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A simulated annealing algorithm for optimal supplier selection using the reliability-based total cost of ownership model

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  • G. Kanagaraj
  • N. Jawahar

Abstract

Traditional supplier evaluation and selection methods are often based on the quoted price, which ignores the significant direct and indirect costs associated with quality, delivery, use and service costs of purchased parts and materials. Total Cost of Ownership (TCO), which is the integration of quality, service and maintenance-related costs along with the initial price of the product, has evolved as a supplier selection criterion. This paper introduces a Reliability-Based Total Cost of Ownership (RBTCO) model, which incorporates procurement, maintenance and downtime costs along with the practical constraints on product reliability and weight limitation for supplier selection decisions. The mathematical formulation of the RBTCO model belongs to Nonlinear Integer Programming (NLIP). A Simulated Annealing Algorithm (SAA), a powerful tool for such problems, is developed to arrive at the optimal or near-optimal solutions.

Suggested Citation

  • G. Kanagaraj & N. Jawahar, 2009. "A simulated annealing algorithm for optimal supplier selection using the reliability-based total cost of ownership model," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 2(3), pages 244-266.
    • Handle: RePEc:ids:ijpman:v:2:y:2009:i:3:p:244-266
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    Cited by:

    1. Visani, Franco & Barbieri, Paolo & Di Lascio, F. Marta L. & Raffoni, Anna & Vigo, Daniele, 2016. "Supplier’s total cost of ownership evaluation: a data envelopment analysis approach," Omega, Elsevier, vol. 61(C), pages 141-154.

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