A Fuzzy Multiobjective Programming Approach for Vendor Selection in Iron & Steel Enterprise
- Yuan Chen 0, Zhi-Ping Fan, Jun Lv, Jian-Yu Wang
- Corresponding Author
- Yuan Chen
0School of Business Administration, Northeastern University
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- https://doi.org/10.2991/jcis.2006.331How to use a DOI?
- Fuzzy multiobjective programming, Vendor selection, Iron & steel enterprise
- The purpose of this paper is to study vendor selection problem with multi-vendor and multi-item in iron & steel industry. Firstly, the native fuzziness, derived from some uncertainty information, of some parameters in decision-making objectives is analyzed. After that, a fuzzy multiobjective programming model is formulated, with procurement quantity as decision variable, minimizing the net cost, minimizing the quantity of raw materials rejected and delayed as fuzzy goals and buyer’s demand, buyer’s budget, buyer’s technical prescription, vendors’ supply elasticity, vendors’ capabilities as constraints. Furthermore, the fuzzy optimization problem formulation is transformed into an equivalent formulation for the purpose of optimization after the membership functions of the fuzzy objectives are known, which is then solved for procurement decision making. Finally, an example is used to illustrate the applicability of the proposed approach.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yuan Chen AU - Zhi-Ping Fan AU - Jun Lv AU - Jian-Yu Wang PY - NaN/NaN DA - NaN/NaN TI - A Fuzzy Multiobjective Programming Approach for Vendor Selection in Iron & Steel Enterprise BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press UR - https://doi.org/10.2991/jcis.2006.331 DO - https://doi.org/10.2991/jcis.2006.331 ID - ChenNaN/NaN ER -