Horizontal collaboration in freight transport: concepts, benefits, and environmental challenges
Since its appearance in the 1990s, horizontal collaboration (HC) practices have revealed themselves as catalyzers for optimizing the distribution of goods in freight transport logistics. After introducing the main concepts related to HC, this paper offers a literature review on the topic and provide...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Oberta de Catalunya (UOC) |
| Repositorio: | O2, repositorio institucional de la UOC |
| OAI Identifier: | oai:openaccess.uoc.edu:10609/78831 |
| Acceso en línea: | https://hdl.handle.net/10609/78831 http://doi.org/10.2436/20.8080.02.65 |
| Access Level: | acceso abierto |
| Palabra clave: | horizontal collaboration freight transport sustainable logistics supply chain management combinatorial optimization col·laboració horitzontal transport de mercaderies logística sostenible gestió de la cadena de subministrament optimització combinatòria colaboración horizontal transporte de mercancías gestión de la cadena de suministro optimización combinatoria Business logistics Logística (Indústria) Logística (Industria) |
| Sumario: | Since its appearance in the 1990s, horizontal collaboration (HC) practices have revealed themselves as catalyzers for optimizing the distribution of goods in freight transport logistics. After introducing the main concepts related to HC, this paper offers a literature review on the topic and provides a classification of best practices in HC. Then, the paper analyses the main benefits and optimization challenges associated with the use of HC at the strategic, tactical, and operational levels. Emerging trends such as the concept of 'green' or environmentally-friendly HC in freight transport logistics are also introduced. Finally, the paper discusses the need of using hybrid optimization methods, such as simheuristics and learnheuristics, in solving some of the previously identified challenges in real-life scenarios dominated by uncertainty and dynamic conditions. |
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