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Risk Modeling for Supply Chain & Operations with Monte Carlo: Building Robust Models in Excel and Python - Couverture souple
Synopsis
Reactive Publishing
In today’s volatile global markets, supply chain and operations professionals face unprecedented uncertainty. From demand fluctuations and supplier disruptions to price volatility and geopolitical risks, traditional deterministic models often fall short. This practical guide shows you how to build robust, data-driven risk models using Monte Carlo simulation, one of the most powerful techniques for quantifying uncertainty and making better decisions under risk.
You will learn how to:
- Construct Monte Carlo simulations from the ground up in both Excel and Python
- Model key supply chain and operations risks including demand variability, lead time uncertainty, price fluctuations, and inventory risk
- Translate complex real-world problems into probabilistic models
- Analyze simulation outputs to generate actionable insights and risk metrics
- Compare deterministic vs. stochastic approaches and understand when Monte Carlo adds the most value
- Build reusable, professional-grade models suitable for both quick analysis and enterprise environments
Written for supply chain analysts, operations managers, risk professionals, and data-savvy practitioners, this book bridges the gap between theory and hands-on implementation. Whether you work in manufacturing, logistics, retail, or procurement, you’ll gain concrete skills to stress-test your supply chain and improve resilience.
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Risk Modeling for Supply Chain & Operations with Monte Carlo: Building Robust Models in Excel and Python
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Etat : New. Print on Demand. N° de réf. du vendeur I-9798198364493
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Risk Modeling for Supply Chain and Operations with Monte Carlo
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798198364493
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Risk Modeling for Supply Chain & Operations with Monte Carlo (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Paperback. Etat : new. Paperback. Reactive PublishingIn today's volatile global markets, supply chain and operations professionals face unprecedented uncertainty. From demand fluctuations and supplier disruptions to price volatility and geopolitical risks, traditional deterministic models often fall short. This practical guide shows you how to build robust, data-driven risk models using Monte Carlo simulation, one of the most powerful techniques for quantifying uncertainty and making better decisions under risk.You will learn how to: Construct Monte Carlo simulations from the ground up in both Excel and PythonModel key supply chain and operations risks including demand variability, lead time uncertainty, price fluctuations, and inventory riskTranslate complex real-world problems into probabilistic modelsAnalyze simulation outputs to generate actionable insights and risk metricsCompare deterministic vs. stochastic approaches and understand when Monte Carlo adds the most valueBuild reusable, professional-grade models suitable for both quick analysis and enterprise environmentsWritten for supply chain analysts, operations managers, risk professionals, and data-savvy practitioners, this book bridges the gap between theory and hands-on implementation. Whether you work in manufacturing, logistics, retail, or procurement, you'll gain concrete skills to stress-test your supply chain and improve resilience. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798198364493
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Risk Modeling for Supply Chain and Operations with Monte Carlo
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798198364493
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Risk Modeling for Supply Chain & Operations with Monte Carlo (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Reactive PublishingIn today's volatile global markets, supply chain and operations professionals face unprecedented uncertainty. From demand fluctuations and supplier disruptions to price volatility and geopolitical risks, traditional deterministic models often fall short. This practical guide shows you how to build robust, data-driven risk models using Monte Carlo simulation, one of the most powerful techniques for quantifying uncertainty and making better decisions under risk.You will learn how to: Construct Monte Carlo simulations from the ground up in both Excel and PythonModel key supply chain and operations risks including demand variability, lead time uncertainty, price fluctuations, and inventory riskTranslate complex real-world problems into probabilistic modelsAnalyze simulation outputs to generate actionable insights and risk metricsCompare deterministic vs. stochastic approaches and understand when Monte Carlo adds the most valueBuild reusable, professional-grade models suitable for both quick analysis and enterprise environmentsWritten for supply chain analysts, operations managers, risk professionals, and data-savvy practitioners, this book bridges the gap between theory and hands-on implementation. Whether you work in manufacturing, logistics, retail, or procurement, you'll gain concrete skills to stress-test your supply chain and improve resilience. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798198364493
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Risk Modeling for Supply Chain & Operations with Monte Carlo : Building Robust Models in Excel and Python
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware - Reactive PublishingIn today's volatile global markets, supply chain and operations professionals face unprecedented uncertainty. From demand fluctuations and supplier disruptions to price volatility and geopolitical risks, traditional deterministic models often fall short. This practical guide shows you how to build robust, data-driven risk models using Monte Carlo simulation, one of the most powerful techniques for quantifying uncertainty and making better decisions under risk.You will learn how to: - Construct Monte Carlo simulations from the ground up in both Excel and Python- Model key supply chain and operations risks including demand variability, lead time uncertainty, price fluctuations, and inventory risk- Translate complex real-world problems into probabilistic models- Analyze simulation outputs to generate actionable insights and risk metrics- Compare deterministic vs. stochastic approaches and understand when Monte Carlo adds the most value- Build reusable, professional-grade models suitable for both quick analysis and enterprise environmentsWritten for supply chain analysts, operations managers, risk professionals, and data-savvy practitioners, this book bridges the gap between theory and hands-on implementation. Whether you work in manufacturing, logistics, retail, or procurement, you'll gain concrete skills to stress-test your supply chain and improve resilience. N° de réf. du vendeur 9798198364493
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EUR 50
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