Automated Processing of Planning Modules in Factory Planning by Means of Constraint Solving Using the Example of Production Segmentation

Julian Graefenstein (), David Scholz, Oliver Seifert, Jan Winkels (), Michael Henke and Jakob Rehof
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Julian Graefenstein: TU Dortmund, Chair of Enterprise Logistics
David Scholz: TU Dortmund, Chair of Enterprise Logistics
Oliver Seifert: TU Dortmund, Chair of Software Engineering
Jan Winkels: TU Dortmund, Chair of Software Engineering
Michael Henke: TU Dortmund, Chair of Enterprise Logistics
Jakob Rehof: TU Dortmund, Chair of Software Engineering

A chapter in Customization 4.0, 2018, pp 157-172 from Springer

Abstract: Abstract For the adaption of factories, essential data are required as a basis in factory planning. Often these data are either stored in some form, at some location, or on some data medium, respectively, or are not available at all. Preparing these data for the planning process in a planning-appropriate manner can result in high effort. In order to counteract this situation, a data warehouse system can be used in the context of Business Intelligence for initially providing the data in a centralized and consistent form. The advantages of an up-to-date and consistent data base are shown by an example of the production segmentation. With the planning of the factory adaption by means of planning modules, which can be orchestrated individually, it is possible to process planning tasks automatically or partly automated. A given example of a vice production, which can be produced in four variants, was used to show the benefits and explain the approach in detail. Constraint solving, the modular planning process and the data available in the data warehouse enable the segmentation to be processed automatically and thus reduce planning time.

Keywords: Factory planning; Planning modules; Constraint solving; Production segmentation; Data warehouse (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-77556-2_10

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