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2021 | 31 | nr 4 | 117--127
Tytuł artykułu

Stochastic Programming Model for Production Planning with Stochastic Aggregate Demand and Spreadsheet-based Solution Heuristics

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
By discretising the stochastic demand, a deterministic nonlinear programming formulation is developed. Then, a hybrid simulation-optimisation heuristic that capitalises on the nature of the problem is designed. The outcome is an evaluation problem that is efficiently solved using a spreadsheet model. The main contribution of the paper is providing production managers with a tractable formulation of the production planning problem in a stochastic environment and an efficient solution scheme. A key benefit of this approach is that it provides quick near-optimal so lutions without requiring in-depth knowledge or significant investments in optimisation techniques and software. (original abstract)
Rocznik
Tom
31
Numer
Strony
117--127
Opis fizyczny
Twórcy
  • Gulf University for Science and Technology, Kuwait
Bibliografia
  • [1] ALTENDORFER K., FELBERBAUER T., JODLBAUER H., Effects of forecast errors on optimal utilisation in aggregate production planning with stochastic customer demand, Int. J. Prod. Res., 2016, 54 (12) 3718-3735.
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  • [7] HEITSCH H., LEOVEY H., ROMISCH W., Are quasi-Monte Carlo algorithms efficient for two-satge stochastic programs? Comput. Optim. Appl., 2016, 65 (3), 567-603.
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  • [19] SHAIKH N., PRABHU V., ABRIL D., SANCHEZ D., ARIAS J., RODRIGUEZ E., RIANO G., Kimberly-Clark Latin America builds an optimization-based system for machine scheduling, Interf., 2011, 41 (5), 455-465.
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171643061

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