This paper aims to derive the optimal switching strategy for production system considering efficiency, delivery time and green evaluation. Nowadays more and more manufacturing and logistics systems not only pursue bet...This paper aims to derive the optimal switching strategy for production system considering efficiency, delivery time and green evaluation. Nowadays more and more manufacturing and logistics systems not only pursue better work efficiency, but also focus on green energy evaluation issues. Cost reduction and shortening of delivery time are always important management issues in pursuit of efficiency and optimization of the entire production system because of global production competition. In a market situation where customer needs change in various ways, in particular, due to inadequate quality, changes in the local environment, natural disasters and so on. Therefore, prompt planning of management measures such as switching work processes and changing production methods has become an important issue. On the other hand, since the Paris Agreement came into effect, the construction of an environment-friendly production system has been required as an approach to environmental problems such as global warming. In this paper, we propose an optimum switching model of production systems considering efficiency, delivery time and green evaluation using a green evaluation index (GEC: Green Energy Coefficient). We also discuss the optimal switching strategy by numerical observation.展开更多
Dear Editor,Intensive treatments such as primary androgen deprivation therapy(pADT)plus docetaxel or abiraterone acetate are reportedly beneficial in metastatic prostate cancer(mPCa)patients with high-volume disease o...Dear Editor,Intensive treatments such as primary androgen deprivation therapy(pADT)plus docetaxel or abiraterone acetate are reportedly beneficial in metastatic prostate cancer(mPCa)patients with high-volume disease or high-risk features,respectively.1,2 High-volume or high-risk features are determined exclusively via pretreatment parameters.Predicting patient responsiveness to pADT,which is one of the major determinants of survival in these patients,would be advantageous with regard to making primary treatment decisions.If an initial 3-month period is possible,short-term serum parameter dynamics can be used to predict pADT responsiveness.Prostate-specific antigen(PSA)and alkaline phosphatase(ALP)dynamics have been indicated as potential predictors.3,4 Although pADT can reportedly cause a 20%-30%decrease in adrenal androgen levels,5 it is not known whether the dynamics of adrenal androgens shortly after the initiation of pADT can predict pADT responsiveness.The aim of the current study was to identify predictors of pADT responsiveness among pretreatment parameters and 3-month dynamics(D3m)of serum parameters including the adrenal androgen,dehydroepiandrosterone sulfate(DHEAS).展开更多
文摘This paper aims to derive the optimal switching strategy for production system considering efficiency, delivery time and green evaluation. Nowadays more and more manufacturing and logistics systems not only pursue better work efficiency, but also focus on green energy evaluation issues. Cost reduction and shortening of delivery time are always important management issues in pursuit of efficiency and optimization of the entire production system because of global production competition. In a market situation where customer needs change in various ways, in particular, due to inadequate quality, changes in the local environment, natural disasters and so on. Therefore, prompt planning of management measures such as switching work processes and changing production methods has become an important issue. On the other hand, since the Paris Agreement came into effect, the construction of an environment-friendly production system has been required as an approach to environmental problems such as global warming. In this paper, we propose an optimum switching model of production systems considering efficiency, delivery time and green evaluation using a green evaluation index (GEC: Green Energy Coefficient). We also discuss the optimal switching strategy by numerical observation.
文摘Dear Editor,Intensive treatments such as primary androgen deprivation therapy(pADT)plus docetaxel or abiraterone acetate are reportedly beneficial in metastatic prostate cancer(mPCa)patients with high-volume disease or high-risk features,respectively.1,2 High-volume or high-risk features are determined exclusively via pretreatment parameters.Predicting patient responsiveness to pADT,which is one of the major determinants of survival in these patients,would be advantageous with regard to making primary treatment decisions.If an initial 3-month period is possible,short-term serum parameter dynamics can be used to predict pADT responsiveness.Prostate-specific antigen(PSA)and alkaline phosphatase(ALP)dynamics have been indicated as potential predictors.3,4 Although pADT can reportedly cause a 20%-30%decrease in adrenal androgen levels,5 it is not known whether the dynamics of adrenal androgens shortly after the initiation of pADT can predict pADT responsiveness.The aim of the current study was to identify predictors of pADT responsiveness among pretreatment parameters and 3-month dynamics(D3m)of serum parameters including the adrenal androgen,dehydroepiandrosterone sulfate(DHEAS).
