Category profit optimization in retail industry: An application on haircare products

Burak Ayan, Alp Ustundag, Peiman Alipour Sarvari

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

Based on empirical insights, quantitative decision support systems and the need for more advanced models reflecting category managers' actual decision problems is inevitable. The objective of this paper is to develop retail shelf space management using simulation based optimization. The focus of this research is therefore to examine retail shelf space problems and develop an optimization model to maximize the profitability of a retail haircare products category. The numerical optimization is performed on the category profitability. Exogenous Substitution Model which is one of the assortment models to calculate category profitability is used. The focus point of the model is to decide which product should be listed on the products substitutability. Besides stock levels of products should be calculated. Also, in this model for shelf allocating, an extra decision variable is calculating positions of products. The case study is covering the application of the proposed model in a supermarket.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar245-250
Sayfa sayısı6
ISBN (Elektronik)9781509034710
DOI'lar
Yayın durumuYayınlandı - 30 Ara 2016
Etkinlik2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016 - Singapore, Singapore
Süre: 28 Eyl 201630 Eyl 2016

Yayın serisi

Adı2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016

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???event.eventtypes.event.conference???2016 IEEE International Conference on Knowledge Engineering and Applications, ICKEA 2016
Ülke/BölgeSingapore
ŞehirSingapore
Periyot28/09/1630/09/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

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