Autor: Dennis Abel

Due to the high requirements of customers, logistics service providers are getting under pressure to improve their processes more efficiently and economically. In this context, the advancing automation and digitalization in all industrial sectors are producing a multitude of innovative solutions which will help solving the problems mentioned before [1]. The resulting sociotechnical systems created this way are often not in the focus due to the new technology. In this study, a project procedure will be presented as a recommendation which will help to introduce an innovation − in this case especially for an automatic guided vehicle− in consideration of the aspects of socio-technical systems.

New and unique tasks are regularly solved in interdisciplinary and sometimes cross-company teams. Thus, the necessary expertise can be combined for the collective success of projects. In this project-specific organizational form the advantages of collective intelligence can be used. Unfortunately, the acquired additional experience in project knowledge is often not systematically rooted in the company after the project expired. There are also specific challenges of SME projects. A project-based networking of expertise in terms of Corporate Capability Management often requires new approaches and tools. The idea for a simulation-based project management with integrated logistics could be forward-looking. It is based e.g. on the development and utilization of reference plans as well as project- and logistic-scenarios. Thereby, step by step experience and process improvements can be integrated.

Planning, design and continuous improvement of today’s complex corporate structures and technical systems require a sophisticated level of extensive know-ledge of technology, processes and IT. To apply planning and simulation tools effectively and efficiently engineers and plant operators have to rise to the challenge to use their knowledge in a goal-oriented way and to expand it within creative processes. Consequently, knowledge is more than ever a key productivity factor and an important component of corporate capital. Against this background, the article discusses possibilities for systematization and standardization in simulation studies and especially approaches to increase productivity in simulation studies by supplying assistance functions as well as systematic evaluation methodologies.

Changeability is the capability of an organization to establish changes with a lasting effect. The possibility to correctly plan and create changeability of an organization already in the phase of plan-ning is an essential factor to be taken into account when considering changeable logistics systems. For this reason there is a need for conceptual change of established planning methods. In the context of discrete-event simulation, as an established planning method, the modular design of simulation models may be a first step to include changeability into model-based analysis. Against this background, This article discusses possibilities to build modular simulation models and shows how this modular design can be used in practice.