Details

Autor(en) / Beteiligte

• Nazari-Shirkouhi, Salman
• Shakouri, Hamed
• Javadi, Babak
• Keramati, Abbas

Titel

Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming

Ist Teil von

• Applied mathematical modelling, 2013-11, Vol.37 (22), p.9308-9323

Ort / Verlag

Elsevier Inc

Erscheinungsjahr

2013

Link zum Volltext

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• The aim of this paper is to solve a supplier selection problem under multi-price level and multi-product using interactive two-phase fuzzy multi-objective linear programming (FMOLP) model. The proposed model attempts to simultaneously minimize total purchasing and ordering costs, a number of defective units, and late delivered units ordered from suppliers. The piecewise linear membership functions are applied to represent the decision maker’s fuzzy goals for the supplier selection and order allocation problem, and can be resulted in more flexibility via an interactive decision-making process. To demonstrate effectiveness of the proposed model, results of applying the proposed model are shown by a numerical example. The analytical results show that the proposed approach is effective in uncertain environments and provide a reliable decision tool for integrated multi-objective supplier selection problems.