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2014 | 5 | nr 2 | 20--26
Tytuł artykułu

Exponential Smoothing for Multi-Product Lot-Sizing with Heijunka and Varying Demand

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Here we discuss a multi-product lot-sizing problem for a job shop controlled with a heijunka box. Demand is considered as a random variable with constant variation which must be absorbed somehow by the manufacturing system, either by increased inventory or by flexibility in the production. When a heijunka concept (production leveling) is used, fluctuations in customer orders are not transferred directly to the manufacturing system allowing for a smoother production and better production capacity utilization. The problem rather is to determine a tradeoff between the variability in the production line capacity requirement and the inventory level. (original abstract)
Rocznik
Tom
5
Numer
Strony
20--26
Opis fizyczny
Twórcy
  • Zachodniopomorski Uniwersytet Technologiczny w Szczecinie
  • Ecole des Mines de Saint-Etienne
  • Ecole des Mines de Saint-Etienne
Bibliografia
  • [1] Liker J.K., The Toyota way, 14 management principles from the worlds greatest manufacturer, 1st edn., New York: McGraw-Hill, 2004.
  • [2] Dolgui A., Proth J.M., Supply chain engineering: useful methods and techniques, London: Springer, 2010.
  • [3] Dolgui A., Proth J.M., Les systémes de production modernes, 2 volumes, London: Hermés Sciences, 2006.
  • [4] Dennis P., Lean Production Simplified, 2nd ed., Productivity Press, 2007.
  • [5] Rother R., Harris M., Creating continuous flow: An action guide for managers, engineers and production associates, Lean Enterprise Institute (LEI), 2002.
  • [6] Rother M., Toyota Kata: Managing People for Continuous Improvement and Superior Results, New York: McGraw-Hill, 2009.
  • [7] Licker J.K., Toyota fieldbook, New York: McGraw-Hill, 2005.
  • [8] Bocewicz G., Banaszak Z., Declarative approach to cyclic steady states space refinement: periodic processes scheduling, International Journal of Advanced Manufacturing Technology, 67, 1-4, 137-155, 2013.
  • [9] Powell D., Alfnes E., Semini M., The Application of Lean Production Control Methods within a Process-Type Industry?: The Case of Hydro Automotive Structures, IFIP International Federation for Information Processing, 243-250, 2010.
  • [10] Pool A.,Wijngaard J., van der Zee D.-J., Lean planning in the semi-process industry, a case study, International Journal of Production Economics, 131, 1, 194-203, 2009.
  • [11] Hüttmeir A., de Treville S., van Ackere A., Monnier L., Prenninger J., Trading off between heijunka and just-in-sequence, International Journal of Production Economics, 118, 2, 501-507, 2009.
  • [12] Abdulmalek F.A., Rajgopal J., Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study, International Journal of Production Economics, 107, 1, 223-236, 2007.
  • [13] Matzka J., Di Mascolo M., Furmans K., Buffer sizing of a Heijunka Kanban system, Journal of Intelligent Manufacturing, 23, 1, 49-60, 2012.
  • [14] Runkler T.A., Controlling discrete manufacturing processes using Kanban and Heijunka approaches, 9th IEEE International Conference on Industrial Informatics, 181-186, 2011.
  • [15] Bohnen F., Maschek T., Deuse J., Leveling of low volume and high mix production based on a Group Technology approach, CIRP Journal of Manufacturing Science and Technology, 4, 3, 247-251, 2011.
  • [16] Holt C.C., Forecasting Trends and Seasonal by Exponentially Weighted Averages, International Journal of Forecasting, 20, 1, 5 -10, 2004.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171327313

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