Optimizing Production Schedules: Balancing Worker Cooperation and Learning Dynamics in Seru Systems DOI Open Access
Weiguo Liu,

Weizhe Dai,

Xuyin Wang

et al.

Processes, Journal Year: 2023, Volume and Issue: 12(1), P. 38 - 38

Published: Dec. 22, 2023

This paper aims to investigate the seru scheduling problem while considering dual effects of worker cooperation and learning behavior minimize makespan order processing time. Given complexity this research problem, an improved shuffled frog leaping algorithm based on a genetic is proposed. We design double-layer encoding introduce single point uniform crossover operator, select method in probability form complete evolution meme group. To avoid damaging grouping information, individual structure transformed into unit form. Finally, numerical experiments were conducted using examples large small sizes for verification. The experimental results demonstrate feasibility proposed model algorithm, as well necessity problem.

Language: Английский

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

27
Integrated optimization of worker assignment, batch splitting and scheduling for a hybrid assembly line-seru production system DOI
Bingbing Li, Yinghui Wu

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 194, P. 110399 - 110399

Published: July 25, 2024

Language: Английский

Citations

2
Investigation on robotic cells design improvement in the welding process of body in white DOI
Qi Xia, Bangcheng Zhang, Xiyu Zhang

et al.

International Journal of Intelligent Robotics and Applications, Journal Year: 2024, Volume and Issue: 8(2), P. 322 - 333

Published: March 20, 2024

Language: Английский

Citations

1
Integrated Optimization of Worker Assignment, Batch Splitting and Scheduling for a Hybrid Assembly Line-Seru Production System DOI
Bingbing Li, Yinghui Wu

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0
Multi-objective optimization of production system with staggered production DOI
Chia‐Huang Wu, Dong‐Yuh Yang,

Chung-Ling Huang

et al.

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: April 5, 2024

In the manufacturing industry, timely order fulfilment from diverse customers is important for operational profitability, given constraints of limited production capacity. This paper proposes a novel queueing system system, in which processing times are categorised as regular or rush based on customer preference. The proposed employs variable service rates and strategies conjunction with staggered to deal heterogeneous arrivals. We compute steady-state probability distribution develop performance indicators. lower upper bounds expected sojourn time orders derived. Numerical results show that an appropriate switching policy can reduce by approximately 35% while increase less than 10%, demonstrating significant improvement management. formulate multi-objective optimisation problem implement NSGA-II algorithm obtain Pareto optimal solutions. Finally, three regression models determine minimum cost associated rates, maximum acceptable value number orders. established explain at least 80% dataset solutions thus our numerical findings provide useful guidance decision-makers managers.

Language: Английский

Citations

0
Blocklength Allocation and Power Control in UAV-Assisted URLLC System via Multi-agent Deep Reinforcement Learning DOI Creative Commons

Xinmin Li,

Xuhao Zhang, Jiahui Li

et al.

International Journal of Computational Intelligence Systems, Journal Year: 2024, Volume and Issue: 17(1)

Published: June 3, 2024

Abstract Integration of unmanned aerial vehicles (UAVs) with ultra-reliable and low-latency communication (URLLC) systems can improve the real-time performance for various industrial internet things (IIoT) applications. Designing an intelligent resource allocation system is one challenges posed by energy-constrained UAV system. Therefore, we formulate a sum rate maximization problem, subject to UAVs’ energy optimizing blocklength power control jointly in uplink UAV-assisted URLLC systems, which probabilistic channel model between users adopted. The problem difficult solve due non-convex objective function constraints, also challenging make fast decision complex environment. Thus, propose deep reinforcement learning (DRL)-based scheme optimize jointly. First, transform original into multi-agent process, where each subcarrier regarded as agent that optimizes its individual control. Then, makes obtain maximum reward value depending on weighted segmented function, related consumption user rates performance. Finally, simulation results show proposed outperforms benchmark schemes has stable convergence different settings, such rate, error probability, spacing, number users.

Language: Английский

Citations

0
An exact branch-and-bound algorithm for <i>seru</i> scheduling problem with sequence-dependent setup time and release date DOI Open Access

Xiaohong Zhang,

Zhe Zhang, Xiaoling Song

et al.

Journal of Industrial and Management Optimization, Journal Year: 2023, Volume and Issue: 20(4), P. 1662 - 1702

Published: Oct. 18, 2023

This paper concentrates on the scheduling problem in seru production system (SPS), which is a new-type advanced with high manufacturing flexibility to response volatile market. Motivated by practical scenarios, this considers sequence-dependent setup time and release date minimize total weighted tardiness. A mixed integer programming (MIP) model formulated, branch-and-bound (B & B) algorithm combining dominance propositions lower bound strategy designed subsequently. Finally, computational experiments are conducted. series of experimental results show that proposed B performs very well finding high-quality solutions, it can find exact near-exact solutions for 216 randomly generated instances quickly. Even when CPLEX unable solve problems five-hour, return optimal as many 5 serus 22 products short CPU time.

Language: Английский

Citations

0
Scheduling Problems in Seru Production System Considering Worker Cooperation and Learning Behavior DOI
Weiguo Liu,

Weizhe Dai,

Xuyin Wang

et al.

Published: Jan. 1, 2023

This paper aims to investigate the seru scheduling problem considering dual effects of worker cooperation and learning behavior minimize makespan order processing time. Given complexity this research problem, an improved shuffled frog leaping algorithm based on a genetic is proposed. Design double-layer encoding introduce single point, uniform crossover operator, select method in probability form complete evolution meme group. To avoid damaging grouping information, individual structure transformed into unit form. Finally, numerical experiments were conducted using examples large small sizes for verification. The experimental results demonstrate feasibility proposed model algorithm, as well necessity problem.

Language: Английский

Citations

0
Optimizing Production Schedules: Balancing Worker Cooperation and Learning Dynamics in Seru Systems DOI Open Access
Weiguo Liu,

Weizhe Dai,

Xuyin Wang

et al.

Processes, Journal Year: 2023, Volume and Issue: 12(1), P. 38 - 38

Published: Dec. 22, 2023

This paper aims to investigate the seru scheduling problem while considering dual effects of worker cooperation and learning behavior minimize makespan order processing time. Given complexity this research problem, an improved shuffled frog leaping algorithm based on a genetic is proposed. We design double-layer encoding introduce single point uniform crossover operator, select method in probability form complete evolution meme group. To avoid damaging grouping information, individual structure transformed into unit form. Finally, numerical experiments were conducted using examples large small sizes for verification. The experimental results demonstrate feasibility proposed model algorithm, as well necessity problem.

Language: Английский

Citations

0