Growth Projections and Assortment Planning of Commodity Products Across Multiple Stores: A Data Mining and Optimization Approach

DOI10.1287/ijoc.2015.0647zbMath1338.90151OpenAlexW1849949824MaRDI QIDQ2802243

Xue Bai, Sudip Bhattacharjee, Ram Gopal, Fidan Boylu

Publication date: 25 April 2016

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2015.0647

zbMATH Keywords

data miningproduct varietyassortment planningassociation rule miningsales efficiency

Mathematics Subject Classification ID

Production models (90B30)

Uses Software

• CPLEX

Cites Work

• Measuring the efficiency of decision making units
• Monopoly and product quality
• Commonality in product design: Cost saving, valuation change and cannibalization
• On the Order Fill Rate in a Multi-Item, Base-Stock Inventory System
• Assortment Planning and Inventory Decisions Under a Locational Choice Model
• Data-mining-based methodology for the design of product families
• Resource-Use Efficiency in Public Schools: A Study of Connecticut Data
• Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application
• Centralized and Competitive Inventory Models with Demand Substitution
• Some Concepts For Inventory Control Under Substitutable Demand^*
• Management of Multi-Item Retail Inventory Systems with Demand Substitution

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