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Autor
Golpîra Hêriş (Islamic Azad University, Sanandaj Branch, Iran)
Tytuł
Robust Bilevel Optimization for an Opportunistic Supply Chain Network Design Problem in an Uncertain and Risky Environment
Źródło
Operations Research and Decisions, 2017, vol. 27, no. 1, s. 21-41, rys., tab., bibliogr. 33 poz.
Słowa kluczowe
Zarządzanie zapasami przez dostawcę, Zarządzanie łańcuchem dostaw, Planowanie produkcji, Optymalizacja
Vendor Managed Inventory (VMI), Supply Chain Management (SCM), Production planning, Optimalization
Uwagi
summ.
Abstrakt
This paper introduces the problem of designing a single-product supply chain network in an agile manufacturing setting under a vendor managed inventory (VMI) strategy to seize a new market opportunity. The problem addresses the level of risk aversion of the retailer when dealing with the uncertainty of market related information through a conditional value at risk (CVaR) approach. This approach leads to a bilevel programming problem. The Karush-Kuhn-Tucker (KKT) conditions are employed to transform the model into a single-level, mixed-integer linear programming problem by considering some relaxations. Since realizations of imprecisely known parameters are the only information available, a data-driven approach is employed as a suitable, more practical, methodology of avoiding distributional assumptions. Finally, the effectiveness of the proposed model is demonstrated through a numerical example. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Pełny tekst
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Bibliografia
Pokaż
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Cytowane przez
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ISSN
2081-8858
Język
eng
URI / DOI
http://dx.doi.org/10.5277/ord170102
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