Logo Leibniz Universität Hannover
Logo: IFA - Institut für Fabrikanlagen und Logistik
Logo Leibniz Universität Hannover
Logo: IFA - Institut für Fabrikanlagen und Logistik
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WiMo - Development of a model for the quantitative description of logistical cause-effect-relationships for different forms of assembly organization.

Duration:2017 - 2019
Funded by:DFG
Contact:pmifa.uni-hannover.de

Bild WiMo – Entwicklung eines Modells zur quantitativen Beschreibung logistischer Ursache-Wirkungs-Beziehungen für unterschiedliche Montageorganisationsformen

Industrial companies are facing increasing competitive pressure. The logistical efficiency and, in particular, adherence to deadlines for production remain a key competitive factor in order to assert itself against competitors on the market. However, many industrial companies have problems meeting their own logistical performance requirements, especially with respect to adherence to deadlines. The reasons lie in the complex cause-effect relationships within logistics, which makes it difficult for industrial companies to assess the impact of a logistics measure. Companies therefore need suitable tools to assess and calculate the impact of a measure on logistical performance and to be able to select suitable measures. The description of complex cause-effect relationships by means of so-called logistical models provides companies with transparent and user-friendly support for the design and control of their logistical processes. Influencing variables are systematically structured and their impact on adherence to delivery dates is made available in a quantitative description. The knowledge gained on the basis of logistical models can be used to design and control the logistics process in order, on the one hand, to determine the optimum measures for increasing productivity, e. g. by optimising logistics processes. and on the other hand to quantitatively estimate the impact of the measures on adherence to deadlines.

In particular, assembly plays a central role as the convergence point for upstream processes in terms of the logistical efficiency of the internal supply chain. Many process disruptions in the preceding processes are only visible during the assembly process, so that the logistical efficiency of the assembly process is significantly influenced by the supply processes. As a process with a high proportion of manufacturing costs, assembly represents not only an important variable for logistical efficiency, but also contributes significantly to the profitability of the company.

For this reason, the proposed project aims to develop an impact model for quantitative estimation and calculation of the interdependencies of logistical targets in assembly with different organisational forms. Various logistical factors are taken into account as input variables, such as the frequency distribution of the date deviation of the supply processes, the type of assembly organization form or the number of components per assembly order. With the aid of the developed effect model, for example, it is possible to achieve the following results The effects of a more punctual provision of components are quantitatively assessed and the effects on the assembly process are then calculated with regard to key logistical key figures such as current inventory or adherence to deadlines.

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