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 …

An effective multiobjective algorithm for energy-efficient scheduling in a real-life welding shop

X Li, C Lu, L Gao, S Xiao, L Wen - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Welding, an irreplaceable process in the modern manufacturing industry, consumes
enormous amounts of energy. The schedule in a welding shop greatly impacts both its …

Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions

P Valledor, A Gomez, P Priore… - International Journal of …, 2018 - Taylor & Francis
In multi-objective optimisation problems, optimal decisions need to be made in the presence
of trade-offs among conflicting objectives which may sometimes be expressed in different …

Multiobjective discrete artificial bee colony algorithm for multiobjective permutation flow shop scheduling problem with sequence dependent setup times

X Li, S Ma - IEEE Transactions on Engineering Management, 2017 - ieeexplore.ieee.org
The multiobjective permutation flow shop scheduling problem with sequence dependent
setup times has been an object of investigations for decades. This widely studied problem …

Permutation flow shop scheduling with batch delivery to multiple customers in supply chains

K Wang, H Luo, F Liu, X Yue - IEEE Transactions on Systems …, 2017 - ieeexplore.ieee.org
Rapid changes in production environments have motivated researchers and industrial
manufacturers to coordinate the production and distribution in supply chain management …

Multi-objective green flowshop scheduling problem under uncertainty: Estimation of distribution algorithm

MF Amiri, J Behnamian - Journal of Cleaner Production, 2020 - Elsevier
Flowshop scheduling is a well-known NP-hard problem. Sustainable scheduling problem
has recently attracted the attention of researchers due to the importance of energy and …

Two new meta-heuristics for a bi-objective supply chain scheduling problem in flow-shop environment

A Hassanzadeh, M Rasti-Barzoki, H Khosroshahi - Applied soft computing, 2016 - Elsevier
In this study, an integrated multi-objective production-distribution flow-shop scheduling
problem will be taken into consideration with respect to two objective functions. The first …

Solving rescheduling problems in dynamic permutation flow shop environments with multiple objectives using the hybrid dynamic non-dominated sorting genetic II …

P Valledor, A Gomez, J Puente, I Fernandez - Mathematics, 2022 - mdpi.com
In this work, we seek to design a model that contributes to the study and resolution of a multi-
objective rescheduling problem in dynamic permutation flow shop contexts. In this type of …

Multi-objective memetic search algorithm for multi-objective permutation flow shop scheduling problem

X Li, S Ma - IEEE access, 2016 - ieeexplore.ieee.org
The multiobjective permutation flowshop scheduling problem (MOPFSSP) is one of the most
popular machine scheduling problems with extensive engineering relevance of …

Solving multi-objective Modified Distributed Parallel Machine and Assembly Scheduling Problem (MDPMASP) with eligibility constraints using metaheuristics

I Amallynda, B Santosa - Production & Manufacturing Research, 2022 - Taylor & Francis
We present a new generalization and metaheuristics for the distributed parallel machine and
assembly scheduling problem (DPMASP), namely MDPMASP with eligibility constraints …