An Augmented Weighted Tchebycheff Approach for Solving a Multi-Objective Model for Supplier Selection and Oorder Allocation under Volume Discount<br/>(Case study: Supplier selection and order allocation in a drilling company)

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An Augmented Weighted Tchebycheff Approach for Solving a Multi-Objective Model for Supplier Selection and Oorder Allocation under Volume Discount
(Case study: Supplier selection and order allocation in a drilling company)

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 45243 (02)
University: Sharif University of Technology
Department: Mathematical Sciences
Advisor(s): Mahdavi-Amiri, Nezam
Abstract:
In order to achieve a compromised solution for a multi-objective problem, we make use of the Tchebycheff norm to minimize the distance from the current estimate of the objectives from the ideal point. Solutions obtained from the Tchebycheff approach are weakly efficient for multi-objective problems. For a better solution, the augmented weighted Tchebycheff norm has been proposed. Here, we use the satisficing tradeoff algorithm to solve the augmented weighted Tchebycheff problems. Since the supplier selection problem is usually a multi objective problem, we use the augmented weighted Tchebycheff method for obtaining its solutions. Numerical results are presented illustrating the performance of the algorithm on a case study from a drilling company. The programs are developed and executed using the LINGO software environment
Keywords:
Multi Objective Programming ; Supplier Selection ; Order Allocation ; Augmented Weighted Tchebysheff ; Satisficing Trade-Off Method

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