• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.725-726
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• 2008

In this paper, we introduce an ubiWarehouse system for the management of automobile parts. Because automotive parts are very various in kinds according to companies, models and manufacture year, it's hard to find exactly the desired parts and to control goods in stock. To solve this problem, we propose the model of context recognizer in which context data are expressed in a systematic type of 5W1H. And initial context data are grouped and integrated, and some conflict context information is solved. Finally user's intention is interpreted and served. As a result, the proposed system can be used to enhance conveniency and correctness of the management of various kinds of part's.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.111-120
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• 2009

In this paper, we propose ubiWarehouse system which can efficiently manages mass and many kinds of parts such as automotive parts. First, user's work situation is defined systematically as context type of 5W1H, context-aware system is separated on function, and each module operates independently. An efficient route is selected and relevant parts frequently treated at the same time are gathered by calculating the suitability of parts and racks. If other users currently are on a visit or are supposed to visit soon, the hun of visit is changed making a concession for preventing collision. As a result, the proposed system with avoiding competition can provide users with routes for inbound or outbound parts, and can effectively use spaces of a warehouse by arranging racks to gather relevant parts to near location. Also, individual service can be offered by evaluating user propensity using history of the warehouse job, and the accuracy of stock information can be improved by processing of unexpected context and real-time renewing of warehousing and delivering.