Integration Framework of Process Planning based on Resource Independent Operation Summary to Support Collaborative Manufacturing

Journal Article · Tue Jun 01 00:00:00 EDT 2004 · International Journal of Computer Integrated Manufacturing

DOI:https://doi.org/10.1080/09511920310001607104· OSTI ID:930799

Kulvatunyou, Boonserm ^[1]; Wysk, Richard A ^[2]; Cho, Hyunbo ^[3]; Jones, Albert ^[4]

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1. ORNL
2. Pennsylvania State University
3. POSTECH University, South Korea
4. National Institute of Standards and Technology (NIST)

In today's global manufacturing environment, manufacturing functions are distributed as never before. Design, engineering, fabrication, and assembly of new products are done routinely in many different enterprises scattered around the world. Successful business transactions require the sharing of design and engineering data on an unprecedented scale. This paper describes a framework that facilitates the collaboration of engineering tasks, particularly process planning and analysis, to support such globalized manufacturing activities. The information models of data and the software components that integrate those information models are described. The integration framework uses an Integrated Product and Process Data (IPPD) representation called a Resource Independent Operation Summary (RIOS) to facilitate the communication of business and manufacturing requirements. Hierarchical process modeling, process planning decomposition and an augmented AND/OR directed graph are used in this representation. The Resource Specific Process Planning (RSPP) module assigns required equipment and tools, selects process parameters, and determines manufacturing costs based on two-level hierarchical RIOS data. The shop floor knowledge (resource and process knowledge) and a hybrid approach (heuristic and linear programming) to linearize the AND/OR graph provide the basis for the planning. Finally, a prototype system is developed and demonstrated with an exemplary part. Java and XML (Extensible Markup Language) are used to ensure software and information portability.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 930799
• Journal Information: International Journal of Computer Integrated Manufacturing, Vol. 17, Issue 5
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
BUSINESS
COMMUNICATIONS
DESIGN
FABRICATION
FLOORS
JAVA
LINEAR PROGRAMMING
MANUFACTURING
PLANNING
process planning
collaborative manufacturing
resource independent operation summary
resource specific process planning
graph linearization