Title: Intelligent supply chain by using prognostic logistics

Authors: Adriana M. Lopez De La Cruz, Hans P.M. Veeke, Gabriel Lodewijks

Addresses: Department of Transport Engineering and Logistics, Delft University of Technology, Mekelweg 2, Delft 2628 CD, The Netherlands. ' Department of Production Engineering and Logistics, Delft University of Technology, Mekelweg 2, Delft 2628 CD, The Netherlands. ' Department of Transport Engineering and Logistics, Delft University of Technology, Mekelweg 2, Delft 2628 CD, The Netherlands

Abstract: The use of technological tools in logistics is intended to increase 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 consequences 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.

Keywords: prognostic logistics; intelligent supply chains; automatic identification; AutoID; radio frequency identification; RFID; supply chain management; SCM; human errors; real-time information; error reduction; forecasting; supply chains; failure prediction; hazardous situations; fault diagnosis.

DOI: 10.1504/IJSOI.2007.014517

International Journal of Services Operations and Informatics, 2007 Vol.2 No.2, pp.152 - 163

Published online: 12 Jul 2007 *

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