A state-space heuristic for adaptive production control in one-of-a-kind production

Wei Li; Barrie R. Nault; Yiliu Tu; Deyi Xue

A state-space heuristic for adaptive production control in one-of-a-kind production

Wei Li, Barrie R. Nault, Yiliu Tu, Deyi Xue

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

One-of-a-kind production (OKP) is a competitive production mode aiming at achieving mass customization. Whereas, dynamics in OKP cause difficulties on production scheduling, which may be manifested as frequent changes of customer orders, differences of production processes, different processing times of products, and so on. For production scheduling in OKP, we propose a state-space (SS) heuristic. Based on case studies on Taillard's benchmarks, SS shows improvement over the best of six heuristics, CDS. SS also shows the suitability especially for adaptive production control to deal with disturbances, such as operator absence/machine breakdown.

Original language	English
Title of host publication	Transactions of the North American Manufacturing Research Institution of SME - 37th Annual North American Manufacturing Research Conference, NAMRC 37
Pages	483-490
Number of pages	8
State	Published - 2009
Event	37th Annual North American Manufacturing Research Conference, NAMRC 37 - Greenville, SC, United States Duration: May 19 2009 → May 22 2009

Publication series

Name	Transactions of the North American Manufacturing Research Institution of SME
Volume	37
ISSN (Print)	1047-3025

Conference

Conference	37th Annual North American Manufacturing Research Conference, NAMRC 37
Country/Territory	United States
City	Greenville, SC
Period	5/19/09 → 5/22/09

Keywords

Adaptive production control
Flow shop
Machine breakdown
One-of-a-kind production (OKP)
Operator absence

ASJC Scopus subject areas

Mechanical Engineering
Industrial and Manufacturing Engineering

Cite this

Li, W., Nault, B. R., Tu, Y., & Xue, D. (2009). A state-space heuristic for adaptive production control in one-of-a-kind production. In Transactions of the North American Manufacturing Research Institution of SME - 37th Annual North American Manufacturing Research Conference, NAMRC 37 (pp. 483-490). (Transactions of the North American Manufacturing Research Institution of SME; Vol. 37).

Li, Wei ; Nault, Barrie R. ; Tu, Yiliu et al. / A state-space heuristic for adaptive production control in one-of-a-kind production. Transactions of the North American Manufacturing Research Institution of SME - 37th Annual North American Manufacturing Research Conference, NAMRC 37. 2009. pp. 483-490 (Transactions of the North American Manufacturing Research Institution of SME).

@inproceedings{55600d7072d646c3b65104d7decdf2ba,

title = "A state-space heuristic for adaptive production control in one-of-a-kind production",

abstract = "One-of-a-kind production (OKP) is a competitive production mode aiming at achieving mass customization. Whereas, dynamics in OKP cause difficulties on production scheduling, which may be manifested as frequent changes of customer orders, differences of production processes, different processing times of products, and so on. For production scheduling in OKP, we propose a state-space (SS) heuristic. Based on case studies on Taillard's benchmarks, SS shows improvement over the best of six heuristics, CDS. SS also shows the suitability especially for adaptive production control to deal with disturbances, such as operator absence/machine breakdown.",

keywords = "Adaptive production control, Flow shop, Machine breakdown, One-of-a-kind production (OKP), Operator absence",

author = "Wei Li and Nault, {Barrie R.} and Yiliu Tu and Deyi Xue",

year = "2009",

language = "English",

isbn = "0872638626",

series = "Transactions of the North American Manufacturing Research Institution of SME",

pages = "483--490",

booktitle = "Transactions of the North American Manufacturing Research Institution of SME - 37th Annual North American Manufacturing Research Conference, NAMRC 37",

note = "37th Annual North American Manufacturing Research Conference, NAMRC 37 ; Conference date: 19-05-2009 Through 22-05-2009",

}

Li, W, Nault, BR, Tu, Y & Xue, D 2009, A state-space heuristic for adaptive production control in one-of-a-kind production. in Transactions of the North American Manufacturing Research Institution of SME - 37th Annual North American Manufacturing Research Conference, NAMRC 37. Transactions of the North American Manufacturing Research Institution of SME, vol. 37, pp. 483-490, 37th Annual North American Manufacturing Research Conference, NAMRC 37, Greenville, SC, United States, 5/19/09.

A state-space heuristic for adaptive production control in one-of-a-kind production. / Li, Wei; Nault, Barrie R.; Tu, Yiliu et al.
Transactions of the North American Manufacturing Research Institution of SME - 37th Annual North American Manufacturing Research Conference, NAMRC 37. 2009. p. 483-490 (Transactions of the North American Manufacturing Research Institution of SME; Vol. 37).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A state-space heuristic for adaptive production control in one-of-a-kind production

AU - Li, Wei

AU - Nault, Barrie R.

AU - Tu, Yiliu

AU - Xue, Deyi

PY - 2009

Y1 - 2009

N2 - One-of-a-kind production (OKP) is a competitive production mode aiming at achieving mass customization. Whereas, dynamics in OKP cause difficulties on production scheduling, which may be manifested as frequent changes of customer orders, differences of production processes, different processing times of products, and so on. For production scheduling in OKP, we propose a state-space (SS) heuristic. Based on case studies on Taillard's benchmarks, SS shows improvement over the best of six heuristics, CDS. SS also shows the suitability especially for adaptive production control to deal with disturbances, such as operator absence/machine breakdown.

AB - One-of-a-kind production (OKP) is a competitive production mode aiming at achieving mass customization. Whereas, dynamics in OKP cause difficulties on production scheduling, which may be manifested as frequent changes of customer orders, differences of production processes, different processing times of products, and so on. For production scheduling in OKP, we propose a state-space (SS) heuristic. Based on case studies on Taillard's benchmarks, SS shows improvement over the best of six heuristics, CDS. SS also shows the suitability especially for adaptive production control to deal with disturbances, such as operator absence/machine breakdown.

KW - Adaptive production control

KW - Flow shop

KW - Machine breakdown

KW - One-of-a-kind production (OKP)

KW - Operator absence

UR - http://www.scopus.com/inward/record.url?scp=70449650454&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449650454&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:70449650454

SN - 0872638626

SN - 9780872638624

T3 - Transactions of the North American Manufacturing Research Institution of SME

SP - 483

EP - 490

BT - Transactions of the North American Manufacturing Research Institution of SME - 37th Annual North American Manufacturing Research Conference, NAMRC 37

T2 - 37th Annual North American Manufacturing Research Conference, NAMRC 37

Y2 - 19 May 2009 through 22 May 2009

ER -

A state-space heuristic for adaptive production control in one-of-a-kind production

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this