Designing a collaborative supply-chain plan using the analytic hierarchy process and genetic algorithm with cycle-time estimation |
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Authors: | Z H Che Tzu-An Chiang |
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Affiliation: | 1. Department of Industrial Engineering &2. Management , National Taipei University of Technology , 1, Sec. 3, Chung-Hsiao E. Rd., Taipei 106 , Taiwan , ROC zhche@ntut.edu.tw;4. Department of Commerce Automation &5. Management , National Pingtung Institute of Commerce , 51, Minsheng E. Rd., Pingtung 900 , Taiwan , ROC |
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Abstract: | Collaboration management has become a key issue for supply-chain management and can improve the overall production/manufacturing performance and value. This paper aims to conduct collaborative supply-chain planning and establish supplier selection, as well as production and distribution planning. This study uses an Analytic Hierarchy Process with Rough Sets Theory to establish a supplier purchasing value rating system. Also, a cycle-time estimation procedure is developed to effectively estimate the operating time of a collaborative supply chain. Assembly-line balancing technology is also introduced to guarantee smooth production and distribution in a supply chain. A multi-objective optimisation mathematical model, including purchasing value, cost, cycle time, and smoothness index, is constructed to complete the supplier selection and production-distribution planning. To efficiently solve this mathematical model, this paper proposes a genetic algorithm (EctGA) combined with a cycle-time estimation procedure. Finally, it presents a case study for validation. The results show that a better collaborative supply chain plan could be achieved by combining the proposed cycle-time estimation procedure. |
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Keywords: | collaborative supply chain cycle-time estimation assembly-line balancing technology analytic hierarchy process genetic algorithm |
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