A concurrent optimization model for supplier selection with fuzzy quality loss

Purpose: The purpose of this research is to develop a concurrent supplier selection model to minimize the purchasing cost and fuzzy quality loss considering process capability and assembled product specification. Design/methodology/approach: This research integrates fuzzy quality loss in the model to concurrently solve the decision making in detailed design stage and manufacturing stage. Findings: The resulted model can be used to concurrently select the optimal supplier and determine the tolerance of the components. The model balances the purchasing cost and fuzzy quality loss. Originality/value: An assembled product consists of many components which must be purchased from the suppliers. Fuzzy quality loss is integrated in the supplier selection model to allow the vagueness in final assembly by grouping the assembly into several grades according to the resulted assembly tolerance.

[1]  Jirarat Teeravaraprug,et al.  Outsourcing and vendor selection model based on Taguchi loss function , 2008 .

[2]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[3]  Byeng D. Youn Integrated Framework for Design Optimization Under Aleatory and/or Epistemic Uncertainties Using Adaptive-Loop Method , 2005, DAC 2005.

[4]  A. F. Guneri,et al.  Please Scroll down for Article International Journal of Computer Integrated Manufacturing Supplier Selection by Using a Fuzzy Approach in Just-in-time: a Case Study Supplier Selection by Using a Fuzzy Approach in Just-in-time: a Case Study , 2022 .

[5]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[6]  John R. Current,et al.  VENDOR: A STRUCTURED APPROACH TO VENDOR SELECTION AND NEGOTIATION , 2000 .

[7]  M J Tarokh,et al.  A Fuzzy Approach For Multi-Objective Supplier Selection , 2010 .

[8]  Yih-Fong Tzeng,et al.  COMBINING TAGUCHI METHOD, PRINCIPAL COMPONENT ANALYSIS AND FUZZY LOGIC TO THE TOLERANCE DESIGN OF A DUAL-PURPOSE SIX-BAR MECHANISM , 2010 .

[9]  Kun-Lin Hsieh Applying fuzzy set approach into achieving quality improvement for qualitative quality response , 2007 .

[10]  HREHOVA STELLA-VAGASKA ALENA Application of Fuzzy Principles in Evaluating Quality of Manufacturing Process , 2012 .

[11]  J. Barthélemy The seven deadly sins of outsourcing , 2003 .

[12]  Jin Wang,et al.  An optimization model for concurrent selection of tolerances and suppliers , 2001 .

[13]  Y Cao,et al.  A robust tolerance optimization method based on fuzzy quality loss , 2009 .

[14]  Cucuk Nur Rosyidi,et al.  PRIORITIZING KEY CHARACTERISTICS , 2009 .

[15]  Chinyao Low,et al.  Supplier evaluation and selection via Taguchi loss functions and an AHP , 2006 .

[16]  Surendra M. Gupta,et al.  A Fuzzy Mathematical Programming Approach for Supplier Selection in a Closed-Loop Supply Chain Network , 2007 .

[17]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[18]  Richard J. Linn,et al.  Supplier Selection Based on Process Capability and Price Analysis , 2006 .

[19]  Seyed Mohammad Seyedhosseini,et al.  Fuzzy containers allocation problem in maritime terminal , 2009 .

[20]  Jian Mao,et al.  A Robust Tolerance Design Method Based on Fuzzy Quality Loss , 2006 .

[21]  Qiuli Qin,et al.  Product quality evaluation system based on AHP fuzzy comprehensive evaluation , 2013 .

[22]  S. Mohammad Arabzad,et al.  An Integrated Model For Supplier Selection and Order Allocation; Using Shannon Entropy, SWOT and Linear Programming , 2012 .