Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/445047
Title: Benchmarking of Internal Supply Chain Management in Select Indian Manufacturing Industries
Researcher: Kailash
Guide(s): Saha, Rajeev Kumar and Goyal, Sanjeev
Keywords: Engineering
Engineering and Technology
Engineering Industrial
University: J.C. Bose University of Science and Technology, YMCA
Completed Date: 2019
Abstract: Supply chain management (SCM) come into existence in late 80 s. SCM is a broad area and is studied into two parts i.e. external supply chain management (ESCM) and internal supply chain management (ISCM). ISCM is one of the most important components which affect the performance of any type of manufacturing industry. For an effective control of internal supply chain, benchmarking of ISCM should be implemented to identify different problems related to it. newlineKeeping above views in mind this research work consists of study carried on different types of performance indicators of benchmarking, factors and sub factors, pit falls, industrial scope and other benefits of ISCM. Through literature review, different types of benchmarking and role of benchmarking in ISCM of manufacturing industries has been studied. The comparative benchmarking practice, mathematical statistics and bar charts have been used to analyze the performance gap between variable factors. VIKOR technique has been used to assign the rank of various variable factors. The DEMATEL technique has been used to categorize different factors into two groups i.e. Cause group and effect group. Supplier selection criteria using analytical hierarchy process, weightage score card and competitiveness index (CI) has been used to develop a benchmark for analysis of select Indian manufacturing industry. Analytical benchmarking framework has been developed to analyze variable factors of ISCM. The implementation work of benchmarking framework has been used to calculate Return on investment (ROI) and its optimization ROI of select Indian manufacturing industries. The weighted interpretive structural modeling (W-ISM) technique, fuzzy analytical hierarchy process (F-AHP) and interpretive structural modeling (ISM), MICMAC analysis has been used to develop different benchmarking model of ISCM. newline
Pagination: 
URI: http://hdl.handle.net/10603/445047
Appears in Departments:Department of Mechanical Engineering

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01_title.pdfAttached File31.02 kBAdobe PDFView/Open
02_prelim pages.pdf1.32 MBAdobe PDFView/Open
03_content.pdf209.34 kBAdobe PDFView/Open
04_abstract.pdf205.57 kBAdobe PDFView/Open
05_chapter 1.pdf90.24 kBAdobe PDFView/Open
06_chapter 2.pdf288.51 kBAdobe PDFView/Open
07_chapter 3.pdf802.78 kBAdobe PDFView/Open
08_chapter 4.pdf20.48 kBAdobe PDFView/Open
09_chapter 5.pdf1.3 MBAdobe PDFView/Open
10_chapter 6.pdf1.14 MBAdobe PDFView/Open
11_chapter 7.pdf5.72 MBAdobe PDFView/Open
12_chapter 8.pdf706.1 kBAdobe PDFView/Open
13_chapter 9.pdf281.63 kBAdobe PDFView/Open
14_chapter 10.pdf804.13 kBAdobe PDFView/Open
15_chapter 11.pdf75.36 kBAdobe PDFView/Open
16_annexures.pdf974.05 kBAdobe PDFView/Open
80_recommendation.pdf101.47 kBAdobe PDFView/Open
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