Suitability Assessment of Lean Kitting Assembly through Fuzzy Based Simulation Model

The success of an industry depends on its product‟s quality, cost and delivery time. So, now a days all manufacturers are trying to implement new manufacturing methods for their production process. In this paper, an attempt has been made to find the suitability of new assembly method known as Lean Kitting assembly for a leading two wheeler manufacturer in India. Lean Kitting means supplying assembly station with kit of components. Even though lot of Multi Criteria Decision Making (MCDM) models like AHP, ANP and PVA are available, a Fuzzy Based Simulation (FBS) model is necessary to assure the suitability by considering important factors and simulate the factors with data given by the experts in those fields. This paper mainly focused on the modeling of a „Fuzzy Based Simulation‟ for finding the suitability of the Lean Kitting system by considering the following important factors: Work In Process inventory, Floor space required, operator walking distance.

[1]  Pamela McCauley,et al.  Intelligent agent characterization and uncertainty management with fuzzy set theory: a tool to support early supplier integration , 1999, Journal of Intelligent Manufacturing.

[2]  Jayant Rajgopal,et al.  Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study , 2007 .

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

[4]  Cevriye Gencer,et al.  Analytic network process in supplier selection: A case study in an electronic firm , 2007 .

[5]  Xiang Li,et al.  A Sufficient and Necessary Condition for Credibility Measures , 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[6]  Caroline C. Hayes,et al.  A comparison of two multi-criteria decision-making techniques , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[7]  Manoj Kumar Tiwari,et al.  Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach , 2006, Eur. J. Oper. Res..

[8]  David L. Olson,et al.  Supply chain risk, simulation, and vendor selection , 2008 .

[9]  Mahmoud Houshmand,et al.  An extended model of design process of lean production systems by means of process variables , 2006 .

[10]  Ching-Torng Lin,et al.  Agility index in the supply chain , 2006 .

[11]  Veselka Boeva,et al.  Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment , 2006, Inf. Sci..

[12]  S. Chopra,et al.  Supply Chain Management: Strategy, Planning & Operation , 2007 .

[13]  Leon F. McGinnis,et al.  Kitting versus line stocking: A conceptual framework and a descriptive model☆ , 1992 .

[14]  Lars Medbo,et al.  Assembly work execution and materials kit functionality in parallel flow assembly systems , 2003 .

[15]  Zeger Degraeve,et al.  An evaluation of vendor selection models from a total cost of ownership perspective , 2000, Eur. J. Oper. Res..

[16]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[17]  Yian-Kui Liu,et al.  Expected value of fuzzy variable and fuzzy expected value models , 2002, IEEE Trans. Fuzzy Syst..

[18]  Filip Roodhooft,et al.  VENDOR SELECTION AND EVALUATION AN ACTIVITY BASED COSTING APPROACH , 1997 .

[19]  Manoj Kumar,et al.  A fuzzy goal programming approach for vendor selection problem in a supply chain , 2004, Comput. Ind. Eng..

[20]  Katsuhisa Ohno,et al.  Performance evaluation of SCM in JIT environment , 2008 .

[21]  Massimo Gastaldi,et al.  Dynamic analysis of the performance of a flexible manufacturing system: a real case application , 1996 .

[22]  M. Braglia,et al.  A quality assurance‐oriented methodology for handling trade‐offs in supplier selection , 2000 .

[23]  Mats I. Johansson,et al.  Design and performance of kitting and order picking systems , 1995 .

[24]  J. Winch,et al.  Supply Chain Management: Strategy, Planning, and Operation , 2003 .

[25]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[26]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[27]  K. Tan,et al.  Supplier Selection and Assessment: Their Impact on Business Performance , 2002 .

[28]  S. Talluri,et al.  A Model for Strategic Supplier Selection , 2002 .

[29]  Mohammad Taghi Taghavifard,et al.  A New Framework for Evaluation and Prioritization of Suppliers using a Hierarchical Fuzzy TOPSIS , 2008 .

[30]  Shimon Y. Nof,et al.  Design method of robot kitting system for flexible assemble , 1991, Robotics Auton. Syst..

[31]  Dilay Çelebi,et al.  An integrated neural network and data envelopment analysis for supplier evaluation under incomplete information , 2008, Expert Syst. Appl..

[32]  Mufide Banar,et al.  Choosing a municipal landfill site by analytic network process , 2007 .

[33]  Huan Neng Chiu,et al.  Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships , 2008, Inf. Sci..

[34]  Raja G. Kasilingam,et al.  Selection of vendors—a mixed-integer programming approach , 1996 .