Date : 15 – 17 May 2017 (Mon, Tue, Wed).

Time : 8:30 a.m. – 5:00 p.m.

Venue : Vistana Hotel, Penang.

Subject to:

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HRDF CLAIMABLE* *SBL scheme, subject to HRDF Approval

WORKSHOP FEE GST included. (GST reg no: 0012 9141 9648).

Fee covers 2 tea breaks and lunches, printed workshop handout, and sample optimization models in Excel.

RM 1,800 per participant

RM 1,200 per graduate student

WHO SHOULD ATTEND? Managers and executives who are involved in what-if analyses and recommendations /

decision making of investment, pricing and revenue management, portfolio

management, risk analysis, strategic planning, facility site location, production

planning and scheduling, resource allocation, assets optimization, cost reduction, etc.

(wholly-owned by Universiti Sains Malaysia)

(Co. No. 473883-H) HRDF : 0159

Learn how to make the best choices in

optimizing performance measures (e.g.

minimize cost, maximize profit) within boundary

conditions (e.g. resources constraints) using

advanced analytical methods and mathematical

software called solvers.

Expected learning outcome:

Where Operations Research fits in the analytics

big picture and how it helps decision making

Linear Programming (LP) concepts and

modelling techniques

Algebraic expressions and spreadsheet

modelling techniques with Excel Solver

Formulate decision-making problems as LP

models and solve with solvers

Organised by

INTRODUCTION

Traditionally businesses will focus on

efficiency to differentiate themselves from

competitors. This includes waste reduction,

faster throughput time, and better customer

service. While efficiency is still important in

today’s environment, it is no longer sufficient

for differentiation.

Today’s buzzwords include Big Data and

Analytics. Actions include installing huge IT

infrastructure for data collection and storage,

acquiring skills in processing structured and

unstructured data and in advanced statistical

software like R, and implementing data

visualization. Provided that data is available

and usable, companies will have personnel

and tools for reporting and prediction.

However, the management still has to make

decisions based on gut feel. There is no

actionable recommendation provided by the

systems and reports, or what-if analyses to

quantify what will happen if different course of

actions are taken.

There are 3 types of analytics: descriptive

(what has happened), predictive (what will

happen), and prescriptive (what should

happen). This training is about prescriptive

analytics (top third in the diagram above).

Prescriptive analytics recommends one or

more courses of action and showing the likely

outcome of each decision so that the

business decision-maker can take this

information and act. It uses advanced

analytical methods from Operations Research

(OR) / Management Science (MS) / Decision

Science for quantitative decision making to

help make better decisions. No more gut feel

or crystal ball in decision making.

OR/MS is not new as it started during World

War II. Optimization problems need to be

formulated as mathematical programming and

solved to get the solutions/recommendations.

Today’s computing capability has enabled very

large and complex practical problems to be

solved very quickly. Even MS Excel can be

used. Unfortunately OR/MS applications are

not widespread in Malaysia compared to USA,

Europe, South Korea, Taiwan, and Singapore.

This training is very practitioner-centric. While

some basic theories are covered, the focus is

on learning the fundamentals of mathematical

optimization and how to apply it. Mathematical

modelling is difficult to learn and initially hard to

apply into real-world problems. With his

industry experience, the trainer will teach how

to apply mathematical optimization using real-

world examples and tools used by industry.

BENEFITS

Optimization could be beneficial to your

organization when:

i. The management faces complex decision

making

ii. The management is not sure what the main

problem is

iii. The management is uncertain about

potential outcomes

iv. The organization is having problems with

decision making processes

v. Management is troubled by risk

vi. The organization is not making the most of

its data

vii. The organization needs to beat stiff

competition.

WORKSHOP METHOD

It is conducted in a seminar room and consists

of 40% lectures, 40% exercises, and 20%

discussions. Participants will learn algebraic

expressions, developing legible Excel models,

Excel add-ins Solver and OpenSolver, and

IDEs (Integrated Development Environment),

LpSolve and IBM ILOG CPLEX Optimization

Studio Community Edition.

Disclaimer The Organizer reserves the right to reschedule or cancel any part of its published programme or venue due to unforeseen circumstances and will not accept liability for costs incurred by participants or their organizations for the cancellation of travel arrangements and/or accommodation reservations as a result of the course being cancelled or postponed. Advance notice will be given if there is such a change or cancellation.

ENQUIRY Technical: Dr Anwar Ali Mohamed (M) +6012 – 4750395 (E) anwar.ali.mohamed@gmail.com Registration and others: Khairol Anuar Mohammed USAINS Holding Sdn. Bhd. (DL) +604 – 653 5714 (M) +6012-286 9048 (E) khairol@usainsgroup.com /

khairol_usains@yahoo.com

WORKSHOP CONTENTS

DECISION OPTIMIZATION

DAY 1

Introduction to Analytics & Operations Research

Algebraic Expressions and Spreadsheet Modelling

Linear Programming (LP) and Solvers

Manpower Planning, Blending Problems

Multi-period Inventory Modelling

Exercises include:

Dorian Auto

Diet problem

Manpower planning

Blending

Sailco inventory

DAY 2

Multi-period Production Smoothing

Transportation, Assignment, Transhipment

Network Flow Models

Investment Problems

Goal Programming

Exercises include:

Production smoothing

Minimum cost flow models

Network models

Investment models

Multi-criteria decision-making

DAY 3

Integer Programming (0-1 and either-or)

Travelling Salesman Problem

Building scalable models with database interface

Review & solve problems brought by participants

Exercises include:

Knapsack, fixed-charge

Facility location, set-covering

TSP

Reading database into model

WORKSHOP CO-ORDINATOR DR ANWAR ALI has 27 years’

experience in semiconductor industry, 2 years at Texas Instruments followed by 25 years at Intel Technology Sdn Bhd. He was a Principal Engineer for his last 5 years at Intel. He practised Operations Research (discrete event simulation and mathematical optimization) for 13 years.

His areas of expertise include high fidelity equipment simulation modelling, factory capacity modelling and optimization, and the relevant enterprise data integration involved. Dr Anwar Ali completed his B.Eng. in Mechanical Engineering (Industrial Engineering major) from Universiti Teknologi Malaysia (UTM) in 1988, M.Sc. in Decision Science from Universiti Utara Malaysia (UUM) in 2005, and D.Eng in Engineering Business Management from UTM in 2014.

PARTICIPANTS ARE REQUIRED TO BRING LAPTOP FOR THIS WORKSHOP

DECISION OPTIMIZATION

Send registration form to : Khairol Anuar, Usains Holding Sdn. Bhd., Level 2, Block C, Sains@USM,

No. 10, Persiaran Bukit Jambul, 11900 Bayan Lepas, Penang.

Fax : +604 – 643 0490 ; Email : khairol@usainsgroup.com / khairol_usains@yahoo.com

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Contact Person: Tel: Fax:

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Cheque / Bank Draft / Money Order / LO / PO must be made payable to ‘USAINS HOLDING SDN. BHD.

1. Bank Transfer [Please fax your Bank-in Slip (Print your name & details on the slip)].

Payee Name : Usains Holding Sdn. Bhd. Details : DECISION OPTIMIZATION – MAY 2017. Name of Bank : AmBank (M) Berhad, Level 21, Menara Dion, Jalan Sultan Ismail, 50250 Kuala Lumpur, Malaysia. Account Number : 888 – 100 – 985 – 0380

2. A Local Order (LO) or Purchase Order (PO) must be presented before the event. The Organizer reserves the right to refrain a registered participant from taking part in the event if no proof of payment can be presented. This only applies to registered participants who have NOT paid the registration fee PRIOR to the event date.

3. Cancellation / Substitution A full refund less administration cost of 15% from paid fee will be given for cancellation received not later than 10 working days before the event. No refund will be made after this period. However, substitute participants are welcomed at no extra charge provided written notice of at least 5 working days before the event is given to the Organizer.

REGISTRATION FORM

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