Systematic modeling and reusing of process knowledge for rapid process configuration

L Y Zheng, H F Dong, Parag Vichare, Aydin Nassehi, Stephen Newman

Research output: Contribution to journalArticle

  • 25 Citations

Abstract

Rapid product development relies heavily on quick and reliable process planning and knowledge reuse. Process configuration borrows the principles of product configuration and applies them to process planning. It allows the reuse of hierarchical, historical and case-based manufacturing process knowledge to generate process plans efficiently and effectively. This paper presents a systematic knowledge model for manufacturing process cases. The model represents process knowledge at different levels of granularity and to facilitate process configuration. With this knowledge model the process knowledge is categorized into 6 levels: (i) core process skeletons, (ii) process networks, (iii) process routes, (iv) process segments, (v) processes/workplan, and (vi) operations/working step. Based on the systematic knowledge model, this paper also proposes an approach to achieve rapid process configuration by reusing the process knowledge and by performing the involved configuration rules so as to create an appropriate, reliable and effective process plan. The prototype for a graphical process planner based on this knowledge model is developed and an aerospace example is used to validate the proposed process knowledge model and process configuration. © 2008 Elsevier Ltd. All rights reserved.
LanguageEnglish
Pages763-772
Number of pages10
JournalRobotics and Computer-Integrated Manufacturing
Volume24
Issue number6
DOIs
StatusPublished - Dec 2008

Fingerprint

Configuration
Modeling
Process planning
Core levels
Product development
Knowledge
Process Planning
Reuse
Manufacturing
Model
Product Development
Granularity
Skeleton
Process Model
Prototype

Keywords

  • Process configuration
  • STEP
  • Product family
  • Process planning
  • Knowledge reuse

Cite this

Systematic modeling and reusing of process knowledge for rapid process configuration. / Zheng, L Y; Dong, H F; Vichare, Parag; Nassehi, Aydin; Newman, Stephen.

In: Robotics and Computer-Integrated Manufacturing, Vol. 24, No. 6, 12.2008, p. 763-772.

Research output: Contribution to journalArticle

Zheng, L Y ; Dong, H F ; Vichare, Parag ; Nassehi, Aydin ; Newman, Stephen. / Systematic modeling and reusing of process knowledge for rapid process configuration. In: Robotics and Computer-Integrated Manufacturing. 2008 ; Vol. 24, No. 6. pp. 763-772
@article{aba875526e42432dae4f107fdfd2e378,
title = "Systematic modeling and reusing of process knowledge for rapid process configuration",
abstract = "Rapid product development relies heavily on quick and reliable process planning and knowledge reuse. Process configuration borrows the principles of product configuration and applies them to process planning. It allows the reuse of hierarchical, historical and case-based manufacturing process knowledge to generate process plans efficiently and effectively. This paper presents a systematic knowledge model for manufacturing process cases. The model represents process knowledge at different levels of granularity and to facilitate process configuration. With this knowledge model the process knowledge is categorized into 6 levels: (i) core process skeletons, (ii) process networks, (iii) process routes, (iv) process segments, (v) processes/workplan, and (vi) operations/working step. Based on the systematic knowledge model, this paper also proposes an approach to achieve rapid process configuration by reusing the process knowledge and by performing the involved configuration rules so as to create an appropriate, reliable and effective process plan. The prototype for a graphical process planner based on this knowledge model is developed and an aerospace example is used to validate the proposed process knowledge model and process configuration. {\circledC} 2008 Elsevier Ltd. All rights reserved.",
keywords = "Process configuration, STEP, Product family, Process planning, Knowledge reuse",
author = "Zheng, {L Y} and Dong, {H F} and Parag Vichare and Aydin Nassehi and Stephen Newman",
year = "2008",
month = "12",
doi = "10.1016/j.rcim.2008.03.006",
language = "English",
volume = "24",
pages = "763--772",
journal = "Robotics and Computer-Integrated Manufacturing",
issn = "0736-5845",
publisher = "Elsevier",
number = "6",

}

TY - JOUR

T1 - Systematic modeling and reusing of process knowledge for rapid process configuration

AU - Zheng,L Y

AU - Dong,H F

AU - Vichare,Parag

AU - Nassehi,Aydin

AU - Newman,Stephen

PY - 2008/12

Y1 - 2008/12

N2 - Rapid product development relies heavily on quick and reliable process planning and knowledge reuse. Process configuration borrows the principles of product configuration and applies them to process planning. It allows the reuse of hierarchical, historical and case-based manufacturing process knowledge to generate process plans efficiently and effectively. This paper presents a systematic knowledge model for manufacturing process cases. The model represents process knowledge at different levels of granularity and to facilitate process configuration. With this knowledge model the process knowledge is categorized into 6 levels: (i) core process skeletons, (ii) process networks, (iii) process routes, (iv) process segments, (v) processes/workplan, and (vi) operations/working step. Based on the systematic knowledge model, this paper also proposes an approach to achieve rapid process configuration by reusing the process knowledge and by performing the involved configuration rules so as to create an appropriate, reliable and effective process plan. The prototype for a graphical process planner based on this knowledge model is developed and an aerospace example is used to validate the proposed process knowledge model and process configuration. © 2008 Elsevier Ltd. All rights reserved.

AB - Rapid product development relies heavily on quick and reliable process planning and knowledge reuse. Process configuration borrows the principles of product configuration and applies them to process planning. It allows the reuse of hierarchical, historical and case-based manufacturing process knowledge to generate process plans efficiently and effectively. This paper presents a systematic knowledge model for manufacturing process cases. The model represents process knowledge at different levels of granularity and to facilitate process configuration. With this knowledge model the process knowledge is categorized into 6 levels: (i) core process skeletons, (ii) process networks, (iii) process routes, (iv) process segments, (v) processes/workplan, and (vi) operations/working step. Based on the systematic knowledge model, this paper also proposes an approach to achieve rapid process configuration by reusing the process knowledge and by performing the involved configuration rules so as to create an appropriate, reliable and effective process plan. The prototype for a graphical process planner based on this knowledge model is developed and an aerospace example is used to validate the proposed process knowledge model and process configuration. © 2008 Elsevier Ltd. All rights reserved.

KW - Process configuration

KW - STEP

KW - Product family

KW - Process planning

KW - Knowledge reuse

UR - http://www.scopus.com/inward/record.url?scp=50349099159&partnerID=8YFLogxK

UR - http://dx.doi.org/10.1016/j.rcim.2008.03.006

U2 - 10.1016/j.rcim.2008.03.006

DO - 10.1016/j.rcim.2008.03.006

M3 - Article

VL - 24

SP - 763

EP - 772

JO - Robotics and Computer-Integrated Manufacturing

T2 - Robotics and Computer-Integrated Manufacturing

JF - Robotics and Computer-Integrated Manufacturing

SN - 0736-5845

IS - 6

ER -