Impact of Machine Reliability Data Uncertainty on the Design and Operation of Manufacturing Systems

Towards Best Practices in the Engineer-to-Order Business: A Framework for the Structured Analysis of Commissioning Processes

“…The investigation of the dependence between the product design and the commissioning phase has been identified as a valuable path of research (Colledani et al, 2018 Terwiesch and Bohn, 2001), but detailed investigations into that relation are scarce. Colledani and Yemane (2013) focus on the improvement of decisions made in the design of multistage manufacturing systems. Although the purpose of the study is to overcome data uncertainty, the proposed approach is heavily data-driven and therefore unfit to be applied in an environment characterized by a challenging information management such as ETO businesses.…”

Production quality improvement during manufacturing systems ramp-up

“…This research area provides integrated analytic models, implemented within digital tools, for the analysis of the effective throughput in multi-stage systems, directly considering the interaction between quality, logistics and maintenance aspects. Among these, in [28] the authors developed a model of a multi-stage asynchronous serial line where machines are subject to failures and degradation. In operational states, the production of defective items is considered.…”

“…However, these data are usually emerging from the system behavior once the system is installed. In [28], the effect of uncertain reliability parameters estimates on the subsequent system design decisions is investigated. The authors show that, in order to cope with this uncertain information, a robust system design should be performed, resulting in a more-expensive over-capacitated configuration that can better cope with the ramp-up phase.…”

مدلی ریاضی برای طراحی خط تولید با رویکرد بهینه‌سازی پایایی در شرایط عدم قطعیت

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