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 …

Job shop scheduling has been the focus of a substantial amount of research over the last
decade and most of these approaches are formulated and designed to address the static job …

This paper presents two well-known meta-heuristics which are Genetic Algorithm (GA) and
Ant Colony Optimization Algorithm (ACO) to solve the dynamic integrated process planning …

In the last century, there was a general perception that scheduling theory was highly
irrelevant to scheduling practice. Many recent studies, however, have suggested that the …

The wide usage of information technologies in production has led to the Fourth Industrial
Revolution, which has enabled real data collection from production tools that are capable of …

Unrelated parallel machine scheduling problem (UPM) is widely studied in the scheduling
literature because of its extensive application area in the industry. Since it has a stochastic …

Quite a lot of literature exists for static scheduling for shop-floor; static schedules, however,
become obsolete almost immediately as the systems experience unpredictable disruptions …

In the last few decades, there has been a growing necessity for systems that handle market
changes and personalized customer needs with near mass production efficiency, defined as …

In this study, we consider stochastic single machine scheduling problem. We assume that
setup times are both sequence dependent and uncertain while processing times and due …

In job-shop production systems, orders are assigned to work centers according to their
routes, and their operations are performed in this order. Production is becoming more and …