Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review
<i>Background</i>: The global dairy market is experiencing a massive transition as dairy farming has recently undergone modernization. As a result, the dairy industry needs to improve its operational efficiencies by implementing effective optimization techniques. Conventional and emergin...
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MDPI AG
2022-10-01
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| Series: | Logistics |
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| Online Access: | https://www.mdpi.com/2305-6290/6/4/74 |
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| author | Mohit Malik Vijay Kumar Gahlawat Rahul S Mor Vijay Dahiya Mukheshwar Yadav |
| author_facet | Mohit Malik Vijay Kumar Gahlawat Rahul S Mor Vijay Dahiya Mukheshwar Yadav |
| author_sort | Mohit Malik |
| collection | DOAJ |
| description | <i>Background</i>: The global dairy market is experiencing a massive transition as dairy farming has recently undergone modernization. As a result, the dairy industry needs to improve its operational efficiencies by implementing effective optimization techniques. Conventional and emerging optimization techniques have already gained momentum in the dairy industry. This study’s objective was to explore the optimization techniques developed for or implemented in the dairy supply chain (DSC) and to investigate how these techniques can improve the DSC. <i>Methods</i>: A systematic review approach based on PRISMA guidelines were adopted to conduct this review. The authors used descriptive statistics for statistical analysis. <i>Results</i>: Modernization has led the dairy industry to improve its operational efficiencies by implementing the most effective optimization techniques. Researchers have used mathematical modeling-based methods and are shifting to artificial intelligence (AI) and machine learning (ML) -based approaches in the DSC. The mathematical modeling-based techniques remain dominant (56% of articles), but AI and ML-based techniques are gaining traction (used in around 44% of articles). <i>Conclusions</i>: The review findings show insight into the benefits and implications of optimization techniques in the DSC. This research shows how optimization techniques are associated with every phase of the DSC and how new technologies have affected the supply chain. |
| format | Article |
| id | doaj-art-64775f76e2fa4091be236e9a19862014 |
| institution | DOAJ |
| issn | 2305-6290 |
| language | English |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj-art-64775f76e2fa4091be236e9a198620142025-08-20T02:51:53ZengMDPI AGLogistics2305-62902022-10-01647410.3390/logistics6040074Application of Optimization Techniques in the Dairy Supply Chain: A Systematic ReviewMohit Malik0Vijay Kumar Gahlawat1Rahul S Mor2Vijay Dahiya3Mukheshwar Yadav4Department of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonepat 131028, IndiaDepartment of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonepat 131028, IndiaDepartment of Food Engineering, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonepat 131028, IndiaDepartment of Business Administration, Maharaja Surajmal Institute, C-4, Janakpuri, New Delhi 110058, IndiaDepartment of Mechanical Engineering, CUIET, Chitkara University, Rajpura 140401, India<i>Background</i>: The global dairy market is experiencing a massive transition as dairy farming has recently undergone modernization. As a result, the dairy industry needs to improve its operational efficiencies by implementing effective optimization techniques. Conventional and emerging optimization techniques have already gained momentum in the dairy industry. This study’s objective was to explore the optimization techniques developed for or implemented in the dairy supply chain (DSC) and to investigate how these techniques can improve the DSC. <i>Methods</i>: A systematic review approach based on PRISMA guidelines were adopted to conduct this review. The authors used descriptive statistics for statistical analysis. <i>Results</i>: Modernization has led the dairy industry to improve its operational efficiencies by implementing the most effective optimization techniques. Researchers have used mathematical modeling-based methods and are shifting to artificial intelligence (AI) and machine learning (ML) -based approaches in the DSC. The mathematical modeling-based techniques remain dominant (56% of articles), but AI and ML-based techniques are gaining traction (used in around 44% of articles). <i>Conclusions</i>: The review findings show insight into the benefits and implications of optimization techniques in the DSC. This research shows how optimization techniques are associated with every phase of the DSC and how new technologies have affected the supply chain.https://www.mdpi.com/2305-6290/6/4/74dairy industrysupply chainoptimizationmachine learningartificial intelligencemathematical modelling |
| spellingShingle | Mohit Malik Vijay Kumar Gahlawat Rahul S Mor Vijay Dahiya Mukheshwar Yadav Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review Logistics dairy industry supply chain optimization machine learning artificial intelligence mathematical modelling |
| title | Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review |
| title_full | Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review |
| title_fullStr | Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review |
| title_full_unstemmed | Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review |
| title_short | Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review |
| title_sort | application of optimization techniques in the dairy supply chain a systematic review |
| topic | dairy industry supply chain optimization machine learning artificial intelligence mathematical modelling |
| url | https://www.mdpi.com/2305-6290/6/4/74 |
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