An overview of function block enabled adaptive process planning for machining. (April 2015)
- Record Type:
- Journal Article
- Title:
- An overview of function block enabled adaptive process planning for machining. (April 2015)
- Main Title:
- An overview of function block enabled adaptive process planning for machining
- Authors:
- Wang, Lihui
- Abstract:
- Highlights: This paper provides a systematic overview of distributed process planning research. It combines event-driven function blocks to CNC control for adaptive machining. It features detailed treatment of processing algorithms and procedures. A large amount of diagrams are used for the ease of understanding. The results of research findings are validated by case studies. Abstract: Small- and medium-sized enterprises (SMEs) in job-shop machining are experiencing more shop-floor uncertainties today than ever before, due to multi-tier outsourcing, customised product demands and shortened product lifecycle. In a fluctuating shop floor environment, a process plan generated in advance is often found unsuitable or unusable to the targeted resources, resulting both in wasted effort spent in early process planning and in productivity drop when idle machines have to wait for operations to be re-planned. Consequently, an adaptive process planning approach is in demand. Targeting shop-floor uncertainty, the objective of this research is to develop a novel adaptive process planning method that can generate process plans at runtime to unplanned changes. This paper, in particular, presents an overview of adaptive process planning research and a new methodology, including two-layer system architecture, generic supervisory planning, machine-specific operation planning, and adaptive setup planning. Particularly, function blocks are introduced as a core enabling technology to bridge theHighlights: This paper provides a systematic overview of distributed process planning research. It combines event-driven function blocks to CNC control for adaptive machining. It features detailed treatment of processing algorithms and procedures. A large amount of diagrams are used for the ease of understanding. The results of research findings are validated by case studies. Abstract: Small- and medium-sized enterprises (SMEs) in job-shop machining are experiencing more shop-floor uncertainties today than ever before, due to multi-tier outsourcing, customised product demands and shortened product lifecycle. In a fluctuating shop floor environment, a process plan generated in advance is often found unsuitable or unusable to the targeted resources, resulting both in wasted effort spent in early process planning and in productivity drop when idle machines have to wait for operations to be re-planned. Consequently, an adaptive process planning approach is in demand. Targeting shop-floor uncertainty, the objective of this research is to develop a novel adaptive process planning method that can generate process plans at runtime to unplanned changes. This paper, in particular, presents an overview of adaptive process planning research and a new methodology, including two-layer system architecture, generic supervisory planning, machine-specific operation planning, and adaptive setup planning. Particularly, function blocks are introduced as a core enabling technology to bridge the gap between computer systems and CNC systems for adaptive machining. … (more)
- Is Part Of:
- Journal of manufacturing systems. Volume 35(2015)
- Journal:
- Journal of manufacturing systems
- Issue:
- Volume 35(2015)
- Issue Display:
- Volume 35, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 35
- Issue:
- 2015
- Issue Sort Value:
- 2015-0035-2015-0000
- Page Start:
- 10
- Page End:
- 25
- Publication Date:
- 2015-04
- Subjects:
- Process planning -- Function block -- Job-shop machining -- Uncertainty -- Adaptability
Manufacturing processes -- Periodicals
Production engineering -- Data processing -- Periodicals
Robots, Industrial -- Periodicals
Production, Technique de la -- Informatique -- Périodiques
Robots industriels -- Périodiques
Electronic journals
670.42 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02786125 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jmsy.2014.11.013 ↗
- Languages:
- English
- ISSNs:
- 0278-6125
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5011.650000
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British Library HMNTS - ELD Digital store - Ingest File:
- 6356.xml