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A multi-objective decision-making system to increase supplier driven innovation using Python

Author

Listed:
  • Ahmed El Maalmi
  • Kaoutar Jenoui
  • Laila El Abbadi

Abstract

The fourth industrial revolution is contributing in an impressive way to companies' improving performances. Purchasing is the main function involved in the dynamic transformation because of its key role in the company's business process and sustainability. For this purpose, it must be the focus of the management to master its processes and their performance, especially supplier selection based on both qualitative and quantitative criteria. The paper proposes the standard implementation of a decision-making system for multi-criteria suppliers' selection. The system's solution is based on linear programming optimisation to enhance innovation between companies and suppliers. It explains the implementation method for a model based on total cost, delivery times, and a supplier's innovation criteria. A case study demonstrates this model's interest in improving purchasing function.

Suggested Citation

  • Ahmed El Maalmi & Kaoutar Jenoui & Laila El Abbadi, 2024. "A multi-objective decision-making system to increase supplier driven innovation using Python," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 23(4), pages 395-414.
    • Handle: RePEc:ids:ijmdma:v:23:y:2024:i:4:p:395-414
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