SkillsFuture Series for

Supply Chain Sectors

28 MAR 2018

Overview

RP was assigned to lead the

Supply Chain Sector Coordination Team in 2015

OverviewRP’s Lead in the Supply Chain Sector

• Centre of Innovation (COI-SCM) for Supply Chain

in Singapore

• SkillsFuture Earn and Learn Programme (ELP)

Specialist Diploma in Supply Chain Management

2• Diploma in Industrial & Operations Management

• Diploma in Supply Chain Management

PET Diplomas

Overview:ELP in Supply Chain Management

• Trained more than 86 diploma graduates

• Benefited more than 70 companies

• Existing trainees = 56

RP leads Tech-Enabled Services with subareas in Supply Chain Management

SkillsFuture Series (SFS)

RP offers SF Series for the Supply Chain Sectors in 3 key areas:

Innovation & Technology

Process Optimisation

Operations & Management

RP’s SF Series provide skills training to prepare the industry for technology adoption

7

IoTAdvanced

Data Analytics

BlockchainDriverless Vehicles

Aerial & Ground Based Drones

Robotics &

Automation

Innovation &

Technology

Process

Optimisation

Operations &

Management

Advanced

Intermediate

Basic

5 Emerging Areas for Supply Chain Sector

8

Robotic

Inventory and

Warehouse Management

Demand ForecastingRPA

LEAN

SF Series for Supply Chain Sector:

Basic

Intermediate

Advanced

Innovation &Technology Robotic

Process Optimisation LEAN

RPA

4. Go Lean TransformationLEAN thinking & methodology

Hands-on RP-Mckinsey lab learning

Facilitated OJT

Project management

Mentoring

6. Advanced Demand Forecasting Techniques7. SCOR Modelling of Supply Chains

1. Collaborative Robots and Mobile Robots for Industrial Application

5. Lean and Smart Manufacturing and Logistics (2-day)

8. Warehousing Technologies and Management

2. Experience how RoboticProcess Automation (RPA) makes your work easier3. Industry 4.0 in Action

9. Basic Demand ForecastingTechniques10. Inventory Replenishment and Ordering Decision

Operations & Management Demand Forecasting

Inventory and Warehouse

Management

Skills Training in Key Technology Trends Impacting Logistics

Robotics &

Automation

Aerial &Ground

Based DronesDriverless

VehiclesBlockchain

Advanced

Data

Analytics

IoT

• Specialist Diploma

in IoT

• Exploring Internet

of Things with

Raspberry Pi

• Exploring Internet

of Things with

Arduino

• Augmented Reality

• Industry 4.0 in

Action

• Experience how Robotic

Process Automation

(RPA) makes your work

easier

• Basic UAV Videography

• Specialist Diploma in

Business Analytics

• Service Analytics

• First Steps in

Business Intelligence

• Fundamentals of Data

Analytics

• Introduction to

Autonomous Robots

Integration and

Programming

• Introduction to

Blockchain

Course Fee and Subsidies

Full Course

Fee (Others)

Workfare

Training

Scheme(WTS)

Singapore

Citizens aged

40 & above

SME-employed

Singapore

Citizens

Singapore

Citizens aged

below 40 OR

Singapore PR

$545.70 $36.21 $54.57 $61.71 $163.71

An example of one-day course fee:

Thank you

Collaborative Robots and Mobile Robots for Industry 4.0

Objectives:

The 3-day course will look at key elements of advanced robotic technology such as Collaborative Robots

("Cobots") and Mobile Robots and how these robots are deployed in a shared workspace with human. Learners

will assume the role of robotic engineers and put their knowledge into practice through various lab experiments.

Topics Covered:

• Collaborative Robot coordinate systems

• Tool setup (Tool Centre Point, Payload, etc.)

• Safety Features of Collaborative Robot

• GPIO Interface and Robot Motions

• Safety Setting (Safety Wall, etc.)

• Robot networking and programming

• Mobile Robot (Based on Adept Lync)

• Map Creation and Robot Navigation

• Robot Configuration and Path Planning

• Robot integration with external controller

• Robot communication with external devices.

Targeted Job Role:

- Technician, associate engineer and engineer

Expected Outcome:

- Adopting collaborative and mobile robotic system and deployment in shared human-robot

workspace

Experience how Robotic Process Automation

(RPA) makes your work easier

1. Mimic human actions on a PC to perform repetitive administrative tasks

2. Automated repetitive administrative tasks to eliminate human error and

increase productivity

3. Applicable across different software

Targeted Job Role:

- Assistant/Associate Engineer Assistant/Associate Engineer, HR, Finance, Admin

Expected Outcome:

- Basic application knowledge of RPA

Industry 4.0 In Action

Time Topic Day1

AM Introduction

Smart Devices In Our Daily Life

Join in the Challenge

Check our Assumptions

Learning Journey to RP Industry

Centre

Collaborating with Robots

PM Utilize IoT and Data

Create products in Makerspace

Summary of Learning

Time Topic Day 2

AM Introduction to Lean Concepts

Kaizen Exercise

Concepts Reinforcement Activity

PM Future of Jobs

Lifelong Learning

Change Agent Presentation*

Reflection and Closure

Targeted Job Role:

- Operators / Technicians / Engineers / Managers / Senior Management

Expected Outcome:

- To develop confidence in managing and using IoT, working with Robotics, using

Analytics and Machine Learning.

goLEAN Transformation

16

This 7-day programme is targeted at Small Medium Enterprises, seeking an innovative and effective approach to achieve productivity growth.

The proposed offering is aimed at multi sectors, especially Logistic sector.

• Lean thinking and methodology

• Applied learning at RP-Mckinsey Joint Productivity Lab®

• Facilitated project-based On-Job Training at company premises

• Project consultancy and Mentoring

Lab-based Facilitated Learning 24 hrs

Project (OJT) 30 hrs

Assessment (Project-based) 2 hrs

Total Duration: 56 hrs (7 days)

Expected Outcome:

- participants will be able to apply the lean principles, and various techniques to reduce errors, improve

operations productivity, reduction of inventory and shop floor space back in their work environment.

Targeted Job Role:

- Warehouse Operations Manager/ Inventory Management Manager/ Capacity Management Manager

Lean and Smart Manufacturing

and Logistics

This 2-day course will allow management staff to learn through experiencing lean

principles and smart technology in a real-life production environment. Participants will

experience “Learning to see” and hands-on session. This will allow them to apply concepts

of lean tools back in their work environment. Manufacturing and logistics technologies

such as smart bin systems, augmented reality and autonomous robots in material handling

will be explored. Upon completion of this course, participants will be able reduce errors

and improve operations productivity.

Topics Covered:

• Learning to see

• Value Stream Mapping (Current / Future)

• Just in Time (Yamazumi)

• Problem solving

• Smart Devices in our Life

• Collaborating with Robots

• Utilizing IoT and Data

• Create products in Makerspace

Targeted Job Role:

- Warehouse Operations Manager/ Inventory Management Manager/ Capacity Management Manager

Expected Outcome:

- Upon completion of this course, participants will be able to apply the lean principles, and various

technologies to reduce errors and improve operations productivity.

Demand Forecasting Techniques

BasicThis course will introduce forecasting and simple time series analysis techniques. Participants will

learn how to apply moving average, exponential smoothing and simple linear regression methods to

derive forecasts based on historical data. Concepts of forecasting error will also be explored to

evaluate different forecasting methods.

Targeted Job Role:

- Procurement Managers, Operations managers, Planners

Expected Outcome:

- Participants will learn how to apply Moving Average, Exponential Smoothing and simple Linear

Regression

AdvancedThis course will introduce forecasting methods for time series data with trend and/or seasonality.

Participants will be introduced on how to apply Holt’s method to derive forecast for time series data

with trend component. They will also learn how to perform forecasting on time series data with trend

and seasonality using the multiplicative decomposition method.

Targeted Job Role:

- Warehouse Operations Manager/ Inventory Management Manager/ Capacity Management Manager

Expected Outcome:

- Participants will learn how to perform forecasting on time series data with trend and seasonality

using the Multiplicative Decomposition method.

SCOR Modelling of Supply Chains

This course introduces the Supply Chain Operations Reference (SCOR) model with its

three components: process modelling, performance metrics and best practices.

Participants will be exposed to the SCOR process mapping for a particular scenario, as

well as selection and application of SCOR metrics and best practices.

Targeted Job Role:

- Operations Manager/ Inventory Management Manager/ Capacity Management Manager

Expected Outcome:

- Participants will be exposed to the SCOR process mapping for a particular scenario, as well as

selection and application of SCOR metrics and best practices.

Warehousing Technologies and

Management In this course, participants will identify and explore the different types of

storage systems used in the warehouse environment for items in various

sizes through interactive discussions.

The participants will be exposed to the latest technologies used in contract

logistics and warehouse operations via hands-on activities. Participants will

also be introduced to the various costing components in the contract logistics

& warehousing business.

Targeted Job Role:

- Warehouse Operations Manager/ Inventory Management Manager/ Capacity Management Manager

Expected Outcome:

- The participants will be exposed to the latest technologies used in contract logistics and warehouse

operations via hands-on activities.

Inventory Replenishment and

Ordering Decision

Participants will be introduced to various topics on basics of inventory

management, inventory review systems, Economic Order Quantity model and its

various modified forms.

Targeted Job Role:

- Procurement Managers, Operations managers, Planners

Expected Outcome:

- Participants will be introduced to various topics on basics of inventory management, inventory

review systems, Economic Order Quantity model and its various modified forms.