Value chain analysis using hybrid simulation and AHP

Rabelo, Luis; Eskandari, Hamidreza; Shaalan, Tarek; Helal, Magdy

doi:10.1016/j.ijpe.2006.05.011

Cited by 112 publications

(43 citation statements)

References 16 publications

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“…It is essential to emphasize the hybrid nature of distributed simulation models where discrete-event and continuous models are required due to the nature of the engineered systems [37,38]. There are many sources of expertise required to build and model these engineered systems.…”

Section: Discussionmentioning

confidence: 99%

“…For example, NASA uses the Common Real-Time Footprint (CRTF) in its decision to abort a launch. A debris dispersion simulation model was developed and validated with actual debris locations recovered from Space shuttle Columbia, the details of which can be found in [37]. Uncertainties accounted for when calculating the trajectories of debris include real-time state vector, fragment initial velocity, drag, lift, and wind.…”

Section: Simulation Models Of Range Safetymentioning

confidence: 99%

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Simulation Modeling of Space Missions Using the High Level Architecture

Rabelo

Sala-Diakanda

Pastrana

et al. 2013

Modelling and Simulation in Engineering

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This paper discusses an environment being developed to model a mission of the Space Launch System (SLS) and the Multipurpose Crew Vehicle (MPCV) being launched from Kennedy Space Center (KSC) to the International Space Station (ISS). Several models representing different phases of the mission such as the ground operations processes, engineered systems, and range components such as failure tree, blast, gas dispersion, and debris modeling are explained. These models are built using different simulation paradigms such as continuous, system dynamics, discrete-event, and agent-based simulation modeling. The High Level Architecture (HLA) is the backbone of this distributed simulation. The different design decisions and the information fusion scheme of this unique environment are explained in detail for decision-making. This can also help in the development of exploration missions beyond the International Space Station.

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Section: Discussionmentioning

confidence: 99%

Section: Simulation Models Of Range Safetymentioning

confidence: 99%

Simulation Modeling of Space Missions Using the High Level Architecture

Rabelo

Sala-Diakanda

Pastrana

et al. 2013

Modelling and Simulation in Engineering

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“…Consequently, we have argued [3,4] that hybrid simulation modeling can contribute to offer tools/mechanisms to meet the needs created by enterprise management. In addition, we believe that hybrid simulation can also contribute to model-based systems engineering.…”

Section: Discussionmentioning

confidence: 99%

Hybrid Simulation in the Enterprise and Model-Based Systems Engineering

Rabelo¹

2012

Ind Eng Manage

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Hybrid discrete-continuous simulation models of the enterprise and of the life cycle of systems are very important. This set of models consists of system dynamics models, continuous models of the higher hierarchical and more abstracted levels and connected to it are a number of discrete event simulations for selected operational, tactical functions, and phases of the life cycle. For example, system dynamics modeling best fits the macroscopic nature of activities at the higher management levels while the discrete models best fit the microscopic nature of the operational and tactical levels in the enterprise. On the other hand, system dynamics model can represent the nature of systems architecture development and discrete models the operations of a particular system.There are several questions to be answered in the future:• Why practitioners are not trying to develop/use hybrid models of enterprises?• Why system engineers are not trying to integrate models of the different phases of the life cycle of a system?• Why system engineers are not archiving in an executable way simulation models of systems of phases before op-erations has been started? Hybrid Simulation Modeling in Enterprise Management Hybrid Simulation Modeling in Model-Based Systems Engineering (MSBE)The definition of Systems Engineering used is that which is given by the International Council on Systems Engineering (INCOSE) [1] "Systems Engineering is an interdisciplinary approach and means to enable the realization of successful sys-tems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, and then proceeding with design synthesis and system validation while considering the complete problem". On the other hand, INCOSE [2] defines MBSE as "the formalized application of modeling to support system requirements, design, analysis, verification, and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases".In the last decade, system engineers have started to replace the traditional documenting process of system engineering which has proven inappropriate for modeling the various levels of functionality The management of the Enterprise is one of the classical business problems. Even components of the enterprise such as its supply chain has already enough complexity. A supply chain is a network of facilities that procure raw mate-rials/services/technologies, transform them into intermediate goods and final products/services/technologies, and deliver the products/services/technologies to customers through a distribution system. The purpose of supply chain management is to provide the right quantity of the right product at the right time to the right customers at an optimal cost. A typical manufacturing supply chain is comprised of five elements: suppliers, manufacturers, distributors, retailers and customers. The process of integrating all these elements involves the coordination and cross-functioning of production pl...

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“…Some SCM studies (Röder and Tibken, 2006;Rabelo et al, 2007;Persson and Araldi, 2009) apply system dynamics, discrete event simulation and hybrid simulation models to examine various configurations within the chain and what-if scenarios. Gulledge and Chavusholu (2008) and Huang et al, (2005) use the simulation technique to automate the SCOR model as an enabler for process-oriented supply chain business intelligence.…”

Section: Simulation Methodologymentioning

confidence: 99%