Factory Physics: Foundations of Manufacturing ManagementAfter a brief introductory chapter, Factory Physics 3/e is divided into three parts: I - The Lessons of History; II - Factory Physics; and III - Principles in Practice. The scientific approach to manufacturing and supply chain management, developed in Part II, is unique to this text. No other text or professional book provides a rigorous, principles-based foundation for manufacturing management. The Third Edition offers tighter connections between Lean Manufacturing, MRP/ERP, Six Sigma, Supply Chain Management, and Factory Physics. In addition to enhancing the historical overview of how these systems evolved, the authors show explicitly how users can achieve Lean Manufacturing objectives (faster response, less inventory) using the integration aspects of MRP/ERP/SCM systems along with the variance analysis methods of Six Sigma. Factory Physics provides the overarching framework that coordinates all of these initiatives into a single-focused strategy. |
Contents
THE LESSONS OF HISTORY | 10 |
Manufacturing in America | 14 |
From EOQ to ROP | 48 |
Copyright | |
25 other sections not shown
Other editions - View all
Factory Physics: Foundations of Manufacturing Management Wallace J. Hopp,Mark L. Spearman No preview available - 2000 |
Common terms and phrases
algorithm American analysis approach arrival assembly average cycle backorder level balanced line base stock basic batch bottleneck buffer capacity Chapter components compute consider constraints CONWIP line decision demand discuss distribution due dates effective environment EOQ model example exponential factory physics Figure fill rate firm forecasting function given Hence holding cost improvement increase industry Japanese kanban kanban system Little's law lot-sizing machine manufacturing management manufacturing systems material requirements planning mean measures module MRP system normal distribution on-hand inventory optimal order quantity overtime parameters percent performance period planned order releases plant Poisson Poisson distribution practical probability problem pull system purchase queue random variable reduce reorder point replenishment lead result rework safety stock scheduled receipts scientific management setup cost standard deviation standard normal table station stockout supplier throughput units utilization vendor Wagner-Whitin week WIP level workers workstation zero
References to this book
Production Planning by Mixed Integer Programming Yves Pochet,Laurence A. Wolsey No preview available - 2006 |