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Efficient combined immune-decomposition algorithm for optimal buffer allocation in production lines for throughput and profit maximization

Authors
Journal
Computers & Operations Research
0305-0548
Publisher
Elsevier
Publication Date
Volume
37
Issue
4
Identifiers
DOI: 10.1016/j.cor.2009.06.016
Keywords
  • Buffers
  • Average Throughput
  • Work Inventory
  • Optimization
  • Artificial Immune System
  • Decomposition Method
Disciplines
  • Computer Science
  • Economics

Abstract

Abstract Adequate allocation of buffers in transfer lines is crucial to the optimization of line throughput and work in process (WIP) inventory. Their optimal allocation is subject to specific constraints, associated costs, and revenue projections. In this paper, we implement a combined artificial immune system optimization algorithm in conjunction with a decomposition method to optimally allocate buffers in transfer lines. The aim of the buffer allocation problem (BAP) is to achieve optimal system performance under buffers space constraints. Maximizing line throughput does not necessarily achieve maximum profit. In this study the immune decomposition algorithm (IDA) is used to determine optimal buffer allocation for maximum line throughput and maximum line economic profit. Results of extensive series of tests carried out to compare, in production lines with different characteristics, the performances of the proposed method and those of other algorithms are presented.

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