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ChatGPT in supply chains : initial evidence of applications and potential research agenda
Frederico, Guilherme F. - In: Logistics 7 (2023) 2, pp. 1-9
that, although it may take time until this technology evolves to a desirable level of maturity, it may be applied in …
Persistent link: https://www.econbiz.de/10014370490
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Artificial Intelligence capabilities for demand planning process
Aparecida de Mattos, Claudia; Correia, Fernanda Caveiro; … - In: Logistics 8 (2024) 2, pp. 1-16
Background: Technological advancements, particularly in Artificial Intelligence (AI), are revolutionizing operations management, especially in the domain of supply chain management. This paper delves into the application of AI in demand planning processes within the supply chain context. Drawing...
Persistent link: https://www.econbiz.de/10014631291
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Travel time prediction in a multimodal freight transport relation using machine learning algorithms
Servos, Nikolaos; Liu, Xiaodi; Teucke, Michael; … - In: Logistics 4 (2020) 1, pp. 1-22
increase their logistics quality and efficiency. It requires both sufficient input data, which can be generated, e.g., by …
Persistent link: https://www.econbiz.de/10012262182
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Application of optimization techniques in the dairy supply chain : a systematic review
Malik, Mohit; Gahlawat, Vijay Kumar; Mor, Rahul S.; … - In: Logistics 6 (2022) 4, pp. 1-16
Background: 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...
Persistent link: https://www.econbiz.de/10013552530
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Pandemic, war, natural calamities, and sustainability : industry 4.0 technologies to overcome traditional and contemporary supply chain challenges
Abirami Raja Santhi; Muthuswamy, Padmakumar - In: Logistics 6 (2022) 4, pp. 1-32
interlinked functions such as planning, procurement, production, logistics, distribution, and sales. Recently, organizations have …
Persistent link: https://www.econbiz.de/10013552592
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A systematic investigation of the integration of machine learning into supply chain risk management
Schroeder, Meike; Lodemann, Sebastian - In: Logistics 5 (2021) 3, pp. 1-16
The main objective of the paper is to analyze and synthesize existing scientific literature related to supply chain areas where machine learning (ML) has already been implemented within the supply chain risk management (SCRM) field, both in theory and in practice. Furthermore, we analyzed which...
Persistent link: https://www.econbiz.de/10012618513
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A predictive maintenance system for reverse supply chain operations
Gayialis, Sotiris P.; Kechagias, Evripidis P.; … - In: Logistics 6 (2022) 1, pp. 1-14
Background: Reverse supply chains of machinery and equipment face significant challenges, and overcoming them is critical for effective customer service and sustainable operation. Maintenance and repair services, strongly associated with the reverse movement of equipment, are among the most...
Persistent link: https://www.econbiz.de/10012818081
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A soft computing view for the scientific categorization of vegetable supply chain issues
Abbas, Rizwan; Amran, Gehad Abdullah; Hussain, Irshad; … - In: Logistics 6 (2022) 3, pp. 1-17
Over the most recent couple of years, the Internet of Things and other empowering innovations have been logically utilized for digitizing the vegetable supply chain (VSC). Background: The unpredictable examples and complexity inserted in enormous data dimensions present a test for an orderly...
Persistent link: https://www.econbiz.de/10013287767
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Digital technology 4.0 on halal supply chain : a systematic review
Harsanto, Budi; Farras, Joval Ifghaniyafi; Firmansyah, … - In: Logistics 8 (2024) 1, pp. 1-39
process, from upstream to downstream. This paper aims to identify the innovative digital technology 4.0 utilized within the … articles with two main aspects that are of concern in this research, namely what technology is used in certain parts of the … supply chain (procurement, manufacturing, distribution, and/or logistics), as well as the impact on firm performance …
Persistent link: https://www.econbiz.de/10014506738
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Food Logistics 4.0 : opportunities and challenges
Jagtap, Sandeep; Bader, Farah; Garcia-Garcia, Guillermo; … - In: Logistics 5 (2021) 1/2, pp. 1-19
Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based … novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in … quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4 …
Persistent link: https://www.econbiz.de/10012426141