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2016 | t. 17, z. 12, cz. 2 Systemy logistyczne w gospodarowaniu | 105-119
Tytuł artykułu

Simulated Hardening Algorithm Application in Advanced Planning and Scheduling

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EN
Abstrakty
EN
This paper covers the problem of job scheduling for two-machine flow-shop system with unlimited transportation capability. The scope of the research complies with functionality of the decision support system (DSS) as a part of advanced planning and scheduling (APS). The 5 sets of random 500 jobs are introduced as the input sample. The simulated annealing (SA) algorithm with two variants of probability functions is used for delivering reference results. A new simulated hardening (SH) algorithm derived from SA is introduced and examined. Two optimization criteria are taken into consideration: makespan and profit. The results obtained with the two algorithms are compared and their usefulness in the problem presented is estimated. (original abstract)
Twórcy
  • West Pomeranian University of Technology Szczecin, Poland
  • West Pomeranian University of Technology Szczecin, Poland
Bibliografia
  • Abdullah M., Othman M. (2014), Simulated annealing approach to cost-based multi-quality of service job scheduling in cloud computing enviroment, "American Journal of Applied Sciences", 11(6).
  • Bessedik M., Benbouzid-Si Tayeb F., Cheurfi H., Blizak A. (2016), An immunity-based hybrid genetic algorithms for permutation flowshop scheduling problems, "International Journal of Advanced Manufacturing Technology", 85.
  • Caliş B., Bulkan S. (2015), A research survey: review of AI solution strategies of job shop scheduling problem, "Journal of Intelligent Manufacturing", 26(5).
  • Černy V. (1985), Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm, "Journal of Optimization Theory and Applications", Volume 45.
  • Dzikuć M., Kuzdowicz P. (2006), ProALPHA APS - The Advanced tool for multi-resource-planning and realtime-optimization in middle-size enterprises, Zielona Góra, University of Zielona Góra.
  • Gao C., Gao Y., Lv S. (2016), Improved simulated annealing algorithm for flexible job shop scheduling problems, Yinchuan, Institute of Electrical and Electronics Engineers Inc.
  • Gao K. et al. (2016), An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time, "Expert Systems with Applications", 65.
  • Khachaturyan A., Semenovskaya S., Vainshtein B. (1979), Statistical-Thermodynamic Approach to Determination of Structure Amplitude Phases, "Sov.Phys. Crystallography", 24(5).
  • Khachaturyan A., Semenovskaya S., Vainshtein B. (1981), The Thermodynamic Approach to the Structure Analysis of Crystals, "Acta Crystallographica", Volume A37.
  • Kia R. et al. (2012), Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing, "Computers and Operations Research", 39(11).
  • Petrović M., Vuković N., Mitić M., Milijković Z. (2016), Integration of process planning and scheduling using chaotic particle swarm optimization algorithm, "Expert Systems with Applications", 64,.
  • Wang X., Xie X., Cheng T. (2013), A modified artificial bee colony algorithm for order acceptance in two-machine flow shops, "International Journal of Production Economics", 141(1).
  • Woo K. (2014), A job shop scheduling game with GA-based evaluation, "Applied Mathematics and Information Sciences", 8(5).
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171477493
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