Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes0-30139 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 19 article 882 pages: 1020-1034

Yuan-Shyi Peter Chiu
Chaoyang University of Technology, Department of Industrial Engineering & Management, Wufeng, Taiwan

Chih-Yun Ke
Chaoyang University of Technology, Department of Industrial Engineering & Management, Wufeng, Taiwan

Victoria Chiu
State University of New York at Oswego, Department of Accounting, Finance and Law, Oswego, USA

Ming-Hon Hwang*
Chaoyang University of Technology, Department of Marketing & Logistics Management, Wufeng, Taiwan

This study examines the effect of delayed differentiation, outsourcing, expedited fabrication rate, and rework strategies on optimal cycle-time decisions for a multi-item manufacturing system. Today’s manufacturing firms must simultaneously deal with externally increasing client multi-item requirements with rapid lead-time and high-quality products and internally on a limited capacity. This study is aimed at assisting manufacturers in meeting client needs in conditions of restricted-capacity and minimum total operating expenses, and adopts a delayed differentiation two-stage multiproduct manufacturing scheme to manage the end products’ commonality. The first stage produces all required common components, and the second stage fabricates individual finished goods. In both stages, we adopt the reworking of the inevitable nonconforming items produced to assure product quality. Furthermore, we implemented partial outsourcing of common parts’ batch and expedited the manufacturing rate of finished products to effectively reduce the uptimes in both stages. We explicitly developed a model to describe the characteristics of the problem. Mathematical analyses with optimization proved the cost function’s convexity and determined the cost-minimization rotation cycle policy. Finally, we numerically validated our model’s and results’ applicability and capability with a simulated example. Apart from creating a useful decision model, this study makes another important contribution to the existing literature in that its revelation of collective/individual effect of the manufacturing-relevant methods on the problem’s best-operating cycle policy and crucial performance indices helps manufacturers have better control over their operations and make effective and efficient managerial decisions.

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This work is sponsored by the Ministry of Science and Technology of Taiwan (Grant #: MOST 109-2221-E-324-015).

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