MANUFACTURING TECHNOLOGY SUMMIT

About Manufacturing Technology Summit

Over the past two decades, automation in manufacturing has been transforming factory floors, the nature of manufacturing employment, and the economics of many manufacturing sectors. The rapid advances in robotics, artificial intelligence, and machine learning have enabled machines to match or outperform humans in a range of work activities.

Stronger demand for customization, increasing customer expectations, complexity of the global supply chain and numerous other challenges encourage manufacturers to find new, more innovative ways to remain competitive. Internet of Things has revolutionized the manufacturing processes and helped reduce costs, improve productivity and enhance customer satisfaction.

The Manufacturing Technology Summit offers a chance to dig deep into the latest advancements and how these can help you achieve and exceed your production goals.

Prof. Len Gelman
TRAINER AND CONSULTANT
Nils Helander
SVP MANUFACTURING, PANDORA
Vivek Subramaniam
HEAD - DIGITAL PRODUCT & DELIVERY, NISSAN MOTORS
I'm a passionate, business-minded technologist, focused on enabling global organizations to deliver quick value to business
Shady El Safty
DIRECTOR OF MANUFACTURING, GENERAL MOTORS
Shady is a visionary leader with enthusiastic, customer centric and result-oriented approach to success. He is internationally recognized "Influential Voice of Quality" as an author, keynote speaker, and blogger.

Over the past two decades, automation in manufacturing has been transforming factory floors, the nature of manufacturing employment, and the economics of many manufacturing sectors. The rapid advances in robotics, artificial intelligence, and machine learning have enabled machines to match or outperform humans in a range of work activities. The session would dig deep into the latest advancements and how these can help you achieve and exceed your production goals.

Stronger demand for customization, increasing customer expectations, complexity of the global supply chain and numerous other challenges encourage manufacturers to find new, more innovative ways to remain competitive. Internet of Things has revolutionized the manufacturing processes and helped reduce costs, improve productivity and enhance customer satisfaction. However, the real value of IoT would be if it can be implemented by small and medium industries as well. The session explores the pros and cons of implementing IoT in smaller enterprises.

New technologies like mobile communications, internet of things, robotics and advancement in information technology have led to the advent of the fourth industrial revolution. As per recently published reports, businesses with better digital maturity levels are upto 60 percent more likely to enjoy high sales growth. The presentation will focus on how manufacturers can take advantage of latest technologies and transform their businesses. Would you want to stay ahead of the curve or risk being left behind?

Lean Six Sigma is a buzzword in manufacturing industry and a world recognized process improvement methodology designed to reduce cost while improving quality of products and services. The amount of available data, is rapidly increasing, which is an opportunity to the lean six-sigma methodology. Traditionally, six sigma analytics was done by using some specific software designed for six -sigma and today most of the professionals tend to use data science tools to improve both the accuracy of the resulting data models and the capability of analytics. Creating and managing new knowledge has become a central concern to business both as a source of value and an opportunity to achieve sustained competitive advantage. Hence, this session explores the benefits of the marriage of lean six-sigma methodology with data science tools.

With technology overtaking most steps of the manufacturing process, it has created significant gaps in the knowhow of the existing workforce. Besides, generation z thinks and learns in a different way than what has been taught during traditional training sessions. The need of the hour is to adapt newer ways of skills enhancement like gamification and 3D simulation in order to bridge the skills gap and disrupt the workplace. Are you ready for the next gen?

Global spending on IIoT platforms for manufacturing is predicted to grow from $1.67B in 2018 to $12.44B in 2024. Internet of Things, which started with the tracking of inventory in real time, has now turned into Industrial Internet of Things, encompassing the entire manufacturing operations process. However, what sounds like a complicated and daunting process does not necessarily have to be complex. In this session, learn how to deploy a successful IIOT strategy for your manufacturing, that derives better efficiencies and measurable returns for the business.

Asia is home to some of the world’s biggest manufacturing powers like India and China. Moreover, the manufacturing industry in Bangladesh is flourishing rapidly, which has further increased the competition. With low labour costs driving production in some of its neighbouring countries, the way ahead for the Sri Lankan manufacturing industry is to become automated in order to compete with its neighbours. The session explores a step-by-step approach on how Sri Lanka can work its way towards becoming a regional manufacturing power house.

With new technology coming out and so many companies turning toward additive manufacturing in recent years, more and more advantages are being revealed on a regular basis. However, while organizations have deployed it in some high-profile use cases, widespread adoption is still not prevalent. The presentation builds a case for the use of additive manufacturing, why manufacturers should start adoption, and how early adopters can reap tremendous benefits like reduction in waste production, saving energy costs, and achieving better quality.

In today’s interconnected world, where word about a brand or product spreads fast, delivering quality products to your users is absolutely vital. Even a minor flaw can have catastrophic consequences and dampen the hard-earned reputation of a company. Although maintaining quality is not easy, but autonomous quality control technologies like big data and machine learning can help you achieve this seemingly imposing task. Learn how, in this session, with the help of real world examples.

With customers becoming more and more demanding about what they want and how they want it, customization in manufacturing has become vital for the success of a business. However, digitizing your processes in order to satiate the demand might result in increased costs in the short run. But, is the investment in customization worth it? The panel discussion tries to answer this vital question.

The COVID 19 pandemic has made something very clear and evident for all of us, which is that permanent changes are coming! However, expecting changes and getting ready to deal with those changes are two completely different things. Leaders in the manufacturing industry are already making the vital changes that would help them to emerge stronger after the pandemic, and so should you! In this keynote session, our expert will share some important changes that manufacturers must make to deal with the new normal.

While IIoT has witnessed tremendous enthusiasm around it, the high roll-out cost has been a limiting factor, which has prevented it from becoming mainstream. However, with the arrival of 5G resulting in better battery life, enhanced capacity and bandwidth, it promises to act as an enabler for IIoT. In this panel, we discuss how IIoT can act as the boost that your business needs.

Industry 4.0 is as much about the humans in your business as it is about the machines. One of the most common mistakes that business owners do is not understanding how to connect the people to their plan. The presentation will discuss the importance of the human element when adopting industry 4.0 and how to avoid the most common mistakes during the process.

With the advent of IIoT, a critical challenge that manufacturers have to deal with is to achieve predictive maintenance. While the advantage of predictive maintenance cannot be undermined, most manufacturers seem to be struggling with achieving predictive maintenance. When predictive maintenance is working effectively, maintenance is only performed on machines when it is required, or just before failure is likely to occur, which brings several cost savings. In this session, we take a look at how to achieve predictive maintenance effectively and thus successfully implement industry 4.0

The first step is often the hardest. Robotics has quickly become the heart of lean manufacturing and this presentation shall explore how to get started with implementing robotics or automation within your manufacturing processes. We shall explore robotics based automation, calculating RoI of your automation implementation, and common mistakes made during robotics implementation. The session would take a discussion based approach to answer some of your most pressing challenges.

With competition increasing at a swift pace, manufacturers are turning towards technology to improve yields and augment run times. One of the main benefits of robotic machine tending is the drastically improved uptime when compared to manual loading and unloading. This gain in uptime leads to major productivity gains by boosting throughput. The session will cite real life examples of how robotic machine tending has transformed the manufacturing industry.

In this 1.5-day practical workshop, our maintenance expert Prof Len Gelman would teach you how to radically improve plant performance and essentially reduce maintenance costs via advanced maintenance planning and scheduling.

 

This highly interactive training course will benefit anyone responsible for maintenance, who wishes to build competency in maintenance planning and scheduling to improve plant performance. This includes plant directors, senior plant managers, maintenance supervisors/coordinators, operation managers and supervisors and materials and storeroom managers who are involved in plant maintenance and reliability and equipment availability.

 

Maintenance planning and scheduling using structured and systematic approaches are critical for every successful plant. Maintenance planning and scheduling are the fastest and most effective investments that an organization can make to improve plant productivity and equipment availability. This course is designed to build competency in maintenance planning and scheduling. The techniques that participants will learn in this course will allow for effective planning and scheduling of maintenance resources. The course covers all the fundamentals and advanced methods and applications that a suitably qualified professional would use in carrying out fully functional plant maintenance. In summary, the course provides a step-by-step practical guide to best practices of maintenance planning and scheduling that will essentially reduce maintenance costs and deliver maximum business benefits.

 

This training course is based on 35 years of real-life industrial experience of the trainer in maintenance planning and scheduling.

The second day of the workshop continues as Prof Len takes you further into the nitty gritty of maintenance planning and scheduling.

The course will be presented in an interactive format with ample details from the trainer. The trainer will use comprehensive Power Point slides, hand-outs and industrial case study material, including videos and practical Group exercises.

The Main Course Objectives Include:

  • Systematic and structured analysis of the main maintenance best practice planning principles
  • Systematic and structured analysis of the main maintenance scheduling principles and best practices
  • Optimal planning of preventive and predictive maintenance
  • Failure mode and effect analysis (FMEA) and failure mode, effect and criticality analysis (FMECA) for maintenance planning
  • Effective use of field-proven condition monitoring technologies (i.e. vibration, acoustic emission, infrared thermography and wear debris) for maintenance work orders
  • Integration of reliability centered maintenance with maintenance planning and scheduling
  • Maintenance planning for shutdowns
  • Management of maintenance backlog
  • Demonstration of Computerized Maintenance Management Systems (CMMS) and radically novel Enterprise Resource Planning Software

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Event Details
  • Days
    Hours
    Min
    Sec
  • Start Date
    April 4, 2022 7:30 AM
  • End Date
    April 6, 2022 5:00 PM
  • Status
    Upcoming
  • Category
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