A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems
G Tian, W Lu, X Zhang, M Zhan, MA Dulebenets… - … Science and Pollution …, 2023 - Springer
With the increasing severity of environmental problems, low-carbon development has
become an inevitable choice. Nowadays, low-carbon green sustainable development is …
become an inevitable choice. Nowadays, low-carbon green sustainable development is …
Recycling of mixed cathode lithium‐ion batteries for electric vehicles: Current status and future outlook
Worldwide trends in mobile electrification, largely driven by the popularity of electric vehicles
(EVs) will skyrocket demands for lithium‐ion battery (LIB) production. As such, up to four …
(EVs) will skyrocket demands for lithium‐ion battery (LIB) production. As such, up to four …
[HTML][HTML] Assembly line balancing: What happened in the last fifteen years?
Ever since the times of Henry Ford up to today's industry 4.0 era, flow-oriented assembly
processes, where an assembly line conveys the workpieces from workstation to workstation …
processes, where an assembly line conveys the workpieces from workstation to workstation …
Task allocation and planning for product disassembly with human–robot collaboration
This paper presents a comprehensive disassembly sequence planning (DSP) algorithm in
the human–robot collaboration (HRC) setting with consideration of several important factors …
the human–robot collaboration (HRC) setting with consideration of several important factors …
Hybridizations in line balancing problems: A comprehensive review on new trends and formulations
In the research on production economics, line balancing is an intensively studied
combinatorial optimisation problem. In our previous comprehensive survey on line …
combinatorial optimisation problem. In our previous comprehensive survey on line …
Techno-economic and environmental benefits-oriented human–robot collaborative disassembly line balancing optimization in remanufacturing
The remanufacturing process, driven by human–robot collaboration technology, is becoming
an important carrier for the circular economy, contributing to economic development while …
an important carrier for the circular economy, contributing to economic development while …
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems
This paper addresses disassembly line scheduling problems (DLSP) to minimize the
smoothing index with the workstation number threshold. First, a mathematical model is …
smoothing index with the workstation number threshold. First, a mathematical model is …
A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem
The timely recovery and disassembly of waste electrical and electronic equipment (WEEE)
can not only obtain a higher economic benefit but also can reduce the impact of hazardous …
can not only obtain a higher economic benefit but also can reduce the impact of hazardous …
Mixed-integer programming model and hybrid driving algorithm for multi-product partial disassembly line balancing problem with multi-robot workstations
To address the problem of considerable waste electromechanical product generation, a
partial disassembly line balancing problem with multi-robot workstations that can …
partial disassembly line balancing problem with multi-robot workstations that can …
A comprehensive review of deterministic models and applications for mean-variance portfolio optimization
CB Kalayci, O Ertenlice, MA Akbay - Expert Systems with Applications, 2019 - Elsevier
Portfolio optimization is the process of determining the best combination of securities and
proportions with the aim of having less risk and obtaining more profit in an investment …
proportions with the aim of having less risk and obtaining more profit in an investment …