International Journal of Engineering Trends and Technology (IJETT) – Volume 30 Number 1 - December 2015 A Comprehensive Study on Implementation of Lean Manufacturing in Coir Based SME’s in Kerala Ajin B. S#1, Prof. Tina Raju.#2 Prof.A.S.Prasanth#3 1 2 PG Scholar, Assistant professor, Professor, Department of Mechanical Engineering, MA College of Engineering, Kothamangalam, Kerala, India Abstract — We can cutdown waste and improve the efficacy and competitiveness of an organization by using lean manufacturing strategic tool. This concept is being applied in large scale industries .Even though very few SMEs have successfully implemented these techniques most of them are not in a position to achieve complete success in the field. Besides some are failures in these cases. Hence it has been decided to study what are the problems being faced by Indian SMEs in the case of implementation of lean concepts. It is obvious that competitive supremacy in global market can be achieved only giving importance to manufacturing sector. This research gives importance of the application of lean manufacturing concept to small and medium enterprises sector concentrating the Indian industry. The main aim of the study is to determine what extent the main principles of lean manufacturing have been put into practice in twenty Indian Coir industries.. Keywords — Lean Manufacturing, Structural Equation Modeling. Linear I. INTRODUCTION During the post world war IInd period, Japanese manufactures especially in the automotive industry were facing with dilemma of shortage of material, financial and human resources. It was Fiji Toyoda and Tahiti Ohno at motor company in Japan who pioneered the concept of toyato Production System (TPS) better known in USA as Lean Manufacturing. Basic idea behind the system is how to eliminate waste. Waste is defined as anything that does not add value to end product to the customer’s perspective. The primary Objective of lean manufacturing is to assist the manufactures who have a desire to improve their companies operations and become more competitive through implementation of different lean Manufacturing tools and technique. The success of waste minimizing through the method of lean manufacturing in Japan ,whereas other companies and industries particularly in USA copied this system with immediate effect. The term ―lean‖ as defined by Womack and Jones (1994) is a system that utilizes less in terms of all input to create some as those created by a traditional mass production system by contributing increased variety for end customers. To manufacture only what is needed by customer, when it is needed and in the quantities ordered is called ―Lean‖ .In other words lean ISSN: 2231-5381 means produce a commodity strictly accordance to the quantity needed and time stipulated by a customer. Goods may be manufactured in away minimizing the time taken for the delivery of finished goods, amount of labor and storage space required .Besides the product must be with highest quality and lowest price production through lean manufacturing method and incorporated approach to manufacturing of goods, better quality, time delivery and competitive cost for customer satisfaction can be achieved by the method of lean manufacturing. The main motto of lean manufacturing is to curtail the waste in human effort, inventory, time taken to market and space for manufacturing. Moreover to cultivate a high demand and improve the quality of product at World Level product in most attractive manner (Todd 2000).The lean matrix changes the organization into lean enterprises. As this is the age of globalization and Commercialization. Global market is bitterly competitive. Therefore it is high time that manufacturing industries changed there mode of manufacturing. Hence the concept of traditional mass production has to be changed according to new ideas of lean manufacturing. It had been the tradition belief in the west that only way to make profit was to add it to manufacturing cost in order to come up with a selling price. (Ohno, 1997; Monden, 1998).Literally the term value means ―how much something is worth ― in money or other goods bfor which it can be exchanged and the value stream is defined as ―the specific activates with in supply chain required to design, order and provide a specific product or value‖ (Hines and Taylor, 2000).The terms that are used in parallel with term lean manufacturing (a) Agile Manufacturing (b) Just In Time manufacturing (c) Synchronous Manufacturing (d) World Class Manufacturing. Therefore the basic principle of lean manufacturing is how to reduce cost through incessant improvement that will gradually reduce the cost of service and product, which will in turn help the steady growth of profit. II. LITERATURE REVIEW Womack et al (1990) explains that the main inspirational source of lean manufacturing in modern industry is toyato Production System..Really they http://www.ijettjournal.org Page 8 International Journal of Engineering Trends and Technology (IJETT) – Volume 30 Number 1 - December 2015 focussed on matter how to eliminate waste so as to improve customer satisfaction. In other words lean manufacturing is an aggregation of principles, philosophies and business which helps the implementation of it.Neely et al. (1995) whereas gave importance to a comparison of performance of the industries in USA and Japan and made a study how the TPS had helped the industries of Japan to overcome the competition globally. Lathin et al (2001) explains that implementation of lean manufacturing ensures up to an extent the following matters1)90% Reduction in lead time2)90% Reduction in Inventories.3)50% increase in labour productivity.Doolean & Hacker (2005) made a study on exploratory effect of lean implementation in electronic industries of northwest pacific regionMelton (2005) has given a detailed analysis of the benefits of lean concept in business process.After conducting a research Taj.S (2005) suggested a method which defines how lean manufacturing can be effected without waste. Some authors suggested a production system which focuses on incessant flow of goods within supply chain by avoiding all wastes and performance with perfection and steady improvement.Papadopoula et al (2005) explains that most of the researches have commonly agreed that lean manufacturing is a mechanism which can reduce cost and in world class organisation it can be adopted as a guide.Achanga et al(2006) explains that it has come to the notice that in large organisations this lean manufacturing has successfully been implemented but in smaller organisations there are no clear evidence s of the implementation of lean manufacturing in small scale organisation. Small scale industries do get no chance for implementation of lean manufacturing like that of large organisation and high level of the set companies which produce high quality products on large scale.Following are proposals of Akin Akinlawon (2007) for a successful lean enterprise1) Skilled or Unskilled man power may be utilized at it’s maximum2) The size of cellular/plant module must be optimum 3) Manufacturing cost of finished product in toto, should be minimised.4) Reduction of Investment5) Reducing of labour requirement.6) Productive equipment must be utilized more and more.7) Changes may be made according to taste of market /customer. The researchers Ferdousi and Ahmad (2009) on lean manufacturing proposes a reduction of lead time from 8-5% and an improvement of productivity from 1060% and also an improvement of quality of product from 8-80%.Upadhye et al. (2010) and others stressed the point that the best way to identify and eliminate waste of Indian manufacturing industries is the conversion of their weakness of lesser resources into their strength.Yang et.al (2010) affected an analysis of the barriers for implementation of lean production in small scale industries of china.According to Bikash Marasini et al ISSN: 2231-5381 (2014) ,small scale industries has no other option than implementing lean manufacturing ,so as to improve productivity .In respect of large scale industries lean manufacturing has already been proved success, where as in small scale industries it is comparatively low..Lean manufacturing is not a perfect choice for small scale industries since they cannot maintain higher quality of products and manages the sophisticated business process as that of large scale industries. jitesh Thakkar at el (2014) reveals that present status of lean implementation and awereness in this respect in Indian industries is not absolutelhopeful.G. Anand at el, (2015) have stated that lean manufacturing has drawn the attention of the industries across the world. They further observes that based on the reports on benefits and customer demands of the already the scheme implemented companies some others have implemented lean management in their companies and steps are being taken to implement in their companies. STRUCTURAL EQUATION MODELLING (SEM). Structural equation modeling is a large subject. Relatively brief introductions may be found in Fox (1984) and in Duncan (1975); Bollen (1989) is a standard book-length treatment, now slightly dated; and most general econometric texts (e.g., Greene, 1993: Ch. 20; Judge et al., 1985: Part 5) take up at least observed-variables structural equation models. SEM is a large sample technique (usually N > 200) and the sample size required is somewhat dependent on model complexity, the estimation method used, and the distributional characteristics of observed variables (Kline, 2005). TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) Shanian and Savadogo (2006) presented an application of the TOPSIS method for solving the material selection problem of metallic bipolar plates for polymer electrolyte fuel cell (PEFC), which often involves multiple and conflicting objectives. Olson (2004) reviewed several applications of TOPSIS using different weighting schemes and different distance metrics, and compares results of different sets of weights applied to a previously used set of multiple criteria data. Deng et al. (2000) formulated the inter-company comparison process as a multicriteria analysis model in their paper, and presented an effective approach by modifying TOPSIS for solving the problem. Jahanshahloo et al. (2009) in their paper presented a new TOPSIS method for ranking decision making units (DMUs) with interval data yielding the interval score for each alternative III. PROBLEM BACKGROUND AND METHODOLOGY In general, the success of implementation of any particular management practice frequently depends http://www.ijettjournal.org Page 9 International Journal of Engineering Trends and Technology (IJETT) – Volume 30 Number 1 - December 2015 upon organizational characteristics, and not all organizations can or should implement the same set of practices (Galbraith, 1977). Indian MSMEs are an integral part of Indian economy. The contribution to the economic development of the country is indeed significant, but due to liberalization and globalization Indian MSMEs are facing tremendous challenges in the market. Imports and MNCs and especially china are becoming Manufacturing sector accounts for about 17% in India’s GDP compared to China (35%), Thailand (34%), Malaysia (31%), and Indonesia (25%) (Upadhye et al., 2010). Manufacturing contributes more than 75% in Indian exports. Large scale industries have started implementing Lean concept. But it is very sad to say that Indian industries are still struggling to implement these techniques. Very few small and medium scaled industries have successfully implemented; many of them were not able to implement fully, some were failed STRUCTURAL EQUATION MODEL (SEM) SEM approach is considered because there is no difficulty in hypothesis testing as it takes the confirmatory approach rather than the exploratory approach. It can incorporate both observed and latent variables. Moreover, no one has used SEM approach to arrive at lean score. The SEM model consists of two folds – one is the lower order model and the other is the higher order model. In the lower order model, the data obtained through the survey for the sub-criteria are given as the input. The construct score arrived through the lower order model are inputted to the higher order model. This construct score acts as an observed variable data for the higher order model. This is shown in Fig.32 The influence of Management and organization, Safety and environment concern ,Resistance to change ,Quality, Finance, Employee Trust, Skills and Expertise, Customer focus and performance measures has been proved by hypotheses H1 ,H2, H3, H4, H5, H6, H7, H8, H9. So the proposed model explained a significant percentage of variance in lean manufacturing Fig. 3.2 Higher Order Model Table 1 Hypothesis Testing S.N o Causal Hy Point t Hypothes Path pot Estim valu is hesi ate es Support H1 0.26 4.43 Yes H2 0.25 4.91 Yes H3 0.65 3.88 Yes s 1 Strong Manage ment and Leaders hip 2 Safety and Environ mental concern 3 Resistan ce to Figure 3.1 Lower Order Model ISSN: 2231-5381 change http://www.ijettjournal.org Page 10 International Journal of Engineering Trends and Technology (IJETT) – Volume 30 Number 1 - December 2015 4 Quality H4 0.78 3.04 Yes 5 Financia H5 0.52 5.33 Yes H6 0.83 4.97 Yes H7 0.55 4.55 Yes H8 0.47 4.19 Yes H9 0.72 4.66 Yes l capabilit ies 6 Employ Company Company Company Company Company Company Company Company Company 0.4563015432 0.4445750355 0.4346356701 0.4327553478 0.4130280481 0.4013501145 0.3480210776 0.3347308779 0.3217089206 ee Trust 7 Skills and Expertis e 8 Custom er focus 9 Perform ance RESULT Lean manufacturing is an integrated manufacturing strategy which is focused on the maximization of capacity and minimization of system variability.The factors (Latent factors) given by SEM model is considered for the relative weightage of the criteria. The relative weightages of the criteria are found out from LISREL and tabulated in the table 4.1 Table 3 Weightages of the Critical Factors Measure Critical Success Factors Management and leadership Weight 0.0515 s Safety and Environmental 0.0496 Concerns TOPSIS METHODOLOGY Table 2 Companies Rating from higher to Lower Company Company Company Company Company Company Company Company Company Company Company ISSN: 2231-5381 0.7405113555 0.6974690946 0.5906443951 0.5607480061 0.5598063809 0.5541365123 0.5294336904 0.4883267073 0.4798947610 0.4629311646 0.4586704376 Resistance to change 0.1299 Quality 0.1550 Finance 0.1039 Employee 0.1650 Skills and Expertise 0.1090 Customer Focus 0.0930 Performance Measure 0.1431 The above table gives relative weight ages for all the 9 success factors and shows that Employee Trust, Quality turned out to be the most important factor industries prefer. The companies are ranked with TOPSIS technique have been Shown below Table 4 TOPSIS MSMEs Rank(TOPSIS) COMP 3 Ist COMP 8 2nd COMP 15 3rd COMP 9 4th COMP 4 5th COMP 17 6th COMP 13 7th http://www.ijettjournal.org Page 11 International Journal of Engineering Trends and Technology (IJETT) – Volume 30 Number 1 - December 2015 COMP 20 8th COMP 19 9th COMP 1 10th 7. th COMP 14 11 COMP 7 12th COMP 11 13th COMP 2 14th COMP 12 15th COMP 16 16th COMP 18 17th COMP 6 18th COMP 5 19th COMP 10 20th 8. 9. 10. 11. 12. 13. CONCLUSION Lean manufacturing is a strategic tool, which is used to reduce waste and to improve the efficiency and competitiveness of an organization. This research is intended to provide valuable insights into MSMEs lean manufacturing initiatives upon manufacturing in Indian companies. There are a number of findings that can be considered important for any organization considering implementation of lean strategies. Overall it can be seen that all the twenty industries have similar philosophies when it comes to lean It is hoped that the work carried out has focused some light on to a better understanding of lean manufacturing principles. The ranking obtained from TOPSIS is useful for the industries to pay their attention on some basic important issues while achieving the prescribed targets. 14. 15. Countermeasures, Wenzhou International Journal of Innovation, Management and Technology, 1(2), 220 – 225. C.L. Hwang, K. Yoon, (1981) Multiple Attribute Decision Making, Springer-Verlag, Berlin. C.-T. Chen (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment, Fuzzy Sets Systems, 114, 1–9. C.-T. Chen, C.-T. Lin, S.-F. Huang, (2006) A fuzzy approach for supplier evaluation and selection in supply chain management, International Journal of Production and Economics, 102, 289–301. Crute, V., Ward, Y., Brown, S. & Graves, A. (2003) Implementing Lean in Aerospace - challenging the assumptions and understanding the challenges, Technovation, 23 (12), 917-928. Curry, J.J. (2007) A Lean Analysis Methodology Using Simulation, Society of Manufacturing Engineers (SME) Technical Paper, Retrieved December 26, 2009. Czabke, J., Hansen, E.N. & Doolen, T.L. (2008) A multisite field study of lean thinking in US and German secondary wood products manufacturers, Forest Products Journal, 58, (9), 77-85. D.L. Olson, (2004) Comparison of weights in TOPSIS models, Mathematics and Computer Model, 40 (7–8), 721– 727. Farzad Behrouzi, Kuan Yew wong (2010) Lean performance evaluation of manufacturing system: a dynamic and innovative approach, Procedia Computer Science, 3, 388–395. Fullerton, R.R., McWatters, C.S., Fawson, C., (2003) An examination of the relation- ships between JIT and financial performance, Journal of Operations Management, 21 (4), 383–404. G. Kim, C.S. Park, K.P. Yoon, (1997). Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement, International Journal Production Economics, 50 (1), 23–33. References 1. 2. 3. 4. 5. 6. Abdulmalek FA, Rajgopal J (2007) Analyzing the Benefits of Lean Manufacturing and Value Stream Mapping Via Simulation: A Process Sector Case Study, International Journal of Production Economics, 107, 223–236 Abdelmalek, F., Rajgopal, J., Needy, K.L. (2006) A classification model for the process industry to guide the implementation of lean. Engineering Management Journal, 18 (1), 15–25. Abdullah, F., Rajgopal, J. (2003) Lean manufacturing in the process industry, Proceedings of the IIE Research Conference, CD-ROM, Portland, OR, IIE, Norcross, GA. Abdullah, F., Rajgopal, J., Needy, K.L. (2002) Taxonomy of the process industry with a view to lean manufacturing. Proceedings of the American Society for Engineering Management, Tampa, FL, 314–321. Ashish Agarwal, Ravi Shankar, M.K. Tiwari (2006) Modelling the metrics of lean, agile and lea-agile supply chain: An ANP-based approach, European Journal of Operational Research, 173, 211–225. Shanian, O. Savadogo, (2006) TOPSIS multipleA. Yang Pingyu and B. Yu Yu. (2010) The Barriers to SMEs’ Implementation of Lean Production and ISSN: 2231-5381 http://www.ijettjournal.org Page 12