In recent years, there have been frequent cases of impact on the stable development of
supply chain economy caused by uncertain events such as COVID-19 and extreme weather …

Vehicle routing problems (VRPs) have been the subject of intense and fast-growing
research for the last six decades. These problems have received much attention in …

Multi-class sentiment classification is a valuable research topic with extensive applications;
however, studies in the field remain relatively scarce. In the present paper, a method for …

During recent years, horizontal collaboration in logistics has gained attention because of
achieved potential benefits such as cost reduction, an increase in fulfillment rates, and a …

The purpose of this paper is to develop a compromise-typed variable weight decision
method for solving hybrid multiattribute decision making problems with multiple types of …

Multi-stage resource leveling problem in sharing logistics network is a multi-objective
optimization problem, which is strongly non-deterministic polynomial hard in open loop …

Surrogate models, which have become a popular approach to oil‐reservoir production‐
optimization problems, use a computationally inexpensive approximation function to replace …

In logistics operation, delivery times are often uncertain for customers, and accommodating
this uncertainty poses operation challenges as well as extra cost for logistics service …

With the growing interest in win–win cooperation within the logistics industry recently,
collaborative multicenter logistics networks have witnessed the establishment of numerous …

The excellent generalization performance of time series ensemble forecasting depends on
the accuracy and diversity of the individual models. In this paper, a heterogeneous …