Management of Multi-Item Retail Inventory Systems with Demand Substitution

By Stephen A. Smith, Narendra Agrawal. Operational Research, 2000

445 citations recorded by the source corpus.

Subfields: Management Information Systems, Marketing

View Paper: https://www.semanticscholar.org/paper/e5b0806696e435fd54b14a871dd735371814f6d1

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Citations in the corpus

Too Much of a Good Thing: The Impact of Product Variety on Operations and Sales Performance (2012, background): “Moreover, customers who are variety-seeking and prefer a large choice set are often inclined to choose new products when they are introduced (Smith and Agrawal, 2000).”
A Single‐Period Assortment Optimization Model (2007, background): “Smith and Agrawal (2000) formulate a single-period multi-item assortment optimization problem with exogenous negative binomial demand.”
Dynamic Assortment with Demand Learning for Seasonal Consumer Goods (2007, background): “More specifically, following Smith and Agrawal (2000) we assumed that Li = L for all i and considered the following three scenarios: One-item substitution.”
Joint Stocking and Product Offer Decisions Under the Multinomial Logit Model (2013, background): “Smith and Agrawal (2000) study a static substitution model that can penalize and limit the number of offered products.”
Dynamic Pricing and Inventory Control of Substitute Products (2009, background): “van Ryzin and Mahajan (1999) use this demand model to study optimal assortment and Maddah and Bish (2007) study the joint pricing, assortment, and inventory decisions.”
Multi-product inventory planning with downward substitution, stochastic demand and setup costs (2004, background): “The Product pricing, customer preferences and substitution problem has been studied by Agrawal and Smith (2000) and Sen and Zhang (1999) .”
Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application (2007, background): “Smith and Agrawal (2000) study the assortment planning problem with multiperiod base-stock inventory models under the exogenous model of substitution.”
The Effect of Product Variety and Inventory Levels on Retail Store Sales: A Longitudinal Study (2010, background): “Phantom products are a common and expensive problem in many retail settings.”
Stocking Retail Assortments Under Dynamic Consumer Substitution (2001, methodology): “This is the model used by Smith and Agrawal (1996). Let the utilities be ordered so that U 1 t > · · ·>U n+1 t (i.”
Centralized and Competitive Inventory Models with Demand Substitution (2002, background): “Smith and Agrawal [19], Agrawal and Smith [1], Mahajan and van Ryzin [7] and van Ryzin and Mahajan [18] provide more elaborate models of the consumer choice process.”
Dynamic lot size problems with one-way product substitution (2005, methodology): “First, our models can be extended to handle additional constraints that arise in real world applications, such as finite product life and limited number of conversions as discussed in Swaminathan and Kucukyavuz (2001), as well as capacity restrictions in production and conversion.”
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010, background): “(2) We will consider two problems: static and dynamic optimizations.”