Abstract
In any large organization, millions of dollars are spent on outsourcing. Most large organizations are outsourcing those activities that are either not cost efficient if done in-house or not core to their businesses. One of the most critical steps in outsourcing is vendor selection, which is a strategic decision. We model the vendor selection problem as a multi-objective optimization problem, where one or more buyers order multiple products from different vendors in a multiple sourcing network. Price, lead-time and rejects (quality) are explicitly considered as three conflicting criteria that have to be minimized simultaneously. A pricing model under quantity discounts is used to represent the purchasing cost. We present and compare several multi-objective optimization methods for solving the vendor selection problem. The methods include weighted objective, goal programming and compromise programming. The multicriteria models and the methods are illustrated using a realistic example. Value path approach is used to compare the results of different models.
Original language | English (US) |
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Pages (from-to) | 3725-3737 |
Number of pages | 13 |
Journal | Computers and Operations Research |
Volume | 34 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2007 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- Modeling and Simulation
- Management Science and Operations Research