NDLI: Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Wang, Lihui Cai, Ningxu Feng, Hsin-Yung
Copyright Year	2006
Abstract	This paper presents an overview of our DPP (distributed process planning) approach, covering DPP concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring enabled by the function blocks. A two-layer structure of Supervisory Planning and Operation Planning is proposed in DPP to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at shop level, whereas the operation planning is carried out at runtime at machine level. This dynamic decision-making is facilitated by a set of resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the paper. The DPP approach and algorithms are further verified through a case study before drawing conclusions. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.
Sponsorship	Manufacturing Engineering Division
Starting Page	595
Ending Page	604
Page Count	10
File Format	PDF
ISBN	0791847624
DOI	10.1115/MSEC2006-21072
e-ISBN	0791837868
Volume Number	Manufacturing Science and Engineering, Parts A and B
Conference Proceedings	ASME 2006 International Manufacturing Science and Engineering Conference
Language	English
Publisher Date	2006-10-08
Publisher Place	Ypsilanti, Michigan, USA
Access Restriction	Subscribed
Subject Keyword	Manufacturing uncertainty Process planning Machining features Job shop operations Function blocks Uncertainty Manufacturing Machine shops Production planning Machining
Content Type	Text
Resource Type	Article

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