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Modular System to Reduce the Implementation Time of Simulation Models for Quality and Order Management in Global Production Networks, Research Project PlanQ http://www.qualitaet-netzwerk.de/

anylogic quality-management simulation-model modular-design manufacturing-network order-management global-production-network quality-measures disruptions planq

simulation-model-for-quality-and-order-management-in-global-production-network's Introduction

Abstract

Increasing customer requirements with respect to quality and delivery time of products as well as the increasing pricing pressure result in progressive interdependencies in production networks. Consequently, the complexity of the processes in these production networks increases, making it more difficult to foresee the effects of local disruptions on the entire network. A challenge for companies is to manage production networks in the best way possible in order to guarantee the required product and process quality. The design of the quality assurance strategy requires an integrated consideration of quality, production and logistics processes in the entire network.
Therefore, this simulation model was developed as a tool to simulate the effects of these disturbances and thus to make the connections in the network more transparent. The simulation model supports the planning of control strategies and the implementation of quality measures in global value networks. The quality and performance of the simulated production networks are evaluated using a performance indicator system. One key aspect is the modularity: The model is applicable to different production network structures. Another aspect is the user-friendly implementation and design of the simulation model in order to ensure the practical use of the tool.

How To

A description on how the model works can be found here.
The AnyLogic-file as well as all necessary Excel-files are provided in the zip-file Produktionsnetzwerk.

Research Project

Logo

This simulation model was developed at the wbk Institute of Production Science which is part of the Karlsruhe Institute for Technology (KIT) within the scope of the research project PlanQ. This research has been supported by the research project PlanQ (19421 N/1) of the Bundesvereinigung Logistik (BVL) e.V., Schlachte 31, 28195 Bremen, Germany which is funded by the AiF within the programme for sponsorship by Industrial Joint Research (IGF) of the German Federal Ministry of Economic Affairs and Energy based on an enactment of the German Parliament.

http://www.qualitaet-netzwerk.de/

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