Game Theory
Hamed Jafari
Abstract
Purpose: In this research, a recyclable waste is used to manufacture a specific product. For this reason, a supply chain is considered containing manufacturer, recycler, and waste warehouse. First, the customers’ demand for the considered product is determined based on its price. Then, the manufacturer ...
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Purpose: In this research, a recyclable waste is used to manufacture a specific product. For this reason, a supply chain is considered containing manufacturer, recycler, and waste warehouse. First, the customers’ demand for the considered product is determined based on its price. Then, the manufacturer produces it from a waste with specific recyclability rate. The waste warehouse collects the waste and the recycler recycles it. The manufacturer meets his requirements through two different channels. He can procure the non-recycled waste from the waste warehouse and then recycles it himself, or can buy the recycled waste from the recycler. The manufacturer selects these channels based on the established situations.Methodology: The game theory is applied to make the decisions under two considered channels. In this setting, a Stackelberg game is developed based on the competitive situation established among the members, where the manufacturer has higher decision power than the waste warehouse and recycler.Findings: Eventually, the given strategies are discussed and the obtained results are presented. Results indicate that the manufacturer selects each channel as a threshold is met. Moreover, more recyclability rate of the considered waste leads to higher profits for the members.Originality/Value: In this research, to provide the waste materials required for producing a product, the game-theoretic approach as well as the concept of the channel-selection are used. It can be stated that this issue has been proposed for the first time in the literature.
Optimization in science and engineering
Elham Nejati; Mahdi Yousefi Nejad Attari; Asgar Hajibadali
Abstract
Purpose: One of the most vital subcategories of the health care system is organ transplantation, and since organ transplant centers deal directly with surgical operations and, as a result, human lives, the importance of this issue has received more attention. One of the major differences between the ...
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Purpose: One of the most vital subcategories of the health care system is organ transplantation, and since organ transplant centers deal directly with surgical operations and, as a result, human lives, the importance of this issue has received more attention. One of the major differences between the organ transplant supply chain and other supply chains is the possibility of corruption of related products. Therefore, the time and also the location of organ transplant centers are of special importance. On the other hand, due to the rapid growth of the demand for organ transplantation and the lack of resources, the patient's waiting time to complete the transplantation process plays a vital role in the organ transplantation system.Methodology: This study presents a robust bi-objective mathematical model for the location problem of allocating organ transplant centers under uncertainty, which includes the total costs of the organ transplant system as well as the average patient waiting time for organ transplantation, which follows a G/G/m queuing system.Findings: To solve this model, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) has been used. Finally, the applicability of this model and the efficiency of the mentioned algorithm compared to the defined indicators have been shown through numerical experiments.Originality/Value: Since each organ can spend a certain amount of time outside the body and there is a possibility of corruption or a decrease in the quality of the transplant, the time between the organ leaving the body and the completion of the transplant operation plays an essential role in the transplant system.
Data Envelopment Analyses
Majid Yarahmadi; Saeedeh Sakiniya
Abstract
Purpose: This paper presents an intelligent method for applying Data Envelopment Analysis (DEA) to design a sustainable supply chain.Methodology: In the proposed method, for defuzzification of the ERM model, we used the -cutting technique. Then, to measure the productivity in the presence of environmental ...
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Purpose: This paper presents an intelligent method for applying Data Envelopment Analysis (DEA) to design a sustainable supply chain.Methodology: In the proposed method, for defuzzification of the ERM model, we used the -cutting technique. Then, to measure the productivity in the presence of environmental uncertainty via different -levels, a genetic algorithm is implemented to find an optimal -cutting. Finally, an intelligent DEA model for ranking the supplier companies via optimal value is designed.Findings: This paper presents a new fuzzy DEA model based on a Genetic Algorithm for evaluating the productivity of suppliers in a sustainable supply chain.Originality/Value: In the proposed method, since the -cut obtained from the Genetic Algorithm is optimal, there is no longer a need to calculate the efficiency for different α-cuts through trial and error. Therefore, the proposed method's advantage is that it offers a more sustainable ranking in addition to increasing productivity for each supplier. The example presented in this article demonstrates the method's superiority and advantages.
Game Theory
Hamed Jafari
Abstract
Purpose: The purpose of this paper is to consider products such as disposable tableware produced from plastic waste. In this setting, plastic waste is collected, recycled, and reused. In this research, a supply chain including waste depot, recycler, and manufacturer is considered in which plastic waste ...
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Purpose: The purpose of this paper is to consider products such as disposable tableware produced from plastic waste. In this setting, plastic waste is collected, recycled, and reused. In this research, a supply chain including waste depot, recycler, and manufacturer is considered in which plastic waste is reused in order to manufacture a product. Under this supply chain, the waste depot collects non-recycled plastic waste and the recycler recycles it. Then, the manufacturer uses recycled plastic waste to produce final product and meet customer demand. In this structure, the waste depot, recycler, and manufacturer set the price of non-recycled plastic waste, the price of recycled plastic waste, and the price of final product, respectively.Methodology: The game theory is used to make the decisions under the considered supply chain. It is assumed that the decision power of the manufacturer is more than of the waste depot and recycler. In this setting, Stackelberg game-theoretic model is established in order to specify the prices adopted by the members.Findings: Results indicate that decision powers of the waste depot and recycler have no effect on the price and demand of final product. The profits allocated to the manufacturer are the same when decision powers of the waste depot and recycler are different. Moreover, more the price elasticity of the demand for final product leads to lower profits for the members.Originality/Value: Using plastic waste is an effective approach to sustain environment and reduce pollution. In this research, plastic waste is used to produce products such as disposable tableware in a supply chain including manufacturer, recycler and waste depot. The game theory approach is also used to make decisions. To our knowledge, the idea of applying the game theory to use plastic waste in production of products under the considered supply chain has been raised for the first time in the literature.
supply chain management analyzing/modelling
Mohammad Mehdi Rahimian Asl; Mohammad Hassan Maleki
Abstract
Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition ...
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Purpose: The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition to being prepared to deal with and respond to disruptions, has the ability to recover pre-disruption conditions and create even better conditions. To move in this direction, it is necessary for decision makers to properly recognize the current position of their supply chain and make the right decisions to improve its dominance.Methodology: To achieve this goal, the present study intends to determine the declining performance of this supply chain system in optimal, current and minimum conditions using Demetel technique, graph theory method and matrix approach. Finally, using the importance-performance analysis method, the components of supply chain are analyzed and prioritize the improvement of each factor.Findings: Based on the results, respectively, supply chain structure, improvement and recovery, learning, flexibility and innovation are in the first to fifth priority to improve the dominance structure of the company's supply chain.Originality/Value: This research supports organizations in assessing the level of sufficiency of their supply chain and facilitates decision making. The following approach can simplify the dynamic nature of the environment for managing supply chain disruptions and even allow managers to compare different supply chains. Continuous assessment and monitoring of the level of chain volatility enables the creation of a competitive advantage to achieve greater market share even during a disruption or ongoing disruptions.
supply chain management analyzing/modelling
Amir Rahimi; Faranak Hosseinzadeh Saljooghi
Abstract
In recent years, a new approach which has been dominant over operation management is the “supply chain management approach”. Supply chain management has attracted most researchers' attentions in recent years. This is the way to improve the economic, social and environmental performance. Therefore, ...
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In recent years, a new approach which has been dominant over operation management is the “supply chain management approach”. Supply chain management has attracted most researchers' attentions in recent years. This is the way to improve the economic, social and environmental performance. Therefore, the evaluation of SSCM is an important task for all types of organizations. Among the methods of evaluation SSCM, it seems that data envelopment analysis (DEA) is an appropriate approach. Some of decision-making units composed of several sections or stages that make a network of sub-processes. In order to evaluate such units, data envelopment analysis (DEA) is applied. This paper presents two approaches to calculate supply chain management as a network process. In the first approach, we consider the generalization of weighted sum model to calculate efficiency and returns to scale (RTS) of supply chain with two-stage process as single-objective approach. In the second one, we introduce the weighted sum model to calculate efficiency and returns to scale (RTS) of supply chain with two-stage process as multi-minded approach, so we try to make it to be single-objective approach and then calculate the efficiency of its total production process, according to the decision-maker's ideas and interests. In the next section of this paper according to the two above approaches, we determine the percent of returns to scale (RTS) of supply chain. Suggested ideas are used to evaluate the efficiency and returns to scale (RTS) of supply chain in resin production companies.