Multidimensional assortment problem with an application

Tripathy, A
Süral, Haldun
Gerchak, Y
This paper addresses the discrete multidimensional assortment problem. Assortment issues arise frequently in practice as an important design and inventory problem which simultaneously seeks the answers to two related questions: (a) Which items (or sizes of a product) to stock? (b) How much of each to stock? its discrete multidimensional version concerns itself with choosing sizes from among a discrete set of possible ones with each size being characterized by more than one dimension. Our research is motivated by an application of the problem in the distribution center of a global manufacturer of telecommunications equipment where the goal was to standardize the sizes of three-dimensional crates used to package finished items by selecting a few from among all crate sizes. The main contributions of this research are (1) modeling the assortment problem as a facility location problem, (2) devising a heuristic procedure that generates a good solution to the problem as well as a bound on the optimal solution, and (3) implementing the heuristic procedure on a PC so as to obtain solutions for actual large-scale instances of a three-dimensional problem. (C) 1999 John Wiley & Sons, Inc.


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Citation Formats
A. Tripathy, H. Süral, and Y. Gerchak, “Multidimensional assortment problem with an application,” NETWORKS, pp. 239–245, 1999, Accessed: 00, 2020. [Online]. Available: