TY  - CONF
A1  - Steinlein, Felix
A1  - Liu, Yuan
A1  - Stich, Volker
A2  - Nyhuis, Peter
A2  - Herberger, David
A2  - Hübner, Marco
T1  - Development of a decision support app for short term production control to improve the adherence to delivery dates
T2  - Proceedings of the 1st Conference on Production Systems and Logistics (CPSL 2020)
N2  - In manufacturing, adherence to delivery dates is one of the main logistic goals. The production control department has to cope with short-term deviations from the planned route sheets. Because of unforeseen disruptions, e.g. machine breakdowns or shortage of material or personnel, in some situations, the promised delivery date to the customer is at stake. In practice, a fast and reasonable decision on how to deal with the delayed order is required. This decision process is often based on a qualitative analysis relying on the planner’s subjective assessment of a complex situation. To improve the quality of possible countermeasures this paper presents an application, which supports the decision process through a quantified analysis using real-time data from business application systems in combination with a simulation of the value stream. The developed app is part of the decision process and estimates the effect of selected countermeasures to accelerate a delayed order. Performance indicators illustrate the effect of the countermeasures on the specific order as well as the whole system. This approach empowers the planner to assess unforeseen situations and aims to improve the quality of the decision-making process. This paper describes the architecture of the application, its simulation ecosystem, the relevant data and the decision process to select the most effective countermeasures.
KW  - Entscheidungsunterstützung
KW  - SV7289
KW  - Produktionsplanung und -steuerung
KW  - Production Control
KW  - Decision Support
KW  - Discrete Event Simulation
KW  - Adherence To Delivery Dates
KW  - Disturbance Management
Y1  - 2021
UR  - https://epub.fir.de/frontdoor/index/index/docId/548
UR  - https://www.repo.uni-hannover.de/handle/123456789/9742
SP  - 438
EP  - 447
PB  - Institute for Production and Logistics Research GbR
CY  - Hannover
ER  -