Lean Six-Sigma in Logistics II
- 12 May 2017 – 12 May 2017, Intake: 13
- 07 Jul 2017 – 07 Jul 2017, Intake: 14
- 14 Nov 2017 – 14 Nov 2017, Intake: 15
With a good understanding of the Lean and Six-Sigma methodologies, the next step is to adopt and apply them to reduce operating costs and enhance delivery reliability in the Supply Chain and Logistics operations.
This module covers the steps of applying one of the key Six-Sigma process – DMAIC process – to improve and reduce variation on operating processes, leading to lower operating costs and enhancing delivery reliability. Supporting tools will also be demonstrated and practiced, and a written assignment will be given to draft up project proposal for a defined case.
Participants also enrol for Lean Six-Sigma in Logistics III.
Participants who have completed Lean Six-Sigma in Logistics I.
|SLA Member Company
(View member listing)
(payable to TLA)
|PIC Grant||Eligible Companies to claim directly from IRAS||N.A.|
Payment will only be required after the course is confirmed.
(The status of the course would usually be advised one (1) month before the course start date.)
Payment mode (retail payments facilities are not available) :
Overseas – Telegraphic transfer
Local – Cheque or bank transfer
1 day : 9 am to 6 pm
Daniel Chew, Master of Industrial-Organisational Psychology, Master in Education with UWA, MBA in HR Management from USQ, Master of Science in Industrial & Systems Engineering from NUS, Bachelor (1st Class Honours) in Engineering from Monash University, Cambridge International Diploma in Teaching & Training from CIE, Advanced Certification in Training and Assessment (ACTA) from WDA, GradDip TESOL from UK, Certified DiSC Personality Profiler, Certified Quality Management System Auditor.
A Certificate of Achievement will be awarded upon successful completion of Project Assignment and attainment of 75% attendance.
- Applying DMAIC Methodology
- Steps in Define-Measure-Analyse-Improve-Control process
- Forming Project Team, Team Charter and Project Selection
- Process Mapping and Performance Measurements
- Quality Management Tools and Control Tools
- Case Study and Project Assignment