Applied Operational Research with SAS - Practical OR Procedures
Applied Operational Research with SAS - Practical OR Procedures
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In this review of Applied Operational Research with SAS the reviewer finds a practical, example-driven reference for professionals and graduate students who need to apply operational research techniques using SAS. The single biggest reason to buy is its hands-on approach: the book pairs algorithmic explanations with worked SAS procedures so readers can follow from model concept to coded solution. For those seeking a direct bridge between OR theory and the SAS toolset, this text delivers clear, application-focused guidance rather than abstract mathematics.
Key Features
- Extensive OR examples: The book presents a wide range of operational research optimization examples so readers can see methods applied to real problems.
- SAS procedure coverage: It demonstrates how established SAS procedures are used to implement linear, integer and goal programming models for practical decision making.
- Stepwise presentation: Chapters begin with algorithms and then show how to translate those algorithms into SAS procedures, improving reproducibility.
- Problem-focused chapters: Each chapter frames an OR problem, provides an example and discusses the procedure-based solution to aid learning by doing.
- Multiple application areas: The text applies OR methods to diverse problems such as project management, printed circuit board assembly, and multiple criteria decision making to broaden practical relevance.
Who It's For
This book is best for applied operational researchers, industrial engineers, and advanced students who already have some familiarity with optimization concepts and want to learn how to implement models using SAS. Practitioners working on production, operations or project scheduling problems will find the examples directly relevant to their work.
Readers seeking a pure theoretical treatment of algorithms or a beginner's introduction to programming in SAS should look elsewhere; the text assumes an interest in translating OR models into SAS procedures rather than teaching basic coding syntax from scratch.
Pros & Cons
Pros
- Practical, example-led approach that connects OR concepts to runnable SAS procedures.
- Covers a broad range of OR topics including linear, integer and goal programming for diverse applications.
- Chapter structure that moves from concept to example to procedural discussion supports applied learning.
Cons
- Not a beginner's SAS manual; readers with no prior exposure to SAS may need supplementary coding resources.
Specifications
| Title | Applied Operational Research with SAS |
| Author | Ali Emrouznejad |
| Primary focus | Operational research optimization with SAS procedures |
| Models covered | Linear programming, integer programming, goal programming |
| Application examples | Project management, printed circuit board assembly, multiple criteria decision making |
| Approach | Algorithm explanation followed by SAS procedure implementation |
Our Verdict
Applied Operational Research with SAS is a strong, practical resource for professionals and advanced students who want to implement optimization models in SAS. Its value lies in the worked examples and clear mapping from OR algorithm to SAS procedure, making it a worthwhile purchase for those focused on applied solutions in production, operations and project decision problems.
Frequently Asked Questions
Does the book teach basic SAS programming?
The book focuses on applying SAS procedures to OR problems rather than teaching introductory SAS coding, so beginners may need supplementary programming instruction.
What types of OR models are included?
Chapters cover linear programming, integer linear programming and goal programming with examples showing how to solve each using SAS procedures.
Are real-world examples provided?
Yes, the text includes applied examples such as project management, printed circuit board assembly and multiple criteria decision problems to illustrate methods.
Editor's Take
Applied Operational Research with SAS is a practical, example-driven guide that maps OR algorithms to SAS procedures, making it ideal for practitioners and advanced students who need to implement optimization models in applied settings.

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