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2016 | 7 | nr 1 | 21--32
Tytuł artykułu

Off-Line and Dynamic Production Scheduling - a Comparative Case Study

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A comprehensive case study of manufacturing scheduling solutions development is given. It includes highly generalized scheduling problem as well as a few scheduling modes, methods and problem models. The considered problem combines flexible job shop structure, lot streaming with variable sublots, transport times, setup times, and machine calendars. Tabu search metaheuristic and constraint programming methods have been used for the off-line scheduling. Two dynamic scheduling methods have also been implemented, i.e., dispatching rules for the completely reactive scheduling and a multi-agent system for the predictive-reactive scheduling. In these implementations three distinct models of the problem have been used, based on: graph representation, optimal constraint satisfaction, and Petri net formalism. Each of these solutions has been verified in computational experiments. The results are compared and some findings about advantages, disadvantages, and suggestions on using the solutions are formulated. (original abstract)
Rocznik
Tom
7
Numer
Strony
21--32
Opis fizyczny
Twórcy
  • Rzeszów University of Technology
  • Rzeszów University of Technology
Bibliografia
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  • [5] Jun-jie B., Yi-guang G., Ning-sheng W., Dun-bing T., An Improved PSO Algorithm for Flexible Job Shop Scheduling with Lot-Splitting, International Workshop on Intelligent Systems and Applications, 2009.
  • [6] Al-Hinai N., ElMekkawy T.Y., Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm, Int. J. Prod. Econ., 132, 2, 279-291, 2011.
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  • [8] He W., Sun D.-h., Scheduling flexible job shop problem subject to machine breakdown with route changing and right-shift strategies, Int. J. Adv. Manuf. Tech, 66, 1, 501-514, 2013.
  • [9] Li J.-Q., Pan Q.-K., Tasgetiren M.F., A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities, Appl. Math. Model., 38, 3, 11111132, 2014.
  • [10] Wang S., Yu J., An effective heuristic for flexible job- shop scheduling problem with maintenance activities, Comput. Ind. Eng., 59, 3, 436-447, 2010.
  • [11] Zribi N., Borne P., Hybrid Genetic Algorithm for the Flexible Job-Shop Problem Under Maintenance Constraints, Advances in Natural Computation, Wang L., Chen K., Ong Y. [Eds.], LNCS 3612, Springer Berlin Heidelberg, 259-268, 2005.
  • [12] Bożejko W., Uchroński M., Wodecki M., Multi-machine scheduling problem with setup times, Archives of Control Science, 22, 4, 441-449, 2012.
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  • [14] Kunadilok J., Heuristics for Scheduling Reentrant Flexible Job Shops with Sequence-dependent Setup Times and Limited Buffer Capacities, PhD Thesis, Clemson University, 2007.
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  • [22] Lou P., Liu Q., Zhou Z., Wang H., Sun S.X., Multi-agent-based proactive-reactive scheduling for a job shop, Int. J. Adv. Manuf. Tech., 59, 1-4, 311-324, 2012.
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  • [31] Nouiri M., Bekrar A., Jemai A., Niar S., Ammari A.C., An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem, J. Intell. Manuf., 1-13, 2015 [published online, DOI: 10.1007/s10845-015-1039-3].
  • [32] Bożek A., Using Petri nets, multi-agent techniques and computational intelligent methods in production planning and control (in Polish), PhD thesis, Rzeszów University of Technology, 2015.
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  • [34] Watson J.-P., Beck J.C., Howe A.E., Whitley L.D., Problem difficulty for tabu search in job-shop scheduling, Artif. Intell., 143, 2, 189-217, 2003.
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171419534

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