An Effective Approach for Distributed Process Planning Enabled by Event-driven Function Blocks

2007 ◽  
pp. 1-30 ◽  
Author(s):  
Lihui Wang ◽  
Hsi-Yung Feng ◽  
Ningxu Cai ◽  
Wei Jin
Keyword(s):  
Process Planning ◽  
Event Driven ◽  
Function Blocks ◽  
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.

DPP: A Distributed Process Planning Approach Using Function Blocks

2002 ◽  
Author(s):  
Lihui Wang
Keyword(s):  
Process Planning ◽  
Layer Structure ◽  
Shop Floor ◽  
Operation Planning ◽  
Agent Based ◽  
Planning Approach ◽  
Function Blocks ◽  
Distributed Process ◽  
Feature Based ◽  
Feature Based Design

The objective of this research is to develop a new methodology for intelligent and distributed process planning. The primary focus of this paper is on the architecture of the new process planning approach, using function blocks as controller language. The secondary focus is on the other supporting technologies such as machining feature-based design and agent-based decision-making. The methodology proposed for distributed process planning is based on a design-for-machining concept that can seamlessly integrate feature-based design and agent-based planning into function block-based CNC control. Different from traditional methods, the proposed approach has a two-layer structure – supervisory planning and operation planning. The supervisory planning is performed in advance at shop floor level, followed by the operation planning accomplished at run-time at machine level by open CNC controllers. Through decentralization, the distributed process planning shows promise of improving system performance within today’s continually changing shop floor environment.

Cloud-DPP for distributed process planning of mill-turn machining operations

2017 ◽  
Vol 47 ◽  
pp. 76-84 ◽  
Author(s):  
Mohammad Givehchi ◽  
Azadeh Haghighi ◽  
Lihui Wang
Keyword(s):  
Process Planning ◽  
Distributed Process ◽  
Machining 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
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