Scheduling involving setup times/costs plays an important role in today's modern
manufacturing and service environments for the delivery of reliable products on time. The …

Intelligent scheduling covers various tools and techniques for successfully and efficiently
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …

This paper addresses the multi-stage hybrid flowshop scheduling problem with identical
parallel machines at each stage by considering the effect of human factors. The various …

This paper presents a modified particle swarm optimization (MPSO) algorithm to minimize
the maximum lateness for the single batch-processing machine problem with non-identical …

The development of an efficient emergency response plan to provide critical daily supplies
to affected people facilitates efficient relief operations. In this study, we propose a multi …

This paper presents a fuzzy extension of the disassembly line balancing problem (DLBP)
with fuzzy task processing times since uncertainty is the main character of real-world …

We examine simultaneous order acceptance and scheduling decisions where the orders are
defined by their release dates, due dates, deadlines, processing times, sequence …

Swarm intelligence-based methods offer notable opportunities in problem solving. Although
they do not guarantee optimality, such methods are shown to be promising particularly for …

This paper is concerned with solving the single machine total weighted tardiness problem
with sequence dependent setup times by a discrete differential evolution algorithm …

This paper deals with the single machine scheduling problem to minimize the total weighted
tardiness in the presence of sequence dependent setup. Firstly, a mathematical model is …