Work-in-process analysis in a production system using a control engineering approach

Mohammadreza Parsanejad, Hiroaki Matsukawa

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

There are different types of inventories in production systems including raw material, work-in-process (WIP) inventory and finished products, and each of them causes associated costs in the production system. In this paper, we analyze work-in-process inventories using a control engineering approach. We apply the Automotive Pipeline Inventory and Order Based Production and Control System (APIOBPCS) as a control system with demand updating, finished products recovery and WIP inventory adjustment as control parameters. We analytically prove that levels of WIP inventory in the system follow Little's law, where the average number of WIP inventory in the system is equal to the production quantity multiplied by production leadtime. Furthermore, we validate this result showing system responses for different inputs such as step function and sinusoidal function. The results shows that WIP behaves the same with the production quantity of the production system, and hence an analysis of WIP can be substituted by an analysis of production quantity.

Original languageEnglish
Pages (from-to)106-113
Number of pages8
JournalJournal of Japan Industrial Management Association
Volume67
Issue number2E
Publication statusPublished - 2016

Fingerprint

Production Systems
Engineering
Control System
Step function
Control systems
Process analysis
Control Parameter
Updating
Adjustment
Recovery
Raw materials
Pipelines
Costs

Keywords

  • Control theory
  • Little's law
  • Production system
  • Work-in-process inventory

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

Cite this

Work-in-process analysis in a production system using a control engineering approach. / Parsanejad, Mohammadreza; Matsukawa, Hiroaki.

In: Journal of Japan Industrial Management Association, Vol. 67, No. 2E, 2016, p. 106-113.

Research output: Contribution to journalArticle

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