The resource-constrained hybrid flowshop problem (RCHFS) has been investigated
thoroughly in recent years. However, the practical case that considers both resource …

The fuzzy job shop scheduling problem with makespan minimisation has received
considerable attention over the last decade. Different sets of benchmark instances have …

This paper addresses a multi-objective energy-efficient scheduling problem of the
distributed permutation flowshop with sequence-dependent setup time and no-wait …

The distributed hybrid flowshop scheduling (DHFS) problem is a common scheduling
problem that has been researched in both academic and industrial fields during recent …

Abstract Differentially Private Stochastic Gradient Descent (DP‐SGD) is a prime method for
training machine learning models with rigorous privacy guarantees. Since its birth, DP‐SGD …

The flexible job-shop co-scheduling problem (FJCSP) for processing machines and
automated guided vehicles (AGVs) in a flexible manufacturing system (FMS) has attracted …

In modern construction industries, an efficient routing strategy is a challenging issue to
satisfy the requirements of transportation bulk goods and minimization of different conflicting …

Inspired by the production model of pressure vessels for spacecraft, ie, tanks and cylinders,
this study addresses the sequence-dependent group flow shop scheduling problem with …

In order to respond quickly to diverse needs of customers, iron and steelmaking industries
have to improve the efficiency of their logistics operations. Storage location assignment and …

Current studies on scheduling of machines and transporters assume that either a single
transporter or an infinite number of homogeneous transporters such as AGVs or mobile …