On the Optimal Product Line Selection Problem with Price Discrimination
Management Science
Marketing Science
Optimal Algorithms for Assortment Selection Under Ranking-Based Consumer Choice Models
Manufacturing & Service Operations Management
Product Line Design and Scheduling at Intel
Interfaces
Optimal product positioning with consideration of negative utility effect on consumer choice rule
Decision Support Systems
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We take advantage of recent advances in optimization methods and computer hardware to identify globally optimal solutions of product line design problems that are too large for complete enumeration. We then use this guarantee of global optimality to benchmark the performance of more practical heuristic methods. We use two sources of data: (1) a conjoint study previously conducted for a real product line design problem, and (2) simulated problems of various sizes. For both data sources, several of the heuristic methods consistently find optimal or near-optimal solutions, including simulated annealing, divide-and-conquer, product-swapping, and genetic algorithms.