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2014 | 5 | nr 3 | 3--8
Tytuł artykułu

Scheduling Production Orders, Taking into Account Delays and Waste

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article addresses the problem of determining the sequence of entering orders for production in a flexible manufacturing system implementing technological operations of cutting sheet metal. Adopting a specific ranking of production orders gives rise to the vector of delays and waste in the form of incompletely used sheets. A new method was postulated for determining the optimal sequence of orders in terms of two criteria: the total cost of delays and the amount of production waste. The examples illustrate the advantages of the proposed method compared with the popular heuristic principles. (original abstract)
Rocznik
Tom
5
Numer
Strony
3--8
Opis fizyczny
Twórcy
  • University of Zielona Gora, Poland
  • Zachodniopomorski Uniwersytet Technologiczny w Szczecinie
Bibliografia
  • [1] Elmoselhy Salah A.M., Hybrid lean-agile manufacturing system technical facet, in automotive sector, Journal of Manufacturing Systems, 32, 4, 598-619, 2013.
  • [2] Inmana Anthony R., Saleb Samuel R., Green Kenneth W. Whitten Dwayne Jr., Agile manufacturing: Relation to JIT, operational performance and firm performance, Journal of Operations Management, 29, 4, 343-355, 2011.
  • [3] Jeong K.-C., Kim Y.-D., A real-time scheduling mechanism for a flexible manufacturing system: Using simulation and dispatching rules, International Journal of Production Research, 36, 9, 2609-2626, 1998.
  • [4] Ahram Tareq Z., Karwowski W., Engineering sustainable complex systems, Management and Production Engineering Review, 4, 4, 4-14, 2013.
  • [5] Byung Jun Joo, Yong Chan Choi, Paul Xirouchakis, Dispatching Rule-based Algorithms for a Dynamic Flexible Flow Shop Scheduling Problem with Timedependent Process Defect Rate and Quality Feedback, Procedia CIRP, 7, 163-168, 2013.
  • [6] Krishnan M., Chinnusamy T.R., Karthikeyan T. Performance Study of Flexible Manufacturing System Scheduling Using Dispatching Rules in Dynamic Environment, Procedia Engineering, 38, 2793-2798, 2012.
  • [7] Amol S., Metha N.K., Jain P.K., Multicriteria dynamic scheduling by swapping of dispatching rules, International Journal of Advanced Manufacturing Technology, 34, 9-10, 988-1007, 2007.
  • [8] Prakash A., Chan F.T.S., Deshmukh S.G., FMS scheduling with knowledge based genetic algorithm approach, Expert Systems with Applications, 38, 3161-3171, 2011.
  • [9] Lee K., Leung J. Y- T., Jia Z.-H., Li W., Pinedo M. L., Lin B.M.T., Fast approximation algorithms for bicriteria scheduling with machine assignment costs, European Journal of Operational Research, 238, 54-64, 2014.
  • [10] Lin Y.-K., Chang P.-C., Chen J. C., Reliability evaluation for a waste-reduction parallel-line manufacturing system, Journal of Cleaner Production, 35, 93-101, 2012.
  • [11] Sinreich D., Shnits B. A Robust FMS Control Architecture with an Embedded Adaptive Scheduling Mechanism, Journal of Manufacturing Systems, 25, 4, 301-312, 2006.
  • [12] Ouelhadj D., Petrovic S., A survey of dynamic scheduling in manufacturing systems, Journal of Scheduling, 12, 4, 417-431, 2009.
  • [13] Pacha C., Bergera T., Salleza Y., Bontea T., Adama E., Trentesauxa D., Reactive and energy-aware scheduling of flexible manufacturing systems using potential fields, Computers in Industry, 65, 3, 434+-448, 2014.
  • [14] Hoogeveen H., Multicriteria scheduling, European Journal of Operational Research, 167, 3, 592-623, 2005.
  • [15] Solimanpura M., Elmi A., A tabu search approach for cell scheduling problem with makespan criterion, International Journal of Production Economics, 141, 2, 639-645, 2013.
  • [16] Jardzioch A., Skobiej B., Analysis of Variable Changeover Times Impact on the Revenue in Manufacturing Process, Academic Journal of Manufacturing Engineering, 11, 114-117, 2013.
  • [17] Józefowska J., Zimniak A., Optimization tool for short-term production planning and scheduling, International Journal of Production Economics, 112, 1, 109-120, 2008.
  • [18] Smutnicki C., Biomimetic Optimizers for Job Scheduling, Computer Aided System Theory - EUROCAST 2011, Springer-Verlag, Berlin Heidelberg, pp. 195-202, 2012.
  • [19] Dylewski R., Jardzioch A., Optimization of the sequence of production, orders on account of minimum delay [in Polish: Optymalizacja kolejności zleceń produkcyjnych ze względu na minimalną sumę opóźnień], Pomiary Automatyka Kontrola, 6, 527-529, 2012.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171331431

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