Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …

Supply chain and logistics management for spare parts is of key importance in the maritime
industry, in order to ensure high availability and reliability of assets, while keeping operating …

Clustering is one of the data mining methods that partition large-sized data into subgroups
according to their similarities. K-means clustering algorithm works well in spherical or …

After-sales and aftermarkets are significant revenue streams for industrial companies. After-
sales services are activities during warranty periods that include field technical assistance …

In this study, a capacitated vehicle routing problem (CVRP) which dealt with minimum
distance routes for vehicles that serve customers having specific demands from a common …

One of the most applicable versions of the Vehicle Routing Problem (VRP) which has been
widely studied in logistic services is Capacitated Vehicle Routing Problem (CVRP). There …

Recent developments in information technology generating massive amount of data are
referred to as big data. Such data with variety and velocity pose a challenge to supply chain …

In land transportation, due to the importance of this business and competition between
active organizations in this field, applying new technologies in management and making …

Thousands of victims and millions of people are affected by natural and non-natural
incidents every year. The Resource Allocation Problem can be often considered as part of a …

This paper analyzes and predicts the fuzziness parameter from a fuzzy clustering technique
applied to the vehicle routing problem with homogeneous fleet. It uses unsupervised fuzzy …