The sixth generation(6G)mobile network is envisaged to be commercially deployed around 2030,which will profoundly change people's lifestyles and accelerate the digitalization of society.To ensure that the requirem...The sixth generation(6G)mobile network is envisaged to be commercially deployed around 2030,which will profoundly change people's lifestyles and accelerate the digitalization of society.To ensure that the requirements of 6G can be achieved,it is essential to establish a set of key performance indicators(KPIs).This paper comprehensively assesses the KPIs not only from the service requirements but also from the technical feasibility points of view.Specifically,theoretical derivations of KPIs have been clarified,and numerical evaluations have been conducted with reasonable technical assumptions.Evaluation results show that some KPIs defined from the service requirements can be improved through advanced technologies while some are still challenging for practical implementations,such as Tbps-level peak data rate and 0.1 ms user plane latency.In addition,it is also necessary to comply with multiple KPIs for some cases.Furthermore,based on the technical analysis,the potential enabling technologies are outlined and foreseeable implementation challenges as well as possible solutions are presented,which promotes a more reasonable design for 6G mobile network.展开更多
In production environment today, ＂silo think- ing＂ is a challenge where controlling an asset associated with several disciplines and departments can lead to a sub- optimal result. This requires a more integrated app...In production environment today, ＂silo think- ing＂ is a challenge where controlling an asset associated with several disciplines and departments can lead to a sub- optimal result. This requires a more integrated approach with an integrated planning （IPL） framework. In this framework novel maintenance key performance indicators （KPIs） are needed. The purpose of this article is to develop the novel maintenance KPI profit loss indicator （PLI）. This indicator is based on measuring both on the ＂hidden fac- tory＂ and waste in production, presenting it as a financial measure. The notion ＂hidden factory＂ is used as a meta- phor for measuring the time losses in industry through the maintenance KPI overall equipment effectiveness （OEE）. This indicator divides the time losses into availability losses, performance losses and quality losses. In addition, a financial measure for waste based on literature from Toyota production system （TPS） and waste treatment and disposal is also included in PLI. Through a case study in the saw mill industry PLI is demonstrated and evaluated. It is expected that this indicator will be demonstrated in several industry branches in the future.展开更多
文摘The sixth generation(6G)mobile network is envisaged to be commercially deployed around 2030,which will profoundly change people's lifestyles and accelerate the digitalization of society.To ensure that the requirements of 6G can be achieved,it is essential to establish a set of key performance indicators(KPIs).This paper comprehensively assesses the KPIs not only from the service requirements but also from the technical feasibility points of view.Specifically,theoretical derivations of KPIs have been clarified,and numerical evaluations have been conducted with reasonable technical assumptions.Evaluation results show that some KPIs defined from the service requirements can be improved through advanced technologies while some are still challenging for practical implementations,such as Tbps-level peak data rate and 0.1 ms user plane latency.In addition,it is also necessary to comply with multiple KPIs for some cases.Furthermore,based on the technical analysis,the potential enabling technologies are outlined and foreseeable implementation challenges as well as possible solutions are presented,which promotes a more reasonable design for 6G mobile network.
基金petroleum industry(IO Center)for funding this researchthe support and important input from the Chief Engineer Frode Edvardsen in this company in order to perform the PLI calculations
文摘In production environment today, ＂silo think- ing＂ is a challenge where controlling an asset associated with several disciplines and departments can lead to a sub- optimal result. This requires a more integrated approach with an integrated planning （IPL） framework. In this framework novel maintenance key performance indicators （KPIs） are needed. The purpose of this article is to develop the novel maintenance KPI profit loss indicator （PLI）. This indicator is based on measuring both on the ＂hidden fac- tory＂ and waste in production, presenting it as a financial measure. The notion ＂hidden factory＂ is used as a meta- phor for measuring the time losses in industry through the maintenance KPI overall equipment effectiveness （OEE）. This indicator divides the time losses into availability losses, performance losses and quality losses. In addition, a financial measure for waste based on literature from Toyota production system （TPS） and waste treatment and disposal is also included in PLI. Through a case study in the saw mill industry PLI is demonstrated and evaluated. It is expected that this indicator will be demonstrated in several industry branches in the future.
