Retail requires efficient decision support to manage increasing product proliferation and various consumer choice effects with limited shelf space. Our goal is to identify, describe and compare decision support systems for category planning. This research analyzes quantitative models and...

Efficiently managing limited retail shelf space becomes critical as the increase in product variety is in conflict with limited shelf space and operational costs. This paper presents a multi-product shelf space management problem, where category demand is a composite function of shelf space...

The more customer demand is impulse-driven, the more it is space-dependent and the more it is subject to variation. We investigate the corresponding problem of retail shelf-space planning when demand is stochastic and sensitive to the number and position of facings. We develop a model to...

Matching consumer demand with supply is the core task of retailers and a key lever for increasing efficiency. Consumers demand high product availability and low prices, whereas retailers increase product variety and expand their field of logistical activities. These developments increase the...

Retail requires efficient decision support to manage increasing product proliferation and various consumer choice effects with limited shelf space. Our goal is to identify, describe and compare decision support systems for category planning. This research analyzes quantitative models and...

Purpose – The purpose of this paper is to develop a holistic operations planning framework for grocery retailing. The authors aim to identify, describe and structure coherent demand and supply chain (SC) planning problems in a comprehensive architecture. Design/methodology/approach – The...