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Optimization of setup frequency for TOC supply chain replenishment system with capacity constraints

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Abstract

The theory of constraints (TOC) supply chain replenishment system (TOC-SCRS) is one of the effective inventory replenishment methods. When it is deployed in a plant or a central warehouse with capacity constraints (CC), TOC-SCRS faces a conflict problem between setup frequency (SF) and production quantity (PQ). This paper presents a novel approach to solve the conflict problem by using particle swarm optimization and genetic algorithms. An optimization approach that consists of two optimization stages is constructed to realize high PQ and fast SF for TOC-SCRS with CC. An illustrative example about how to optimize SF is presented to demonstrate the feasibility and effectiveness of the proposed approach.

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Authors and Affiliations

  1. Department of Management Science, Xiamen University of Technology, No. 600, Ligong Rd., Jimei, Xiamen, China

    Xiao-Yun Jiang

  2. Department of Business Administration, Chung Hua University, No. 707, Sec. 2, WuFu Rd., Hsinchu, Taiwan

    Horng-Huei Wu

Authors
  1. Xiao-Yun Jiang
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Correspondence to Xiao-Yun Jiang.

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Jiang, XY., Wu, HH. Optimization of setup frequency for TOC supply chain replenishment system with capacity constraints. Neural Comput & Applic 23, 1831–1838 (2013). https://doi.org/10.1007/s00521-013-1376-0

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  • DOI: https://doi.org/10.1007/s00521-013-1376-0

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