Supply chain performance measurement in textile enterprises

By:

Charkha, Pranav C

Contributor(s):

Material type: Text

TextSeries: Frontiers of Mechanical and Industrial EngineeringPublication details: Routledge Palm Bay 2024Description: xviii, 233 pISBN:

9781774913864

Subject(s):

Supply chain

DDC classification:

658.7 CHA

Summary: This new volume provides detailed insight into supply chain management (SCM) and supply chain performance measurement (SCPM) in the textile industry. The book provides a comprehensive set of performance sub-criteria for the evaluation of SCPM, offering the information needed to understand, implement, and evaluate the supply chain performance of the textile industry and its cyclic processes. Using the Delphi method (a process used to arrive at a group opinion or decision by surveying a panel of experts), the authors studied several companies of diverse sizes and applied an analytical hierarchy process to establish crucial performance measurement criteria and sub-criteria. Around 80 textile industry personnel were contacted, including general managers, factory managers, managers, assistant managers, executives, and supervisors involved in various functions related to textile supply chains to discuss procurement, production, and distribution alternatives. The authors employed the multi-criteria decision-making technique, i.e. analytical hierarchy process, for executing pair-wise comparison and establishing priority weights of criteria, sub-criteria, and for estimating the contribution of supply chain cyclic processes to overall supply chain performance. (https://www.routledge.com/Supply-Chain-Performance-Measurement-in-Textile-Enterprises/Charkha-Jaju-Chatterjee/p/book/9781774913864?srsltid=AfmBOooFMGdaln1e4psf5oaJRy0gwzLFkL7v5gr7LDWknzKEB6nT8IsC)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.7 CHA (Browse shelf(Opens below))	1	Available		007380

Table of content:
1. Supply Chain Management and Supply Chain Performance Measurement

2. Supply Chain Management: Review of Textile Enterprises

3. Supply Chain Performance Measurement Practices: Case of Textile Industries

4. Supply Chain Performance Measurement Framework: Research Case Study in Textile Industries

5. Validation of Developed SCPM Framework

6. Implication and Contribution of Research Study
[https://www.routledge.com/Supply-Chain-Performance-Measurement-in-Textile-Enterprises/Charkha-Jaju-Chatterjee/p/book/9781774913864?srsltid=AfmBOooFMGdaln1e4psf5oaJRy0gwzLFkL7v5gr7LDWknzKEB6nT8IsC]

This new volume provides detailed insight into supply chain management (SCM) and supply chain performance measurement (SCPM) in the textile industry. The book provides a comprehensive set of performance sub-criteria for the evaluation of SCPM, offering the information needed to understand, implement, and evaluate the supply chain performance of the textile industry and its cyclic processes.

Using the Delphi method (a process used to arrive at a group opinion or decision by surveying a panel of experts), the authors studied several companies of diverse sizes and applied an analytical hierarchy process to establish crucial performance measurement criteria and sub-criteria. Around 80 textile industry personnel were contacted, including general managers, factory managers, managers, assistant managers, executives, and supervisors involved in various functions related to textile supply chains to discuss procurement, production, and distribution alternatives. The authors employed the multi-criteria decision-making technique, i.e. analytical hierarchy process, for executing pair-wise comparison and establishing priority weights of criteria, sub-criteria, and for estimating the contribution of supply chain cyclic processes to overall supply chain performance.

(https://www.routledge.com/Supply-Chain-Performance-Measurement-in-Textile-Enterprises/Charkha-Jaju-Chatterjee/p/book/9781774913864?srsltid=AfmBOooFMGdaln1e4psf5oaJRy0gwzLFkL7v5gr7LDWknzKEB6nT8IsC)

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