Multi-criteria decision techniques for context-aware B2B collaboration in supply chains

• Main Authors: Tan, P. S., Lee, S. S. G., Goh, Angela Eck Soong.
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/85670; http://hdl.handle.net/10220/13180
• Institution: Nanyang Technological University

In today's rapidly changing environment, B2B collaboration technologies are crucial to support the growing complexity and diversity of supply chains. This paper proposes a multi-criteria decision making (MCDM) technique, Deviation Measure, to support decision making in context-aware B2B collaboration. Empirical investigations to compare this proposed technique against other short-listed MCDM techniques were conducted. The completeness of ranking results, stability and robustness of the ranking sequence when new alternatives are introduced was investigated. The tests also examined the sensitivity of the sequence to changing weights in the criteria used. Results showed that the Deviation Measure technique is the best.