Development of Decision Support System for Ranking of Performance Indicators in JIT based Manufacturing using Saw Technique

Rishabh Ranjan*, P.C. Tewari**
* Research Scholar, Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India.
** Professor, Department of Mechanical Engineering, N.I.T. Kurukshetra, Haryana, India.
Periodicity:September - November'2016
DOI : https://doi.org/10.26634/jmgt.11.2.8186

Abstract

The increasing intensity of competition in global markets in the present time is the major challenge that organizations are facing, especially the manufacturing ones. To remain at the competitive edge, the companies need to be continuously striving for innovative and effective material management techniques. Just In Time (JIT) is one of such material management techniques that increases the productivity of the enterprise by elimination of all kind of wastes through continuous improvement. This paper deals with the identification and ranking of performance indicators based on several criteria for successful JIT Implementation in Manufacturing Sector. A deterministic quantitative model based on Simple Additive Weighting (SAW) technique has been developed for identifying and ranking the performance indicators. This concept has not been applied previously in the available literature for the selection problem. Six performance indicators, namely-Lead Time Reduction, Productivity, Profit, Product Quality, Difficulty in Implementation and Inventory have been considered for this study. Improper selection could affect a company's competitiveness in terms of the Productivity of its facilities and Quality of its products.

Keywords

Just In Time (JIT), Simple Additive Weighting (SAW), Productivity, Quality.

How to Cite this Article?

Ranjan,R., and Tewari, P.C. (2016). Development of Decision Support System for Ranking of Performance Indicators in JIT based Manufacturing using Saw Technique. i-manager’s Journal on Management, 11(2), 26-31. https://doi.org/10.26634/jmgt.11.2.8186

References

[1]. Agarwal P, Sahai M, Mishra V, Bag M and Singh V, (2011). “A Review of Multi-Criteria Decision Making Techniques for Supplier Evaluation and Selection”. International Journal of Industrial Engineering Computations, Vol. 2, pp. 801-810.
[2]. Akbar J. K and Nagendra Babu K, (2013). “Just In Time Manufacturing System: From Introduction to Implementation”. International Journal of Economics, Business and Finance, Vol. 1, No. 2, pp. 7-25.
[3]. Alcaraz G.J, Macías M.A, Luevano J.D, Fernández B.A, López D.A and Macías J.E, (2016). “Main benefits obtained from a successful JIT implementation”. International Journal Advanced Manufacturing Technology, Vol. 86, No. 9, pp. 2711-2722.
[4]. Cheraghi S.H, Dadashzadeh M and Subramanian M (2011). “Critical Success Factors for Supplier Selection: An Update”. Journal of Applied Business Research, Vol. 20, No. 2, pp. 91-108.
[5]. Darius M and Ghorbanali M (2016). “Minimizing Products Rates Variation in Just-in-Time Mixed-Model Manufacturing”. American Journal of Operations Research, Vol. 6, pp. 147-152.
[6]. Garg R.K, Agrawal V.P and Gupta V.K, (2006). “Selection of Plants by Evaluation and Comparison Using Graph Theoretical Methodology”. Electrical Power and Energy Systems, Vol. 28, pp. 429-435.
[7]. Garg R.K, Gupta V.K and Agrawal V.P, (2007). “Quality Evaluation of Thermal Power Plants by Graph Theoretical Methodology”. International Journal of Power and Energy Systems, Vol. 27, No.1, pp. 42-48.
[8]. Gupta A, Tewari P.C and Garg R.K, (2013). “Inventory models and their selection parameters: A critical review”. International Journal of Intelligent Enterprise, Vol. 2, No. 1, pp. 1-20.
[9]. Gupta Amit, Garg R.K. and Tewari P.C. (2014). “Multi- Criteria Ranking of Inventory Ordering Policies Using Fuzzy Based-Distance Based Approach for Indian Automotive Industry”. i-manager's Journal on Management, Vol. 8(1), Jun-Aug 2013, Print ISSN 0973-5054, E-ISSN 2230-715X, pp. 41-48.
[10]. Ho W, Xu X and Dey P.K, (2010). “Multi-Criteria Decision Making Approaches for Supplier Evaluation and Selection: A Literature Review”. European Journal of Operational Research, Vol. 202, pp. 16-24.
[11]. Jarial S.K and Garg R.K, (2012). “Ranking of Vendors Based on Criteria by MCDM-Matrix Method-A Case Study for Commercial Vehicles in An Automobile Industry”. International Journal of Latest Research in Science and Technology, Vol. 1,No. 4, pp. 337-341.
[12]. Kalubanga M, (2012). “Sustainable Procurement: Concept, and Practical Implications for the Procurement Process”. International Journal of Economics and Management Sciences, Vol. 1, No. 7, pp. 01-07.
[13]. Kristianto Y, Petri H, Jiao J and Sandhu M, (2012). “Adaptive Fuzzy Vendor Managed Inventory Control for Mitigating the Bullwhip Effect in Supply Chains”. European Journal of Operational Research, Vol. 216, No. 2, pp. 346- 355.
[14]. Kumar R and Garg R.K, (2010). “Optimal Selection of Robots by Using Distance Based Approach Method”. Robotics and Computer-Integrated Manufacturing, Vol. 26, pp. 500-506.
[15]. KwakC, Choi J.S, Kim C.O and Kwon I.H, (2009). “Situation Reactive Approach to Vendor Managed Inventory Problem”. Expert Systems with Applications, Vol. 36, No. 5, pp. 9039-9045.
[16]. Lin C and Lin Y, (2007). “A Cooperative Inventory Policy with Deteriorating Items for a Two-Echelon Model”. European Journal of Operational Research, Vol. 178, pp 92-111.
[17]. Singh A and Tewari P.C, (2015). “JIT Based Production System: A Critical Review”. Advanced and Futuristic Trends in Mechanical Engineering, Chandigarh, India.
[18]. Wen Shi, Jennifer Shang, Zhixue Liu and Xiaolu Zuo (2014). “Optimal design of the auto parts supply chain for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology”. European Journal of Operational Research, Vol. 236, pp. 664-670.
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