Value analysis of location-enabled radio-frequency identification information on delivery chain performance
| Autor: | Jeffrey D. Tew, Kaizhi Tang, Soundar R. T. Kumara, Shang Tae Yee, Jindae Kim |
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| Rok vydání: | 2008 |
| Předmět: |
Economics and Econometrics
Operations research Computer science business.industry Business process Automotive industry ComputerApplications_COMPUTERSINOTHERSYSTEMS Management Science and Operations Research General Business Management and Accounting Industrial and Manufacturing Engineering Yard Identification (information) Software deployment Radio-frequency identification Operations management business |
| Zdroj: | International Journal of Production Economics. 112:403-415 |
| ISSN: | 0925-5273 |
| DOI: | 10.1016/j.ijpe.2007.04.006 |
| Popis: | A shipping yard of an automotive assembly plant is one of the key business processes as well as a starting point of outbound logistics, which holds finished vehicles temporarily until their shipment. The shipping yard involves various dynamically changing events and operations associated with vehicle movement, deployment, and shipment. Location-enabled radio-frequency identification tracking of vehicles can significantly improve the performance of delivery operations by facilitating better decision making. This paper analyzes the value of wireless location information for logistic operations during vehicle deployment and load makeup planning (DLMP) using a comprehensive simulation framework that simulates real operations of the yard. |
| Databáze: | OpenAIRE |
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