Product platform design and customization: Status and promise
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Product Line Selection and Pricing with Modularity in Design
Manufacturing & Service Operations Management
An approach to product variety management in the painted sheet metal industry
Computers and Industrial Engineering
A Column Generation Algorithm for Choice-Based Network Revenue Management
Operations Research
Applying experimental online auctions in marketing research for multi-channel firms
Expert Systems with Applications: An International Journal
On the Optimal Product Line Selection Problem with Price Discrimination
Management Science
Manufacturing & Service Operations Management
An approach to competitive product line design using conjoint data
Expert Systems with Applications: An International Journal
A PTAS for capacitated sum-of-ratios optimization
Operations Research Letters
Optimal product positioning with consideration of negative utility effect on consumer choice rule
Decision Support Systems
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Selecting and pricing product lines is an essential activity in many businesses. In recent years, quantitative approaches for such tasks have been gaining in popularity. One often-employed method is to use data from traditional rankings/ratings-based conjoint analysis and attack the product line selection problem with enumeration or heuristics. In this note, we employ a relatively new methodology known as choice-based conjoint analysis (to model customer preferences) and investigate its mathematical properties when used to model the product line selection problem. Despite some inherent limitations resulting from its aggregated formulation, we show that this more parsimonious conjoint approach has some special mathematical properties that lead to an efficient optimal algorithm to tackle the product line/price selection problem. As a result, problems of realistic size can be solved efficiently using standard, commercially available mathematical programming codes.