In recent years, manufacturing companies have entered a new era in which all manufacturing enterprises must compete in a global economy. To stay competitive, companies must use production systems that only produce their goods with high productivity, but also allow rapid response to market changes and customers’ needs. The emerging new paradigm of inter-firm relations involving both cooperative and competitive elements, called co-opetition, seems well face this issue. The chapter proposes a multi agent architecture to support different coordination policy in an electronic co-opetitive network in which plants are willing to exchange productive capacity. An innovative approach based on cooperative game theory is proposed in this research and its performance is compared with the prevalent negotiation approach. A discrete event simulation environment has been developed in order to evaluate the related performances. The case in which no relation exists among plants has been considered as a benchmark. The obtained results show that the proposed approach outperforms the negotiation mechanism form many point of view.
Capacity Sharing Issue in an Electronic Co-Opetitive Network: A Simulative Approach
RENNA, PAOLO;
2011-01-01
Abstract
In recent years, manufacturing companies have entered a new era in which all manufacturing enterprises must compete in a global economy. To stay competitive, companies must use production systems that only produce their goods with high productivity, but also allow rapid response to market changes and customers’ needs. The emerging new paradigm of inter-firm relations involving both cooperative and competitive elements, called co-opetition, seems well face this issue. The chapter proposes a multi agent architecture to support different coordination policy in an electronic co-opetitive network in which plants are willing to exchange productive capacity. An innovative approach based on cooperative game theory is proposed in this research and its performance is compared with the prevalent negotiation approach. A discrete event simulation environment has been developed in order to evaluate the related performances. The case in which no relation exists among plants has been considered as a benchmark. The obtained results show that the proposed approach outperforms the negotiation mechanism form many point of view.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.