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2016
Doctoral Thesis
Titel
Mathematische Modellierung zur Optimierung der Wertschöpfungsverteilung nach quantitativen und qualitativen Kriterien in Produktionsnetzwerken der diskreten Fertigung
Alternative
Mathematical modelling for optimizing the distribution of value-added activities considering quantitative and qualitative criteria in production networks of discrete manufacturing
Abstract
Durch die Internationalisierung entstehen komplexe Produktionsnetzwerke, die - ganzheitlich betrachtet - in der Regel unvorteilhaft fragmentiert sind. In dieser Arbeit wird eine Methode bereitgestellt, die die Wertschöpfungsverteilung in bestehenden Produktionsnetzwerken nicht nur nach quantitativen, sondern auch nach qualitativen Kriterien optimiert. Dies wird durch den Einsatz der multikriteriellen Optimierung erreicht, die eine integrierte Betrachtung von Kosten, Erfolgspositionen und Risiken zulässt. Weitere Innovationen werden im Bereich der umfassenden und flexiblen Berücksichtigung von Netzwerkpartnern, von Wertschöpfung und qualitativen Kriterien erzielt. Die entwickelte Methode wird anschaulich an zwei Fallbeispielen aus der Automobilzulieferindustrie und dem Maschinenbau erklärt. Somit werden Unternehmen befähigt, nachhaltige Entscheidungen hinsichtlich ihrer Wertschöpfungsverteilung zu treffen und damit ihre Wettbewerbsfähigkeit zu steigern und Unternehmensexistenz zu sichern.
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Internationalization has created complex production networks, which, for the most part, have evolved over many years, and, taken as a whole, are usually inconveniently fragmented. Therefore, the challenge that companies are faced with at the moment is to optimize existing structures to gain competitive advantages. Current optimization efforts are dominated by cost-based methods and decision-making behavior. Qualitative criteria, however, are not or insufficiently taken into account. Often, this results in wrong decisions which may threaten the existence of a company. The aim of this work is to provide a method which optimizes the distribution of valueadded activities in existing discrete production networks in an integrated manner according to quantitative and qualitative criteria. This is achieved by a multi-criteria optimization approach. First and foremost, the developed method is based on mixed-integer linear mathematical modeling. It allows for integrated optimization according to costs, success factors, and risks. A software program helps to generate the optimal solution. The modeling technique is based on a specific logic for representing reality. The innovative aspect of this logic is that network partners, value added, and qualitative criteria are considered in a comprehensive and flexible manner. The representation of reality is supported by a graphical user interface. To handle the mathematical optimization procedure in a simple and efficient way, a method is offered which includes sensitivity analyses. The developed approach has been tested in case studies within the automotive supply and the mechanical engineering industry, demonstrating its usefulness. Companies are empowered to make sustainable choices concerning the distribution of value-added activities and thus enabled to increase their competitiveness and ensure business continuity.
ThesisNote
Zugl.: Stuttgart, Univ., Diss., 2016