Model Development of Logistical and Economic Performance Evaluation as Decision Support

Doctoral Thesis / Dissertation from the year 2008 in the subject Business economics - Supply, Production, Logistics, grade: erfolgreich bestanden, University of Bratislava, language: English, abstract: The competitive environment of the supplier industry has changed vitally during recent years. Significant changes of the market environment result from increasing complexity and dynamics due to increased equipment diversity and the reduction of the model lifespan of the OEM's vehicles. Additionally, the cost pressure is growing and the in-house production depth and the customer individual ways of supply are reduced, which results in extensive changes to the supply chain. In order to meet dynamic requirements in the changed competitive environment and to react on the related necessary modifications of company structures with appropriate measures, a significant improvement of the changeability and velocity of the supplier companies regarding the current market situation must occur. However, these demanded changeability, or designing exercise of influence, and velocity imply primarily that companies have knowledge about the own technical and economics effects based on the dynamic demands of the OEM. Furthermore, an active, realistic decision finding always implies the consideration of interrelations both of internal (inside the production plant) and external supply chains (for instance the delivery concept between supplier and customer) of a logistical system. Additionally, the demand of a flexibly designed supply chain applies. From this perspective, the impression arises that logistical systems for decision-making and support do not require isolated standard tools but individual models and development methods that comply with their specific character. As a result, a procedure for model development including the realisation of an industry specific, system supported logistical cost effect model to illustrate and evaluate increasingly differentiated logistical customer demands alongside the supply chain has been developed in this study. The concept simulation for developing cost minimal decision alternatives and the technical and economic logistical performance evaluation, which was based on this, were in the main focus of the objective.