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Supply chain planning can feel daunting and confusing and so much more. How can you make decisions about how many goods to procure, make, and deliver before knowing exactly what the demand for products is going to be?
Gerald Feigin, a partner at Analytics Operations Engineering, has answers. Feigin helps you and other decision makers understand the dynamic information about future demand, available production capacity, and sources of supply. This book smartly focuses on the three interlinked processes that compose effective supply chain planning: demand planning, sales and operations planning, and inventory and supply planning. When executed well, these planning processes will help a company to achieve its targeted balance between efficiency and responsiveness.
Read more and learn specifics about these processes, and how they are interconnected and the practical challenges of implementing them. Feigin also explains the important ways in which analytical tools and methods can be utilized to make better supply chain planning decisions.
About the author
Gerald Feigin, PhD, has extensive experience in computer modeling, supply chain planning, inventory management, forecasting, and operations. He is a partner at Analytics Operations Engineering; a consulting company that applies advanced quantitative methods to solve challenging operations problems. Prior to joining Analytics, he was a research staff member in the manufacturing research department at the IBM T.J. Watson Research Center and was a solution architect at i2 Technologies. Dr. Feigin has served as an adjunct professor at Columbia Business School in New York and at the Whitman School of Management at Syracuse University, where he has taught classes in Supply Chain Management and Business Process Modeling. He is the author of the book Supply Chain Planning and Analytics.
