A hybrid approach to manufacturing enterprise simulation

Rabelo,; Helal, Sumi; Son, Son; Jones, Jones; Min, MIN; Deshmukh, Abhijit

doi:10.1109/wsc.2003.1261541

Cited by 27 publications

(15 citation statements)

References 32 publications

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“…La idea esencial en SD es que todos los elementos en un sistema interactúan a través de relaciones causales. Estas relaciones son representadas por bucles de realimentación, los cuales controlan las interacciones entre los elementos del sistema y son la causa de su comportamiento (Rabelo et al, 2003).…”

Section: Dinámica De Sistemasunclassified

Una comparación cualitativa de la dinámica de sistemas, la simulación de eventos discretos y la simulación basada en agentes

Sarmiento-Vásquez

López-Sandoval

2017

Ing. ind. (Lima)

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Resumen: La dinámica de sistemas, la simulación de eventos discretos y la simulación basada en agentes son tres formas de modelamiento ampliamente usadas para la toma de decisiones empresariales. Estos paradigmas están enfocados en representar el comportamiento de los sistemas en el tiempo, aunque con perspectivas distintas. En este artículo se presenta una comparación de los tres paradigmas en 10 aspectos, comparación que puede servir como referente para elegir la técnica más apropiada para un problema requerido. Palabras clave: teoría de sistemas / métodos de simulación / modelos matemáticosA qualitative comparison of system dynamics, discrete event simulation, and agent-based simulation AbstRAct: Systems dynamics, discrete event simulation, and agent-based simulation are three widely used forms of modeling for business decision making. These paradigms are focused on representing the behavior of systems over time, although in different perspectives. This paper compares the three paradigms in 10 aspects and it can serve as an indicator to choose the most appropriate technique to a required problem.

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Section: Dinámica De Sistemasunclassified

Una comparación cualitativa de la dinámica de sistemas, la simulación de eventos discretos y la simulación basada en agentes

Sarmiento-Vásquez

López-Sandoval

2017

Ing. ind. (Lima)

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“…The simulation models that are used for making or evaluating these decisions generally represent the flow of materials to and from processing machines and the operations of machines themselves (Rabelo et al, 2003). Potential problems can be identified and can be corrected using a simulation model.…”

Section: Schedule Evaluation By Using Simulation In Productionmentioning

confidence: 99%

Simulation Support in Construction Uncertainty Management: a Production Modelling Approach

Pfeiffer

Kádár

Bohács

et al. 2016

Period. Polytech. Transp. Eng.

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The execution of construction projects such as a highway construction or the elevation of a new bridge is a complex, highly equipment-intensive process and are subject to many different uncertainties. This is very similar to the manufacturing execution level in production systems where predefined productions plans and schedules cannot be completely implemented due to unexpected internal and external changes and disturbances. Following this analogy, the paper proposes the application of a discrete-event simulation based method which was already applied in the decision-support for manufacturing control to develop the decision-support in the execution of a construction project where the effects of the deviation from the short-term schedule can be easily and quickly analyzed. Keywords Construction project, simulation, planning and scheduling, disturbance handling, uncertainty management IntroductionThe execution of construction projects such as a highway construction or the elevation of a new bridge is a complex, highly equipment-intensive process and are subject to many different uncertainties (Motawa et al., 2007). Capacity and availability of machinery and human resources, material supply, technology and precedence constraints, geographical and weather conditions are all important aspect in both planning and the execution of a construction project. Planning and scheduling of such projects are done a-priori taking into account the relevant resources, preliminary set-up activities, time, space and precedence constraints, etc. (Hinze, 2011). Nowadays, several different approaches and tools are applied to generate the longer-term plan and shorter-term, detailed schedule(s) of a construction project. The schedules which cover shorter periods like several days or weeks are subject to changes thus new and new schedules are generated on given-period basis (e.g. weekly) taking the finished operations and the new tasks to be performed into consideration. The need for change in the schedule the so-called rescheduling comes from the field manager's level where the monitoring and controlling of real-time construction activities are carried out. The milestones of the project are always kept in the longer-term plan and these plans are only changed if significant delays occur, which danger the achievement of milestones and success of the construction.The aspects enumerated above are analogous with the characteristics of production planning and scheduling and manufacturing shop-floor control, especially of those in project-base manufacturing. In the paper we propose the application of a discrete-event simulation based method which was already applied in the decision-support for manufacturing control. The method addresses the decision-support in the execution of a construction project where the effects of the deviation from the short-term schedule can be easily and quickly analysed.

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“…Rabelo et al [17] provide some background on discrete-event simulation and describe its main focus, i.e. the design of new facilities, the evaluation of system improvements, as well as planning and scheduling decisions.…”

Section: Related Workmentioning

confidence: 99%

Adapting discrete-event simulation tools to support tactical forecasting in the automotive industry

et al. 2013

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A hybrid approach to manufacturing enterprise simulation

Cited by 27 publications

References 32 publications

Una comparación cualitativa de la dinámica de sistemas, la simulación de eventos discretos y la simulación basada en agentes

Una comparación cualitativa de la dinámica de sistemas, la simulación de eventos discretos y la simulación basada en agentes

Simulation Support in Construction Uncertainty Management: a Production Modelling Approach

Adapting discrete-event simulation tools to support tactical forecasting in the automotive industry

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