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Optimization of replacement times of soft parts in gas pressure control systems

Dijks, J.P. (2017) Optimization of replacement times of soft parts in gas pressure control systems.

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Abstract:The main goal of the reported research work is to develop a model to determine the optimal replacement times of certain parts, known as soft parts, of gas pressure control components at gas delivery stations of Gasunie. These replacement times are based on costs (replacement and failure costs) and availability effects. Availability effects, in this context, refer to the consequences of reaching a low availability level of gas delivery stations. A low availability level results in large costs and low scores on KPI targets. To determine the optimal replacement times, a discrete event simulation model is developed in Excel VBA. With this model, the optimal thresholds for opportunistic and preventive replacements of the soft parts are determined. Next to these optimal replacement times, the effects of decreasing the permanent supply disruption levels on total costs are analysed. Permanent supply disruption is defined as “the impossibility to order all required units at OEMs or other allowed manufacturers”. The permanent supply disruption level could be decreased by either offering extra money to the OEMs to restart the production of the soft parts, or allowing the use of soft parts produced by other manufacturers. Another analysed option is the temporary use of replicated soft parts. The temporary use of replicated soft parts could save the costs of launching an emergency installation. The costs savings of this option are analyzed as well. Finally, an analysis is reported towards the potential costs savings by opportunistic replacement of complete components that suffer permanent supply disruptions of soft parts. The results of the described analyses could be used by Gasunie to determine the replacement strategies of (soft parts of) gas pressure control components at gas delivery stations in the coming years.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:30 exact sciences in general, 50 technical science in general, 85 business administration, organizational science
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/74264
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