CEPP conversion and execution of process plans

Abstract The success of any industry in today’s highly competitive market is largely dependent on its ability to produce quality products, quickly and at low cost. Evaluating the effect of a product design on its manufacture is crucial in developing efficient designs. Any potential manufacturing problems detected at this stage can be corrected by modifying the design, leading to shorter product development cycles and lower production costs. This paper presents an algorithm to determine feasible tool approach directions. The algorithm is based on detecting if any part of the object obstructs the tool path. The basis for the algorithm is determining feasible approach directions and clearances around a planar polygonal face. The algorithm is applicable to both protrusions and depressions. The information is useful in performing manufacturability analysis of designs and develop process plans.

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Multi task selection including part mix, tool allocation and process plans in CNC machining centers using new binary PSO

2012 IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2012.6256439 ◽

2012 ◽

Cited By ~ 6

Author(s):

Kusum Deep ◽

Pinkey Chauhan ◽

Millie Pant

Keyword(s):

Cnc Machining ◽

Task Selection ◽

Process Plans ◽

Tool Allocation ◽

Binary Pso

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A Hybrid Simulated Annealing Algorithm to the Cell Formation Problem with Alternative Process Plans

2007 International Conference on Convergence Information Technology (ICCIT 2007) ◽

10.1109/iccit.2007.4420260 ◽

2007 ◽

Author(s):

Tai-Hsi Wu ◽

Jinn-Yi Yeh ◽

Chin-Chih Chang

Keyword(s):

Simulated Annealing ◽

Simulated Annealing Algorithm ◽

Cell Formation ◽

Cell Formation Problem ◽

Alternative Process ◽

Process Plans ◽

Formation Problem ◽

Hybrid Simulated Annealing ◽

Annealing Algorithm

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A Blackboard Architecture for Integrated Process Planning/Production Scheduling

Volume 1: Design for Manufacturing Conference ◽

10.1115/96-detc/dfm-1291 ◽

1996 ◽

Author(s):

Thomas J. Laliberty ◽

David W. Hildum ◽

Norman M. Sadeh ◽

John McA’Nulty ◽

Dag Kjenstad ◽

...

Keyword(s):

Process Planning ◽

Production Scheduling ◽

New Products ◽

Agile Manufacturing ◽

Electronic Data Interchange ◽

Integrated Process ◽

Blackboard Architecture ◽

Process Plans ◽

Mixed Initiative ◽

Planning Production

Abstract As companies increase the level of customization in their products, move towards smaller lot production and experiment with more flexible customer/supplier arrangements such as those made possible by Electronic Data Interchange (EDI), they increasingly require the ability to quickly, accurately and competitively respond to customer requests for bids on new products and efficiently work out supplier/subcontractor arrangements for these new products. This in turn requires the ability to rapidly convert standard-based product specifications into process plans and quickly integrate process plans for new orders into the existing production schedule to best accommodate the current state of the manufacturing enterprise. This paper describes IP3S, an Integrated Process Planning/Production Scheduling (IP3S) Shell for Agile Manufacturing. The IP3S Shell is designed around a blackboard architecture that emphasizes (1) concurrent development and dynamic revision of integrated process planning/production scheduling solutions, (2) the use of a common representation for exchanging process planning and production scheduling information, (3) coordination with outside information sources such as customer and supplier sites, (4) mixed initiative decision support, enabling the user to interactively explore a number of tradeoffs, and (5) portability and ease of integration with legacy systems. The system is scheduled for initial evaluation in a large and highly dynamic machine shop at Raytheon’s Andover manufacturing facility.

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An Approach for the Selection of Process Plans Based on Part Family Changes

Advances in Sustainable and Competitive Manufacturing Systems - Lecture Notes in Mechanical Engineering ◽

10.1007/978-3-319-00557-7_6 ◽

2013 ◽

pp. 65-77

Author(s):

S. M. Hasan ◽

A. Baqai

Keyword(s):

Part Family ◽

Process Plans ◽

Selection Of

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A Cooperative Co-Evolutionary Algorithm for Large-Scale Process Planning With Energy Consideration

Journal of Manufacturing Science and Engineering ◽

10.1115/1.4035960 ◽

2017 ◽

Vol 139 (6) ◽

Cited By ~ 15

Author(s):

Fei Tao ◽

Luning Bi ◽

Ying Zuo ◽

A. Y. C. Nee

Keyword(s):

Energy Efficiency ◽

Evolutionary Algorithm ◽

Process Planning ◽

Large Scale ◽

Process Selection ◽

Bee Colony ◽

Process Plans ◽

Decision Variables ◽

Energy Consideration ◽

Representation Method

Process planning can be an effective way to improve the energy efficiency of production processes. Aimed at reducing both energy consumption and processing time (PT), a comprehensive approach that considers feature sequencing, process selection, and physical resources allocation simultaneously is established in this paper. As the number of decision variables increase, process planning becomes a large-scale problem, and it is difficult to be addressed by simply employing a regular meta-heuristic algorithm. A cooperative co-evolutionary algorithm, which hybridizes the artificial bee colony algorithm (ABCA) and Tabu search (TS), is therefore proposed. In addition, in the proposed algorithm, a novel representation method is designed to generate feasible process plans under complex precedence. Compared with some widely used algorithms, the proposed algorithm is proven to have a good performance for handling large-scale process planning in terms of maximizing energy efficiency and production times.

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