A generic method for energy-efficient and energy-cost-effective production at the unit process level

X Gong, T De Pessemier, W Joseph… - Journal of Cleaner …, 2016 - Elsevier
Generally, industry includes various sectors like manufacturing, energy, materials & mining,
and transportation. Industry consumes about one half of the world's total delivered energy …

Data envelopment analysis for dispatching rule selection

M Braglia, A Petroni - Production planning & control, 1999 - Taylor & Francis
Scheduling techniques and dispatching rules are widely studied because of their strategic
role in achieving optimal management of manufacturing systems. In the case of flexible …

A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties

H Wang, T Peng, A Nassehi, R Tang - Journal of Manufacturing Systems, 2023 - Elsevier
Modeling and optimizing dynamic job shop scheduling problems (DJSSP) without ample
assumptions is inherently challenging due to the increasing complexity and uncertainty …

A decision support system for dynamic job-shop scheduling using real-time data with simulation

AK Turker, A Aktepe, AF Inal, OO Ersoz, GS Das… - Mathematics, 2019 - mdpi.com
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 …

Adaptive dispatching rule for semiconductor wafer fabrication facility

L Li, Z Sun, MC Zhou, F Qiao - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Uncertainty in semiconductor fabrication facilities (fabs) requires scheduling methods to
attain quick real-time responses. They should be well tuned to track the changes of a …

Unified multi-objective genetic algorithm for energy efficient job shop scheduling

H Wei, S Li, H Quan, D Liu, S Rao, C Li, J Hu - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, people have paid more and more attention to traditional manufacturing's
environmental impact, especially in terms of energy consumption and related emissions of …

Energy-efficient rescheduling with time-of-use energy cost: Application of variable neighborhood search algorithm

M Kong, J Xu, T Zhang, S Lu, C Fang… - Computers & Industrial …, 2021 - Elsevier
Energy-efficient scheduling has drawn wide attention in the last few decades from both
academia and industry due to its significance in energy saving and environmental …

A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles

L He, R Chiong, W Li, GS Budhi, Y Zhang - Knowledge-Based Systems, 2022 - Elsevier
Increasing energy shortages and environmental pollution have made energy efficiency an
urgent concern in manufacturing plants. Most studies looking into sustainable production in …

Multiobjective optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy

L He, R Chiong, W Li, S Dhakal, Y Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Energy-efficient production scheduling research has received much attention because of the
massive energy consumption of the manufacturing process. In this article, we study an …

Embedding OWA under preference ranking for DEA cross‐efficiency aggregation: Issues and procedures

A Oukil - International Journal of Intelligent Systems, 2019 - Wiley Online Library
Cross‐efficiency (CE) evaluation is an extension of data envelopment analysis (DEA) used
for fully ranking decision‐making units (DMUs). The ranking process is normally performed …