A Practical Method for Multi-Objective Scheduling through Soft Computing Approach(<Special Issue>Advanced Production Scheduling) A Practical Method for Multi-Objective Scheduling through Soft Computing Approach

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Abstract

・rights:日本機械学会・rights:本文データは学協会の許諾に基づきCiNiiから複製したものである・relation:isVersionOf:http://ci.nii.ac.jp/naid/110004155554/

Due to diversified customer demands and global competition, scheduling has been increasingly notified as an important problem-solving in manufacturing. Since the scheduling is considered at stage close to the practical operation in production planning, flexibility and agility in decision making should be most important in real world applications. In addition, since the final goal of such scheduling has many attributes, and their relative importance is likely changed depending on the decision environment, it is of great significance to derive a flexible scheduling through plain multi-objective optimization method. To derive such a rational scheduling, in this paper, we have applied a novel multi-objective optimization named <i>MOON<sup>2R</sup></i> (<i>MOON<sup>2</sup></i> of radial basis function) by incorporating with simulated annealing as a solution algorithm. Finally, illustrative examples are provided to outline and verify the effectiveness of the proposed method.

Journal

  • JSME International Journal Series C

    JSME International Journal Series C 46(1), 54-59, 2003-03-01

    The Japan Society of Mechanical Engineers

References:  13

Cited by:  3

Codes

  • NII Article ID (NAID)
    110004155554
  • NII NACSIS-CAT ID (NCID)
    AA11179487
  • Text Lang
    ENG
  • Article Type
    Journal Article
  • ISSN
    13447653
  • NDL Article ID
    6479421
  • NDL Source Classification
    ZN11(科学技術--機械工学・工業)
  • NDL Call No.
    Z53-Y272
  • Data Source
    CJP  CJPref  NDL  NII-ELS  IR  J-STAGE 
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