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Produktliniengestaltung mit Genetischen Algorithmen

Author

Listed:
  • Winfried J. Steiner

    (Universität Regensburg)

  • Harald Hruschka

    (Universität Regensburg)

Abstract

Summary Designing and pricing single products or product lines is one of the most important problem areas of a firm. In this contribution, a new conjoint-based optimal product line design model with special focus on profit maximizing firms is presented. The model allows the inclusion of consumers’ preferences, counterpart products of competitors as well as variable and fixed costs. Moreover, flexible probabilistic choice modeling is supported using the conditional multinomial logit model. A genetic algorithm is proposed for solving the product line design problem and, as a result of performance evaluation, is proved to be a promising solution technique. In particular, the performance of the genetic algorithm is compared with Green and Krieger’s well-known greedy heuristic which has received much application to realworld product line problems.

Suggested Citation

  • Winfried J. Steiner & Harald Hruschka, 2002. "Produktliniengestaltung mit Genetischen Algorithmen," Schmalenbach Journal of Business Research, Springer, vol. 54(7), pages 575-601, November.
    • Handle: RePEc:spr:sjobre:v:54:y:2002:i:7:d:10.1007_bf03372688
    DOI: 10.1007/BF03372688
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    References listed on IDEAS

    as
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    Keywords

    C61; M3;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

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