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Quality control is a scientific means for conducting observations, tests, and inspections and thereby making decisions that improve the perfomance of industrial processes. This book develops a set of dynamic approaches characterized by coordination. In practice, quality control problems almost never exist in isolation. The basic methodology underlying the studies is Markov decision programming. The book can be used as a graduate text for a new course on statistical process control, or as a reference for researchers and practitioners in mathematics, operations research and operations management, quality control, production planning, and logistics.
List of contents
Stochastic Monotonicity, Convexity and Submodularity.- Quality Control for Products with Warranty.- Process Control in Batch Production.- Coordinated Production-Inspection in a Tandem System.- Sequential Inspection Under Capacity Constraints.- Coordination of Interstage Inspections.- Optimal Inspection in an Assembly System.- Coordinated Replenishment and Rework with Unreliable Supply Sources.- Inventory Control with Substitution.
Summary
Quality control is a scientific means for conducting observations, tests, and inspections and thereby making decisions that improve the perfomance of industrial processes. This book develops a set of dynamic approaches characterized by coordination. In practice, quality control problems almost never exist in isolation. The basic methodology underlying the studies is Markov decision programming. The book can be used as a graduate text for a new course on statistical process control, or as a reference for researchers and practitioners in mathematics, operations research and operations management, quality control, production planning, and logistics.
