Scheduling for sustainable manufacturing: A review

M Akbar, T Irohara - Journal of cleaner production, 2018 - Elsevier
Most of the sustainable scheduling research deals with some environmental issues such as
electricity consumption or carbon emissions although there are many other environmental …

Systematic literature review of decision support models for energy-efficient production planning

K Biel, CH Glock - Computers & Industrial Engineering, 2016 - Elsevier
Following the scarcity of resources, rising energy prices, and an increasing awareness of the
role manufacturing plays in the generation of greenhouse gas emissions, the consumption …

Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions

J Li, H Sang, Y Han, C Wang, K Gao - Journal of Cleaner Production, 2018 - Elsevier
This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …

Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm

C Lu, L Gao, X Li, Q Pan, Q Wang - Journal of cleaner production, 2017 - Elsevier
Permutation flow shop scheduling problems (PFSPs) have been extensively studied
because of its broad industrial applications. However, setup and transportation time are …

A memetic differential evolution algorithm for energy-efficient parallel machine scheduling

X Wu, A Che - Omega, 2019 - Elsevier
This paper considers an energy-efficient bi-objective unrelated parallel machine scheduling
problem to minimize both makespan and total energy consumption. The parallel machines …

Energy-efficient flexible flow shop scheduling with worker flexibility

G Gong, R Chiong, Q Deng, W Han, L Zhang… - Expert Systems with …, 2020 - Elsevier
The classical flexible flow shop scheduling problem (FFSP) only considers machine
flexibility. Thus far, the relevant literature has not studied FFSPs with worker flexibility, which …

A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines

M Abedi, R Chiong, N Noman, R Zhang - Expert Systems with Applications, 2020 - Elsevier
This paper focuses on an energy-efficient job-shop scheduling problem within a machine
speed scaling framework, where productivity is affected by deterioration. To alleviate the …

Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan

S Wang, X Wang, J Yu, S Ma, M Liu - Journal of cleaner production, 2018 - Elsevier
Currently, energy consumption reduction is playing a more and more important role in
production and manufacturing, especially for energy-intensive industries. An optimal …

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 …

Energy-efficient no-wait permutation flow shop scheduling by adaptive multi-objective variable neighborhood search

X Wu, A Che - Omega, 2020 - Elsevier
This paper considers an energy-efficient no-wait permutation flow shop scheduling problem
to minimize makespan and total energy consumption, simultaneously. The processing …