AWIP

A simulation-based feedback control algorithm for scalable design of self-regulating production control systems

Michael Masin, Vittaldas V. Prabhu

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A new simulation-based feedback control algorithm, called Adaptive Work In Process (AWIP), for the design of Self-regulating Production Control Systems (SPCSs) such as Kanban, CONWIP, base stock control and their generalizations is presented. The problem of minimizing average Work In Process (WIP) subject to a required throughput is solved. The AWIP algorithm is used as a feedback controller to adjust the WIP at various stages in the production system. The algorithm is synthesized based on the structural properties of SPCSs that are established analytically in this paper. In this approach simulation is used to provide the feedback to the controllers, and leads to an iterative numerical computational algorithm. Computational experiments show that the AWIP algorithm is near-optimal, and computationally efficient, which makes it an attractive approach for designing and controlling large production systems.

Original languageEnglish (US)
Pages (from-to)120-133
Number of pages14
JournalIIE Transactions (Institute of Industrial Engineers)
Volume41
Issue number2
DOIs
StatePublished - Jan 1 2009

Fingerprint

Production control
Feedback control
Control systems
Feedback
Controllers
Inventory control
Structural properties
Throughput
Experiments

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

@article{5978b34560e642d1bd1e386feabec89a,
title = "AWIP: A simulation-based feedback control algorithm for scalable design of self-regulating production control systems",
abstract = "A new simulation-based feedback control algorithm, called Adaptive Work In Process (AWIP), for the design of Self-regulating Production Control Systems (SPCSs) such as Kanban, CONWIP, base stock control and their generalizations is presented. The problem of minimizing average Work In Process (WIP) subject to a required throughput is solved. The AWIP algorithm is used as a feedback controller to adjust the WIP at various stages in the production system. The algorithm is synthesized based on the structural properties of SPCSs that are established analytically in this paper. In this approach simulation is used to provide the feedback to the controllers, and leads to an iterative numerical computational algorithm. Computational experiments show that the AWIP algorithm is near-optimal, and computationally efficient, which makes it an attractive approach for designing and controlling large production systems.",
author = "Michael Masin and Prabhu, {Vittaldas V.}",
year = "2009",
month = "1",
day = "1",
doi = "10.1080/07408170802275366",
language = "English (US)",
volume = "41",
pages = "120--133",
journal = "IISE Transactions",
issn = "2472-5854",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

TY - JOUR

T1 - AWIP

T2 - A simulation-based feedback control algorithm for scalable design of self-regulating production control systems

AU - Masin, Michael

AU - Prabhu, Vittaldas V.

PY - 2009/1/1

Y1 - 2009/1/1

N2 - A new simulation-based feedback control algorithm, called Adaptive Work In Process (AWIP), for the design of Self-regulating Production Control Systems (SPCSs) such as Kanban, CONWIP, base stock control and their generalizations is presented. The problem of minimizing average Work In Process (WIP) subject to a required throughput is solved. The AWIP algorithm is used as a feedback controller to adjust the WIP at various stages in the production system. The algorithm is synthesized based on the structural properties of SPCSs that are established analytically in this paper. In this approach simulation is used to provide the feedback to the controllers, and leads to an iterative numerical computational algorithm. Computational experiments show that the AWIP algorithm is near-optimal, and computationally efficient, which makes it an attractive approach for designing and controlling large production systems.

AB - A new simulation-based feedback control algorithm, called Adaptive Work In Process (AWIP), for the design of Self-regulating Production Control Systems (SPCSs) such as Kanban, CONWIP, base stock control and their generalizations is presented. The problem of minimizing average Work In Process (WIP) subject to a required throughput is solved. The AWIP algorithm is used as a feedback controller to adjust the WIP at various stages in the production system. The algorithm is synthesized based on the structural properties of SPCSs that are established analytically in this paper. In this approach simulation is used to provide the feedback to the controllers, and leads to an iterative numerical computational algorithm. Computational experiments show that the AWIP algorithm is near-optimal, and computationally efficient, which makes it an attractive approach for designing and controlling large production systems.

UR - http://www.scopus.com/inward/record.url?scp=56749132220&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=56749132220&partnerID=8YFLogxK

U2 - 10.1080/07408170802275366

DO - 10.1080/07408170802275366

M3 - Article

VL - 41

SP - 120

EP - 133

JO - IISE Transactions

JF - IISE Transactions

SN - 2472-5854

IS - 2

ER -