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Student-centered curriculum design and evaluation in logistics management

Fayezi, Sajad - In: Logistics 6 (2022) 4, pp. 1-16

Background: In this essay, we address an important issue in the logistics education discourse relating to student-centered curriculum design and evaluation. Methods: We adopt an integrative approach based on conceptual development and guided by constructive alignment. Results: We apply and...

Persistent link: https://www.econbiz.de/10013552504

A particle swarm optimization approach to solve the vehicle routing problem with cross-docking and carbon emissions reduction in logistics management

Lo, Shih-Che - In: Logistics 6 (2022) 3, pp. 1-15

Background: The logistics network design with cross-docking operations enables shipping service providers to integrate the physical flow of products between vendors and dealers in logistics management. The collective goal is to synchronize the goods in both pickup and delivery operations...

Persistent link: https://www.econbiz.de/10013396193

Enhancing supply chain agility and sustainability through machine learning : optimization techniques for logistics and inventory management

Pasupuleti, Vikram; Thuraka, Bharadwaj; Kodete, Chandra … - In: Logistics 8 (2024) 3, pp. 1-16

Background: In the current global market, supply chains are increasingly complex, necessitating agile and sustainable management strategies. Traditional analytical methods often fall short in addressing these challenges, creating a need for more advanced approaches. Methods: This study leverages...

Persistent link: https://www.econbiz.de/10015081054

Earthquake decision-making tool for humanitarian logistics network : an application in Popayan, Colombia

Paz-Orozco, Helmer; De Brito, Irineu; Chong, Mario; … - In: Logistics 7 (2023) 4, pp. 1-18

Background: This study presents a comprehensive methodology for enhancing humanitarian logistics planning and management in natural disasters, focusing on earthquakes. Methods: The innovative approach combines a deterministic mathematical model with a simulation model to address the problem from...

Persistent link: https://www.econbiz.de/10014454406

Barriers, drivers, and social considerations for AI adoption in supply chain management : a tertiary study

Hangl, Johannes; Behrens, Viktoria Joy; Krause, Simon - In: Logistics 6 (2022) 3, pp. 1-22

Background: The number of publications in supply chain management (SCM) and artificial intelligence (AI) has risen … SCM. Methods: The methodology used for this meta-study is based on Kitchenham and Charters guidelines, resulting in a … in SCM were algorithms, followed by the Internet of Things (IoT). The main barriers to AI adoption in SCM are change …

Persistent link: https://www.econbiz.de/10013396204

Barriers, drivers, and social considerations for AI adoption in supply chain management: A tertiary study

Hangl, Johannes; Behrens, Viktoria Joy; Krause, Simon - In: Logistics 6 (2022) 3, pp. 1-22

Persistent link: https://www.econbiz.de/10015194931

Current state and future of international logistics networks : the role of digitalization and sustainability in a globalized world

Nitsche, Benjamin; Straube, Frank - In: Logistics 7 (2023) 4, pp. 1-9

Persistent link: https://www.econbiz.de/10014454601

A new model of the personnel function delivery in the logistics of Polish firms

Gołembska, Elżbieta; Gołembski, Marcin - In: Logistics 4 (2020) 3, pp. 1-14

In the article, a new phenomenon of global logistification provides a context for presenting the newest trends in the development of HR management and its role in logistics. The new trends include a growing internationalization of firms, combined flows of capital, people and technical knowledge,...

Persistent link: https://www.econbiz.de/10015194766

Student-centered curriculum design and evaluation in logistics management

Fayezi, Sajad - In: Logistics 6 (2022) 4, pp. 1-16

Persistent link: https://www.econbiz.de/10015194804

A conceptual framework for logistics management and project planning in the clinical trials industry

Sadoon, Emad; Venkatadri, Uday; Ghasemi, Alireza - In: Logistics 7 (2023) 4, pp. 1-42

Background: Logistics management in the clinical trials industry is a very challenging undertaking because it involves multiple stakeholders, complex processes, diverse software applications, intensive white-collar jobs, and onerous quality standards. Current business practices are inefficient...

Persistent link: https://www.econbiz.de/10014454648