Function-Block Enabled Job Shop Planning and Control With Uncertainty Conferences

abstract

• The objective of this research is to develop a methodology of distributed process planning and its execution control for job shop operations. The manufacturing processes of job shop operations are rather complex, especially at shop floors where highly mixed products in small batch sizes are handled simultaneously. In addition to the fluctuating job shop operations, unpredictable events like job delay, urgent job insertion, fixture shortage, missing tool, and even machine break-down, are regularly challenging the job shop operations. Targeting the fluctuations, this research proposes a DPP (distributed process planning) approach to generate process plans that are responsive and adaptive to the changes. In this paper, a function block enabled approach is introduced. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

authors

• Wang, Lihui
• Liu, Zhenkai
• Shen, Weiming
• Lang, Sherman

status

• published 

publication date

• January 1, 2004

has subject area

• Industrial Engineering & Automation (Science Metrix)

published in

• Manufacturing Engineering and Materials Handling Engineering  Journal

presented at event

• ASME 2004 International Mechanical Engineering Congress and Exposition  Conference

keywords

• 40 Engineering
• 4014 Manufacturing Engineering

Digital Object Identifier (DOI)

• 10.1115/imece2004-59279

start page

• 383

end page

• 392

volume

• 15