Due to pressing challenges such as high market volatility, complex global logistics,
geopolitical turmoil and environmental sustainability, compounded by radical events such as …

This study presents a comprehensive investigation into the AI supply chain journey,
combining a systematic literature review (SLR) and empirical interviews with supply chain …

In this paper, we propose a multi-vehicle clustered traveling purchaser problem
(MVCluTPP). Here, two types of procurement planning are proposed. In the first setup, the …

Multiple traveling salesperson problems (m TSP) are a collection of problems that
generalize the classical traveling salesperson problem (TSP). In a nutshell, an m TSP …

Background: Global supply chains are confronted with the challenge of ensuring on-time
deliveries while simultaneously enhancing supply chain resilience. Conventional methods …

This study introduces an innovative approach to predict late delivery risks, aiming to
strengthen supply chain resilience through smart, data-driven strategies. The approach …

The distribution of goods in crowded city centres is a major challenge today. To address this
problem, two-tier or multi-tier distribution systems have been proposed to consolidate …

This paper introduces an archive-based multi-objective algorithm based on simulated
annealing to deal with the time/weight-balanced cluster problem. In the presented paper, we …

Mobile vegetable sellers, as part of the informal sector, play a vital role in providing
employment opportunities for workers who cannot be absorbed by the formal sector. They …