Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10456
Title: Multi-plant manufacturing assortment planning in the presence of transshipments
Authors: Çömez-Dolgan, Nagihan
Dağ, Hilal
Fescioglu-Ünver, Nilgun
Sen, Alper
Keywords: Strategic planning
Assortment planning
Product variety
Transshipment
Inventory sharing
Supply Chain
Automotive Products
Dynamic Assortment
Inventory Systems
Demand Estimation
Logit Model
Optimization
Management
Benefits
Substitution
Publisher: Elsevier
Abstract: In this study, we consider the assortment planning problem of a manufacturing firm with multiple plants. Making a plant capable of producing a product is costly, therefore the firm cannot manufacture every product in every plant. In case a customer's order in a particular region is not available in the closest plant, another plant can ship the product using transshipment, but at an extra transportation cost. If a demanded product is not produced in any plant, substitution from first choice to a second choice is also considered, which can be either satisfied by the closest plant, or by transshipment. The problem is to jointly determine assortments in all plants such that total profit after assortment and transshipment costs is maximized. The resulting problem is complex as transshipments and substitutions are intertwined to affect assortment decisions. We show that the optimal assortments are nested, i.e., the assortment of a plant with a smaller market share is a subset of the assortment of a plant with a larger share. The common assortment of all locations is shown to be in the popular set (i.e., no leapfrogging in product popularities), and a sufficient condition on substitution rate is derived for each individual assortment to be in the popular set. We conduct an extensive numerical study to understand the effects of allowing transshipments on resulting assortments. Moreover, we introduce approximate assortment planning al-gorithms that benefit from the derived structural properties, which are shown to generate near-optimal assortments in a broad range of instances tested. & COPY; 2023 Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.ejor.2023.03.026
https://hdl.handle.net/20.500.11851/10456
ISSN: 0377-2217
1872-6860
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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