JavaScript seems to be disabled in your browser.
You must have JavaScript enabled in your browser to utilize the functionality of this website.

Home
Unlocking the Power of Linear Programming for Data-Driven Decisions

Unlocking the Power of Linear Programming for Data-Driven Decisions

25 Review(s) | Add Your Review

The Linear Programming Optimisation course presents a robust approach to understanding and solving complex business or personal problems. Attendees will be equipped with the skills to meticulously analyze problem situations and structure them for effective solution derivation. Leveraging the capabilities of the Linear Programming model, the course illuminates the nuances of representing multifaceted problems in a systematic manner.

With a focus on hands-on applications, participants will be guided on how to adeptly solve these models using the renowned Excel Solver tool. But the learning journey doesn't end with problem-solving. Emphasis is placed on interpreting and analysing the comprehensive Excel Solver Reports to draw meaningful insights. By the culmination of this course, attendees will be primed to make informed recommendations and decisions based on these Excel Reports, ensuring optimal outcomes for diverse problem scenarios.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M1069

Fee

MYR2,000.00

Mode of Training *

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Disclaimer:

The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

We may provide consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Topic 1: Optimisation and Linear Programming Models for Resource Management

Resource management optimisation and Linear Programming (LP) models
Use Excel Solver to solve LP Models
Formulate and solve LP Models to optimize resource usage

Topic 2: Decision Analysis (DA) for Resource Usage

Overview of Decision Analysis
Decision Analysis with Expected Value approach
Risk analysis with Expected Utility approach

Topic 3: Multi Criteria Decision Analysis

Model multi criteria problems
Scoring board method
Develop KPI using Analytic Hierarchy Process (AHP)

Course Info

Nil

Job Roles

Operations Manager
Project Manager
Supply Chain Manager
Resource Planner
Production Manager
Human Resources Manager
Facilities Manager
Logistics Coordinator
Procurement Specialist
Inventory Control Specialist
Workforce Planning Analyst
Capacity Planner
Lean Operations Specialist
Enterprise Resource Planning (ERP) Consultant
Business Process Improvement Specialist.

Trainers

Dr. Ummul Fahri Abdul Rauf: Dr. Ummul Fahri Abdul Rauf has Ph.D. in Applied Statistics from RMIT University, Australia. Her research interests are applied statistics, multivariate analysis, statistical modeling, statistical inference and programming using R Software. As per her affiliation with National Defence University of Malaysia (NDUM) for 12 years, she is also experienced as principal investigator and has worked on a few research grants for parametric and non-parametric analysis, univariate and multivariate analysis using copulas in various areas in engineering, social science, and psychology. She has a strong fundamental knowledge of research methodology, extensive experience with Excel, SPSS, R and MINITAB in writing and presenting reports. At present, she is conducting a special training program in statistical programming including advanced multivariate data analysis using Copulas. Besides teaching and research, her additional duties involve assisting the Director of Quality Assurance and Data Management Centre at NDUM to coordinate and monitor implementation of Quality Management System (QMS) and conduct internal and external audits, to coordinate collection and verification of data for continual enhancement and liaise with relevant external agencies on academic quality compliance issues e.g. Ministry of Higher Education, Malaysian Qualification Agency. Dr. Ummul Fahri currently is the deputy director for Quality Assurance and Data Management Centre and has been holding the post for 4 years.

Mostafa: Mostafa has more than 5 years’ experience in teaching mathematics and statistics. His main teaching interests are statistical topics such as descriptive analysis and basic data modeling, regression analysis, design of experiment, non-parametric methods, and statistical software such as SAS, R, SPSS, and Minitab. He has started computer programming using visual basics and C++ around 15 years ago, and he has more than 10 years’ experience in programming using R.