This intellectual researches into the realm of data quality and its profound impact on data
analytics. The immaterial begins by elucidating the multifaceted dimensions of data quality …

The production transportation problem is a famous NP-hard problem which is a challenge to
be solved. This study develops a deterministic annealing neural network method based on …

Previous scheduling theory assumes that manufacturers have enough manufacturing
resources (machines), therefore, rental costs and dynamic changes in machine number are …

Stochastic scheduling has received much attention from both industry and academia.
Existing works usually focus on random job processing times. However, the uncertainty …

In Industry 4.0, the production planning and execution of smart factories (SFs) full of
continuously delivered small-batch orders become dynamic and complicated. Traditional …

The world trade globalization process has triggered growing attention to port-centric supply
chain (PCSC) management, wherein the land transport and maritime transport are …

This paper considers an integrated scheduling problem in an e-commerce supply chain. The
supply chain consists of heterogeneous suppliers, consumer-goods manufacturers that offer …

Planning decisions are generally subject to some level of uncertainty. In forestry, data
describing the resources available have a major impact on operations performance and …

In recent years, the individualized demand of customers brings small batches and
diversification of orders towards enterprises. The application of enabling technologies in the …

This paper addresses a coordination problem of production and green transportation and
the effects of production and transportation coordination on supply chain sustainability in a …