Development of a process model for multi-project planning and control in the factory (MPPS-Fabrik)
Final Report Abstract
Today more than ever, companies are forced to initiate projects regularly in their factories to ensure competitiveness through constant adaptation and change. In the process, the planning and steering of various projects often overlap, varying in duration, scope, and complexity. Due to their generality, existing models of multi-project management have deficits concerning the tasks that specifically arise in the factory. Due to limited resources, dealing with these numerous parallel projects requires effectively selecting suitable projects at the right time and considering the correct allocation of resources. Due to these challenges, conventional project management in factories must be extended to include systematic, efficient, and powerful multiproject management. For this purpose, existing approaches from the areas of multi-project management (MPM) and production planning and control (PPC) were considered for comparison within the framework of the MPPC-Factory research project. Using a deviation analysis, the aim was to systematically record possible gaps, differences in focal points, levels of abstraction, and degrees of detail. Subsequently, a comprehensive knowledge base of multiproject planning and control (MPPC) in the factory was developed based on this deviation analysis. Subsequently, the task processing of MPPC was developed as the first central component of the process model. The tasks were put into a processing sequence, responsibilities were assigned, and finally, sorted into the project management phases. A profile was created for each task, which contains possible methods, incoming and outgoing information, and other literature in addition to the goal and description of the task. An impact model was created as the second main component of the process model. Based on the analogy between MPM and PPC, the model components necessary for modelling were first transferred to the context of MPPC. As a result, actuating, control, and target variables, including their interdependencies, were considered for the MPPC model. Qualitative graphing allows statements regarding positioning in the case of contradictory options for action. By linking the two main components of the process model, realising the pursued influence on the target variables was made possible based on task processing. In validation interviews with experts, the approaches of the process model could be checked with their potential benefits and critically reflected. The developed process model could conclusively answer the research questions. In addition, there were some indications for further research activities that could build on the results of this work.
Publications
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Introduction Of A Concept For Planning And Controlling Multi-Project Environments In Factories, Journal of Production Systems and Logistics 1; Volume 1(9)
Hook, J.; Nielsen, L. & Nyhuis, P.
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Einfluss des Multiprojektmanagements auf Fabrikziele/Influence of multi-project management on factory goals – Developing a process model for planning and controlling multi-project environments in factories. wt Werkstattstechnik online, 112(04), 216-220.
Hook, Justin; Nyhuis, Peter & Nielsen, Lars
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Introducing a Fast Lane to Multi-Project Environments in Factories to Focus on Digital Transformation. IFIP Advances in Information and Communication Technology, 157-164. Springer Nature Switzerland.
Hook, Justin; Nielsen, Lars & Nyhuis, Peter
