A FUZZY EXPERT SYSTEM FOR THE INTEGRATION OF COLLABORATIVE SUPPLY CHAINS
DOI:
https://doi.org/10.7166/27-2-1241Keywords:
integrated supply chain, integration levels, expert system, fuzzy logic.Abstract
The integration of supply chains has become a global operations strategy for many organisations because it allows them to improve customer service, minimise operating costs, and synchronise channels across the supply chain. This paper presents the design and implementation of a fuzzy expert system for the integration of collaborative supply chains. A measurement instrument that was statistically validated and formulated using a mathematical model was designed to implement the fuzzy expert system. This instrument was applied in 44 small-, medium-, and large-sized Mexican enterprises to determine their integration level. Specific actions were proposed, based on the results, to improve the attained integration level.
Downloads
Download data is not yet available.
Downloads
Published
2016-08-12
How to Cite
Bautista-Santos, H., Martínez-Flores, J. L., Bernabé-Loranca, M. B., Sánchez-Partida, D., & Sánchez-Galván, F. (2016). A FUZZY EXPERT SYSTEM FOR THE INTEGRATION OF COLLABORATIVE SUPPLY CHAINS. The South African Journal of Industrial Engineering, 27(2), 234–250. https://doi.org/10.7166/27-2-1241
Issue
Section
Case Studies
License
Authors who publish in the Journal agree to the following terms:- Authors retain copyright and grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Journal.