Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level DOI Creative Commons
Franz Ehm

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 189, P. 109927 - 109927

Published: Jan. 23, 2024

The challenges of climate change and resource scarcity have led policymakers around the globe to strengthen concept circular economy. Legislation towards extended producer responsibility means that recovery parts material from end-of-life (EOL) products is increasingly imposed as a mandatory task for manufacturers across various industries. Consequently, EOL decision-making has emerged relevant topic in management science. Recent research addressed environmental impact operations by considering energy usage or carbon emissions variable disassembly sequences options. This paper deals with selective planning scheduling multiple dismantling shop considers results process stage. It extends previous formulations flexible levels modes. In multi-objective optimization problem, there trade-off between potential time savings, ecological process-related emissions, penalty associated damaged parts, unseparated modules, unpurified materials. A mathematical formulation presented demonstrated using case study engine disassembly. Next, genetic algorithm (MOGA) developed tested synthetic problem data. As shown computational experiments, MOGA outperforms exact model more complex settings produces competitive fraction required commercial solver.

Language: Английский

Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies DOI Creative Commons
Yiqun Pan,

Mingya Zhu,

Yan Lv

et al.

Advances in Applied Energy, Journal Year: 2023, Volume and Issue: 10, P. 100135 - 100135

Published: April 6, 2023

As one of the most important and advanced technology for carbon-mitigation in building sector, performance simulation (BPS) has played an increasingly role with powerful support energy modelling (BEM) energy-efficient designs, operations, retrofitting buildings. Owing to its deep integration multi-disciplinary approaches, researchers, as well tool developers practitioners, are facing opportunities challenges during application BEM at multiple scales stages, e.g., building/system/community levels planning/design/operation stages. By reviewing recent studies, this paper aims provide a clear picture how performs solving different research questions on varied phase spatial resolution, focus objectives frameworks, methods tools, applicability transferability. To guide future applications performance-driven management, we classified current trends into five topics that span through stages levels: (1) Simulation design new retrofit design, (2) Model-based operational optimization, (3) Integrated using data measurements digital twin, (4) Building supporting urban planning, (5) Modelling building-to-grid interaction demand response. Additionally, recommendations discussed, covering potential occupancy behaviour modelling, machine learning, quantification model uncertainties, linking monitoring systems.

Language: Английский

Citations

151

A multi-objective optimization framework for designing urban block forms considering daylight, energy consumption, and photovoltaic energy potential DOI
Ke Liu, Xiaodong Xu, W. Huang

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 242, P. 110585 - 110585

Published: July 6, 2023

Language: Английский

Citations

74

Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting DOI
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno

et al.

Applied Intelligence, Journal Year: 2024, Volume and Issue: 54(4), P. 3119 - 3134

Published: Feb. 1, 2024

Language: Английский

Citations

25

Optimisation of the thermodynamic and environmental performances of a flat plate solar collector with multiple turbulators: An integrated experimental, numerical, and machine learning investigation DOI
Mohammad Zaboli, Nader Karimi, Seyed Soheil Mousavi Ajarostaghi

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122407 - 122407

Published: Jan. 1, 2025

Language: Английский

Citations

3

An artificial intelligence-based strategy for multi-objective optimization of internal combustion engine performance and emissions DOI
Zijiang Zhu,

J. Wang,

Tung-Chiang Deng

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126472 - 126472

Published: Jan. 1, 2025

Language: Английский

Citations

2

A multi-objective optimization approach based on the Non-Dominated Sorting Genetic Algorithm II for power coordination in battery energy storage systems for DC distribution network applications DOI
Brandon Cortés-Caicedo, Luis Fernando Grisales-Noreña, Oscar Danilo Montoya

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 113, P. 115430 - 115430

Published: Jan. 31, 2025

Language: Английский

Citations

2

A CycleGAN-Pix2pix framework for multi-objective 3D urban morphology optimization: enhancing thermal performance in high-density areas DOI Creative Commons
Shiqi Zhou,

Weiyi Jia,

Haifeng Diao

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106400 - 106400

Published: April 1, 2025

Language: Английский

Citations

2

Scheduling by NSGA-II: Review and Bibliometric Analysis DOI Open Access
Iman Rahimi, Amir H. Gandomi, Kalyanmoy Deb

et al.

Processes, Journal Year: 2022, Volume and Issue: 10(1), P. 98 - 98

Published: Jan. 4, 2022

NSGA-II is an evolutionary multi-objective optimization algorithm that has been applied to a wide variety of search and problems since its publication in 2000. This study presents review bibliometric analysis numerous adaptations addressing scheduling problems. paper divided into two parts. The first part discusses the main ideas different computation methods for provides problems, such as production personnel scheduling. Moreover, brief comparison algorithms provided, followed by summary state-of-the-art works on application next detailed focusing applications obtained from Scopus Web Science (WoS) databases based keyword network analyses were conducted identify most interesting subject fields. Additionally, several criteria are recognized which may advise scholars find key gaps field develop new approaches future works. final sections present aims studies, along with conclusions discussion.

Language: Английский

Citations

65

Dynamic reconfiguration optimization of intelligent manufacturing system with human-robot collaboration based on digital twin DOI

Qizhang Zhu,

Sihan Huang, Guoxin Wang

et al.

Journal of Manufacturing Systems, Journal Year: 2022, Volume and Issue: 65, P. 330 - 338

Published: Oct. 1, 2022

Language: Английский

Citations

51

Optimal designs of LID based on LID experiments and SWMM for a small-scale community in Tianjin, north China DOI
Boyuan Yang, Ting Zhang, Jianzhu Li

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 334, P. 117442 - 117442

Published: Feb. 9, 2023

Language: Английский

Citations

43