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モデリング&シミュレーション Modeling and simulation
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モデリング&シミュレーション( Modeling and Simulation, M&S )は、シミュレーションの基礎としてモデル(例: システム、エンティティ、現象、またはプロセスの物理学的、数学的、または論理的表現)を使用して、経営上または技術的な意思決定に利用されるデータを生成することである。 モデリング&シミュレーションのコンピュータアプリケーションでは、コンピュータを使用して、物理モデルの主要なパラメータを含む数理モデルを構築する。数理モデルは物理モデルを仮想的な形で表し、対象となる実験をセットアップする条件が適用される。シミュレーションが開始され、つまり、コンピューターが数理モデル上でこれらの条件の結果を計算し、実装に応じて機械または人間が読み取り可能な形式で結果を出力する。 Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.
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Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making. In the computer application of modeling and simulation a computer is used to build a mathematical model which contains key parameters of the physical model. The mathematical model represents the physical model in virtual form, and conditions are applied that set up the experiment of interest. The simulation starts – i.e., the computer calculates the results of those conditions on the mathematical model – and outputs results in a format that is either machine- or human-readable, depending upon the implementation. The use of M&S within engineering is well recognized. Simulation technology belongs to the tool set of engineers of all application domains and has been included in the body of knowledge of engineering management. M&S helps to reduce costs, increase the quality of products and systems, and document and archive lessons learned. Because the results of a simulation are only as good as the underlying model(s), engineers, operators, and analysts must pay particular attention to its construction. To ensure that the results of the simulation are applicable to the real world, the user must understand the assumptions, conceptualizations, and constraints of its implementation. Additionally, models may be updated and improved using results of actual experiments. M&S is a discipline on its own. Its many application domains often lead to the assumption that M&S is a pure application. This is not the case and needs to be recognized by engineering management in the application of M&S. The use of such mathematical models and simulations avoids actual experimentation, which can be costly and time-consuming. Instead, mathematical knowledge and computational power is used to solve real-world problems cheaply and in a time efficient manner. As such, M&S can facilitate understanding a system's behavior without actually testing the system in the real world. For example, to determine which type of spoiler would improve traction the most while designing a race car, a computer simulation of the car could be used to estimate the effect of different spoiler shapes on the coefficient of friction in a turn. Useful insights about different decisions in the design could be gleaned without actually building the car. In addition, simulation can support experimentation that occurs totally in software, or in human-in-the-loop environments where simulation represents systems or generates data needed to meet experiment objectives. Furthermore, simulation can be used to train persons using a virtual environment that would otherwise be difficult or expensive to produce. モデリング&シミュレーション( Modeling and Simulation, M&S )は、シミュレーションの基礎としてモデル(例: システム、エンティティ、現象、またはプロセスの物理学的、数学的、または論理的表現)を使用して、経営上または技術的な意思決定に利用されるデータを生成することである。 モデリング&シミュレーションのコンピュータアプリケーションでは、コンピュータを使用して、物理モデルの主要なパラメータを含む数理モデルを構築する。数理モデルは物理モデルを仮想的な形で表し、対象となる実験をセットアップする条件が適用される。シミュレーションが開始され、つまり、コンピューターが数理モデル上でこれらの条件の結果を計算し、実装に応じて機械または人間が読み取り可能な形式で結果を出力する。 工学におけるM&Sの使用はよく知られている。すべての応用分野のエンジニアはツールセットにシミュレーション技術を有しており、それは経営工学の知識体系に含まれてきた。M&Sは、コストの削減、製品とシステムの品質の向上、習得した知識の記録と保管に役立っている。シミュレーションの結果は、基礎となるモデルと同じだけの質であるため、エンジニア、オペレーター、およびアナリストは、その構築に特に注意を払う必要がある。シミュレーションの結果が現実の世界に確実に適用されるようにするには、ユーザーはその実装の仮定条件、概念化、および制約を理解する必要がある。さらに、実際の実験結果を使用して、モデルを更新および改善することができる。M&Sはそれ自体が学問分野である。その多くの応用分野では、M&Sが純粋な応用であるという前提につながることがよくある。これは事実ではなく、M&Sの適用において経営工学によって認識される必要がある。 数理モデルとシミュレーションを使用すると、コストと時間がかかる可能性のある実際の実験を回避できる。代わりに、数学的知識と計算能力を用いて、現実世界の問題を安価かつ時間効率の高い方法で解決する。そのため、M&Sは、現実世界でシステムを実際にテストすることなく、システムの動作の理解を促進できる。例えば、レースカーの設計時にトラクションを最も改善するスポイラーの種類を決定するには、車のコンピューターシミュレーションを使用して、摩擦係数に対するさまざまなスポイラーの形状の影響を順番に推定できる。実際に車を製造することなく、デザインのさまざまな意思決定に関する有用な洞察を収集することができる。加えて、シミュレーションは、ソフトウェアで完全に発生する実験、あるいはシミュレーションがシステムを表したり、実験の目的を満たすために必要なデータを生成したりするhuman-in-the-loop(HITL)環境で発生する実験をサポートすることができる。さらに、シミュレーションは、ほかの方法では創造が困難または高価であろう仮想環境を使用して人を訓練するために使用できる。
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