simulation study

Assistance for Simulation in Production and Logistics

Assistance for Simulation in Production and Logistics

A literature-based classification
Sigrid Wenzel ORCID Icon, Felix Özkul, Robin Sutherland ORCID Icon
Despite the commercial availability of simulation tools, using of discrete-event simulation for complex production and logistics systems is becoming increasingly challenging. It requires extensive expertise, high data quality, and considerable time and financial resources. For many years, therefore, there has been high demand for methodological and organizational support for the conduction of simulation studies. This article is based on an analysis of relevant publications and aims to classify previous research on improving the use of simulation. It also raises the question of the need for assistance in applying discrete event simulation and identifies areas for action.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 66-76 | DOI 10.30844/I4SE.25.5.64
Efficient Production Simulation

Efficient Production Simulation

A method for software-supported collaboration between production and simulation experts
Marec Kexel, Walter Wincheringer
Production simulations involve considerable effort, among other things, due to the knowledge transfer between the domain expert and the simulation specialist. For small and medium-sized companies, this often represents an economic hurdle in the use of simulation. In this article, a method for a software- supported cooperation between the production expert and the simulation specialist is presented, which leads to a considerable reduction in effort. This means that the advantages of simulation can be used economically even with low optimization potentials.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 6 | Pages 46-50 | DOI 10.30844/IM_23-6_46-50
Approaches to Support Discrete-event Simulation as a Knowledge-intensive Process

Approaches to Support Discrete-event Simulation as a Knowledge-intensive Process

Dennis Abel, Markus Schmitz, Sigrid Wenzel ORCID Icon
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.
Industrie Management | Volume 28 | 2012 | Edition 3 | Pages 7-11