A CBFSA approach to resolve the distributed manufacturing process planning problem in a supply chain environment

2012 ◽  
Vol 50 (2) ◽  
pp. 535-550 ◽  
Author(s):  
N. Mishra ◽  
V. Kumar ◽  
Felix T.S. Chan ◽  
M.K. Tiwari
Keyword(s):  
Supply Chain ◽  
Process Planning ◽  
Manufacturing Process ◽  
Planning Problem ◽  
Distributed Manufacturing ◽  
Manufacturing Process Planning

A Modified Genetic Algorithm for Total Processing Time Minimization in the Manufacturing Process Planning Problem

2013 ◽  
Vol 423-426 ◽  
pp. 2184-2189
Author(s):  
Can Tao Shi ◽  
Qi You Liu ◽  
Yu Zhuo Liu
Keyword(s):  
Genetic Algorithm ◽  
Process Planning ◽  
Manufacturing Process ◽  
Processing Time ◽  
Solution Space ◽  
Experimental Result ◽  
Planning Problem ◽  
Total Processing Time ◽  
Operation Sequencing ◽  
Manufacturing Process Planning

For optimization of manufacturing process planning problem in flexible manufacture system, a mathematical model is established with objective of minimizing total processing time. The genetic algorithm is applied to solve it with modifications: a segmented chromosome coding is adopted to represent the entire solution space; crossover operator and mutation operator are re-defined to make genetic algorithm suitable for the problem; a constraint adjustment algorithm is designed for the constrained operation sequencing optimization problem. The experimental result indicates that the proposed model and algorithm are feasible and effective.

Automated Reuse of Solutions in Manufacturing Process Planning Through a Case-Based Approach

1996 ◽  
Author(s):  
M. Marefat ◽  
J. Britanik
Keyword(s):  
Process Planning ◽  
Manufacturing Process ◽  
Object Oriented ◽  
Process Plan ◽  
Primary Mechanism ◽  
Prismatic Parts ◽  
Manufacturing Process Planning ◽  
Computer Aided ◽  
Effective Use ◽  
Case Based

Abstract This research focuses on the development of an object-oriented case-based process planner which combines the advantages of the variant and generative approaches to process planning. The case-based process planner operates on general 3D prismatic parts, represented by a collection of features (eg: slots, pockets, holes, etc.). Each feature subplan is developed by the case-based planner. Then the feature subplans are combined into the global process plan for the part via a hierarchical plan merging mechanism. Abstracted feature subplans correspond to cases, which are used in subsequent planning operations to solve new problems. The abstracting and storing of feature subplans as cases is the primary mechanism by which the planner learns from its previous experiences to become more effective and efficient. The computer-aided process planner is designed to be extensible and flexible through the effective use of object-oriented principles.

scholarly journals A Metaheuristic Approach to Manufacturing Process Planning in Reconfigurable Manufacturing Systems

2012 ◽  
Author(s):  
Farayi Musharavati ◽  
Napsiah Ismail ◽  
Abdel Majid S. Hamouda ◽  
Abdul Rahman Ramli
Keyword(s):  
Simulated Annealing ◽  
Process Planning ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Solution Technique ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Analytical Functions ◽  
Manufacturing Line ◽  
Manufacturing Process Planning

Proses perancangan pembuatan adalah berkaitan dengan keputusan berdasarkan pemilihan tatarajah yang optimum daripada modul proses untuk pemprosesan bahagian kerja. Untuk pembentukan semula barisan pembuatan bagi pelbagai bahagian kerja, keputusannya dipengaruhi jenis proses yang sedia ada, hubungkait jujukan pemprosesan dan juga aturan pemprosesan bahagian kerja tersebut. Keputusan proses perancangan pembuatan mungkin bercanggah, oleh itu tugasan membuat keputusan perlu mengambil kira cara setemu. Kertas kerja ini membentangkan teknik optima untuk masalah berkaitan proses perancangan pembuatan dalam rangka kerja pembuatan pembentukan semula. Proses MPP dimodelkan sebagai masalah pengoptimuman dan keadah penyelesaian yang diperolehi daripada teknik metahuristik dikenali sebagai simulasi penyepuhlindapan. Fungsi analisis bagi memodel proses perancangan pembuatan adalah berdasarkan pengetahuan mengenai proses dan sistem pembuatan serta kekangan proses. Applikasi bagi pendekatan ini ditunjukkan melalui barisan pembuatan pembentukan semula berbilang tahap siri selari. Keputusan menunjukkan penambahbaik yang signifikasi diperolehi dalam penyelesaian untuk masalah jenis ini dengan menggunakan simulasi penyepuhlindapan. Tambahan pula, teknik metaheuristik berkebolehan untuk mengenal pasti kaedah proses pembuatan yang optima berdasarkan senario pengeluaran yang diberi. Kata kunci: Metaheuristik, simulasi penyepuhlindapan, proses perancangan pembuatan, sistem pembuatan pembentukan semula, senario pembuatan Manufacturing process planning (MPP) is concerned with decisions regarding selection of an optimal configuration for processing parts. For multiparts reconfigurable manufacturing lines, such decisions are strongly influenced by the types of processes available, the relationships for sequencing the processes and the order of processing parts. Decisions may conflict, hence the decision making tasks must be carried out in a concurrent manner. This paper outlines an optimization solution technique for the MPP problem in reconfigurable manufacturing systems (RMSs). MPP is modelled in an optimization perspective and the solution methodology is provided through a metaheuristic technique known as simulated annealing. Analytical functions for modelling MPP are based on knowledge of processes available to the manufacturing system as well as processing constraints. Application of this approach is illustrated through a multistage parallel–serial reconfigurable manufacturing line. The results show that significant improvements to the solution of this type of problem can be gained through the use of simulated annealing. Moreover, the metaheuristic technique is able to identify an optimal manufacturing process plan for a given production scenario. Key words: Metaheuristics, simulated annealing, manufacturing process planning, reconfigurable manufacturing systems, production scenarios

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