The Collective Influence of Component Commonality, Adjustable-Rate, Postponement, and Rework on Multi-Item Manufacturing Decision

Mathematics

Tiffany Chiu¹  Singa Wang Chiu²  Liang-Wei You³  Tsu-Ming Yeh⁴ 

[1] Anisfield School of Business, Ramapo College of New Jersey, Mahwah, NJ 07430, USA;Department of Business Administration, Chaoyang University of Technology, Taichung 413, Taiwan;Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung 413, Taiwan;Department of Industrial Engineering and Management, National Quemoy University, Kinmen 892, Taiwan;

关键词: multi-item manufacturing;    rotation cycle;    product commonality;    adjustable-rate;    postponement;    rework;   

DOI  :  10.3390/math8091570

来源: DOAJ

【 摘 要 】

The present study explores the collective influence of component commonality, adjustable-rate, postponement, and rework on the multi-item manufacturing decision. In contemporary markets, customer demand trends point to fast-response, high-quality, and diversified merchandise. Hence, to meet customer expectations, modern manufacturers must plan their multiproduct fabrication schedule in the most efficient and cost-saving way, especially when product commonality exists in a series of end products. To respond to the above viewpoints, we propose a two-stage multiproduct manufacturing scheme, featuring an adjustable fabrication rate in stage one for all needed common parts, and manufacturing diversified finished goods in stage two. The rework processes are used in both stages to repair the inevitable, nonconforming items and ensure the desired product quality. We derive the cost-minimized rotation cycle decision through modeling, formulation, cost analysis, and differential calculus. Using a numerical illustration, we reveal the collective and individual influence of adjustable-rate, rework, and postponement strategies on diverse critical system performances (such as uptime of the common part and/or end products, utilization, individual cost factor, and total system cost). Our decision-support model offers in-depth managerial insights for manufacturing and operations planning in a wide variety of contemporary industries, such as household merchandise, clothing, and automotive.

【 授权许可】

Unknown