Effect of activity schedulings and inventory control: An experimental investigation for PC assembly

Abhyuday A. Desai, Yung Nien Yang, Hamid Parsaei

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper investigates three scheduling algorithms and three inventory control policies to evaluate their effect on the system performance measures using computer simulation. The model chosen is a flow-shop type, computer assembly plant. Analysis is conducted on two scheduling measures (summation of process time and tardiness) and two inventory control measures (ordering cost and holding cost). The scheduling algorithms used are Shortest Processing Time, Genetic Algorithm and Simulated Annealing. The aim of the applied algorithms was to minimize the sum of flow times. Since it is known that SPT minimizes sum of flow times, it provides a benchmark for comparing the efficiency of genetic algorithm and simulated annealing search methods. EOQ, MRP and JIT are used as inventory control methods. An experimental design for the comparison is presented to evaluate which combination of control methods produces the best results under the designed scenario.

Original languageEnglish
Pages (from-to)282-294
Number of pages13
JournalJournal of the Chinese Institute of Industrial Engineers
Volume20
Issue number3
Publication statusPublished - May 2003
Externally publishedYes

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Keywords

  • Economic ordering quantity
  • Genetic algorithms
  • Just-in-time
  • Material requirement planning
  • Simulated annealing

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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