFD) technique is developed in a Neutrosophic environment to identify and weigh supplier evaluation criteria. Additionally, the Neutrosophic EDAS approach is proposed for selecting top suppliers. A numerical study of the pharmaceutical industry demonstrates that geographical location and supplier experience are the two most critical criteria, and the second supplier is chosen as the best.
supply chain management
Mehdi Seifbarghy; Nastaran Bakhshizadeh
Abstract
Closed loop supply chain network design is of great important due to the legal requirements and economic benefits. Raw material suppliers are of the most important players of this supply chain. Most of the previous researchers studied the design problem separated from the supplier assessment. Some other ...
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Closed loop supply chain network design is of great important due to the legal requirements and economic benefits. Raw material suppliers are of the most important players of this supply chain. Most of the previous researchers studied the design problem separated from the supplier assessment. Some other criteria except for price, like the production process, the features of parts and reliability of supply have long term effects on the performance of supply chains. In this research a general closed loop supply chain network including production centres, disassembly, refurbishing, and disposal sites is considered. An integrated two-phase model is given so that in the first phase, the proposed fuzzy-MOORA-reference point method is applied to suppliers’ assessment and the results from this phase is used in the second phase. In the second phase, a three-objective mixed integer linear programming model is proposed in order to determine the eligible suppliers, the locations of refurbishing sites and the material flows between the supply chain members. The objective functions are maximizing profit, suppliers’ evaluation and resiliency scores. Unsatisfied demand of customers is lost. The numerical results show the validity of the model and the role of stockout option in reaching better solutions based on the LP-Metric method.
Mehdi Seifbarghy; Maryam Mohajeri
Abstract
This paper investigates a joint economic lot sizing model for a two echelon supply chain consisting of a single-vendor and multiple buyers. Recent studies have focused on the problem with equal batch sizes while this study proposed a mixed integer nonlinear programming model considering unequal batch ...
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This paper investigates a joint economic lot sizing model for a two echelon supply chain consisting of a single-vendor and multiple buyers. Recent studies have focused on the problem with equal batch sizes while this study proposed a mixed integer nonlinear programming model considering unequal batch sizes and shortage to minimize supply chain total cost. A heuristic procedure is proposed to find the solution and finally we show that unequal batch sizes delivers a more cost efficient solution.
