Modeling of A Pull-Push Assembly Control System To Minimize Inventory and Demand Delay Costs

Authors

  • Mehmet Savsar Kuwait University
  • Fawaz Abdulmalek Kuwait University

DOI:

https://doi.org/10.23055/ijietap.2008.15.1.65

Keywords:

Just-in-Time, Simulation, Kanbans, Pull-Push Assembly System, Work-in-Process.

Abstract

This study deals with modeling and analysis of an electronic assembly line, which operates according to a pull-push system of production control. Weekly scheduled demands are met from finished products inventory, which in turn trigger production at the first station by signaling with certain number of kanbans, which are equal to the product quantity withdrawn. The successive assembly operations are performed using a push system of production control. The objective of the simulation analysis presented in this paper is to determine the optimum number of kanbans attached to the batches of products in the system to minimize the total system cost, which consists of inventory holding cost, demand delay cost, and transportation costs due to regular and additional shipments of demand

Author Biographies

Mehmet Savsar, Kuwait University

D

Fawaz Abdulmalek, Kuwait University

Dr. Abdulmalek is a faculty member in the Industrial and Management Systems Engineering Department at Kuwait University. He received his B.S. degree in Mechanical Engineering from the University of South Carolina, and his M.S. and PhD degrees in Industrial Engineering from the University of Pittsburgh. Currently Dr. Abdulmalek is a visiting research scholar at the University of Pittsburgh. Dr. Abdulmalek’s research interests include simulation of manufacturing systems, production and operations planning, supply chain and logistics and lean manufacturing.

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Published

2022-02-24

How to Cite

Savsar, M., & Abdulmalek, F. (2022). Modeling of A Pull-Push Assembly Control System To Minimize Inventory and Demand Delay Costs. International Journal of Industrial Engineering: Theory, Applications and Practice, 15(1), 83–91. https://doi.org/10.23055/ijietap.2008.15.1.65

Issue

Vol. 15 No. 1 (2008)

Section

Production Planning and Control

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