Maintenance modeling and operation parameters optimization for complex production line under reliability constraints

Zhou, Hongming; Wang, Sufen; Qi, Faqun; Gao, Shun

doi:10.1007/s10479-019-03228-9

Cited by 9 publications

(3 citation statements)

References 22 publications

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“…A non-linear programming model was formulated and solved. Authors of [16] proposed an optimal preventive maintenance policy in order to get operational parameters for a production line. A non-linear model and a heuristic are provided to minimize the total cost.…”

Section: B Optimization Methods For Maintenance Problemsmentioning

confidence: 99%

Stochastic Maintenance Optimization of Complex Industrial Systems under Uncertainty of Repair Time and Resources

Hadji

Khebbache

Batteux

2022

2022 6th International Conference on System Reliability and Safety (ICSRS)

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This paper focuses on maintenance optimization strategies in complex manufacturing systems under uncertainty of available resources and tasks duration constraints. We propose a deterministic formulation of the maintenance optimization problem and provide a chance constraints modeling to formulate uncertainty constraints. Our stochastic mathematical model is reformulated using approximations providing deterministic equivalent formulations that we solve in negligible times to reach near global solutions. Simulation results are provided to illustrate the efficiency of our mathematical models when highlighting the convergence of the chance constraints formulation to the deterministic form for given confidence levels.

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Section: B Optimization Methods For Maintenance Problemsmentioning

confidence: 99%

Stochastic Maintenance Optimization of Complex Industrial Systems under Uncertainty of Repair Time and Resources

Hadji

Khebbache

Batteux

2022

2022 6th International Conference on System Reliability and Safety (ICSRS)

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“…According to the work content, the conveyor belt in the production line can be divided into two parts: the robot carrying end conveyor belt, the through hole and the packing section conveyor belt. According to the composition of the conveyor belt, the above two types of conveyor belts both use chain drive 43 . The current conveyor belt speed can be calculated using Eq.…”

Section: Risk Assessment-based Design Of a Unit Control System For Pa...mentioning

confidence: 99%

Theoretical design and experimental verification of control system for building material packaging unit based on risk management

Fang,

Deng

2024

Sci Rep

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Facing the shortage of special building materials packaging machinery with thermal insulation and low intelligence, this paper designs a set of mechanical and electrical integration packaging unit control system to reduce the risk of material transportation for different stakeholders. According to risk management tools, the system takes Mitsubishi PLC as the control core and combines with communication module, servo motor drive system and touch screen man–machine interface to realize the risk simulation and automatic control of the packaging unit. The simulation results of PID control model show that the parameters such as speed and torque can be stabilized in a relatively short period of time when the load is suddenly changed within 1.5 s. Theoretical verification of the system has small steady-state error, rapid response, and good control effect. The man–machine interface design was carried out and the actual corresponding test experiment was carried out. The experimental results showed that the overall operation rate of the packaging unit system reached 98.15%, the pass rate was 99.03%, and the production capacity was about 9600 packs/hour, which met the production requirements. The control system of the building material packaging unit designed in this paper realizes the equipment intelligence, has a high degree of automation, and shows good potential application value in the aspects of building information, reduction of construction risks and manufacturing intelligence.

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“…In addition, the production of lipstick of diferent specifcations can be achieved by simply changing the mold. Manual removal is replaced by the robotic manipulator, while the whole machine is controlled and managed by pneumatic logic controller, combined with a human-computer interface [9]. Compared to the traditional flling machines, the proposed equipment shows some improvement in fexibility, production efciency, and intelligence.…”

Section: Structure Design and Optimization Ofmentioning

confidence: 99%

Servo System Control of Turntable Lipstick-Filling Machine Based on Particle Swarm Optimization

Zhong

Tao

Zou

et al. 2022

Advances in Materials Science and Engineering

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In order to improve the production quality of the lipstick-filling machines and the performance of the equipment, the structure of a turntable lipstick-filling machine was designed and the servo control was optimized, considering the known production defects. First, based on the lipstick-filling process, the structure of the turntable lipstick-filling machine was designed. Regarding the bubble problem in lipstick filling, an elastic connecting rod vibration device was designed. Based on the principle of PMSM and a position servo system, a mathematical model of the lipstick-filling servo system was established, the system transfer function was calculated and its dynamic performance was analyzed. Combined with the transfer function, the lipstick-filling servo system PID control and particle swarm optimization PID control simulation models were built. The system adjustment time ts was 0.7 s under particle swarm optimization. Finally, a prototype was built to verify the simulation optimization results. The experimental results demonstrate that the qualified rate of lipstick filling, under the particle swarm optimization PID control implementation, is 97%, indicating that the particle swarm algorithm is quite applicable and has an economic impact by improving the accuracy and stability of the lipstick-filling servo system.

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Maintenance modeling and operation parameters optimization for complex production line under reliability constraints

Cited by 9 publications

References 22 publications

Stochastic Maintenance Optimization of Complex Industrial Systems under Uncertainty of Repair Time and Resources

Stochastic Maintenance Optimization of Complex Industrial Systems under Uncertainty of Repair Time and Resources

Theoretical design and experimental verification of control system for building material packaging unit based on risk management

Servo System Control of Turntable Lipstick-Filling Machine Based on Particle Swarm Optimization

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