Methods based on artificial neural network (ANN) or deep neural network (DNN) applications have been proposed to predict job cycle time effectively. However, the predicting mechanism of ANNs (or DNNs) is often difficult to understand and communicate. This problem has hindered their acceptability...

Deep neural networks (DNNs) have been applied to predict the cycle times of jobs in manufacturing accurately. However, the prediction mechanism of a DNN is complex and difficult to communicate. This limits its acceptability (or practicability) in real-world applications. An explainable...

This article examines the research literature on the economic aspects of the "Sino-Soviet Alliance", which lasted from the end of the Chinese Civil war until the Sino-Soviet split (1949-1960/63). The Soviet and Eastern European contribution to China's industrialization, called the "largest...

Experts often have unequal authority levels in organizations. However, this has rarely been considered reasonably in solving problems in the manufacturing system. In addition, a fuzzy collaborative estimation method can be more flexible and effective if experts have unequal authority levels. We...

There is a localization wave in the semiconductor industry for pushing wafer foundries to transfer their production capacity to where chip designers are located. The main reasons for the localization of semiconductor supply chains include the US-China trade war, geopolitics, COVID-19, the...

The cycle time of a wafer lot refers to the time that the wafer lot has experienced from its input to output. Predicting the cycle time of each wafer lot is a crucial task for a wafer fabrication factory (wafer fab), but existing prediction methods cannot achieve 100% accuracy. Therefore, if the...

Business cycles and economic growth have long been studied separately, hindering understanding of the nature and causes of economic fluctuations and growth. Here, we present an economic model that incorporates both deterministic trends and persistent fluctuations, derived from a general economic...

Purpose This paper aims to study the motivations for purchasing protective products. Design/methodology/approach Empirical microeconomic research. Findings The results show that comparing with ordinary families, families vulnerable to environmental conditions, including prepregnant, pregnant and...

Comparing the priority order of different agricultural science and technology services adopted by cotton farmers and exploring the influencing factors of agricultural science and technology service adoption by cotton farmers from the perspective of farmer differentiation is significantly...

With the aging of Lithium-ion batteries (LIBs) of electric vehicles in the near future, research on the second use of retired LIBs is becoming more and more critical. The classification method of the retired LIBs is challenging before the second use due to large cell variations. This paper...