The K-nearest neighbour (KNN) algorithm is one of the well-known classifiers applied in various research areas. The input requirement includes a set of variables, the choice of the neighbourhood size (K) and the distance metric which are usually selected based on data characteristics. The first...

With the continuous upgrading of industrial technology and information technology, consumers can deeply participate in the whole life cycle of products and realize customized production. These unprecedented changes have brought consumers and manufacturers closer together, resulting in the...

In this study, the problem of scheduling a set of jobs and one uncertain maintenance activity on a single machine, with the objective of minimizing the makespan is addressed. The maintenance activity has a given duration and must be executed within a given time window. Furthermore, duration and...

This paper focuses on solving the knapsack problem with forfeits (KPF). This variation of the knapsack problem includes soft conflicts or forfeits, where forfeit pairs consist of two items and an associated penalty. The proposed method combines the fixed set search (FSS) metaheuristic's learning...

Supply chain network design deals with selecting the members and defining the transportation links among the selected members. Similar to supply chain network design, the blockchain network design problem deals with selecting nodes and links that should participate in the blockchain as a...

A pillar of Industry 4.0, simulation is a powerful tool used across several fields, enabling system evaluation under varying conditions, facilitating performance analysis, and more efficient decision-making. On the other hand, simulation might be time-consuming, particularly when considering...

In agricultural supply chains, most farmers are troubled by production capital constraints, resulting in inability to expand production scale. Although agricultural supply chain finance (ASCF) is of great significance, its research is still in its infancy. This study structures an agricultural...

Reverse supply chain management is one of the most effective ways to protect the environment and conserve natural resources, while simultaneously generating significant economic benefits for manufacturing firms. The present paper examines the design of a reverse supply chain of a variety of...

A wide range of real world optimization problems involves continuous decisions and non-linearities. Each non-linear component of such problems can be modeled either linearly or non-linearly, considering or not additional integer variables. This results into different modeling choices that can...