Abstract

The problem of production flow and evaluation of productivity in the manufacturing line is analysed. Machines can be operated by humans or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred. The main problem is a proper methodology—how can we determine the real difference in work efficiency between human and robot at the design stage? Therefore, an analysis of the productivity and reliability of the machining line operated by human operators or industrial robots is presented. Some design variants and simulation models in FlexSim have been developed, taking into consideration the availability and reliability of the machines, operators and robots. Traditional productivity metrics, such as the throughput and utilization rate, are not very helpful for identifying the underlying problems and opportunities for productivity improvement in a manufacturing system, therefore we apply the OEE (overall equipment effectiveness) metric to present how the availability and reliability parameters influence the performance of the workstation, in the short and long terms. The implementation results of a real robotic line from industry are presented with the use of the overall factory efficiency (OFE) metric. The analysis may help factories achieve the level of world class manufacturing.

Highlights

  • Nowadays one can observe an increasing use of automation and robotization, which replaces human labour

  • The beginning of the design process system limitations. It requires a description of a system representation, i.e., what is going to be of a manufacturing system is conceptual modelling, which involves a problem definition and system modelled and how

  • We take into consideration an example from the automotive industry

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Summary

Introduction

Nowadays one can observe an increasing use of automation and robotization, which replaces human labour. DESthe cannotknowledge be performed real lead manufacturing systems of existing processes is connected the randomness some simulation parametersmodel and, sometimes it can be high cost ofwith industrial machinery.ofThe building of a simulation helps in gaining knowledge that hard to distinguish whether an is a [23]. The beginning of the design process system limitations It requires a description of a system representation, i.e., what is going to be of a manufacturing system is conceptual modelling, which involves a problem definition and system modelled and how [12]. During this step,ofthe use of graphical diagrams e.g., flow limitations. The robotic line isline implemented, and the of obtained results is presented in the in Section the Section

Problem Definition—Manufacturing Process of Engine Heads
Human and Robot Factors Influencing the Production Process
Work Efficiency and Productivity Evaluation
Example—Simulation
Experiments
Industrial
Findings
Conclusions
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