The impact of collaborative transportation management on demand disruption of manufacturing supply chains

• Published in: International journal of production research Vol. 50; no. 19; pp. 5635 - 5650
• Main Authors: Li, Jing, Chan, Felix T.S.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis Group 01.10.2012; Taylor & Francis; Taylor & Francis LLC
• Subjects: Applied sciences; Artificial intelligence; Collaboration; collaborative transportation management; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Demand; Disruption; dynamic order points; Dynamic tests; Evolution; Exact sciences and technology; Flexibility; flexible delivery; Ground, air and sea transportation, marine construction; Logistics; Marketing; multi-agent simulation; Operational research and scientific management; Operational research. Management science; Simulation; Software; Studies; Supply chain management; Supply chains; Transportation management; Transportation planning, management and economics; Transportation problem (Operations research); Costs; dynamic order points; multi-agent simulation; Computer simulation; Evolution equation; Supply disruption; Flexibility; Modeling; Multiagent system; Shortage; Traffic management; Dial a ride; supply chain management; collaborative transportation management; Artificial intelligence; Firm; Logistics; flexible delivery
• ISSN: 0020-7543; 1366-588X
• DOI: 10.1080/00207543.2011.651540

This paper describes the impact of collaborative transportation management (CTM) on the performance of manufacturing supply chains using a multi-agent approach. Two supply chain models (with and without CTM) are proposed to show how it realises the real operational interactions between different supply chain partners under demand disruption. Simulation results of the proposed models reveal the evolution of the CTM supply chain with demand disruption. The dynamic delivery ability and order point which are caused by demand disruption in the CTM supply chain are investigated. The results indicate that CTM can significantly reduce costs and improve the flexibility of companies in handling demand disruption problems. It is suggested that CTM is an efficient mechanism to manage supply chains, especially under a demand disruption environment.