This paper proposes a Systems Modeling Language (SysML)-based simulation model aggregation framework to develop aggregated simulation models with high accuracy. The framework consists of three major steps: 1) system c...
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ISBN:
(纸本)9781479920778
This paper proposes a Systems Modeling Language (SysML)-based simulation model aggregation framework to develop aggregated simulation models with high accuracy. The framework consists of three major steps: 1) system conceptual modeling, 2) simulation modeling, and 3) additive regression model-based parameter estimation. SysML is first used to construct the system conceptual model for a generic seedling propagation system in terms of system structure and activities in a hierarchical manner (i.e. low, medium and high levels). simulation models conforming to the conceptual model are then constructed in Arena. An additive regression model-based approach is proposed to estimate parameters for the aggregated simulation model. The proposed framework is demonstrated via one of the largest grafted seedling propagation systems in North America. The results reveal that 1) the proposed framework allows us to construct accurate but computationally affordable simulation models for seedling propagation system, and 2) model aggregation increases the randomness of simulation outputs.
The overhead-crane scheduling problem with spatial constraints has attracted extensive attention and lots of approaches are introduced to solve the problem. As we all know, in the manufacturing plant the crane schedul...
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ISBN:
(纸本)9781479920778
The overhead-crane scheduling problem with spatial constraints has attracted extensive attention and lots of approaches are introduced to solve the problem. As we all know, in the manufacturing plant the crane scheduling is one part of the production scheduling. However, most of approaches concern the crane scheduling in isolation. In this paper, we include the crane scheduling problem into the production scheduling environment and combine them together to obtain an integrated schedule. A simulation-based optimization solves this integrated scheduling problem. A genetic algorithm is introduced to determine the allocation of machines and cranes. A simulation model referring to a queuing network is used to evaluate the crane and machine allocation results and provides the fitness value for the genetic algorithm. The sequences of operations (processing and transporting) on each machine and each crane are determined by using the dispatching rule LPT. A heuristic deals with crane collision events.
The Songhua River Pollution Control Project is one of the most significant water-related environmental pollution control schemes in Northeastern *** paper details the requirements,architecture,and main components of a...
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The Songhua River Pollution Control Project is one of the most significant water-related environmental pollution control schemes in Northeastern *** paper details the requirements,architecture,and main components of an online river sudden pollution simulation system(RSPSS) for scientific planning and decision making for a complicated natural river *** the basis of a service-oriented method and spatiotemporal simulation technology,the following components are developed:multi-platform,multi-level,dynamic,and flexible data services;task services that can be used by other online ArcGIS Server Silverlight Projects;and integrated third-party hydrodynamic and water quality models,which can simulate complex river networks under natural hydrological and climatic conditions *** the RSPSS,spatial and nonspatial datasets and functions are seamlessly integrated from distributed sources by standard ***,this system can support effective cross-regional and cross-departmental decisions.A study of a real-world implementation of the suggested system involving the historical sudden pollution of the Songhua River based on the RSPSS is also presented.
To fulfill the needs of construction quality, progress control and sustainable development of the underground space, it is desirable to collect and visualize as-built tunnel information in real time. In the current pr...
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ISBN:
(纸本)9781479920778
To fulfill the needs of construction quality, progress control and sustainable development of the underground space, it is desirable to collect and visualize as-built tunnel information in real time. In the current practice, the as-built model of a tunnel is produced either by using advanced technologies like 3D laser scanning after construction ends, or by employing specialist tunnel surveyors to directly measure the invert positions. However, limitations of commonly applied as-built tunnel survey methods are identified in terms of accuracy, cost, or modeling speed. In this paper, we propose a new approach to enabling as-built modeling and visualization of tunnels based on real-time TBM tracking and positioning data. With a tunnel alignment automation control system being implemented, the TBM is turned into a "sensor" to map out as-build information in real time, without incurring extra labor cost or survey equipment. The proposed approach was field-tested and preliminary findings are discussed.
The capability of modeling real-world system operations has turned simulation into an indispensable problem-solving methodology for business system design and analysis. Today, simulation supports decisions ranging fro...
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ISBN:
(纸本)9781538634271
The capability of modeling real-world system operations has turned simulation into an indispensable problem-solving methodology for business system design and analysis. Today, simulation supports decisions ranging from sourcing to operations to finance, starting at the strategic level and proceeding towards tactical and operational levels of decision-making. In such a dynamic setting, the practice of simulation goes beyond being a static problem-solving exercise and requires integration with learning. This article discusses the role of learning in simulation design and analysis motivated by the needs of industrial problems and describes how selected tools of statistical learning can be utilized for this purpose.
By explicitly modeling the decision making of heterogeneous individuals, agent-based models can compute the resulting emergent phenomena on the micro-level. This lets planners evaluate new planning approaches for prob...
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ISBN:
(纸本)9781538634271
By explicitly modeling the decision making of heterogeneous individuals, agent-based models can compute the resulting emergent phenomena on the micro-level. This lets planners evaluate new planning approaches for problems that depend on individual decisions. Examples include airline revenue management or traffic control. However, when decision support relies on agent-based modeling, its applicability to real-world problems depends on the model's validity. This paper introduces a novel methodological concept to decompose agent-based models for calibration and validation. This concept enables modelers to isolate agents from the evolution of the model's state variables, allowing greater choice of calibration and validation approaches. The approach first parameterizes and validates individual agents, and subsequently re-calibrates the agent-collective within the entire model.
This work presents the development and application of an advanced modeling, simulation and optimization-based framework focused on the production process of a basic element of a internal combustion engine which is sup...
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ISBN:
(纸本)9781424427086
This work presents the development and application of an advanced modeling, simulation and optimization-based framework focused on the production process of a basic element of a internal combustion engine which is supplied by a leading factory in the Latin-American market. Lying on the concepts of the process-interaction approach, the principal components available in the discrete event simulation environment "SIMUL8" were used to achieve the best representation of this complex manufacturing system. Furthermore, advanced SIMUL8's Visual Logic tools were utilized for modeling specific design and operation features arising in the process under study. The developed tool provides a support system for making operative, tactical and strategic decisions, allowing the evaluation of possible scenarios ranging from different operation schemes to potential alternatives of investment. The principal aim of this work is to provide a systematic methodology to improve the productive capacity management, enhancing the process profitability and the degree of customer satisfaction.
Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to ...
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ISBN:
(纸本)9781467397414
Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely used together in practice. Optimization as an additional technique to this combination is even a more powerful approach especially when designing and improving complex processes with multiple conflicting objectives. This paper presents the mutual benefits that are gained when combining lean, simulation and optimization and how they overcome each other's limitations. A framework including the three concepts, some of the barriers for its implementation and a real-world industrial example are also described.
Fluctuation in the hygrothermal environment is the main cause of deterioration of the surfaces of the statues and murals in grottoes, seriously undermining the value of grottoes. Large-scale, intensive tourist visits ...
Fluctuation in the hygrothermal environment is the main cause of deterioration of the surfaces of the statues and murals in grottoes, seriously undermining the value of grottoes. Large-scale, intensive tourist visits during the peak season is a key factor in the short-term dramatic fluctuations of the hygrothermal environment inside grottoes. This study aims to optimize the current visitor patterns and reduce the impact of tourist visits on hygrothermal environment in grottoes, taking the world Heritage Site of Maijishan Grottoes as an example. The hygrothermal environment under different visitor patterns were quantitatively evaluated by a heat and moisture coupled transfer model. The monitoring results shows that the indoor air temperature is relatively stable in the Grotto No. 135, only 10 days more than 4 °C occur in winter, and the relative humidity is high during summer, with a risk of mold growth. The simulation results show that the current sustained visiting pattern has a different effect on the temperature and humidity inside the grotto in winter than in summer. The current pattern of continuous visitation causes an 8% drop in relative humidity within the grotto during the visit, making daily fluctuations in relative humidity close to 10% in winter, and causes a 2 °C rise in temperature during the summer. The air temperature and relative humidity in the grotto could keep the same to the situation of no visitation when using the interval visitation model, it largely eliminates the impact of visitors.
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