NDLI: Prognostics in the control of logistics systems

Content Provider	IEEE Xplore Digital Library
Author	De La Cruz, A.M. Veeke, H.P.M. Lodewijks, G.
Copyright Year	2006
Description	Author affiliation: Fac. of Mech., Maritime & Mater. Eng., Delft Univ. of Technol. (De La Cruz, A.M.; Veeke, H.P.M.; Lodewijks, G.)
Abstract	The use of technological tools in logistics has the intention of increasing visibility, capacity and control in the supply chain. Decrease of uncertainties due to asymmetric data has been the constant challenge of management. Misdiagnosis of situations and equipment, inaccurate production planning, shrinkage and counterfeiting are some of the common problems as a consequence of erroneous information. The idea of prognostic logistics is to use real time information and an intelligent system to diagnose and predict early failures and hazardous situations. The automatic capture of information in prognostic logistics has the intent to reduce human errors. Automatic identification technologies enable the creation of a prognostic logistic network where real time information is used to make accurate forecasting, pushing a proactive supply chain instead of a reactive one
Starting Page	1
Ending Page	5
File Size	6743445
Page Count	5
File Format	PDF
ISBN	1424403170
DOI	10.1109/SOLI.2006.328972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Uncertainty Supply chains Humans Control systems RFID logistics Counterfeiting Prognostics Production planning Computer errors Intelligent systems automatic identification Logistics
Content Type	Text
Resource Type	Article

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