This workshop provides a comprehensive exploration of optimization techniques and their wide-ranging applications across various fields, including Engineering, Economics, Business, and more.
It covers the fundamentals of optimization, encompassing unconstrained optimization,
linear programming, integer programming, nonlinear programming, and sensitivity analysis. Practical experience is a key component as learners gain hands-on skills using the General Algebraic Modeling System (GAMS) to model and solve optimization problems, enabling them to interpret results effectively.
For learners navigating complex design problems, this course offers a deep understanding of both theory and practical application in the realm of engineering optimization. Topics include formulating optimization problems, interpreting results, conducting sensitivity analysis, exploring cost functions, evaluating figures of merit, comparing optimization techniques, and recognizing multi-objective optimization challenges.
Linear & Non-Linear Programming
Module 1: Introduction to Optimization
Module 2: Unconstrained Optimization
Module 3: Linear Programming (LP)
Module 4: Integer Programming (IP)
Module 5: Nonlinear Programming (NLP)
Module 6: Sensitivity Analysis
GAMS Practice
Module 1: Introduction to GAMS
Module 2: Problem Formulation and Mathematical Modeling
Module 3: Interpretation and Practical Application with GAMS Practice (Examples)
Module 4: Sensitivity Analysis in GAMS
Vaibhav Kumar is an experienced Research Associate at the US Department of Agriculture for Forest Products Laboratory, Statistics, Life Cycle Analysis, and Economics Research
A basic knowledge of calculus and linear algebra is recommended.
Both undergraduate and graduate students studying fields such as operations research, industrial engineering, mathematics, or computer science can benefit from learning about linear programming and sensitivity analysis using GAMS.
Government agencies often deal with resource allocation and optimization problems. Employees from these sectors can apply the knowledge gained in your workshop to improve public service delivery.
Faculty members, researchers, and postgraduate students from universities and research institutions who want to improve their understanding of optimization techniques can be valuable participants.
Professionals in Operations Research and Management
Practitioners working in operations research, management science, and related fields can enhance their skills and knowledge through the workshop.
Business Analysts and Consultants
Individuals working in the consulting industry or within organizations looking to improve decision-making processes and resource allocation can benefit from learning about linear programming and sensitivity analysis.
Questions and Other Inquiries
Contact us at info@ms-researchhub.com
Chat with us during our working hours Monday-Friday 9 AM-4 PM,
WhatsApp/Tel. +49 017686387586
Live online Training
Offline Udemy Course
M&S Research Hub / Copyright © 2018-2025
Tax ID (Germany): 026 825 34113 - EU/ID: DE324037141
+49 017686387586
Chat
Mo-Fri: 9 AM-4 PM