Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

The Review of Applications of Decision-making Techniques in Supply Chain Management

View through CrossRef
Objective: The objective of the article is to provide a systematic literature review of Multi-criteria Decision-making (MCDM) techniques in supply chain and logistics management. It aims to fill a research gap by offering an objective overview of the latest advancements in decision-making techniques and their impact on supply chain performance. Research Design & Methods: The paper employs a systematic literature review to examine the application MCDM techniques in supply chain management. The review follows a five-step process: 1) formulation of research questions, 2) identification of relevant studies through the Scopus database, focusing on English-language journal articles published between 2006 and 2023, 3) selection and evaluation of studies using structured keyword searches and content screening, resulting in a final sample of 348 peer-reviewed articles, 4) analysis and synthesis of the selected literature in relation to the research questions, and 5) reporting the findings to identify research gaps and suggest future research directions. Findings: The review reveals the diverse applications of MCDM tools and models in addressing complex supply chain challenges, including demand forecasting, inventory management, distribution optimisation, and risk assessment. Furthermore, the study underscores the substantial value added by these techniques, as they lead to improved decision-making processes, enhanced operational efficiency, cost reduction, and overall performance optimisation of supply chains. The findings also provide valuable recommendations for future research, promoting knowledge accumulation and creation in the field of MCDM techniques for supply chain management. Implications / Recommendations: The study’s findings have important implications for supply chain management, demonstrating how MCDM methodologies may improve decision-making, efficiency, and performance. The recommendations emphasise the continuous application and research of these strategies in diverse supply chain contexts. Future research is recommended to better understand and broaden the use of MCDM approaches in supply chain settings. Contribution: This article is unique in that it provides a full examination of MCDM strategies related to supply chain and logistics management. It synthesises a wide variety of previous research to offer a comprehensive overview of the present status and promise of MCDM approaches for improving supply chain operations and results.
Title: The Review of Applications of Decision-making Techniques in Supply Chain Management
Description:
Objective: The objective of the article is to provide a systematic literature review of Multi-criteria Decision-making (MCDM) techniques in supply chain and logistics management.
It aims to fill a research gap by offering an objective overview of the latest advancements in decision-making techniques and their impact on supply chain performance.
Research Design & Methods: The paper employs a systematic literature review to examine the application MCDM techniques in supply chain management.
The review follows a five-step process: 1) formulation of research questions, 2) identification of relevant studies through the Scopus database, focusing on English-language journal articles published between 2006 and 2023, 3) selection and evaluation of studies using structured keyword searches and content screening, resulting in a final sample of 348 peer-reviewed articles, 4) analysis and synthesis of the selected literature in relation to the research questions, and 5) reporting the findings to identify research gaps and suggest future research directions.
Findings: The review reveals the diverse applications of MCDM tools and models in addressing complex supply chain challenges, including demand forecasting, inventory management, distribution optimisation, and risk assessment.
Furthermore, the study underscores the substantial value added by these techniques, as they lead to improved decision-making processes, enhanced operational efficiency, cost reduction, and overall performance optimisation of supply chains.
The findings also provide valuable recommendations for future research, promoting knowledge accumulation and creation in the field of MCDM techniques for supply chain management.
Implications / Recommendations: The study’s findings have important implications for supply chain management, demonstrating how MCDM methodologies may improve decision-making, efficiency, and performance.
The recommendations emphasise the continuous application and research of these strategies in diverse supply chain contexts.
Future research is recommended to better understand and broaden the use of MCDM approaches in supply chain settings.
Contribution: This article is unique in that it provides a full examination of MCDM strategies related to supply chain and logistics management.
It synthesises a wide variety of previous research to offer a comprehensive overview of the present status and promise of MCDM approaches for improving supply chain operations and results.

Related Results

Enhancing supply chain performance through supply chain practices
Enhancing supply chain performance through supply chain practices
Background: The recognised relationship between company performance and supply chain performance has prompted managers, practitioners and researchers alike to seek a better underst...
An assessment of sustainable supply chain management practices in the upstream pharmaceutical industry of Ghana
An assessment of sustainable supply chain management practices in the upstream pharmaceutical industry of Ghana
The drive for the adoption of Sustainable Supply Chain Management practices among pharmaceutical companies is on the rise given the global effort to attain net zero of carbon emiss...
Autonomy on Trial
Autonomy on Trial
Photo by CHUTTERSNAP on Unsplash Abstract This paper critically examines how US bioethics and health law conceptualize patient autonomy, contrasting the rights-based, individualist...
How artificial intelligence-based supply chain analytics enable supply chain agility and innovation? An intellectual capital perspective
How artificial intelligence-based supply chain analytics enable supply chain agility and innovation? An intellectual capital perspective
Purpose This study aims to empirically examine the impact of intellectual capital on the adoption of artificial intelligence-based supply chain analytics in manufacturing companies...
Assessing complexity of supply chains: evidence from wholesalers
Assessing complexity of supply chains: evidence from wholesalers
PurposeThe purpose of this paper is to discuss complexity assessment in supply chains, to describe a methodology for measuring supply chain complexity in distributive trade and to ...
Blockchain-integrated technologies for solving supply chain challenges
Blockchain-integrated technologies for solving supply chain challenges
PurposeBlockchain technology was developed to synchronize the data and transactions over the supply chain network and connected nodes. This paper aims to show how blockchain techno...
Supply chain management analysis of avocado in south Sumatra province through the Food Supply Chain Network (FSCN) method
Supply chain management analysis of avocado in south Sumatra province through the Food Supply Chain Network (FSCN) method
One of the agricultural sub-sectors that occupy a strategic position in agricultural development is the horticultural sub-sector, with one of its potential commodities being avocad...
ANALISIS RANTAI PASOK BIJI KOPI ROBUSTA DI KECAMATAN TAMBORA KABUPATEN BIMA
ANALISIS RANTAI PASOK BIJI KOPI ROBUSTA DI KECAMATAN TAMBORA KABUPATEN BIMA
The aims of this research are to: (1) Analyze the robusta coffee bean supply chain network in Tambora District, Bima Regency; (2) Analyze the performance of the robusta coffee bean...

Back to Top