Energy-aware job scheduling in a multi-objective production environment–An integrated DEA-OWA model

A Oukil, A El-Bouri, A Emrouznejad - Computers & Industrial Engineering, 2022 - Elsevier
Manufacturing is a major source of energy consumption and, therefore, a significant
contributor to emissions and greenhouse gases. This paper is concerned with evaluating …

A job-shop scheduling decision-making model for sustainable production planning with power constraint

D Carlucci, P Renna, S Materi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Improving environmental sustainability and reducing energy cost are becoming central
topics of decision-making in manufacturing. Increasingly manufactures are looking for new …

Energy-aware decision support for production scheduling

S Plitsos, PP Repoussis, I Mourtos… - Decision Support …, 2017 - Elsevier
Manufacturing companies are forced to become energy-aware under the pressure of energy
costs, legislation and consumers' environmental awareness. Production scheduling remains …

Ranking dispatching rules by data envelopment analysis in a job shop environment

YL Chang, T Sueyoshi, RS Sullivan - IIE transactions, 1996 - Taylor & Francis
This paper uses Data Envelopment Analysis (DEA) to measure multiple performance criteria
for 42 dispatching rules in a job shop environment. We introduce a DEA application in …

[HTML][HTML] An investigation into minimising total energy consumption and total weighted tardiness in job shops

Y Liu, H Dong, N Lohse, S Petrovic, N Gindy - Journal of Cleaner …, 2014 - Elsevier
Manufacturing enterprises nowadays face the challenge of increasing energy prices and
requirements to reduce their emissions. Most reported work on reducing manufacturing …

Ranking dispatching rules in multi-objective dynamic flow shop scheduling: a multi-faceted perspective

A Oukil, A El-Bouri - International Journal of Production Research, 2021 - Taylor & Francis
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 …

A semantics-based dispatching rule selection approach for job shop scheduling

H Zhang, U Roy - Journal of Intelligent Manufacturing, 2019 - Springer
Dispatching rules are commonly used for job shop scheduling in industries because they
are easy to implement, and they yield reasonable solutions within a very short computational …

Mathematical modeling and multi-attribute rule mining for energy efficient job-shop scheduling

L Zhang, Z Li, G Królczyk, D Wu, Q Tang - Journal of Cleaner Production, 2019 - Elsevier
Manufacturing industry accounts for about one-third of the world's total energy consumption
(TEC). This study aims to develop a novel mixed-integer mathematical model to represent …

A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality

GS Liu, HD Yang, MB Cheng - International Journal of Production …, 2017 - Taylor & Francis
Due to increasing concerns about energy and environmental demands, decision-makers in
industrial companies have developed awareness about energy use and energy efficiency …

Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops

L Zhang, Q Tang, Z Wu, F Wang - Energy, 2017 - Elsevier
As environmental awareness grows, sustainable scheduling is attracting increasing
attention. The purposes of this paper are obtain the lower bound of energy-efficient flexible …