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Information Journal Paper

Title

INTEGRATED APPROACH OF PROCESS SCHEDULING AND PLANNING BASED ON COMBINING FUZZY KNOWLEDGE BASE AND META HEURISTIC METHOD

Pages

  135-161

Abstract

 Process planning involves determining the most suitable and efficient manufacturing (assembly) processes and their sequence in order to produce a product (part). These processes should be compatible with required attributes in product design documentation. PROCESS PLANNING and SCHEDULING optimization is done with Considering qualitative parameters which are affective on job shop and flexible system. Fuzzy Inference System and META-HEURISTIC ALGORITHMs with multiple objective and goal functions are used to solving problem. Objective functions include minimization of cost and time of processing parts and maximizing the utility of the process design. based on the illustrated numerical example simulated annealing algorithm has better efficiency than imperialist competitive algorithm, particle swarm, bee colony.

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    APA: Copy

    MOHAMADI ZANJIRANI, DARUSH, ESMAILIAN, MAJID, & JOKAR, SAEEDEH. (2017). INTEGRATED APPROACH OF PROCESS SCHEDULING AND PLANNING BASED ON COMBINING FUZZY KNOWLEDGE BASE AND META HEURISTIC METHOD. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 14(43 ), 135-161. SID. https://sid.ir/paper/213232/en

    Vancouver: Copy

    MOHAMADI ZANJIRANI DARUSH, ESMAILIAN MAJID, JOKAR SAEEDEH. INTEGRATED APPROACH OF PROCESS SCHEDULING AND PLANNING BASED ON COMBINING FUZZY KNOWLEDGE BASE AND META HEURISTIC METHOD. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2017;14(43 ):135-161. Available from: https://sid.ir/paper/213232/en

    IEEE: Copy

    DARUSH MOHAMADI ZANJIRANI, MAJID ESMAILIAN, and SAEEDEH JOKAR, “INTEGRATED APPROACH OF PROCESS SCHEDULING AND PLANNING BASED ON COMBINING FUZZY KNOWLEDGE BASE AND META HEURISTIC METHOD,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 14, no. 43 , pp. 135–161, 2017, [Online]. Available: https://sid.ir/paper/213232/en

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