An effective two phase heuristic for synchronized seru production scheduling and 3PL transportation problems DOI
Zhe Zhang, Xue Gong, Xiaoling Song

et al.

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 268, P. 109126 - 109126

Published: Dec. 7, 2023

Language: Английский

Seru scheduling problem with lot streaming and worker transfers: A multi-objective approach DOI
Beren Gürsoy Yılmaz, Ömer Faruk Yılmaz, Elif Akçalı

et al.

Computers & Operations Research, Journal Year: 2025, Volume and Issue: unknown, P. 106967 - 106967

Published: Jan. 1, 2025

Language: Английский

Citations

3
Parallel dynamic NSGA-II with multi-population search for rescheduling of Seru production considering schedule changes under different dynamic events DOI
Xiaolong Li,

Zhecong Zhang,

Wei Sun

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121993 - 121993

Published: Oct. 5, 2023

Language: Английский

Citations

26
Lot streaming in workforce scheduling problem for seru production system under Shojinka philosophy DOI
Beren Gürsoy Yılmaz, Ömer Faruk Yılmaz, Emre Çevikcan

et al.

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 185, P. 109680 - 109680

Published: Oct. 12, 2023

Language: Английский

Citations

25
Dynamic worker allocation in Seru production systems with actor-critic and pointer networks DOI
Dongni Li, Hongbo Jin, Yaoxin Zhang

et al.

European Journal of Operational Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1
A column generation-based exact solution method for seru scheduling problems DOI
Zhe Zhang, Xue Gong, Xiaoling Song

et al.

Omega, Journal Year: 2021, Volume and Issue: 108, P. 102581 - 102581

Published: Dec. 6, 2021

Language: Английский

Citations

34
Scheduling problem in seru production system considering DeJong’s learning effect and job splitting DOI
Zhe Zhang, Xiaoling Song,

Huijun Huang

et al.

Annals of Operations Research, Journal Year: 2022, Volume and Issue: 312(2), P. 1119 - 1141

Published: Jan. 9, 2022

Language: Английский

Citations

28
Dynamic scheduling of multi-memory process flexible job shop problem based on digital twin DOI Creative Commons
Zhi Li, Yingjian Chen

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 183, P. 109498 - 109498

Published: July 31, 2023

Digital twin is one of the newly-emerged enabling technologies for achieving intelligent manufacturing. Based on physical–digital convergence, digital provides manufacturing systems with a new model collaboration between workforce and industrial processes. With characteristics real-time communication data-driven enablers, scheduling strategy requires close cooperation workers, However, in process digitization intelligentization, industry will need to face challenge supporting worker skills development. To this end, paper considers workers' multi-memory (learning forgetting) flexible job shop problem (MPFJSP). Meanwhile, dynamic twin-driven MPFJSP proposed under machine breakdowns aiming at simultaneously minimizing makespan , total carbon emissions, production cost product quality stability. A virtual workshop adopted simulate optimize scheme realize scheduling. Finally, computational experiment carried out verify effectiveness advantages strategy.

Language: Английский

Citations

14
A cooperative coevolutionary algorithm with problem-specific knowledge for energy-efficient scheduling in seru system DOI
Yuting Wu, Ling Wang,

Xinying Zhuang

et al.

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 274, P. 110663 - 110663

Published: May 20, 2023

Language: Английский

Citations

13
An on-line seru scheduling algorithm with proactive waiting considering resource conflicts DOI
Dongni Li, Yuzhou Jiang, Jinhui Zhang

et al.

European Journal of Operational Research, Journal Year: 2023, Volume and Issue: 309(2), P. 506 - 515

Published: Jan. 17, 2023

Language: Английский

Citations

12
Minimizing the makespan and carbon emissions in the green flexible job shop scheduling problem with learning effects DOI Creative Commons
Zhi Li, Yingjian Chen

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: April 19, 2023

One of the most difficult challenges for modern manufacturing is reducing carbon emissions. This paper focuses on green scheduling problem in a flexible job shop system, taking into account energy consumption and worker learning effects. With objective simultaneously minimizing makespan total emissions, (GFJSP) formulated as mixed integer linear multiobjective optimization model. Then, improved sparrow search algorithm (IMOSSA) developed to find optimal solution. Finally, we conduct computational experiments, including comparison between IMOSSA nondominated sorting genetic II (NSGA-II), Jaya programming (MILP) solver CPLEX. The results demonstrate that has high precision, good convergence excellent performance solving GFJSP low-carbon systems.

Language: Английский

Citations

11