Integrated production and maintenance planning under uncertain demand with concurrent learning of yield rate

Zhang, Huidong; Djurdjanović, Dragan

doi:10.1007/s10696-021-09417-8

Cited by 9 publications

(3 citation statements)

References 24 publications

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“…In future work, we will investigate its possible applications to a wider range of systems, such as the collision-force estimation of mobile robots with singular configurations. and the condition (21) leads to e h − hκ S(κ s , k) + e h − hκ S(κ s , k) 2 < −hωI, (35) substituting (34) and (35) to (33)…”

Section: Discussionmentioning

confidence: 99%

“…An effective method for PE-free estimation problems is concurrent learning (CL). Since proposed in [32], CL is widely applied to system identification [33], [34], adaptive control [35], robust control [36], optimal control [37], observer design [38], and differential games [39]. By utilizing the history stack, a queue structure storing history system states and inputs, CL ensures precise approximation of system parameters without PE [40].…”

Section: Introductionmentioning

confidence: 99%

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A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning

Zhang

Liu

et al. 2023

IEEE Trans. Circuits Syst. I

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning

Zhang

Liu

et al. 2023

IEEE Trans. Circuits Syst. I

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“…In the existing research, uncertain market demand is mainly divided into stochastic uncertain demand and fuzzy uncertain demand [8,11]. For the production problem under stochastic uncertain demand, after considering the dependence of equipment conditions and production rate on output, Zhang et al [12] proposed an integrated decision-making strategy for single-machine production and maintenance under uncertain demand and solved it through a two-stage stochastic programming model. Karakaya, S and Koksal, G [13] studied a multiperiod product line mixing problem considering the interdependence between products and the destruction effect of new products in the context of uncertain price, demand and production cost and established a two-stage stochastic programming model for this purpose.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

Tang

Wang

2022

IEEE Access

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With the gradual diversification of customer demand, to improve the rapid response ability of enterprises, this paper fully considers uncertain market information under the background of mass customization and establishes a new process industry multi-product switching production lot sizing and scheduling model with the goal of minimizing the maximum completion time and total switching cost. Fuzzy chance-constrained programming is used to explicitly incorporate market demand with uncertain quantities into the model. Starting from reality, this paper considers the switching cost of equipment when processing multiple varieties of products and skillfully integrates the conversion rate of materials during processing into the novel model, making the entire production system closer to the real state. It provides a new concept to consider cost reduction for actual workshop scheduling management. In addition, this paper proposes an improved multi-objective genetic particle swarm optimization (SMOPSO-IIs) algorithm to simulate and solve the model. The operation results show that the Pareto solution obtained by the SMOPSO-IIs algorithm is better overall. Finally, the model is solved by example simulation, and the operation results are analyzed along with a scheduling Gantt chart to verify its applicability and effectiveness. The model presented in this paper can be used to further shorten the gap between production theory and practical application and improve the current workshop scheduling management system of the process industry.INDEX TERMS Mass customization, process industry lot sizing and scheduling; uncertain market information; product switching

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A joint design of production, maintenance planning and quality control for continuous flow processes with multiple assignable causes

Wan

Mei

Qiao

2023

CIRP Journal of Manufacturing Science and Technology

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Integrated production and maintenance planning under uncertain demand with concurrent learning of yield rate

Cited by 9 publications

References 24 publications

A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning

A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning

Multiobjective Lot Sizing and Scheduling of Multiproduct Switching Production in the Process Industry Considering Uncertain Market Information Under Mass Customization

A joint design of production, maintenance planning and quality control for continuous flow processes with multiple assignable causes

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