A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems

Decision Analytics Journal, Год журнала: 2024, Номер 11, С. 100485 - 100485

Опубликована: Май 29, 2024

The flexible job shop scheduling problem (FJSSP) is a complex optimization challenge that plays crucial role in enhancing productivity and efficiency modern manufacturing systems, aimed at optimizing the allocation of jobs to variable set machines. This paper introduces an algorithm tackle FJSSP by minimizing makespan total weighted earliness tardiness under uncertainty. hybrid effectively addresses complexities stochastic multi-objective integrating equilibrium optimizer (EO) as initial solutions generator, Non-dominated sorting genetic II (NSGA-II), simulation techniques. algorithm's effectiveness validated showcasing specific instances delivering decision results for optimal across varying levels Results reveal consistent superiority managing parameters various scales, achieving lower improved Pareto front quality compared existing methods. Particularly notable faster convergence robust performance, statistical Wilcoxon test, which confirms its reliability efficacy handling dynamic situations. These findings underscore potential providing flexible, solutions. proposed unique balance exploitative explorative capabilities within framework enables effective uncertainty FJSSP, offering flexibility customization adaptable environments.

Язык: Английский

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Lean and industry 4.0 principles toward industry 5.0: a conceptual framework and empirical insights from fashion industry

Journal of Manufacturing Technology Management, Год журнала: 2024, Номер 35(9), С. 122 - 141

Опубликована: Июль 2, 2024

Purpose Examining synergies between Lean, Industry 4.0, and 5.0 principles, the aim is to showcase how Lean's focus on people enhances implementations, leading development of Lean paradigm. In addition, insights from artisanal industries, like fashion one, are specifically collected. Design/methodology/approach First, a literature review was conducted define comprehensive framework understand fits into Human-Centric (HC) paradigm 5.0. Second, case study employed give empirical identify practical initiatives that brands can pursue, involving two best-in-class leather goods located in Italy. Findings A conceptual pave way for new defined validated through study. To path industry, HC detailed domains related categories group practices. The demonstrate actions be effectively supported by 4.0 technologies traditional sectors shifting towards Practical implications proposed practices used companies facilitate their transition 5.0, leveraging Manufacturing. Originality/value innovative contribution present work mainly refers framework, encompassing introducing enriches contributions industry.

Язык: Английский

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Solving multi-objective energy-saving flexible job shop scheduling problem by hybrid search genetic algorithm

Computers & Industrial Engineering, Год журнала: 2025, Номер unknown, С. 110829 - 110829

Опубликована: Янв. 1, 2025

Язык: Английский

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Quantum particle swarm optimization with chaotic encoding schemes for flexible job-shop scheduling problem

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 93, С. 101836 - 101836

Опубликована: Янв. 7, 2025

Язык: Английский

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A human-centric order release method based on workload control in high-variety make-to-order shops towards Industry 5.0

Robotics and Computer-Integrated Manufacturing, Год журнала: 2025, Номер 94, С. 102946 - 102946

Опубликована: Янв. 18, 2025

Язык: Английский

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