Book description
A unified, systematic approach to applying mixed integer programming
solutions to integrated scheduling in customer-driven supply chains
Supply chain management is a rapidly developing field, and the recent
improvements in modeling, preprocessing, solution algorithms, and
mixed integer programming (MIP) software have made it possible to
solve large-scale MIP models of scheduling problems, especially
integrated scheduling in supply chains. Featuring a unified and
systematic presentation, Scheduling in Supply Chains Using Mixed
Integer Programming provides state-of-the-art MIP modeling and
solutions approaches, equipping readers with the knowledge and tools
to model and solve real-world supply chain scheduling problems in
make-to-order manufacturing.
Drawing upon the author's own research, the book explores MIP
approaches and examples-which are modeled on actual supply chain
scheduling problems in high-tech industries-in three comprehensive sections:
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Short-Term Scheduling in Supply Chains presents various MIP
models and provides heuristic algorithms for scheduling flexible
flow shops and surface mount technology lines, balancing and
scheduling of Flexible Assembly Lines, and loading and scheduling of
Flexible Assembly Systems
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Medium-Term Scheduling in Supply Chains outlines MIP models
and MIP-based heuristic algorithms for supplier selection and order
allocation, customer order acceptance and due date setting, material
supply scheduling, and medium-term scheduling and rescheduling of
customer orders in a make-to-order discrete manufacturing environment
-
Coordinated Scheduling in Supply Chains explores coordinated
scheduling of manufacturing and supply of parts as well as the
assembly of products in supply chains with a single producer and
single or multiple suppliers; MIP models for a single- or
multiple-objective decision making are also provided
Two main decision-making approaches are discussed and compared
throughout. The integrated (simultaneous) approach, in which all
required decisions are made simultaneously using complex, monolithic
MIP models; and the hierarchical (sequential) approach, in which the
required decisions are made successively using hierarchies of simpler
and smaller-sized MIP models. Throughout the book, the author provides
insight on the presented modeling tools using AMPL® modeling language
and CPLEX solver.
Scheduling in Supply Chains Using Mixed Integer Programming is
a comprehensive resource for practitioners and researchers working in
supply chain planning, scheduling, and management. The book is also
appropriate for graduate- and PhD-level courses on supply chains for
students majoring in management science, industrial engineering,
operations research, applied mathematics, and computer science.
TADEUSZ SAWIK
, PhD, is Professor of Industrial and Management Engineering and Chair
of the Department of Operations Research and Information Technology at
AGH University of Science and Technology (Krakow, Poland). He has
published numerous books and more than 150 journal articles on supply
chain optimization in high-tech industry and discrete optimization in
flexible manufacturing systems; production planning and scheduling by
mixed integer programming; and combinatorial optimization.
