A Simulation of the Pharmaceutical Supply Chain to Provide Realistic Test Data

The amount of counterfeit pharmaceuticals in the Europeanpharmaceutical supply chain increased enormously inthe past years. Thus, the European Commission introducedan amendment which will lead to new information systems.No realistic test data for these information systems isavailable yet which hinders the progress in designing andimplementing appropriate information systems. We make afirst step to close this gap by providing realistic test datawhich respects the upcoming legislative changes. For thispurpose, we provide four different scenarios which differ insupply chain size and an aspect of the legal requirementswhich is still subject to consideration. The test data isavailable on the web, so researchers and software engineerscan use it to evaluate their information systems.

[1]  J. Ayers Supply-Chain Council , 2000 .

[2]  Markus Ettl,et al.  Experience using the IBM Supply Chain Simulator , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[3]  Stephen John Turner,et al.  Distributed supply chain simulation across enterprise boundaries , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[4]  The arena product family: enterprise modeling solutions: the arena product family: enterprise modeling solutions , 2003, WSC '03.

[5]  Hessam S. Sarjoughian,et al.  Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing , 2005, Proceedings of the Winter Simulation Conference, 2005..

[6]  Richard J. Lipton,et al.  Hints on Test Data Selection: Help for the Practicing Programmer , 1978, Computer.

[7]  Antal van den Bosch,et al.  A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs , 2006, Data Mining and Knowledge Discovery.

[8]  Randall P. Sadowski,et al.  Simulation with Arena , 1998 .

[9]  S. L. Gerhart,et al.  Toward a theory of test data selection , 1975, IEEE Transactions on Software Engineering.

[10]  J. Schweim,et al.  [Internet pharmacies and counterfeit drugs]. , 2009, Medizinische Klinik.

[11]  Wil M. P. van der Aalst,et al.  A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs , 2005, Data Mining and Knowledge Discovery.

[12]  H. Plattner,et al.  A Software as a Service RFID Middleware for Small and Medium-sized Enterprises , 2009 .

[13]  Meikel Pöss,et al.  MUDD: a multi-dimensional data generator , 2004, WOSP '04.

[14]  M. Ilyas,et al.  RFID Handbook: Applications, Technology, Security, and Privacy , 2008 .

[15]  Frédéric Thiesse,et al.  Discovery Service Design in the EPCglobal Network , 2008, IOT.

[16]  Jayadev Misra,et al.  Distributed discrete-event simulation , 1986, CSUR.

[17]  Yun Bae Kim,et al.  Supply chain simulation with discrete-continuous combined modeling , 2002 .