Optimization of Production Processes in SMEs: Practical Methodology for the Acquisition of Process Information

Winkler, H.; Franke, Felix; Franke, Susanne; Riedel, Ralph

doi:10.1007/978-3-031-16407-1_7

Cited by 2 publications

(3 citation statements)

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“…However, it is possible to reflect and be inspired by them when solving optimization. In the conclusions of their paper, the authors [3] do not describe their results in quantified values, but they state the beneficial effect of digitization in their improvement. In our contribution, looking at the best optimization variant, it is possible to say that under certain circumstances the output from the production process was almost doubled and also elements of digitization were used, under which the simulation clearly falls.…”

Section: Discussionmentioning

confidence: 94%

“…These models served as the basis for digitization in the manufacturing process we investigated. Based on its digitization, it was subsequently possible to perform experiments in optimization variants [3,21,22]. All proposed optimization variants are also verified using simulation models that provide relevant results for these designs.…”

Section: Discussionmentioning

confidence: 99%

“…Getting to know the issue is an essential part of the job. It will ensure that the analysis, design, and implementation of solutions lead to the desired results with an emphasis on the elimination of inaccuracies and errors [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Application of Simulation in the Optimization of the Blood Plasma Storage Process

2023

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The paper deals with the process of optimizing the creation of the output product, which is the Cobas HIV-1 blood plasma separation card. The capabilities of the Tecnomatix Plant Simulation software will be used in this process. The application of simulation software will help to reveal the possibilities of improvement during the entire production process of the said product and to debug all potential improvement errors on the digital model without physically interfering with the current production process. The paper contains a basic theoretical clarification of some basic terms. The following content describes individual parts of the production process in question. An analysis will be carried out, on the basis of which the most significant bottlenecks will be revealed. The data used to create the simulation were collected based on the recording of working time and its use on the given production line. This kind of observation also revealed initial bottlenecks. For these bottlenecks, a methodology for their effectiveness and criteria for their optimization is subsequently proposed. Subsequently, an optimization solution is proposed, which is verified and evaluated by simulation. The collected data were then transferred to a digital model in the form of a simulation. Based on the results of the simulation, the given optimization proposals will be evaluated at the end. Production on the line has been optimized gradually and thanks to this we can see several variants that can be compared, and the best one can be chosen. The development of the entire optimization process is the possibility to increase the production output from the original 350 produced pieces up to 699 pieces in the same time horizon. In the process of optimization, methodologies were created that followed it and gave instructions for the optimization of productions of a similar nature. In addition to the mentioned optimization simulation variants, the paper also contains a design solution proposal in the form of 3D models, when several workstations are united into one workstation.

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%