8 research outputs found
Measuring performance of supply chain by relational network DEA: A game theory approach
An appropriate performance measurement system is an important requirement for the effective management of a supply chain. Because of the existence of the intermediate measures connecting the supply chain members, conventional data envelopment analysis (DEA) cannot be utilized directly to measure the performance of supply chain and its members. This paper evaluated the performance of supply chain under cooperative and non-cooperative games by utilizing relational network DEA. Relational network DEA model considers the interrelationship of the members within the supply chain, to measure the efficiency of the supply chain and those of the members at the same time. The non-cooperative game is based on the Stackelberg strategy solution concept. In non- cooperative game, it is considered that some parts in supply chain have more power in marketing competition (leaders) and the other parts of the supply chain repetition of supply chain are the followers. In the leader-follower structure (Stackelberg model), the leaders efficiency, first evaluated by using the relational network DEA in parallel situation, and then the followers efficiency is evaluated, using information related to the leaderβs efficiency. In cooperative game it is assumed that all parts of supply chain cooperate to each other in order to achieve higher efficiency
Measuring performance of supply chain by relational network DEA: A game theory approach
An appropriate performance measurement system is an important requirement for the effective management of a supply chain. Because of the existence of the intermediate measures connecting the supply chain members, conventional data envelopment analysis (DEA) cannot be utilized directly to measure the performance of supply chain and its members. This paper evaluated the performance of supply chain under cooperative and non-cooperative games by utilizing relational network DEA. Relational network DEA model considers the interrelationship of the members within the supply chain, to measure the efficiency of the supply chain and those of the members at the same time. The non-cooperative game is based on the Stackelberg strategy solution concept. In non- cooperative game, it is considered that some parts in supply chain have more power in marketing competition (leaders) and the other parts of the supply chain repetition of supply chain are the followers. In the leader-follower structure (Stackelberg model), the leaders efficiency, first evaluated by using the relational network DEA in parallel situation, and then the followers efficiency is evaluated, using information related to the leaderβs efficiency. In cooperative game it is assumed that all parts of supply chain cooperate to each other in order to achieve higher efficiency
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Abstract 43Maste
Parallel importation in a supply Chain:The impact of gray market structure
With the rapid development of global economic integration, the size of gray markets continues to expand. The purpose of this paper is to analyse the impact of different structures of gray markets on supply chain decisions and profits. Using game theory, we comprehensively analyze pricing and quantity decisions under monopoly parallel importation (either third-party parallel importation or retailer parallel importation), and duopoly parallel importation, including three different structures in which the retailer and the third-party parallel importation coexist in gray markets with different power structures. We obtain equilibrium results for each structure, compare the optimal strategies of these structures, and develop valuable insights
Equilibrium analysis of supply chain structures under power imbalance
This paper investigates the implications of channel power on supply chain stability in a setting where multiple suppliers sell substitutable products through a common retailer. Such supply chains have been traditionally analyzed as one- or two-stage Stackelberg non-cooperative games with all suppliers sharing balanced (equal) decision-making power. In this paper, we relax this assumption and formulate game-theoretic models to examine scenarios where one supplier can act as the Stackelberg leader. Consequently, we analyze new supply chain structures and introduce the notion of structure dominance, a novel approach to analyze the performance of supply chains that has practical implications. Thus, a decision maker can employ the concepts of structure dominance to determine whether there exist supply chain scenarios that are more stable than others, i.e., less prone to power reconfigurations, at both agent and group level. We find that power imbalance causes significant declines in supply chain profits, and the more balanced the agents are the higher their profits when demand is linear, regardless of product competition. It develops that neither the Manufacturer Stackelberg nor the Retailer Stackelberg supply chains are stable structures in our generalized setting, but that structures where power is equally split between agents provide for best stability and performance.Power dominance Supply chain stability Game theory