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27. October 2017

Web page explains production planning and control

IFA | With the Hanoverian Supply Chain Model, the Institute of Production Systems and Logistics (IFA) has developed a model which links the tasks of production planning and control with logistic actuating variables, control variables and objectives. The model is freely available on a web page for everybody.

For producing companies, it is of great strategic importance to link production planning and control (PPC) processes to predefined logistic objectives. However, companies meet a lot of challenges while designing PPC processes. For example, it is difficult to know which parameter has which influence on logistic objectives, such as stock, throughput time and schedule reliability. 
With the Hanoverian Supply Chain Model, IFA has developed a novel reference model describing the cause-effect relationships in a compact manner. On the web page www.hasupmo.education, users may freely navigate through the model, call up various definitions and display further information with a simple mouse click. 
Industrial companies can employ the model to analyse, optimize or redesign their PPC processes. Furthermore, the model has already been implemented in lectures held at IFA as well as in workshops organized for specialists and executives. 
www.hasupmo.education

by Philipp Schäfers

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Benefits derived from research results

  • Novel reference model for production planning and control (PPC)
  • Modelling of cause-effect relationships between PPC tasks and logistic objectives
  • Versatile use in industry, academic teaching and science
IFA_Lieferkettenmodell_Bild1_01
Dr Matthias Schmidt (left) and Philipp Schäfers of IFA have developed a model which describes the cause-effect relationships in production. (Photo: Alexander Mütze, IFA)
IFA_Lieferkettenmodell_Bild2_DE_01
On the web page, the Hanoverian Supply Chain Model is shown in detail. A simple mouse click displays further information. (Screenshot: www.hasupmo.education)
IFA_Lieferkettenmodell_Bild3_DE_01
PPC parameters, such as safety time, act on logistic objectives. Therefore, companies should define them intentionally. (Graphic: Ina Bierwagen, IFA)
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Dipl.-Ing. Philipp Schäfers, MBA

+49(0) 511 762-18189

schaefers@ifa.uni-hannover.de

www.ifa.uni-hannover.de

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