Optimal Buffer Allocation in Multi-Product Repairable Production Lines Based on Multi-State Reliability and Structural Complexity

doi:10.3837/tiis.2020.04.010

Cited by 2 publications

(2 citation statements)

References 55 publications

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“…Hence, a multi-objective optimal allocation model is developed, which is generally more complicated and solved by the intelligent optimization algorithm. Duan et.al [9] investigated an optimization allocation method for maximizing the system's theoretical production rate and minimizing the system state entropy. Considering that the reliability, cost, and manufacturing consistency are coupled, Liu et.al [22] put forward a reliability allocation method based on multidisciplinary design optimization.…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of reliability improvement target based on multiple correlation failures and risk uncertainty

Jia¹,

Yan²,

Kang³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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Optimal allocation of the reliability improvement target is essential for the system optimization design. In order to solve the problems that the optimization model is with loss of generality and the validity of the optimal solution is weakened, an optimal allocation method is proposed by considering multiple correlation failures and risk uncertainty in this paper. Two new concepts are presented, such as independent failure results in basic risk, and correlation failure leads to disturbance risk. A risk assessment machinery of “actual risk = basic risk + disturbance risk” is proposed. The action mechanisms of the three correlation failures are studied based on the cooperation game theory, and the generalized risk models are given under probability measure. Considering the improvement cost, the expectation and the variance of the reduction of system risk, a multi-objective optimal allocation model is developed, which is solved by using the PSO algorithm. Finally, the proposed optimal allocation is implemented at the 2-stage NGW planetary reducer, and the results show that it is more efficient and feasible for engineering practice.

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Section: Introductionmentioning

confidence: 99%

Optimal allocation of reliability improvement target based on multiple correlation failures and risk uncertainty

Jia¹,

Yan²,

Kang³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

View full text Add to dashboard Cite

show abstract

“…The research showed the advantages of both the suggested initialization method and the adaptive mechanism built into the algorithm. Duan et al [22] optimized the multi-stage production line, including the unreliable machines. The theoretical production rate was maximized, and the system state entropy was minimized.…”

Section: Introductionmentioning

confidence: 99%

Development and Numerical Optimization of a System of Integrated Agents for Serial Production Lines

et al. 2023

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In modern high-volume industries, the serial production line (SPL) is of growing importance due to the inexorable increase in the complexity of manufacturing systems and the associated production costs. Optimal decisions regarding buffer size and the selection of components when designing and implementing an SPL can be difficult, often requiring complex analytical models, which can be difficult to conceive and construct. Here, we propose a model to evaluate and optimize the design of an SPL, integrating numerical simulation with artificial intelligence (AI). Numerous studies relating to the design of SPL systems have been published, but few have considered the simultaneous consideration of a number of decision variables. Indeed, the authors have been unable to locate in the published literature even one work that integrated the selection of components with the optimization of buffer sizes into a single framework. In this research, a System of Integrated Agents Numerical Optimization (SIGN) is developed by which the SPL design can be optimized. A SIGN consists of a components selection system and a decision support system. A SIGN aids the selection of machine tools, buffer sizes, and robots via the integration of AI and simulations. Using a purpose-developed interface, a user inputs the appropriate SPL parameters and settings, selects the decision-making and optimization techniques to use, and then displays output results. It will be implemented in open-source software to broaden the impact of the SIGN and extend its influence in industry and academia. It is expected that the results of this research project will significantly influence open-source manufacturing system design and, consequently, industrial and economic development.

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Optimal Buffer Allocation in Multi-Product Repairable Production Lines Based on Multi-State Reliability and Structural Complexity

Cited by 2 publications

References 55 publications

Optimal allocation of reliability improvement target based on multiple correlation failures and risk uncertainty

Optimal allocation of reliability improvement target based on multiple correlation failures and risk uncertainty

Development and Numerical Optimization of a System of Integrated Agents for Serial Production Lines

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