Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Abstract

Manufacturing is an important part of the modern economy. It is characterized by complexity in terms of systems, approaches, and interactions with intrinsic and extrinsic factors. Numerous efforts have been developed to use modeling and simulation tools to improve manufacturing efficiency and productivity and to achieve maximum quality, especially with the different mutations in the factories of today. This paper reviews the conventional and modern tools used in manufacturing system design and production improvement. Challenges that need to be addressed by the simulation community are discussed in depth. Finally, the evolution, advances, current practices, and future opportunities are discussed in the context of the contemporary manufacturing industry.

Ontology Development for Knowledge Representation of a Metrology Lab

“…The digital transformation applied in the metrology field fosters the adoption of information technologies [41]. It supports the integration of sensor measurements to assess product and control quality [42], along with path planning for automated inspections [43]. In this sense, ontologies enable the knowledge representation of industries and measuring processes in quality inspection and control [44].…”

Improving Material Flow in a Modified Production System

“…Various simulation models are used to develop and improve production processes and systems. An appropriate model formulation describes the function and interaction with the various related elements and is based on data analysis and research (Alquraish, 2022). The use of simulation to analyse material flows helps in the evaluation and planning of these flows (Silva et al, 2021).…”

An Approach for the Evaluation of a Measurement System: A Study on the Use of Machine Learning and Predictions

“…In this way, low-quality production is prevented from reaching the consumer and additional costs for the manufacturer are avoided. Different tools for improving manufacturing systems are discussed in [3], showing existing practices and some challenging issues. Quality control is related to the choice of a system for measuring product-typical parameters, which must meet certain criteria, such as precision, accuracy, stability, and reliability.…”