Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/267631 
Year of Publication: 
2019
Citation: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Volume:] 15 [Issue:] 3 [Publisher:] Springer [Place:] Heidelberg [Year:] 2019 [Pages:] 435-447
Publisher: 
Springer, Heidelberg
Abstract: 
In real-world applications, costs for products are not deterministic: neither static nor dynamic. They actually tend to be non-stationary and cross-correlated. To overcome this drawback, there have been some efforts by researchers to extend the Wagner-Whitin algorithm to consider stochastic costs. However, they assume that the information of probability density function of random costs exists. This paper applied a robust approach in reformulating the uncertain lot-sizing problem and used the Wagner-Whitin algorithm to find an optimal solution of its robust counterpart. The solution of the proposed algorithm in an example from the literature is compared with the classical one.
Subjects: 
Wagner-Whitin algorithm
Robust approach
Uncertainty
Non-stationary
Randomness
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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