Research through Apple by Gabriel Yankulin (DCMME student)

https://www.nytimes.com/2019/11/14/technology/apple-harvard-health-studies.html 

 

Paired with Apple, Harvard Medical Researchers are conducting large scale research through users with i Phones. As part of Harvard Medical Researcher’s big push for leading the world in research, technology has become overwhelmingly versatile in their endeavor to provide large scale populations for the most accurate results. Users must travel to medical centers to be briefed by researchers and fill out paperwork, however once the mundane part of the induction has been completed, users find themselves able to volunteer for studies that peak their interest.  

Another use for Apple’s new medical research app is Stanford’s research on irregular heartbeats which tracks Apple Watch users (the Apple Watch detects a person’s heartbeat). Dr. Ethan Weiss expected there to be more of these studies available because they reduce the costs and hardships of finding volunteers for studies. However, many point out the number of issues with doing studies through smartphones. Besides the countless personal information issues, doctors and researchers believe that monitoring people’s health through smartphones will lead to improvements in health.   

Glass Makes a Comeback by Nikhil Girish, DCMME GA Student

Glass Makes a Comeback

Nikhil Girish

Google Glass, a revolutionary piece of technology touted to change the way we interact with technology, smart devices and wearable technology was met with anticipation and excitement. Google was supposedly on the brink of seamlessly bringing AR into everyday lives of people. But what should have propelled us into the future was on the receiving end of widespread criticism. The wearers of Glass were ostracized by society for concerns of privacy, nobody wanted people wearing a device with a camera on it at bars, restaurants, movie theaters or any such place. They were further ridiculed with the appearance of Glass, giving the user a ‘dorky’ appearance. Furthermore, the price put it out of the reach of many potential customers. The battery life didn’t match the device’s marketing videos of being an “all-day” wearable. There were many more pitfalls, so much so that the search term most associated with glass is, “Is Google Glass still a thing?”. Google has since learnt from its failure and has quietly worked on Glass and found a new market for it, a market that appreciates the features that it has to offer.

Glass is now sold to businesses in agriculture, logistics, manufacturing and healthcare. Partnering with Proceedix, a digital work instruction platform, workers at these industries can now get access to step by step precise work instructions that are accessible without a computer screen and the mobility concerns that come with it. Glass also has a much bulkier frame that allows it to house a larger battery giving it a much larger work life. Glass can save companies costs in training, human error from newly recruited workers, a comprehensive pick to light system, space and resource consuming desktop/laptop computers at each workstation. Partnering with Ubimax, Glass is able to provide warehouse management solutions in fulfillment centers, allowing associates directly receive instructions from Glass versus having to manually scan multiple products and racks. GE has claimed a 34% increase in productivity and meaningful quality improvements while assembling wind turbines with Glass. In healthcare, a Glass solution built by Augmedix doctors are able to move away from documentation and charting duties and focus on spending their valuable time taking care of patients. With these developments in Glass technology, it may even become mainstream one day, taking the place of what it was meant to be.

Artificial Intelligence in Manufacturing by Matthew Gebbie (DCMME GA Student)

Artificial Intelligence in Manufacturing

Artificial Intelligence (AI) and its implementation have seen an explosion in the past few years, being adopted in self-driving cars, stock trading, and many other areas. One, perhaps surprising, area AI has been slow to become adopted is among manufacturing companies, specifically those with heavy assets. To address inefficiencies, traditionally manufacturers invest in more capital expenditures, however this may not be necessary as it has been in the past. Manufactures can now leverage AI technology to help drive efficiencies and reduce costs throughout their manufacturing process.

With the resurgence of artificial intelligence technologies manufactures have additional options to address production inefficiencies, rather than relying solely upon more capital investment. AI has the ability to, in real time, utilize data that machines are already collecting and provide valuable insight into the manufacturing process. By utilizing the data that is already being collected by the machines, AI allows companies to custom tailor solutions that are machine specific, providing each machine with its own custom solution. AI can analyze the data and make real time decisions instantaneously, freeing up operators’ time to focus on more value-added areas of improvement. Levering AI technology helps manufacturers avoid costly capital expenditures, drive efficiency, and spend more time adding value in other areas of the business.

Manufacturers, specifically those with heavy assets, have been slow to adopt artificial intelligence throughout their production processes. AI provides a cheaper way for manufacturers to reduce costs and drive efficiencies in their process, providing an alternative to more costly capital investments. Manufacturers are no stranger to implementing technology to improve the manufacturing process, and AI is the next step in that journey.

 

How do manufactures implement AI into their everyday process?

What impact will AI have on the responsibilities of operators in the future?

Can AI help fully automate the manufacturing process?

 

https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/ai-in-production-a-game-changer-for-manufacturers-with-heavy-assets

Reducing Scrap to Drive Profits — by Matthew Gebbie, Graduate Student at DCMME

Reducing Scrap to Drive Profits

Costs wasted on scrap parts could very well be the difference in a manufacturer being profitable or losing money. Reducing scarp to zero may seem like a pipe dream but nearing this number could have positive implications on business. Scrap rates, as a percentage of sales, in the US vary from 0.6% to 2.2%. That is, 2.2% of total revenues for some manufacturers in the US are wasted due to inefficiencies in the manufacturing process, creating scrap. Increasing manufacturing efficiency and reducing scrap costs are key in driving a profitable manufacturing operation.

In this day and age, data is king and that is no different when it comes to scrap reduction. Collecting and analyzing data draw awareness to the true cause of scrap in the manufacturing process. Without data, manufactures often fall into the trap of fixing what they perceive is driving inefficiencies, when there is no validation of the true cause. This can lead to manufacturers spending valuable time, resources, and money to fix an issue they don’t have. Using this data will allow manufacturers to make informed decisions and to address their true inefficiencies throughout the manufacturing process, reducing waste and saving money.

Utilizing data allows companies to determine which processes are working and which are not. It is imperative to maintain consistency on the working processes in order to not increase waste. Kaizen is the Japanese word for improvement. Kaizen is the process of continuously making small changes that drive improvement, reducing inefficiencies that are driving waste. Kaizen is just one of many quality management techniques that can be used to reduce waste. Regardless of the technique chosen, it is near impossible to get to 0 scrap, however driving toward this number is the key toward an efficient manufacturing process, leading to less waste and increased profits.

 

What new technologies can help to reduce scrap?

What is the best way to collect and analyze data around the manufacturing process?

How do we get to 0 scrap in the future?

 

https://www.sdcexec.com/warehousing/blog/21004027/reduce-scrap-and-rework-costs

https://www.ctnd.com/minimizing-scrap-discrete-manufacturing-business/

Traveling Through Cells With Rockets!

Structure of a Microscale Rocket

While “rocket” might not be the most accurate description of this emerging technology, these tiny devices are going to change the medical industry forever. Microscale rockets are devices that are about the size of a particle of dust and 3D printed using laser lithography. A bubble inside the rocket paired with ultrasound waves act as a motor and allow for the rocket to move about the body. It also has the ability to move cells and particles with precision. The goal of the product is to navigate the body on cellular level for the purpose of diagnosing diseases and administering medicine.

Source: https://www.sciencedaily.com/releases/2019/10/191025170817.htm

Solving the last mile delivery challenge by Abhilasha Satpathy, DCMME Center Graduate Student Assistant

  1. Crowdsourcing

This model allows retailers and logistics partners to connect with local couriers who use their own transportation to make deliveries. In this gig economy, crowdsourcing is a great way to ensure customers get faster delivery and it also eliminates the possibility of repeat attempt deliveries by providing the option of on-demand and scheduled deliveries to customers.

  1. Brick-and-Mortar Distribution Centers

Some retailers are using their storefront as a solution to the quick delivery problem. They have transformed their stores into distribution centers so that options such as same-day delivery are available to the customers.

  1. Smart Technology

The advancements in technology have inspired solutions that are cost-effective and convenient for both the retailer, as well as the customer. They make use of smart technology like sensors to provide retailers information regarding temperature variation in packaging, weather conditions for route planning, etc.

  1. Data Analytics

Advanced analytics (such as machine learning) help retailers optimize their last mile delivery operations. Data analytics can inform the company (or logistics partners) regarding customer-specific delivery constraints. Studying GPS traces along with relevant insights into the availability of local infrastructures such as roads and parking spaces can help make the entire process more efficient.

  1. Futuristic Delivery

Many startups, retailers and logistics services, are discovering new ways to tackle last mile delivery. Drone delivery, for instance, can not only shorten the time spent on delivery but also reduce the expensive human workforce. This workforce can then be directed towards more complex tasks. Autonomous self-driving vehicles with lockers are predicted to be the most dominant form of last mile delivery in the future.

Reference:

6 Last Mile Delivery Challenges and Solutions in Today’s Market. (2018, December 28). Retrieved from https://volttech.io/last-mile-delivery-market/.

 Questions:

  1. What are the different ways to tackle the last mile delivery problem?
  2. How do brick and mortar stores help in solving the last mile delivery problems?
  3. What are the futuristic delivery options to solve the last mile delivery problems?

 

Exploring New Boundaries With ‘Virtual Cameras’

The idea of being able to see through walls and around corners just became very real with a new study coming out of the University of Wisconsin-Madison and the Universidad de Zaragoza. The researchers at these universities have made strides in this new technology by means of methods of classical optics.

The practical applications of such a technology are vast. In the medical industry, it could allow for physicians to see internal parts of the body without the time factor of the current technology (ie. capsule endoscopy). Another application is for imaging in the defense and intelligence industries. It will allow for military personnel to better scope areas and intelligence agencies to locate people of interest.

Source: https://www.sciencedaily.com/releases/2019/08/190805112224.htm