Advanced Statistical Modeling Supply Chain by Continental Academy Press (4 results)

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Supply chain optimization is a critical component of modern supply chain management, and advanced statistical modeling is at the forefront of this field. Advanced Statistical Modeling for Supply Chain Optimization provides a comprehensive overview of the statistical techniques and methodologies used to analyze and predict supply chain performance. From regression analysis and time-series forecasting to machine learning and data visualization, this book offers a detailed exploration of the key analytical tools and techniques used in supply chain optimization. By applying advanced statistical modeling to real-world supply chain data, this book equips readers with the knowledge and skills necessary to drive data-driven decision making in supply chain management. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Supply chain optimization and planning is a complex and data-intensive process that requires advanced statistical modeling techniques. Advanced Statistical Modeling for Supply Chain Optimization and Planning in Supply Chain offers a comprehensive guide to building and applying statistical models that can drive supply chain efficiency, productivity, and competitiveness. By leveraging advanced statistical modeling techniques, organizations can gain real-time insights into their supply chain operations, identify areas for improvement, and make data-driven decisions. This book provides a deep dive into the world of advanced statistical modeling, covering topics such as predictive modeling, machine learning, and data visualization. By mastering advanced statistical modeling, supply chain professionals can unlock new levels of efficiency, productivity, and competitiveness. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advanced Statistical Modeling for Supply Chain Optimization and Planning presents a cutting-edge approach to harnessing the power of statistical modeling in supply chain decision-making. This book provides a thorough treatment of advanced statistical techniques, including regression analysis, time series forecasting, and machine learning algorithms, to help supply chain professionals develop data-driven strategies for optimizing supply chain performance. By leveraging the insights gained from statistical modeling, readers can make informed decisions about inventory management, demand forecasting, and supply chain risk mitigation, ultimately driving business growth and competitiveness. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Advanced Statistical Modeling for Supply Chain Forecasting presents a comprehensive guide to the use of advanced statistical modeling techniques in supply chain forecasting. By examining the latest research and applications in statistical modeling, this book offers a detailed understanding of the methods and tools that can be used to identify patterns, predict trends, and make data-driven decisions in supply chain forecasting. The author's in-depth analysis of the statistical principles and techniques used in supply chain forecasting provides a comprehensive guide to the use of advanced statistical modeling in supply chain forecasting. Through a series of case studies and real-world examples, this book demonstrates the importance of data-driven decision making in driving supply chain excellence. As companies continue to face the challenges of complex and often rapidly changing market environments, Advanced Statistical Modeling for Supply Chain Forecasting offers a timely and essential guide to the principles and practices of advanced statistical modeling in supply chain forecasting. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.