Operations Planning

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A01=Joseph Geunes
advanced operations planning models
Age Group_Uncategorized
Age Group_Uncategorized
assignment
Author_Joseph Geunes
automatic-update
BFS
Bin Packing Problem
Category1=Non-Fiction
Category=KJMV5
combinatorial optimization
COP=United States
Delivery_Delivery within 10-20 working days
discrete decision analysis
Distribution Planning Problems
Economic Lot Sizing Problem
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
facility location theory
FPTAS
Gap
generalized
Hamiltonian Tour
Holding Costs
integer
Integer Feasible Solution
Integer Optimization
knapsack
Knapsack Capacity
Knapsack Problem
lagrangian
Lagrangian Dual
Lagrangian Relaxation
Language_English
LP Relaxation
LP Relaxation Solution
mathematical programming
operations research methods
optimal
optimization
PA=Available
Price_€100 and above
problem
PS=Active
relaxation
Reorder Interval
Row M0
Set Partitioning
softlaunch
solution
SP
Subtour Elimination Constraints
supply chain modeling
TSP Solution
Uncapacitated FLP
Valid Inequalities
VRP

Product details

  • ISBN 9781482239904
  • Weight: 460g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Sep 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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A reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems. It presents a set of classical optimization models with widespread application in operations planning. The discussion of each of these classical models begins with the motivation for studying the problem as well as examples of the problem’s application in operations planning contexts. The book explores special structural results and properties of optimal solutions that have led to effective algorithmic solution approaches for each problem class.

Each of the models and solution methods presented is the result of high-impact research that has been published in the scholarly literature, with appropriate references cited throughout the book. The author highlights the close relationships among the models, examining those situations in which a particular model results as a special case of other related models or how one model generalizes another. Understanding these relationships allows you to more easily characterize new models being developed through their relationships to classical models.

The models and methods presented in the book have widespread application in operations planning. It enables you to recognize the structural similarities between models and to recognize these structural elements within other contexts. It also gives you an understanding of various critical operations research techniques and classical operations planning models, without the need to consult numerous sources.

Joseph Geunes has been on the faculty of the Industrial and Systems Engineering Department at the University of Florida since 1998. His research focuses on applying operations research techniques to large-scale production and logistics planning problems. Professor Geunes serves as Co-Director of the Supply Chain And Logistics Engineering (SCALE) Research Center and as Director of the Outreach Engineering Management professional Master’s Degree program at the University of Florida. He has co-authored more than 30 peer-reviewed journal articles, which have appeared in journals such as Operations Research, Manufacturing & Service Operations Management, IIE Transactions, and Naval Research Logistics. He also serves as an Associate Editor for OMEGA, Computers & IE, and Decision Sciences, and is on the editorial boards of Production and Operations Management and the International Journal of Inventory Research. Professor Geunes received a Ph.D. (1999) and MBA (1993) from Penn State University, as well as a B.S. in Electrical Engineering (1990) from Drexel University.

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