Eco Lean Sigma

Eco Lean Sigma - Workshop & Certification (3 days)

The cost of the online training session is $1599.00 CDN (3-day session).

For any inquiries, please email leansixsigma [at] mcgill.ca or call 514-398-4066.

Please note there are no upcoming dates scheduled.  In the meantime, please complete the Expression of Interest form to receive more information about future Eco Lean Sigma dates.


Pre-requisites & Cancellation Policy

**After completing all requirements (perfect attendance and class participation) and passing a final exam, participants will obtain a  Eco Lean Sigma certification (3 day course). The certificate is issued by McGill University.

*Spaces are limited and course registration is processed on a first-come first-served basis.

Cancellation Policy

McGill University reserves the right to cancel any course for lack of sufficient attendees, in which case registration fees will be fully refunded. If applicants cancel less than two weeks prior to the start of the class, they will be charged $100.00. Applicants also have the right to send a replacement, if they are unable to attend the session.

Pre-requisites

Attendees must have at least two years of relevant full-time work experience (no internships).


A workshop for preoccupied professionals

Environmental Management

Reach business environmental management objectives

Planning

Integrate the environmental dimension in business & improvement planning

Waste Reduction

Establishing a bridge between variation reduction, the 8 wastes & environmental impact


Artificial Intelligence

Advantages of AI & Machine Learning in achieving the desired impact

Certificate

At the end of the 3 day workshop, the participants will receive an Eco Lean Sigma Practitioner certificate

Standards

Bridge gaps between ISO14000, ISO9000 & environmental laws


Overview

How does environment considerations fit with business objectives such as profitability, growth, cost reduction. The common approaches suggest handling environmental consideration as special projects. We often hear that ISO14000 (environmental management) requires an independent approach from other Quality Systems and standards. Artificial Intelligence and Machine Learning is sometimes presented as a silver bullet, without giving rational and perspective.

The proposed workshop will establish a clear relationship between environmental excellence goals, business goals, and improvement initiatives. This workshop aims at being resource and cost efficient, whilst integrating environmental improvement in the organization’s roadmap.

Practical tools and quantification techniques will be presented and experimented. Diagnosis tools and analytical techniques will be explored between the 8 wastes, variation, and key environmental preoccupations such as plastic waste, energy, transport, travel.

The bridge between ISO14000 and other standards such as ISO9000 will be explained. An overview of Canadian Environment Laws will also be presented.

The objective is to provide answers to these contemporary questions

  • How do I as a professional help my business reach its environmental management objectives?
  • How can I integrate the environmental dimension in business planning and improvement planning in a logical and compelling way?
  • How can I establish a bridge between reducing variation and the 8 wastes and environmental impact?
  • What advantages do AI and Machine Learning provide in achieving this impact?

At the end of the 3-day workshop, the participants will receive an Eco Lean Sigma Practitioner Certificate.


Agenda

Day 1

1. Setting the stage

  • Compelling and accurate numbers and trends for the World and focusing on Canada and the USA will be presented. Industry and society examples will be shared
  • Sharing on overall impact and additional elements

2. Overview of standards and laws

  • Canadian environmental laws
  • Carbon tax regulations
  • Opportunities and limitations
  • ISO 14000 and ISO 9000
  • Reflection – impact on businesses

3. Waste and environmental impacts

  • The link between the 8 wastes and variation will be made explicit through examples
  • Examples of quantification will be presented
  • Quantification and qualification planning will be done in small groups

4. Improvement planning

  • An approach in terms of integrating Environment in business planning and in the Lean Six Sigma RDMAIC methodology (Recognize Define Measure Analyze Improve Control) will be proposed
  • Presentation of the overall roadmap
  • Strategy deployment tool – Hoshin Kanri exercise

Day 2

1. Recognize

  • Assessment methodology: environmental and waste drivers
  • Environmental audit and high-level quantification checklist

2. Define

  • Environmental goals translation to business goals
  • Writing a project mission statement

3. Measure

  • Presentation of assessment tools and models
    • Energy
    • Office wastes
    • Industrial wastes
    • Travel and motion
    • Assessment exercises
    • ESM: Eco Stream Mapping tool: funnels through a value stream map with a time line for energy , transport, waste

Day 3

1. Analyze

  • Visualization of the opportunities
  • Prioritization

2. Improve

  • Strategies and examples per industry
  • Transport, motion
  • Paper
  • Energy
  • Etc
  • Circular economy and European examples
    • Reuse
    • Remanufacturing
    • Refurbish
    • Recycling

3. Control

  • Setting indicators and control points
  • Continuous reduction
  • Current and future roles of Artificial Intelligence and Machine Learning

4. Final case study

  • Putting in practice the 3 day learning
  • Diagnosis and action planning

Alex BoussettaAbout the training

For more information on Six Sigma Green Belt training at the Desautels Faculty of Management at McGill University, please contact: 
Tel.: 514-398-4066
leansixsigma [at] mcgill.ca

Instructor

Alex Boussetta, Eng. M. Eng., PMP, Agile SMC., EP
Certified Six Sigma Master Black Belt
Affiliate Member, Desautels Faculty of Management, McGill University
Executive Consultant, Operational Excellence, Abacus Team Inc.
 

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Coronavirus (COVID-19)

Updated: 2020/10/01

For the latest information on McGill University's response to COVID-19, please visit the Coronavirus Information website.

For Desautels specific updates please visit our COVID-19 FAQ page.

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