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Modular logistics service platform

Modular logistics service platform

Lin, Yong ORCID: 0000-0001-7118-2946, Luo, Jing and Zhou, Li ORCID: 0000-0001-7132-5935 (2010) Modular logistics service platform. In: Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010. IEEE Computer Society, Piscataway, USA, pp. 200-204. ISBN 9781424471188 (doi:https://doi.org/10.1109/SOLI.2010.5551582)

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Abstract

Providing customized services to satisfy the customers from different industry background is the emerging and critical issue of the success of the third party logistics company. This paper develops a modular logistics service platform for the third party logistics providers who are facing varied customer requirements from different industries, targeting quick identification of customer requirements and generation of comprehensive and modular logistics services in fast-changing customization environments. Three dimensions of the modular logistics service platform are identified, that is service, process, and activity, which reflects customer's individual requirements. By combining different existed modular components in the service platform, this proposed philosophy can be efficiently used to develop new services for both the existed customers and the new customers.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Additional Information: Paper presented at 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, held 15-17 July 2010, Qingdao, ShanDong, China.
Uncontrolled Keywords: modular, logistics, service, platform
Subjects: H Social Sciences > HE Transportation and Communications
Faculty / Department / Research Group: Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Supply Chain Management Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Supply Chain Management Research Group
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Last Modified: 14 Oct 2016 09:12
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/4786

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