Design of an integrated supplier selection and multi-echelon distribution inventory model in a built-to-order supply chain environment

The paper deals with the development of an integrated supplier selection and multi-echelon distribution inventory model (MEDIM) for the original equipment manufacturing company in a built-to-order supply chain environment using fuzzy analytical hierarchy process (FAHP) and a genetic algorithm. The main objective is to design the integrated qualitative decision-making of the supplier selection model using FAHP with that of the quantitative mathematical model for the distribution inventory supply chain using a genetic algorithm to the built-to-order environment. The proposed model is validated by considering the case study in a tyre industry in Southern India. The software used for programming is C++ language.

[1]  Shanling Li,et al.  Operational design of a supply chain system using the Taguchi method, response surface methodology, simulation, and optimization , 2004 .

[2]  Eric Sucky,et al.  Inventory management in supply chains: A bargaining problem , 2005 .

[3]  Laura M. Birou,et al.  Build‐to‐order and just‐in‐time as predictors of applied supply chain knowledge and market performance , 2005 .

[4]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[5]  Ashraf Labib,et al.  A Fuzzy Quality Function Deployment (FQFD) model for deriving optimum targets , 2001 .

[6]  Giovanni Miragliotta,et al.  Complexity management and supply chain performance assessment. A field study and a conceptual framework , 2004 .

[7]  I. Chen,et al.  Towards a theory of supply chain management: the constructs and measurements , 2004 .

[8]  Y. Ku,et al.  Introduction to fuzzy arithmetic—theory and applications : Arnold Kaufmann and Madan M. Gupta. 351 pages, diagrams, figures. Van Nostrand Reinhold Company, New York, 1985. , 1986 .

[9]  Moutaz Khouja,et al.  The impact of quality considerations on material flow in two-stage inventory systems , 2003 .

[10]  Gary W. Dickson,et al.  AN ANALYSIS OF VENDOR SELECTION SYSTEMS AND DECISIONS , 1966 .

[11]  L. Ellram.  The Supplier Selection Decision in Strategic Partnerships , 1990 .

[12]  D. Chang.  Applications of the extent analysis method on fuzzy AHP , 1996 .

[13]  Madan M. Gupta,et al.  Introduction to Fuzzy Arithmetic , 1991 .

[14]  Caroline M. Eastman,et al.  Response: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..

[15]  Jiuh-Biing Sheu,et al.  A hybrid fuzzy-based approach for identifying global logistics strategies , 2004 .

[16]  V. M. Rao Tummala,et al.  An application of the AHP in vendor selection of a telecommunications system , 2001 .

[17]  Wei-yu Kevin Chiang,et al.  Production, Manufacturing and Logistics Managing inventories in a two-echelon dual-channel supply chain , 2005 .

[18]  A. Gunasekaran,et al.  Software Agents: Enabling Dynamic Supply Chain Management for a Build to Order Product Line , 2002, International Conference on Internet Computing.

[19]  Fong-Yuen Ding,et al.  Using data envelopment analysis to compare suppliers for supplier selection and performance improvement , 2000 .

[20]  Srinivas Talluri,et al.  Production , Manufacturing and Logistics Vendor evaluation with performance variability : A max – min approach , 2003 .

[21]  Rajan Batta,et al.  On the use of genetic algorithms to solve location problems , 2002, Comput. Oper. Res..

[22]  Mitsuo Gen,et al.  A genetic algorithm approach to the bi-criteria allocation of customers to warehouses , 2003 .

[23]  Y. B. Park,et al.  An integrated approach for production and distribution planning in supply chain management , 2005 .

[24]  M. Braglia,et al.  Vendor Selection Using Principal Component Analysis , 2000 .

[25]  C. Poirier,et al.  Using Models to Improve the Supply Chain , 2003 .

[26]  Yu Jing,et al.  A discussion on Extent Analysis Method and applications of fuzzy AHP , 1999, Eur. J. Oper. Res..

[27]  G. C. I. Lin,et al.  Critical success factor framework for the implementation of integrated-enterprise systems in the manufacturing environment , 2004 .

[28]  Ali Gharbi,et al.  Planning tools for managing the supply chain , 2004, Comput. Ind. Eng..

[29]  Ludmil Mikhailov,et al.  Deriving priorities from fuzzy pairwise comparison judgements , 2003, Fuzzy Sets Syst..

[30]  Sven Axsäter.  A Simple Decision Rule for Decentralized Two-Echelon Inventory Control , 2005 .