PERFORMANCE OF INDORE INDUSTRIAL ORGANIZATIONS THROUGH SUPPLY CHAIN MANAGEMENT TAKING INTERNAL FACTORS OF INDUSTRIAL UNITS
Pharmaceuticals, Automobile, Auto-Ancillaries and Steel manufacturing organizations have the largest cluster in industrial areas including National and International level organizations. Auto-ancillary organizations report sales growth over the years. It proofs that there is a need to identify the ways to cut the cost and increase the profit. Hence this area had been studied. The Organization in India has been recording growth over the years and has emerged as a major contributor to India’s GDP. This organization currently accounts for almost 7% of our GDP and employing about 19 million people directly and indirectly steel manufacturing organization took in to the account efficacy level of Productivity, Quality, Warehouse and Inventory, Transportation, Flexibility, Supplier Relationship, Customer Relationship, Information System, and Strategy dimensions of supply chain efficacy between Automobile and Steel Manufacturing organizations.
Altekar, R. V., (2005), “Supply Chain Management: Concepts and Cases”Prentice Hall of India, New Delhi India.
Angerhofer, B. J., Angelides, M.C. (2006), “A Model and a PerformanceMeasurement System for Collaborative Supply Chains”, Decision Support Systems, 42(1), pp. 283-301.
Aramyan, L.H., Lansink, A., Van Der Vorst, J., Van Kooten, O. (2007), “Performance Measurement in Agri-Food Supply Chains: A Case Study”, Supply Chain Management: An International Journal, 12(4), pp. 304-315.
Ayers, J. B., (2001), “Handbook of Supply Chain Management”, CRC Press,United States of America.
Batson, R. G., (2008), “A Survey of Best Practices in Automotive Supplier Development”, International Journal of Automobile Technology Management, 8(2), pp. 129–144.
Beamon, B. (1999), “Measuring Supply Chain Performance”, International Journal of Operations and Production Management, 19(3), pp. 275–292.
Benjamin, R., Wigand, R., (1995), Electronic Markets and Virtual Value Chains on the Information Superhighway”, Sloan Management Review, 36(2), pp. 62–72.
Bhagwat, R., Sharma, M.K. (2007), “Performance Measurement of Supply Chain Management: A Balanced Scorecard Approach. Computers & Industrial Engineering, 53(1), pp. 43-62.
Bititci, U.S., Carrie, A.S., McDevitt, L.G., (1997), “Integrated Performance Measurement Systems: A Development Guide”, International Journal of Operations and Production Management, 17(6), May/June, MCB University Press, pp. 522-535.
Cai, J., Liu, X., Xiao, Z., Liu, J. (2009), “Improving Supply Chain Performance Management: A Systematic Approach to Analyzing Iterative KPI Accomplishment”, Decision Support Systems, 46(2), pp. 512-521.
Chan, F., T., S., Qi, H.J. (2003), “An Innovative Performance Measurement Method for Supply Chain Management”, Supply Chain Management: An International Journal, 8(3), pp. 209-223.
Chan, F.T.S., Qi, H.J., Chan, H.K., Lau, H.C.W. Ip, R.W.L. (2003), “A Conceptual Model of Performance Measurement for Supply Chains”, Management Decision, 41(7), pp. 635-642.
Charan, P., Shankar, R., Baisya, R. (2008), “Analysis of Interactions among the Variables of Supply Chain Performance Measurement Systems”, Business Process Management Journal, 14(4), pp. 512-529.
Chikan, A. (2001), “Integration of Production and Logistics – in Principle, In Practice and in Education”, International Journal of Production Economics, 69(2), pp.129–140.
Chia, A., Goh, M., Hum, S.H. (2009), “Performance Measurement in Supply Chain: Balanced Scorecard Perspective”, Benchmarking: An International Journal, 16(5), pp. 605.
Chin, K.S., Rao, Tumalla, V.M., Leung, J.P.F., Tang, X. (2004), “A Study on Supply Chain Management Practices: The Hong Kong Manufacturing Perspective”, International Journal of Physical Distribution & Logistics Management, 34, pp
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