AWIP: A simulation-based feedback control algorithm for Self-regulating Production Control Systems

Liya Wang, Vittaldas Prabhu

Research output: Contribution to conferencePaper

Abstract

Reducing mean Work in Process (WIP) or mean flow time subject to throughput is an important problem in shop floor control. In this paper we present a simulation-based feedback control algorithm called Adaptive Work in Process (AWIP) for setting WIP levels to meet target production rates in self-regulating production control systems. Based on simulation, AWIP gets system information such as machine utilization, queue length, and blocked status of every workstation, and then utilizes this information to adjust WIP levels subject to throughput constraints. The algorithm doesn't require priori information of the system, and is suitable for systems subject to environment changes such as variable demand. We demonstrate the effectiveness of AWIP under a variety of conditions, including single and multi-class of products, simple flow lines, routings with shared resources, and assembly systems. The benefits from this algorithm include: (1) Suitable to many types of system. (2) Near optimal solution. (3) Automatically responds to changes in system.

Original languageEnglish (US)
Number of pages1
StatePublished - Dec 1 2004
EventIIE Annual Conference and Exhibition 2004 - Houston, TX, United States
Duration: May 15 2004May 19 2004

Other

OtherIIE Annual Conference and Exhibition 2004
CountryUnited States
CityHouston, TX
Period5/15/045/19/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Wang, L., & Prabhu, V. (2004). AWIP: A simulation-based feedback control algorithm for Self-regulating Production Control Systems. Paper presented at IIE Annual Conference and Exhibition 2004, Houston, TX, United States.