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A set-covering formulation for a drayage problem with single and double container loads
Ghezelsoflu, A.; Di Francesco, M.; Frangion, A.; Zuddas, P. - In: Journal of Industrial Engineering International 14 (2018) 4, pp. 665-676
This paper addresses a drayage problem, which is motivated by the case study of a real carrier. Its trucks carry one or …
Persistent link: https://www.econbiz.de/10011995863
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Research on decentralized control strategies for automated vehicle-based in-house transport systems: A survey
Schmidt, Thorsten; Reith, K.-B.; Klein, Nils; Däumler, M. - In: Logistics Research 13 (2020) 1, pp. 1-27
With the application of in-house logistics automated guided vehicle (AGV) systems for transportation three different control problems arise: task assignment, empty vehicle balancing and routing. With an increasing fleet size and especially when considering requirements like flexibility and...
Persistent link: https://www.econbiz.de/10014542138
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Dry port: A review on concept, classification, functionalities and technological processes
Varese, Erica; Marigo, Danilo Stefano; Lombardi, … - In: Logistics 4 (2020) 4, pp. 1-16
The purpose of this article is to offer a literature review on the development and classification of inland terminals, later defined as 'dry ports'. The aim of the paper is to analyze the extant literature on dry ports focusing on their concept, classification, function and technological...
Persistent link: https://www.econbiz.de/10015194918
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An optimization model for management of empty containers in distribution network of a logistics company under uncertainty
Hosseini, Ahmad; Sahlin, Tobias - In: Journal of Industrial Engineering International 15 (2019) 4, pp. 585-602
dispatching empty containers of multiple types and various conditions (dirty and clean) to meet the on-time delivery requirements … and repositioning the other containers to terminals, depots, and cleaning stations. A multi-period optimization model is …
Persistent link: https://www.econbiz.de/10013470785
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An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning
Balster, Andreas; Hansen, Ole; Friedrich, Hanno; … - In: Business & Information Systems Engineering 62 (2020) 5, pp. 403-416
Transparency in transport processes is becoming increasingly important for transport companies to improve internal processes and to be able to compete for customers. One important element to increase transparency is reliable, up-to-date and accurate arrival time prediction, commonly referred to...
Persistent link: https://www.econbiz.de/10014503525
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An industry-level analysis of the post-Brexit and post-Covid 19 Ro-Ro ferry market and critical maritime freight transport links between the UK and the EU
Paraskevadakis, Dimitrios; Ifeoluwa, Adeyeri - In: Journal of Shipping and Trade (JST) 7 (2022) 1, pp. 1-33
Evaluating supply chain system improvements and international economic integration patterns to changes in expenditure requires urgent attention from short to long-term supply chain disruption review. Following the United Kingdom's exit from the European Union, the UK and the global economies...
Persistent link: https://www.econbiz.de/10014557479
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Effects of BRI strategy on Mediterranean shipping transport
Ferrari, Claudio; Tei, Alessio - In: Journal of Shipping and Trade (JST) 5 (2020) 14, pp. 1-18
In 2013 Chinese government unveiled one of the biggest transport plan schemes worldwide: the One Belt One Road (OBOR) strategy, now called the Belt and Road Initiative (BRI). This scheme includes the development of a group of specific transport and logistics corridors that encompass three...
Persistent link: https://www.econbiz.de/10014557481
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Demurrage and detention: From operational challenges towards solutions
Storms, Katrien; Sys, Christa; Vanelslander, Thierry; … - In: Journal of Shipping and Trade (JST) 8 (2023) 1, pp. 1-31
Reduced free time and increased fees for demurrage and detention create organizational challenges with respect to intermodal transport. As a result, actors within the maritime supply chains are confronted with greater complexity and higher risk of costs; and, therefore, often fall back on...
Persistent link: https://www.econbiz.de/10014557549
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A comparison of the homotopy method with linearisation approaches for a non-linear optimization problem of operations in a reservoir cascade
Becker, Bernhard; Ochterbeck, Dietlind; Piovesan, Teresa - In: Energy Systems (2023), pp. 1-29
efficiently control these systems and to satisfy the different interests as good as possible, mathematical optimization models can … be used to support operational decisions. Common approaches for reservoir optimization apply linear optimization … volume in a reservoir or to account for the hydropower equation. When the non-linear equations form a non-convex optimization …
Persistent link: https://www.econbiz.de/10015194328
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Optimizing transport logistics under uncertainty with simheuristics: Concepts, review and trends
Castaneda, Juliana; Ghorbani, Elnaz; Ammouriova, Majsa; … - In: Logistics 6 (2022) 3, pp. 1-15
Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real … approached with simulation techniques. However, simulation is not an optimization tool. Hence, it must be combined with … optimization methods when our goal is to: (i) minimize operating costs while guaranteeing a given quality of service; or (ii …
Persistent link: https://www.econbiz.de/10015194790