A unified, systematic approach to applying mixed integerprogramming solutions to integrated scheduling in customer-drivensupply chains Supply chain management is a rapidly developing field, and therecent improvements in modeling, preprocessing, solutionalgorithms, and mixed integer programming (MIP) software have madeit possible to solve large-scale MIP models of scheduling problems,especially integrated scheduling in supply chains. Featuring aunified and systematic presentation, Scheduling in Supply ChainsUsing Mixed Integer Programming provides state-of-the-art MIPmodeling and solutions approaches, equipping readers with theknowledge and tools to model and solve real-world supply chainscheduling problems in make-to-order manufacturing. Drawing upon the author's own research, the book explores MIPapproaches and examples-which are modeled on actual supply chainscheduling problems in high-tech industries-in three comprehensivesections: Short-Term Scheduling in Supply Chains presents variousMIP models and provides heuristic algorithms for schedulingflexible flow shops and surface mount technology lines, balancingand scheduling of Flexible Assembly Lines, and loading andscheduling of Flexible Assembly Systems Medium-Term Scheduling in Supply Chains outlines MIPmodels and MIP-based heuristic algorithms for supplier selectionand order allocation, customer order acceptance and due datesetting, material supply scheduling, and medium-term scheduling andrescheduling of customer orders in a make-to-order discretemanufacturing environment Coordinated Scheduling in Supply Chains explorescoordinated scheduling of manufacturing and supply of parts as wellas the assembly of products in supply chains with a single producerand single or multiple suppliers MIP models for a single- ormultiple-objective decision making are also provided Two main decision-making approaches are discussed and comparedthroughout. The integrated (simultaneous) approach, in which allrequired decisions are made simultaneously using complex,monolithic MIP models and the hierarchical (sequential) approach,in which the required decisions are made successively usinghierarchies of simpler and smaller-sized MIP models. Throughout thebook, the author provides insight on the presented modeling toolsusing AMPL modeling language and CPLEX solver. Scheduling in Supply Chains Using Mixed IntegerProgramming is a comprehensive resource for practitioners andresearchers working in supply chain planning, scheduling, andmanagement. The book is also appropriate for graduate- andPhD-level courses on supply chains for students majoring inmanagement science, industrial engineering, operations research,applied mathematics, and computer science.