 A simulated annealing algorithm for optimal supplier selection using the reliability-based total cost of ownership modelG. Kanagaraj and N. Jawahar International Journal of Procurement Management, 2009, vol. 2, issue 3, 244-266 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. Keywords: total cost of ownership; TCO; supplier selection; simulated annealing; product reliability; supplier evaluation; procurement costs; maintenance costs; downtime costs. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpman:v:2:y:2009:i:3:p:244-266 Access Statistics for this article More articles in International Journal of Procurement Management from Inderscience Enterprises Ltd |
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