Due to the stubborn nature of the deterministic job-shop scheduling problem many solutions
proposed are of hybrid construction cutting across the traditional disciplines. The problem …

Competitive pressures in the global manufacturing environment are forcing manufacturing
organizations to re‐engineer in order to become more competitive in the marketplace …

In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Manufacturing is a major source of energy consumption and, therefore, a significant
contributor to emissions and greenhouse gases. This paper is concerned with evaluating …

Priority-dispatching rules have been studied for many decades, and they form the backbone
of much industrial scheduling practice. Developing new dispatching rules for a given …

In this paper a well known tool for relative efficiency assessment, namely Data Envelopment
Analysis (DEA), is used to measure the performance of the nations participating at the last …

ABSTRACT A great deal of research has been focused on solving the job-shop problem
(ΠJ), over the last forty years, resulting in a wide variety of approaches. Recently, much effort …

This paper investigates the use of genetic programming in automatized synthesis of
scheduling heuristics. The applied scheduling technique is priority scheduling, where the …

In this paper, we present a multi-faceted approach for ranking dispatching rules (DRs) in
multi-objective dynamic flow shop scheduling systems using data envelopment analysis …

Predictive business process monitoring aims at providing the predictions about running
instances by analyzing logs of completed cases of a business process. Recently, a lot of …