Operations Research and Optimization with LINDO Training Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

October 2025

Date Duration Location Standard Fee Action
20 Oct - 31 Oct 10 days Half-day KES 110,000 | $ 1,190 Individual Group

November 2025

Date Duration Location Standard Fee Action
17 Nov - 28 Nov 10 days Half-day KES 110,000 | $ 1,190 Individual Group

December 2025

Date Duration Location Standard Fee Action
8 Dec - 19 Dec 10 days Half-day KES 110,000 | $ 1,190 Individual Group

Course Overview:

This 10-day training course focuses on operations research and optimization techniques using LINDO software. Participants will gain an in-depth understanding of optimization principles and how to apply them to real-world problems. The course combines theoretical knowledge with practical application through hands-on exercises and field visits, enabling participants to effectively utilize LINDO for solving complex optimization problems in various industries.

Course Duration:

10 Days

Target Audience:

  • Operations Researchers
  • Data Analysts
  • Business Analysts
  • Supply Chain Managers
  • Logistics Coordinators
  • Decision Support System Analysts

Organizational Impact:

  • Enhanced capability to tackle complex optimization problems within the organization.
  • Improved decision-making processes through the application of advanced optimization techniques.
  • Streamlined operations and increased efficiency in resource allocation and logistics.
  • Better strategic planning and problem-solving capabilities.

Personal Impact:

  • Acquisition of advanced skills in operations research and optimization using LINDO.
  • Enhanced career prospects in fields involving optimization and data analysis.
  • Practical experience in solving real-world problems and applying optimization techniques.
  • Improved analytical and problem-solving skills.

Course Level:

Course Objectives:

  1. To understand the principles of operations research and optimization.
  2. To effectively use LINDO software for solving optimization problems.
  3. To apply optimization techniques to real-world scenarios in various industries.
  4. To develop skills in formulating and solving complex mathematical models.
  5. To gain practical experience through field visits and hands-on exercises.

Course Outline:

Module 1: Introduction to Operations Research and Optimization

  • Overview of operations research and its importance
  • Introduction to optimization techniques and their applications
  • Basics of LINDO software and its functionalities
  • Hands-on Exercise: Navigating LINDO and performing basic optimization tasks
  • Case Study: Solving a simple optimization problem using LINDO

Module 2: Linear Programming Fundamentals

  • Principles of linear programming and problem formulation
  • Introduction to LINDO’s linear programming features
  • Solving linear programming problems using LINDO
  • Hands-on Exercise: Formulating and solving linear programming models
  • Real-Life Project: Linear programming for optimizing resource allocation in manufacturing

Module 3: Integer Programming and Mixed-Integer Programming

  • Concepts of integer and mixed-integer programming
  • Using LINDO for solving integer and mixed-integer programming problems
  • Applications and challenges in integer programming
  • Hands-on Exercise: Solving integer and mixed-integer programming models in LINDO
  • Case Study: Inventory management optimization using integer programming

Module 4: Nonlinear Programming Techniques

  • Introduction to nonlinear programming and problem types
  • Utilizing LINDO for nonlinear optimization
  • Techniques for solving nonlinear programming problems
  • Hands-on Exercise: Solving nonlinear optimization problems with LINDO
  • Real-Life Project: Nonlinear programming for optimizing production processes

Module 5: Dynamic Programming and Sequential Decision Making

  • Principles of dynamic programming and its applications
  • Using LINDO for dynamic programming problems
  • Techniques for sequential decision making
  • Hands-on Exercise: Implementing dynamic programming models in LINDO
  • Case Study: Optimal scheduling and resource allocation using dynamic programming

Module 6: Stochastic Optimization and Simulation

  • Introduction to stochastic optimization and simulation techniques
  • Using LINDO for stochastic and simulation-based optimization
  • Applications in uncertain and dynamic environments
  • Hands-on Exercise: Implementing stochastic optimization models in LINDO
  • Real-Life Project: Simulation and optimization for supply chain management under uncertainty

Module 7: Network Optimization and Graph Theory

  • Concepts of network optimization and graph theory
  • Applying LINDO to network optimization problems
  • Techniques for solving graph-based optimization problems
  • Hands-on Exercise: Network optimization using LINDO
  • Case Study: Optimization of transportation and logistics networks

Module 8: Multi-Criteria Decision Analysis (MCDA)

  • Principles of multi-criteria decision analysis and its importance
  • Using LINDO for MCDA problems
  • Techniques for evaluating and optimizing multiple criteria
  • Hands-on Exercise: Implementing MCDA models in LINDO
  • Real-Life Project: Multi-criteria decision making for project selection

Module 9: Field Visit and Practical Insights

  • Field visit to operations research labs and optimization centers
  • Observation of real-world applications and practices
  • Interaction with industry professionals and experts
  • Field Visit Report: Documentation and analysis of field visit observations

Module 10: Capstone Project and Course Review

  • Comprehensive project integrating all course concepts and skills
  • Participants present their projects and receive feedback from instructors
  • Review of key concepts, best practices, and future learning paths
  • Final Project Presentation: Showcase of a complete optimization solution using LINDO

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Course Administration Details:

METHODOLOGY

The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

TAILOR-MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:

PAYMENT

Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]


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