3 October 2001 Intelligent decision support tool for supply chain planning
Author Affiliations +
Proceedings Volume 4565, Intelligent Systems in Design and Manufacturing IV; (2001) https://doi.org/10.1117/12.443117
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States
A decision support system using extended quality function deployment model (EQFDM) and internet application for manufacturing supply chain (SC) planning has been developed in this research. In this paper, a customer-focused quality evaluation approach, the EQFDM with internet application is employed to develop a coordinated planning system in SCs and assist mapping decisions of strategic planning into each partner's internal planning processes. To facilitate cooperation of SC partners in strategic planning, the hybrid planning process has been programmed into a web tool. The local planning has been supported by fuzzy logic approach so that approximate optimal solutions can be obtained avoiding difficulties of acquiring quantitative data. Through this intelligent Web based architecture, individual planning processes can be efficiently co-ordinated by means of efficient communication and visualizing consequences of a decision to be made on SC performance. Case study in a manufacturing (packaging) SC has been conducted to implement a scenario planning process for strategies on re-engineering the manufacturing SC. The research result shows that the intelligent system could be a promising tool for assisting strategic planning in a SC cooperation context.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dong Li, Dong Li, Cathy Barnes, Cathy Barnes, C. Axtell, C. Axtell, Alison McKay, Alison McKay, Alan de Pennington, Alan de Pennington, } "Intelligent decision support tool for supply chain planning", Proc. SPIE 4565, Intelligent Systems in Design and Manufacturing IV, (3 October 2001); doi: 10.1117/12.443117; https://doi.org/10.1117/12.443117


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