Cloud-Enabled Distributed Process Planning

2017 ◽  
pp. 105-123 ◽  
Author(s):  
Lihui Wang ◽  
Xi Vincent Wang
Keyword(s):  
Process Planning ◽  
Distributed Process

Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty

2006 ◽  
Author(s):  
Lihui Wang ◽  
Ningxu Cai ◽  
Hsin-Yung Feng
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Layer Structure ◽  
Dynamic Decision Making ◽  
Machining Process ◽  
Operation Planning ◽  
Planning Approach ◽  
Job Shop Operations ◽  
Function Blocks ◽  
Distributed Process

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.

Architecture design for distributed process planning

2003 ◽  
Vol 22 (2) ◽  
pp. 99-115 ◽  
Author(s):  
Lihui Wang ◽  
Hsi-Yung Feng ◽  
Ningxu Cai
Keyword(s):  
Process Planning ◽  
Architecture Design ◽  
Distributed Process

Function-Block Enabled Job Shop Planning and Control With Uncertainty

2004 ◽  
Author(s):  
Lihui Wang ◽  
Zhenkai Liu ◽  
Weiming Shen ◽  
Sherman Lang
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Function Block ◽  
Planning And Control ◽  
Planning Approach ◽  
Job Shop Operations ◽  
Batch Sizes ◽  
Distributed Process ◽  
Generate Process ◽  
And Control

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.

A Novel Process Planning Architecture for Product-Based Manufacture

1995 ◽  
Vol 209 (4) ◽  
pp. 267-276 ◽  
Author(s):  
P G Maropoulos
Keyword(s):  
Process Planning ◽  
Production Control ◽  
Process Development ◽  
New Technology ◽  
Future Generation ◽  
Planning Systems ◽  
Natural Time ◽  
Distributed Process ◽  
Product And Process ◽  
Design And Production

This paper presents a new process planning architecture which is compatible with the integrated product and process development of concurrent engineering and interfaces with production control. The architecture consists of three levels, namely aggregate, management and detailed (AMD), which are defined according to the granularity of process modelling considerations, the interfacing requirements with design and production control, and the natural time cycle of the corresponding activities. The essential functionality at each level is also discussed and the new technology requirements are identified. The modularity of AMD will allow the generation of flexible, customized process planning systems to meet specific industrial requirements, enhance the operation of modules at each level and reduce the overall system complexity. However, the most important benefits offered by the AMD architecture are the establishment of time-dependent interfaces with design and production control and the formation of a modular structure that will facilitate the development of future generation, distributed process planning systems.

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