Essentials of Monte Carlo Simulation

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جزئیات پرداخت

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Essentials of Monte Carlo Simulation

نویسنده: Nick T. Thomopoulos ۰ ۶۱۳ Views ۰ Downloads

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Monte Carlo simulation techniques applied to forecasting, inventory, safety stock, and production sequencing for decision-making.

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Categories: English, Sociology of Work and Industry, World Poetry (Original and Translated), Programming and Software Development, Literary Criticism and Analysis, Global Politics and World Order, Live of the Prophet

This text presents Monte Carlo simulation principles tailored for building statistical models with real-world industry applications. It covers diverse topics including time series forecasting accuracy, order quantity strategies, safety stock determination, and production job sequencing. The author draws from extensive professional and academic experience, providing practical examples and solution methods coded in various programming languages. Notable themes include comparison of forecasting intervals, inventory cost optimization, supplier delivery impact on service levels, and scheduling in mixed-model assembly lines. Additionally, it addresses estimation methods for multivariate normal and lognormal distributions. Readers benefit from the integration of classroom theory with applied industrial problems, supporting confident managerial decisions through simulation analysis.