| Theme | XXL products, Production planning |
|---|---|
| Project title | Developing a simulation-based methodology for multi-site assembly control (BauSim) |
| Project duration | 01.05.2012 – 30.09.2015 |
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| Press release |
Publications about the project
In multi-site assembly, problems such as defective tools require assembly control to react promptly in order to avoid negative consequences, such as deferred deliveries or additional costs. A method is presented which uses statistical online simulation based on structured assembly plans to quickly identify and evaluate possible options for dealing with a problem. Furthermore, the structure and procedure of a purpose-built simulation system is shown in this article.
assembly control, simulation, production planning and control, failure management
Planning in a multi-site, non-mass production environment is a special challenge because of several sources of uncertainty. Unlike in mass production facilities, in our setting the current state is not easily and exactly known when the case of re-planning occurs. The planning procedure has to contribute to that fact, as well as to further uncertainties concerning the effects of a plan when evaluating the plan. Thus in this work, we apply online simulation as means for re-planning multi-site production in the case of resource failure. This work is a first step where two alternatives are considered when a resource fails: either wait for repair of the resource, or transport another instance of this resource from another site, if there is more than one available. Our study shows that the planning using online simulation is superior to a static strategy such as 'always wait for repair' or 'always import resource' in case of resource failure.
assembly control, simulation, production planning and control, failure management
In multi-site assembly, problems such as defective tools often cause delays. In order to avoid deferred deliveries and increased costs, assembly control is required to promptly determine a new assembly plan. A research project aims to develop a software support system which assists assembly control in the replanning process by applying online simulation to quickly identify possible plan alterations and evaluate their expected impact on logistical key figures.
assembly control, simulation, production planning and control, failure management
