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Performance evaluation of integrated supply chain management for manufacturing industry

Dependency on the Balanced scorecard (BSC) and the Supply Chain Operations Reference (SCOR) model is inadequate in terms of sustainability and environmental issues. As a result, we are not able to evaluate performance holistically particularly in the manufacturing industry. Therefore, a comprehensiv...

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Main Author: Saleheen, Ferdoush
Format: Thesis
Language:English
English
English
English
Published: 2020
Subjects:
HD28-70 Management. Industrial Management
Online Access:https://etd.uum.edu.my/9357/1/depositpermission-allow-not%20allow_s900148.pdf
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spelling my.uum.etd.93572022-05-17T00:53:11Z https://etd.uum.edu.my/9357/ Performance evaluation of integrated supply chain management for manufacturing industry Saleheen, Ferdoush HD28-70 Management. Industrial Management Dependency on the Balanced scorecard (BSC) and the Supply Chain Operations Reference (SCOR) model is inadequate in terms of sustainability and environmental issues. As a result, we are not able to evaluate performance holistically particularly in the manufacturing industry. Therefore, a comprehensive Supply Chain Performance Management (SCPM) is required to assess the supply chain's effectiveness. This study formulates Integrated Supply Chain Performance Measurement (ISCPM) model through the supply chain performance attributes in the outlook of input-process-output considering the BSC and the SCOR model at three decisions levels with an application of quantitative techniques to bring synergic effect to all stakeholder issues.A gap analysis was performed through literature reviews. The integrated model incorporates ten supply chain performance measurement attributes and 36 performance measurement indexes as supplier relationship management (SRM), internal supply chain management (ISCM), and customer relationship management (CRM). The model was then tested by 207 respondents from 24 sectors in the manufacturing industry of Bangladesh, through a simple random sampling. The ten attributes were ranked using Analytic Hierarchy Process (AHP), and the weight and fitness of the model, were validated using the Structural Equation Modeling (SEM) technique. Due to the higher order rankings and significance of different attributes, the SRM is the most important component of the model, followed by CRM, and then ISCM. The ISCPM model furnishes stakeholders of the manufacturing supply chain with the appropriate strategies to review and appraise their performance toward fulfillment of the ultimate goals. This model is suggested to be implemented in manufacturing industries to improve their operational efficiency. 2020 Thesis NonPeerReviewed text en https://etd.uum.edu.my/9357/1/depositpermission-allow-not%20allow_s900148.pdf text en https://etd.uum.edu.my/9357/2/s900148_01.pdf text en https://etd.uum.edu.my/9357/3/s900148_02.pdf text en https://etd.uum.edu.my/9357/4/s900148_references.docx Saleheen, Ferdoush (2020) Performance evaluation of integrated supply chain management for manufacturing industry. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
English
English
topic HD28-70 Management. Industrial Management
spellingShingle HD28-70 Management. Industrial Management
Saleheen, Ferdoush
Performance evaluation of integrated supply chain management for manufacturing industry
description Dependency on the Balanced scorecard (BSC) and the Supply Chain Operations Reference (SCOR) model is inadequate in terms of sustainability and environmental issues. As a result, we are not able to evaluate performance holistically particularly in the manufacturing industry. Therefore, a comprehensive Supply Chain Performance Management (SCPM) is required to assess the supply chain's effectiveness. This study formulates Integrated Supply Chain Performance Measurement (ISCPM) model through the supply chain performance attributes in the outlook of input-process-output considering the BSC and the SCOR model at three decisions levels with an application of quantitative techniques to bring synergic effect to all stakeholder issues.A gap analysis was performed through literature reviews. The integrated model incorporates ten supply chain performance measurement attributes and 36 performance measurement indexes as supplier relationship management (SRM), internal supply chain management (ISCM), and customer relationship management (CRM). The model was then tested by 207 respondents from 24 sectors in the manufacturing industry of Bangladesh, through a simple random sampling. The ten attributes were ranked using Analytic Hierarchy Process (AHP), and the weight and fitness of the model, were validated using the Structural Equation Modeling (SEM) technique. Due to the higher order rankings and significance of different attributes, the SRM is the most important component of the model, followed by CRM, and then ISCM. The ISCPM model furnishes stakeholders of the manufacturing supply chain with the appropriate strategies to review and appraise their performance toward fulfillment of the ultimate goals. This model is suggested to be implemented in manufacturing industries to improve their operational efficiency.
format Thesis
author Saleheen, Ferdoush
author_facet Saleheen, Ferdoush
author_sort Saleheen, Ferdoush
title Performance evaluation of integrated supply chain management for manufacturing industry
title_short Performance evaluation of integrated supply chain management for manufacturing industry
title_full Performance evaluation of integrated supply chain management for manufacturing industry
title_fullStr Performance evaluation of integrated supply chain management for manufacturing industry
title_full_unstemmed Performance evaluation of integrated supply chain management for manufacturing industry
title_sort performance evaluation of integrated supply chain management for manufacturing industry
publishDate 2020
url https://etd.uum.edu.my/9357/1/depositpermission-allow-not%20allow_s900148.pdf
https://etd.uum.edu.my/9357/2/s900148_01.pdf
https://etd.uum.edu.my/9357/3/s900148_02.pdf
https://etd.uum.edu.my/9357/4/s900148_references.docx
https://etd.uum.edu.my/9357/
_version_ 1734302339802595328
score 13.211869

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