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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 31.02 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.32 MB | Adobe PDF | View/Open | |
03_content.pdf | 209.34 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 205.57 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 90.24 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 288.51 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 802.78 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 20.48 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.3 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.14 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 5.72 MB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 706.1 kB | Adobe PDF | View/Open | |
13_chapter 9.pdf | 281.63 kB | Adobe PDF | View/Open | |
14_chapter 10.pdf | 804.13 kB | Adobe PDF | View/Open | |
15_chapter 11.pdf | 75.36 kB | Adobe PDF | View/Open | |
16_annexures.pdf | 974.05 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 101.47 kB | Adobe PDF | View/Open |
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