A Fuzzy-Based Analytical Model of Dynamic Information Flows in e-SCM

  • Iraj Mahdavi Mazandaran University of Science & Technology, Babol, Iran
  • Namjae Cho Hanyang University, Seoul, Korea
  • Shima Mohebbi Mazandaran University of Science & Technology,Babol, Iran

Abstract

Electronic marketplace (EM) has been considered as an alternative coordination mechanism between suppliers and buyers in supply chain activities. In the emerging business-to-business (B2B) electronic commerce contexts, the new functional relationships have been created between suppliers and buyers to reduce lead times and stock outs, and to improve customer service level. In this paper we develop an e-based supply chain model and an agent for designing mass customized on line service. A new model of supply chain information flows with fuzzy logic is also suggested in an attempt to achieve highly improved performance of logistical management with non-quantifiable parameters. We intend to investigate the role of an agent and information in supply chain activities. Information can reduce the level of uncertainty which both suppliers and buyers face with. It can also provide reliable and dynamic activities streamlined to supply chains of high performances. Keywords: Information flows, e-SCM, Fuzzy logic, Agent

Author Biographies

Iraj Mahdavi, Mazandaran University of Science & Technology, Babol, Iran
Professor, Department of Industrial Engineering
Namjae Cho, Hanyang University, Seoul, Korea
Professor, School of Business
Shima Mohebbi, Mazandaran University of Science & Technology,Babol, Iran
Department of Industrial Engineering
Published
2007-12-18
How to Cite
Mahdavi, I., Cho, N., & Mohebbi, S. (2007). A Fuzzy-Based Analytical Model of Dynamic Information Flows in e-SCM. Contemporary Management Research, 3(4). https://doi.org/10.7903/cmr.24
Section
Operation Management and Industrial Engineering