Energy-aware Remanufacturing Process Planning and Scheduling Problem Using Reinforcement Learning-based Particle Swarm Optimization Algorithm

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 143771 - 143771

Опубликована: Сен. 1, 2024

Язык: Английский

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Remanufacturing scheduling under uncertainty considering remanufacturability assessment with adaptive hybrid optimization algorithm

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 96, С. 101990 - 101990

Опубликована: Май 24, 2025

Язык: Английский

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A multi-objective integrated scheduling of remanufacturing system considering time window constrained outsourcing option

Journal of Cleaner Production, Год журнала: 2024, Номер 468, С. 142916 - 142916

Опубликована: Июнь 16, 2024

Язык: Английский

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An Artificial Bee Colony Optimization Algorithms for Solving Fuzzy Capacitated Logistic Distribution Center Problem

MethodsX, Год журнала: 2024, Номер 13, С. 102964 - 102964

Опубликована: Сен. 19, 2024

This paper presents a methodological approach to solving the fuzzy capacitated logistic distribution center problem, with focus on optimal selection of centers meet demands multiple plants. The are characterized by fixed costs and capacities, while plant modeled using triangular membership functions. problem is mathematically formulated converting into crisp values, providing structured framework for addressing uncertainty in planning. To support future research facilitate comparative analysis, 20 benchmark problems were generated, filling gap existing literature. Three distinct artificial bee colony algorithm variants hybridized heuristic: one best solution per iteration, another incorporating chaotic mapping adaptive procedures, third employing convergence diversity archives. An experimental design based Taguchi's orthogonal arrays was employed optimizing parameters, ensuring systematic exploration space. developed methods offer comprehensive toolkit complex, uncertain distribution, code provided reproducibility. Key contributions include:•Development model capacities under demands.•Generation advance domain.•Integration heuristic three ABC variants, each contributing unique insights.

Язык: Английский

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Partial Disassembly and Consideration of Part Relationships in Multiproduct, Multiperiod Capacitated Disassembly Scheduling With Parts Commonality

Modelling and Simulation in Engineering, Год журнала: 2024, Номер 2024(1)

Опубликована: Янв. 1, 2024

This paper proposes a new mixed‐integer linear programming (MILP) model to consider multiproduct, multiperiod capacitated disassembly scheduling with parts commonality and partial disassembly. The major contribution of this research is probe the possibility separation until desired part obtained. When partial, that are not in demand will disassemble, saving time costs. In addition, another introduced consideration relationships between parts. By incorporating these into problem, our proposed offers more comprehensive efficient solution. objective provide best plan for selecting modes due capacity constraints meet leaf over planning horizon minimize setup, holding, operating, supply solved using CPLEX solver, numerical experiments selected literature data problem sizes sensitivity analyses key parameters carried out demonstrate model’s consistency robustness. significant managerial insights have been based on analysis determine applicability model. Key reveal increasing period reduces total costs but requires careful balancing capacity‐building expenses. Additionally, aligning return product structure can significantly cut costs, managing inventory through procurement or disposal less demanded optimize operations.

Язык: Английский

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Lot-streaming in energy-efficient three-stage remanufacturing system scheduling problem with inequal and consistent sublots

Computers & Electrical Engineering, Год журнала: 2024, Номер 120, С. 109813 - 109813

Опубликована: Окт. 31, 2024

Язык: Английский

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