In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …

Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

Most studies focused on the introduction of new technologies have not investigated the
psychological factors affecting the willingness to use them or conducted empirical studies to …

This study is, to our knowledge, the first in the literature to introduce a modeling framework
for analyzing traffic crash frequency based on a series of ensemble machine learning (EML) …

The pavement performance model is a basic part of the pavement management system. The
prediction accuracy of the model depends on the number of effective variables and the type …

The excessive use of natural resources, the high level of waste generated, and the improper
disposal of hazardous chemicals have resulted in significant environmental harm, which has …

Over the last decades, researchers have studied one of the most complex combinatorial
problems, ie, the Concrete Delivery Problem (CDP), set different formulations of it …

Sustainability represents a critical challenge in the construction industry and many
approaches have been developed to reduce the environmental impact of on-site …

In this study, the problem of integration of ready-mixed concrete (RMC) production
scheduling and truck and pump dispatching in an RMC plant with multiple mixers is focused …

Duration of concrete pouring task is typically considered from the arrival time of the first
Ready Mixed Concrete (RMC) truck until the end of the pouring process of the last truck. In …