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четверг, 28 декабря 2017 г.

8 Most Innovative Startups of 2017

1. Zero Mass Water The Arizona-based startup says it can pull up to five liters of drinkable water a day from the air using a super absorbent material. The solar-powered system is in use in Jordan and Mexico and hit U.S. markets in late 2017.


2. Descartes Labs Spun out of Los Alamos National Lab, this startup analyzes satellite photos of Earth to make predictions. Its A.I. projects everything from mosquito breeding patterns in Africa to American corn yields--which it nailed within 1 percent last year. 



3. Lemonade The startup wants to upend the model for home insurance. A predetermined fraction of your premium goes to charity instead of to the company’s bottom line. A.I.-based underwriting and claims adjusting help keep policy costs low.


4. SkyCool Systems Spun out of Stanford, SkyCool invented a system that beams heat into space. When applied to a new building's air conditioning system, SkyCool says it can reduce costs by up to 70 percent. 


5. Lucid VR Lucid’s point-and-shoot camera knocks down the barriers to creating virtual reality content. There's no tripod or other equipment needed, and it runs $499, so just about anyone can create immersive 180-degree, 3-D movies.


6. Scoutible The startup wants to remake the hiring process--using a video game. With 20 minutes of game play, the company’s A.I. measures candidates on traits such as empathy and risk aversion, letting companies focus on those who are a fit.


7. Vicis The Seattle-based startup turned the football helmet inside out: The soft part is now on the outside. The Zero1 was rated the safest helmet by the NFL in April, and nearly 100 pro players have strapped it on this season.


8. Blue River Technology Thanks to computing "vision," this startup's farming machines can determine exactly where to spray herbicides. By focusing only on the plants that need them, the company says farmers can cut their fertilizer usage by up to 90 percent



воскресенье, 10 сентября 2017 г.

​​​Megatrends changing the world as we know it​​​

​Disruption affecting our lives and businesses is accelerating at an unprecedented rate. Today any movie we want to watch is just a few clicks away. We can buy a new pair of shoes, get takeaway, hire a cleaner, by simply using our smart phones and have it conveniently arrive at our door. Businesses like Spotify, Uber and Facebook are thriving while many well-known brands such as Blockbuster and Borders have disappeared. Here are the six global megatrends that will continue to change the world in 2017 and beyond.  


1. Countries growing and changing​
Geopolitical uncertainty will​ continue in 2017. We will see more dramatic changes increasing instability and fragm​entation, as we have seen last year with Brexit and the US presidential election. Currency fluctuations, differing regulatory environme​​nts and varying consumer views will provide challenges to businesses. More disruption and opportunities will be created from emerging economies in Asia, Latin America and Africa. Increasing middle class means higher spend on services, increasing competition and opportunities to create new markets. In dealing with this ever changing landscape, organisations need to manage risk through diversification, while becoming more nimble, and most importantly having a clear strategic focus.

2. Change in demographics
Population is growing at an unprecedented rate. In 2009 there were 7.4 billion people and by 2040 it is projected to be 9 billion. People will live longer and the ageing will outweigh the working population. By 2050 there will be only two working age people for every elderly person. There is an opportunity for businesses to encourage people over 50 to have greater participation in the workforce by developing digital skills and increasing workplace and retirement flexibility.​

3. New Technologies
As artificial intelligence accelerates, many industries will be at risk of automation. This will see future workforce focus on tasks requiring human strengths such as reasoning and emotional intelligence. Growth in the wearables market will continue and will be more entwined in everyday fashion. Conductive fabrics or sensor-clad smart garments will become more wide spread, while ingestibles will gather mass amounts of information on our health. 
Customer expectations will continue to increase with the acceleration of the Internet of Things (IoT). 50 billion devices are expected to be connected by the year 2020. The future is 'smart homes and cities' with near limitless network connectivity of everyday objects such as phones, appliances and cars. Organisations that are able to connect experiences through all touch points will continue to differentiate and engage consumers.

4. Customer experience and expectation​
Customer's expectations continue to increase. Experiences that surround a product or service are as important as the product itself. They expect these experiences to be personalised, consistent and available across all channels, both digital and analog, from anywhere at any time. A unified view is essential. Success depends on how well these channels are organized and connected to deliver a seamless experience.

Customers expect to be treated as individuals and have everything they need, when they need it. Their ability to self-service and customise the experience is crucial as they want to be more informed and in charge of how they engage. Not every customer wants to come to you for simple queries, and prefer to learn and help themselves. As a result businesses need to provide flawless support 24/7.


5. Big Data
'Big Data' will continue to play a key role in business' ability to deliver great customer experiences. The volume of data will grow even more with the increase in new technologies such as wearables, mobile devices and the IoT. However having big volumes of data isn't necessarily better. It's what businesses do with the data that's important. An opportunity exists for businesses to translate the data into actionable insights. One of the biggest expectations from customers will be receiving answers or an approval for an application straight away using real-time data collection and analysis. Businesses that are not quick to respond will lose new and existing customers to competitors.

6. New Business Models
Today new business models and disruption almost go hand in hand. In the last few years we have seen the rise of new models including:

Subscription and shareconomy based models which have created new forms of revenue generation. Think Netflix, Uber, Airbnb and HelloFresh.

The freemium model, which allows customers to have a basic service for free and then pay to upgrade, has allowed businesses to build a large customer base. We have seen this implemented successfully by Dropbox, LinkedIn and Spotify.

The democratisation of coding, crowdsourcing, peer-to-peer lending have enabled numerous start-ups with great ideas to take-off. More innovative and disruptive ventures are expected to develop, disrupting businesses globally. Businesses need to continuously be at the forefront by becoming disruption thought leaders.

At its core, the societal and technological shifts above are resulting in two things:
  1. A consumer revolution sparked by their connectivity to everything, anywhere and anytime. As a result of which customers demand constant, convenient and personalised experiences
  2. Tremendous changes in the ways businesses are conducted to stay ahead in the growing market competition
Regardless of your personal opinion these changes will and are changing the face and pace of business today. The question then remains is how your business can continue to increase their scale, offer security and stability, while being nimble and able to predict and respond to market opportunities.
Connecting the dots and being able to navigate change starts with awareness. Computershare has worked with many organisations on creating an appreciation of these macro trends and their implications, alongside solutions to ensure a relevant place for our clients now and in the future.​

GENERAL MANAGER DIGITAL & SOLUTIONS
Lisa McAndrew






вторник, 25 июля 2017 г.

Disruptive technologies: Advances that will transform life, business, and the global economy

Twelve emerging technologies—including the mobile Internet, autonomous vehicles, and advanced genomics—have the potential to truly reshape the world in which we live and work. Leaders in both government and business must not only know what’s on the horizon but also start preparing for its impact.
The relentless parade of new technologies is unfolding on many fronts. Almost every advance is billed as a breakthrough, and the list of “next big things” grows ever longer. Not every emerging technology will alter the business or social landscape—but some truly do have the potential to disrupt the status quo, alter the way people live and work, and rearrange value pools. It is therefore critical that business and policy leaders understand which technologies will matter to them and prepare accordingly.
Disruptive technologies: Advances that will transform life, business, and the global economy, a report from the McKinsey Global Institute, cuts through the noise and identifies 12 technologies that could drive truly massive economic transformations and disruptions in the coming years. The report also looks at exactly how these technologies could change our world, as well as their benefits and challenges, and offers guidelines to help leaders from businesses and other institutions respond.
We estimate that, together, applications of the 12 technologies discussed in the report could have a potential economic impact between $14 trillion and $33 trillion a year in 2025. This estimate is neither predictive nor comprehensive. It is based on an in-depth analysis of key potential applications and the value they could create in a number of ways, including the consumer surplus that arises from better products, lower prices, a cleaner environment, and better health.
Some technologies detailed in the report have been gestating for years and thus will be familiar. Others are more surprising. Examples of the 12 disruptive technologies include:
Advanced robotics—that is, increasingly capable robots or robotic tools, with enhanced "senses," dexterity, and intelligence—can take on tasks once thought too delicate or uneconomical to automate. These technologies can also generate significant societal benefits, including robotic surgical systems that make procedures less invasive, as well as robotic prosthetics and "exoskeletons" that restore functions of amputees and the elderly.










Next-generation genomics marries the science used for imaging nucleotide base pairs (the units that make up DNA) with rapidly advancing computational and analytic capabilities. As our understanding of the genomic makeup of humans increases, so does the ability to manipulate genes and improve health diagnostics and treatments. Next-generation genomics will offer similar advances in our understanding of plants and animals, potentially creating opportunities to improve the performance of agriculture and to create high-value substances—for instance, ethanol and biodiesel—from ordinary organisms, such as E. coli bacteria.
Energy-storage devices or physical systems store energy for later use. These technologies, such as lithium-ion batteries and fuel cells, already power electric and hybrid vehicles, along with billions of portable consumer electronics. Over the coming decade, advancing energy-storage technology could make electric vehicles cost competitive, bring electricity to remote areas of developing countries, and improve the efficiency of the utility grid.
The potential benefits of the technologies discussed in the report are tremendous—but so are the challenges of preparing for their impact. If business and government leaders wait until these technologies are exerting their full influence on the economy, it will be too late to capture the benefits or react to the consequences. While the appropriate responses will vary by stakeholder and technology, we find that certain guiding principles can help businesses and governments as they plan for the effects of disruptive technologies.
  • Business leaders should keep their organizational strategies updated in the face of continually evolving technologies, ensure that their organizations continue to look ahead, and use technologies to improve internal performance. Disruptive technologies can change the game for businesses, creating entirely new products and services, as well as shifting pools of value between producers or from producers to consumers. Organizations will often need to use business-model innovations to capture some of that value. Leaders need to plan for a range of scenarios, abandoning assumptions about where competition and risk could come from, and not be afraid to look beyond long-established models. Organizations will also need to keep their employees' skills up-to-date and balance the potential benefits of emerging technologies with the risks they sometimes pose.
  • Policy makers can use advanced technology to address their own operational challenges (for example, by deploying the Internet of Things to improve infrastructure management). The nature of work will continue to change, and that will require strong education and retraining programs. To address challenges that the new technologies themselves will bring, policy makers can use some of those very technologies—for example, by creating new educational and training systems with the mobile Internet, which can also help address an ever-increasing productivity imperative to deliver public services more efficiently and effectively. To develop a more nuanced and useful view of technology’s impact, governments may also want to consider new metrics that capture more than GDP effects. This approach can help policy makers balance the need to encourage growth with their responsibility to look out for the public welfare as new technologies reshape economies and lives.

понедельник, 5 июня 2017 г.

The next horizon of innovation for pharma


An executive partner at Flagship Pioneering discusses what’s next for the industry, disruptive technologies, and patient care.

David Epstein is an executive partner at Flagship Pioneering and chairman of the board of Rubius Therapeutics. Martin Dewhurst is a senior partner in McKinsey’s London office.


What’s next for the pharmaceuticals industry, amid digital disruption and rapid technological advances? McKinsey’s Martin Dewhurst sat down for a wide-ranging conversation with David Epstein of venture firm Flagship Pioneering to explore ways the sector could shift in coming years. In this interview, part of our Biopharma Frontiers series on how the pharmaceutical industry is evolving and how leaders can adapt, Epstein discusses the next horizon of innovation, critical elements of an effective business, and the kind of culture he tries to foster. An edited transcript of their conversation follows.

McKinsey: How do you see the pharmaceutical industry evolving?
David Epstein: If our job is to help people live longer and better lives, as I believe it is, then we’ve never had a better understanding of biology or better tools to affect it than we do today. I’m excited about the possibility of addressing diseases in a much more targeted way, with fewer unwanted effects, and identifying the patients who are most likely to respond well to a given intervention and who will benefit most.
If we can avoid exposing people to side effects when they won’t get benefits from a given treatment, we can take some of the waste out of the healthcare system, not to mention patient discomfort. Studies show the system has enormous inefficiencies at every level, whether it’s in the use of drugs, the way hospitals are run, or how patients go from doctor to doctor. If we can figure out how to customize treatments by selecting the right therapy for individual patients or by combining therapy with digital interventions, there is an opportunity to use the huge amount of money we spend on healthcare more efficiently—and to help make people healthier and happier in the process.
McKinsey: Do you think any of that will happen in the next three to five years?
David Epstein: I think it’s already starting on a small scale with targeted drug therapies, particularly in cancer and immunology. Take Gleevec and Herceptin: at first, few believed that targeted cancer therapy could have much impact, but after those two medicines came out, R&D dollars shifted to targeted treatments and spawned dozens of medications, some of which are true breakthroughs. The first generation of cellular therapies should come to market as early as the end of 2017. And diagnostic tests are increasing, too, with academic institutions and companies doing whole-genome screening.
An opportunity that will take longer to capture is remote monitoring, where patients are cared for in the comfort of their homes rather than in the doctor’s office or at the hospital. That might mean the doctor is seeing the patient via videoconferencing or the patient is wearing a patch to monitor some bodily function in real time. All that will happen, but it will be slow, because the system needs to adapt to address questions such as how you pay for it and how you build the infrastructure to get the quality of data you need.
McKinsey: Over the past decade, the excitement about the next horizon of innovation hasn’t been matched by the rate of delivery of new therapies. Why is that?
David Epstein: It’s always that way. Take antibodies. In the beginning, there was a lot of excitement about all the new druggable targets we were going to have and how they were going to change everything. Then there were one or two, and then nothing, and everybody thought that was it. The same goes for proteins. How many missteps have there been in gene therapy and cell therapy? It takes perseverance.
Most new approaches take more than ten years in our industry. When you see the idea at the beginning, you’re hoping it’s a year or two away, and then it doesn’t arrive. But scientists and companies are continuing to work on it in the meantime, and eventually there it is. If you watched Star Trek as a kid, think how long it took for many of those fictional devices to become real. It took decades after someone first dreamed them up, but now many of them are here in some form or other.
McKinsey: What about industry pipelines over the next five years? Do you think they are getting healthier?
David Epstein: They are much better in general. There are fewer me-too drugs. The challenge for many companies is that, because their top line hasn’t been growing, they can’t figure out how to fund everything in their early pipeline. That may create opportunities for spinout companies or other mechanisms to address the shortfall.
Increasingly more money has gone into venture capital over the past three or four years to capture the opportunity to find new therapeutics in previously dark spaces. In addition, the ability to take these companies public or address the need to supplement pharmaceutical-company pipelines has made the economics attractive. Attracting talent is now sometimes more rate limiting than the discovery and application of new biology and tools.
You also have to look at the external environment and think about what could go wrong. We should always worry when there’s political change. For instance, when payors—which is the government in most parts of the world—come under economic pressure, changes in legislation could disrupt the innovation process. If all of a sudden investors had no hope of being able to take their companies public and make a good return, that money would dry up, as would innovation. If pharma companies saw prices fall so far that their margins came under huge pressure, they would cut costs and reduce R&D as well as other spending. Eventually there would be an industry shakeout, and it would correct itself, but you’d have several years or longer where things slowed down or paused, and that’s an ongoing risk.
Last but not least, what’s fundamental in our industry is intellectual property [IP]. It comes under attack from time to time. If IP were not to hold, it could change everything and reduce all incentives that spur research and development, and therefore reduce progress.
McKinsey: Let’s discuss innovation. Which areas strike you as having the biggest potential?
David Epstein: There are many fertile areas as well as new tools to find new targets. I think we are going to see a series of products addressing liver disease, an area where not much has been available. And right now, the industry is spending a lot of energy and time on degenerative diseases of the brain such as Alzheimer’s. The problem is that we still don’t fully understand the biology of how the mind works or degenerates. If we did, we’d have many additional opportunities to create new interventions. And of course, oncology and autoimmune disease offer a rich opportunity. Thankfully, companies are now beginning to reengage in antibacterial research as well.
On top of that, I think cellular therapies will allow us to treat genetic diseases such as sickle-cell disease, thalassemia, and hematologic cancers. These are all near-term opportunities.
Then there’s all the excitement about the microbiome and its role in human health. We have more to learn, but it could give us a host of new ways to attack disease or identify new targets for small molecules. In two or three years, there will be breakthroughs not just in obvious areas, such as gastrointestinal disease, but around the connection between the mind and the gut, and between heart disease and the gut. Over time, these things will be elucidated, and new approaches will be developed. One day, we may be able to manage the microbiome in a prophylactic way by, say, modifying certain bacteria and giving it to people to prevent arthritis or depression.
McKinsey: That’s the science part, but what about technology innovation? Where do you see digital taking the medical field?
David Epstein: I believe there’s enormous waste in the way we do things. You go to a doctor, he or she makes a diagnosis and sends you home, and there’s little follow-up until you next return. There has to be a more effective way to monitor people over time. Digital allows that possibility. There are some incredible innovations out there—technology that enables a different level of efficiency, joined-up thinking within patient care.
When I was at Novartis, we built a digital-medicine group with teams of experts who worked with the products and the patients who needed them to determine what the digital enhancements should be, as well as to tackle the challenge of communicating with physicians and patients about what’s possible through social media. There’s so much that can be done to improve diagnosis and compliance, and in a lower-cost way. It’s hard to prove that the new approach works, but it certainly seems to have engaged lots of people, including some who had never been engaged before. Regulation is a factor, but pharma has a long way to go to catch up with other industries in this respect.
McKinsey: Patient-centricity is one of the buzzwords we keep hearing, but it’s extremely important. How do you see it playing out?
David Epstein: There are two aspects to this. One is that the pharmaceutical industry dramatically misunderstands what a patient goes through to get diagnosed and treated, so the first thing that’s necessary is to understand this better. With those insights, one can develop drugs with labels that are more likely to meet patients’ needs, commercialize them in a more patient-oriented way, and perform clinical trials more efficiently.
The second thing about patient-centricity is that it’s an enormously powerful tool to motivate your workforce about why we’re here and what we’re doing. Most employees don’t get excited about generating $X of sales each quarter. It’s important because we’re a business, but if people feel someone will live a better life because of what they are doing, it will motivate them to pick up the phone, break a bureaucratic process, or get the team together to have that meeting earlier and make a decision rather than waiting. It makes you more responsive and engaged, so you get innovation across the line more quickly.
Seeing the world through patients’ eyes makes employees feel good about helping people and leaving a legacy they can be proud of. You need to make it real. If you’re sitting in a meeting, you need to ask, “What would patients say if they were watching?”
McKinsey: What do you think will change in the way you move from innovating and developing new therapies to commercializing them?
David Epstein: Clinical trials will be different. Patient data won’t be collected only in the doctor’s office, and we won’t monitor only the standard indicators like heart rate; we’ll also consider quality-of-life measures. Eventually, patient-reported outcomes will routinely be included on drug labels. Trials will be smaller, because there will be a better way of determining which patients are likely to respond from the very beginning.
Unfortunately, the commercialization process isn’t going to change much. You still need to do many of the same things we do now to educate physicians and reach patients, although the social-media component will be bigger.
And payment is starting to move toward paying for outcomes. It won’t be that this therapy costs $X, but rather $X if it works and less—or even zero—if it doesn’t. If you buy a car and it doesn’t go, you take it back and get a new one, or you get your money back. The pharmaceutical industry is moving in the same direction.
McKinsey: This raises the issue of generating real-world-evidence data. What do you see as the pharma company’s role in that?
David Epstein: Healthcare systems and providers are generating data sets and have a huge advantage in controlling the data, and most of these organizations are willing to collaborate with pharma on a given medicine or therapeutic area. We’re going to have to do it together. Otherwise, we’ll both be generating data, and the data sets will say different things because we’ll ask different questions and use different analytic tools.
Some regulators are saying they may even give additional indications based on real-world data sets—or, if not new indications, then a follow-up commitment to getting a first indication to confirm the drug works in a real-life setting.
McKinsey: What advice would you give CEOs managing in today’s environment? How do you balance the long and the short term and be resilient?
David Epstein: Don’t fool yourself that making the quarterly numbers for your shareholders is the be-all and end-all. What really matters is how you create a vision. How do you hire the right people, build collaborative teams that can achieve more together than as individuals, and make a difference in the world? Ultimately, that’s what drives financial success and still more R&D to help future generations.

воскресенье, 23 апреля 2017 г.

Factors affecting production


What is meant by production?
Production is the provision of a product to satisfy wants and needs. The process involves businessesadding value to their products. E.g. The production process of matches involve cutting wood into matchsticks, putting phosaphorus ends on them and packaging them to sell.


Productivity
Productivity is the outputs measured against the inputs used to create it. This is measured by:
Output (over a given period of time)/Number of employees
If a worker makes more products in the same amount of time, his productivity increases. Firms aim to be productively efficient to be able to make more profits and compete against their competitors.

Methods of production
Job production
  • Goods are made individually, by one person.
  • Goods are usually specialized, no two goods are the same.
  • Usually made to order.
Pros
  • The product meets exact requirements of the customer.
  • The workers have more varied jobs.
  • More job satisfaction for workers.
Cons
  • Skilled labour is needed.
  • Slower and more expensive than other methods of production.
  • Usually labour intensive.
Batch production
  • Products are made in batches according to order.
Pros
  • It is flexible. You can easily change from making one product to another.
  • Still gives some variety to workers jobs.
  • Production is not too affected by machinery breakdown.
Cons
  • Expensive to move products around the workplace.
  • Storage space will be needed to store raw materials. Expensive.
Flow production
  • Large quantities of a product are produced in a continuous process.
  • Uses specialization.
  • Benefits from economies of scale.
  • Is capital intensive.
Pros
  • Low costs. Low prices. High sales.
  • Increased efficiency.
  • Little training is needed.
  • Goods are produced quickly and cheaply.
  • Goods do not need to be moved around like batch production. Saves time.
  • Quality is high and standardized (courtesy to Muhammad Hassaan Ayyub)
Cons
  • Boring for the workers. Little job satisfaction.
  • Needs a lot of capital to set up.
  • If one machine breaks down then the whole production process stops.
Which type of production should be used?
The type of production that should be used varies with how the product is demanded:
  • Job productionUnique and individual service is required.
  • Batch production: Demand is higher but products will not be sold in large quantities. Batches are made to orders.
  • Flow production: Demand for the product is high and steady.

Stock control
Stock control is important so that a business will not
run
out of stock and be unable to satisfy demands. When stock levels get to a certain point, more goods need to be reordered for the stock level to reach its maximum again. If more goods are not reordered, stocks could run out because of an unexpected
surge in demand. However, keeping a lot of stock costs money, so the level of stock in a company should always be balanced. The following graph demonstrates how stock can be controlled:


Lean production
  • Focuses on cutting down waste, increasing efficiency.
  • It tries to reduce the time taken to produce a product and transport it the selling point.
  • Includes the following methods:
    • Kaizen.
    • JIT production.
    • Cell production.
    • Kanban.


Kaizen
  • Continuous improvement through the elimination of waste.
    • Ideas of workers.
    • Regular meetings of workers to discuss how to increase efficiency.
  • The advantages of Kaizen:
    • Increased productivity.
    • Reduced amount of space needed for the production process.
    • Work-in-progress is reduced.
    • Improved layout of the factory floor may combine jobs of some employees, freeing others to do other things.
Just in time production
  • Eliminating the need to hold stocks.
  • Goods are delivered to the selling point just when they are needed.
  • JIT production needs:
    • Reliable suppliers.
    • Efficient system of ordering raw materials.
Cell production
  • Production line is divided into cells.
  • Each cell makes an identifiable part of the finished product.
  • Boosts morale.
Kanban
  • A system of ordering used with JIT production.
  • Operates with two component bins.
    • When one is emptied, production begins to fill it.
    • The other one is then left to be emptied.
    • The first one is filled up when the second one is emptied.


Improvements in technology
Here are some things that technology does in the production process:
  • Automation: Equipment in the production process is controlled by a computer. 
  • Mechanisation: Tasks are done by machines operated by people.
  • CAD (computer aided design): Used for designing 3-D objects.
  • CAM (computer aided manufacture): Computers control machines in the production process.
  • CIM (computer integrated manufacture): CAD and CAM are used together. The computer that uses CAD is directly linked with the one that controls the production process.
Here are some things that technology does in shops:
  • EPOS (electronic point of sale): When products' bar codes are scanned and the information is printed out on a receipt. Data is also sent to a computer to keep track of stocks.
  • EFTPOS (electronic fund transfer at point of sale): When the cash register is connected to the retailer's main computer and banks. The customer's credit/debit card is swiped and the money is debited from the customer's bank account. A receipt is printed out to confirm the transaction.
The advantages of new technology 
  • Increased productivity.
  • Boring jobs done by machines. Boosts motivation.
  • Training is needed to operate new machines. Workers become more skilled.
  • Better quality.
  • Better stock control.
  • Quicker communication and reduced paperwork.
  • Info is available faster, resulting in faster decision making (for managers).
The disadvantages of new technology
  • Unemployment
  • Expensive
    • To invest in new technology.
    • To replace outdated technology.
  • Employees are unhappy with changes in the workplace.

Quality control 
There are three ways to control quality:
Quality control
  • Involves checking and removing faulty products at the end of the production process.
  • Wastes a lot of money.
Quality assurance
  • Involves inspecting during and at the end of production.
  • Aim to
    • Stop faults from happening.
    • Set a quality standard that all products have to achieve.
  • Need teamworking and responsibility.
Total quality management
  • Encourages everyone to concentrate on quality.
  • Quality is the main aim for all staff.
  • Products need to satisfy all customer needs.