Scheduling in Supply Chains Using Mixed Integer Programming (PDF)

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:

* 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

* 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.