Research on flexibility of production system based on hybrid modeling and simulation

Ren, Dawei; Zhang, Xiaodong; Lei, Shaojuan; Bi, Zehua

doi:10.3934/mbe.2021049

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…Zhou 4 believes that the assessment of flexibility can be measured by the lead time deviation. Ren 5 believes that the degree of flexibility of manufacturing systems can be evaluated by the economic losses caused by changes in market conditions. Morgan Swink 6 believes that the deviation between the planned delivery time and the actual delivery time of the order can be used as the performance index of the production system to evaluate its flexibility level.…”

Section: Analysis Of Factors Affecting the Flexibility Of Assembly Cellmentioning

confidence: 99%

Flexible evaluation of complex equipment assembly cell

YiFei,

Jichuan,

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

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Section: Analysis Of Factors Affecting the Flexibility Of Assembly Cellmentioning

confidence: 99%

Flexible evaluation of complex equipment assembly cell

YiFei,

Jichuan,

2023

Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023)

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“…However, the decision-making level and flexibility must be evaluated in the project's early design stages to account for potential capital, operating costs, and spatial or technological constraints. In the literature, the concept of flexibility in energy and manufacturing supply chains has become interestingly important in increasing supply chains' responsiveness to uncertainties arising from dynamic environments [25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Current and Future Role of Natural Gas Supply Chains in the Transition to a Low-Carbon Hydrogen Economy: A Comprehensive Review on Integrated Natural Gas Supply Chain Optimisation Models

Yusuf,

Al-Ansari

2023

Energies

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Natural gas is the most growing fossil fuel due to its environmental advantages. For the economical transportation of natural gas to distant markets, physical (i.e., liquefaction and compression) or chemical (i.e., direct and indirect) monetisation options must be considered to reduce volume and meet the demand of different markets. Planning natural gas supply chains is a complex problem in today’s turbulent markets, especially considering the uncertainties associated with final market demand and competition with emerging renewable and hydrogen energies. This review study evaluates the latest research on mathematical programming (i.e., MILP and MINLP) as a decision-making tool for designing and planning natural gas supply chains under different planning horizons. The first part of this study assesses the status of existing natural gas infrastructures by addressing readily available natural monetisation options, quantitative tools for selecting monetisation options, and single-state and multistate natural gas supply chain optimisation models. The second part investigates hydrogen as a potential energy carrier for integration with natural gas supply chains, carbon capture utilisation, and storage technologies. This integration is foreseen to decarbonise systems, diversify the product portfolio, and fill the gap between current supply chains and the future market need of cleaner energy commodities. Since natural gas markets are turbulent and hydrogen energy has the potential to replace fossil fuels in the future, addressing stochastic conditions and demand uncertainty is vital to hedge against risks through designing a responsive supply chain in the project’s early design stages. Hence, hydrogen supply chain optimisation studies and the latest works on hydrogen–natural gas supply chain optimisation were reviewed under deterministic and stochastic conditions. Only quantitative mathematical models for supply chain optimisation, including linear and nonlinear programming models, were considered in this study to evaluate the effectiveness of each proposed approach.

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Modeling and simulation of task rescheduling strategy with resource substitution in cloud manufacturing

Zhang¹,

Ren

2022

MBE

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<abstract> <p>When a cloud manufacturing environment extends to multi-user agent, multi-service agent and multi-regional spaces, the process of manufacturing services faces increased disturbances. When a task exception occurs because of disturbance, it is necessary to quickly reschedule the service task. We propose a multi-agent simulation modeling approach to simulate and evaluate the service process and task rescheduling strategy of cloud manufacturing, with which impact parameters can be achieved through careful study under different system disturbances. First, the simulation evaluation index is designed. In addition to the quality of service index of cloud manufacturing, the adaptive ability of task rescheduling strategy in response to a system disturbance is considered, and the flexibility of cloud manufacturing service index is proposed. Second, considering the substitution of resources, the internal and external transfer strategies of service providers are proposed. Finally, a simulation model of the cloud manufacturing service process of a complex electronic product is constructed by multi-agent simulation, and simulation experiments under multiple dynamic environments are designed to evaluate different task rescheduling strategies. The experimental results indicate that the external transfer strategy of the service provider in this case has higher quality of service and flexibility of service. Sensitivity analysis indicates that the matching rate of substitute resources for internal transfer strategy of service providers and the logistics distance of external transfer strategy of service providers are both sensitive parameters, which have significant impacts on the evaluation indexes.</p> </abstract>

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Research on flexibility of production system based on hybrid modeling and simulation

Cited by 3 publications

References 38 publications

Flexible evaluation of complex equipment assembly cell

Flexible evaluation of complex equipment assembly cell

Current and Future Role of Natural Gas Supply Chains in the Transition to a Low-Carbon Hydrogen Economy: A Comprehensive Review on Integrated Natural Gas Supply Chain Optimisation Models

Modeling and simulation of task rescheduling strategy with resource substitution in cloud manufacturing

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