Retail store operations: Literature review and research directions

S Mou, DJ Robb, N DeHoratius - European Journal of Operational …, 2018 - Elsevier
In the digital age, retail store operations face a variety of novel challenges and complexities.
We review 255 papers on retail store operations from 32 operations research, management …

Taking stock of consumer returns: A review and classification of the literature

H Abdulla, M Ketzenberg… - Journal of Operations …, 2019 - Wiley Online Library
Coincident with the rapid growth of consumer returns and their corresponding importance in
the retail marketplace, academic interest in the area of consumer return policy design has …

[图书][B] Revenue management and pricing analytics

G Gallego, H Topaloglu - 2019 - Springer
Revenue management can be defined as a data-driven, computerized system to support the
tactical pricing of perishable assets at the micro-market level to maximize expected …

Omnichannel retail operations with consumer returns and order cancellation

J Zhang, Q Xu, Y He - Transportation Research Part E: Logistics and …, 2018 - Elsevier
In this paper, an analytical study is performed on an online retailer's omnichannel retail
operations in which consumers can cancel their order before payment and return the …

Assortment planning: Review of literature and industry practice

AG Kök, ML Fisher, R Vaidyanathan - Retail supply chain management …, 2015 - Springer
A retailer's assortment is defined by the set of products carried in each store at each point in
time. The goal of assortment planning is to specify an assortment that maximizes sales or …

Does the buy-online-and-pick-up-in-store strategy with pre-orders benefit a retailer with the consideration of returns?

X Shi, C Dong, TCE Cheng - International Journal of Production Economics, 2018 - Elsevier
Retailers nowadays increasingly adopt the buy-online-and-pick-up-in-store (BOPS) strategy
with pre-orders for order fulfillment. In this paper we study such a strategy for a retailer in the …

Predicting product return volume using machine learning methods

H Cui, S Rajagopalan, AR Ward - European Journal of Operational …, 2020 - Elsevier
In 2015, US consumers returned goods worth $261 billion and the return rates for online
sales sometimes exceeded 30%. Manufacturers and retailers have an interest in predicting …

The impact of consumer returns on the multichannel sales strategies of manufacturers

P Letizia, M Pourakbar… - Production and operations …, 2018 - journals.sagepub.com
Manufacturers adopt a variety of channels for the sale of their products in the attempt to
deliver the highest possible value to end consumers. For instance, a manufacturers' retail …

The exponomial choice model: A new alternative for assortment and price optimization

A Alptekinoğlu, JH Semple - Operations Research, 2016 - pubsonline.informs.org
We investigate the use of a canonical version of a discrete choice model due to Daganzo
(1979)[Daganzo C (1979) Multinomial Probit: The Theory and Its Application to Demand …

Optimal and competitive assortments with endogenous pricing under hierarchical consumer choice models

AG Kök, Y Xu - Management Science, 2011 - pubsonline.informs.org
This paper studies assortment planning and pricing for a product category with
heterogeneous product types from two brands. We model consumer choice using the nested …