Six Sigma

Six Sigma has received much attention worldwide as a management strategy that is said to have brought about huge improvements and financial gains for such big-name companies as Allied Signal, General Electric (GE) and Motorola.

If you want to give your business the chance to attain the same resounding success, Six Sigma could be the method that will steer you towards that direction.

What is Six Sigma?

So what really is it? Six Sigma is a business management tool that was developed using the most effective quality improvement techniques from the last six decades. Basing its approach on discipline, verifiable data, and statistical calculations, Six Sigma aims to identify the causes of defects and eliminate them, thereby resulting in near-perfect products that meet or exceed customer’s satisfaction.

The core concept behind the Six Sigma method is that if an organisation can quantify the number of “defects” there are in a particular process, improvement activities can be implemented to eliminate them, and get as close to a “zero defects” scenario as possible. Defect here is defined as any process output that fails to meet customer specifications.

Six Sigma is also unique from other programs in that it calls for the creation of a special infrastructure of people within the organisation (“Champions“, “Black Belts“, “Green Belts“) who are to be expert in the methods.

Six Sigma Methodologies

When implementing Six Sigma projects, two methodologies are often employed. Although each method uses five phases each, these two are distinguished from each other using 5-letter acronyms and their specific uses.

DMAIC ? is the project methodology used to improve processes and maximise productivity of current business practices. The 5 letters stand for:

  • D ? Define (the problem)
  • M ? Measure (the main factors of the existing process)
  • A ??Analyse?(the information gathered to deter mine the causes of defects)
  • I ? Improve (the current process based on the analysis)
  • C ? Control (all succeeding processes so as to minimise additional defects)

DMADV – is the method most suitable if your business is looking to create new products or designs. The acronym stands for:

  • D ? Define (product goals as the consumer market demands)
  • M ? Measure (and identify product capabilities and risks)
  • A ??Analyse?(to create the best possible design)
  • D ? Design (the product or process details)
  • V ? Verify (the design)

How does Six Sigma differ from other quality programs?

If you think that Six Sigma is just another one of those business strategies that produce more hype than actual results, think again. Six Sigma uses three key concepts that sets it apart from other business management methods.

  • It is strictly a data-driven approach, where assumptions and guesswork do not figure in the decision making.
  • It focuses on achieving quantifiable financial results ? the bottom line ($) ? as much as giving emphasis on customer satisfaction.
  • It requires strong management leadership, while at the same time creating a role for every individual in the organisation.

Is Six Sigma right for your business?

While many other organisations such as Sony, Nokia, American Express, Xerox, Boeing, Kodak, Sun Micro-systems and many other blue chip companies have followed suit in adopting Six Sigma, the truth is, any company — whether you have a large manufacturing corporation, or a small business specialising in customer service.

Certainly, there is a lot more to Six Sigma than what you can probably absorb in one sitting or reading.

With our wide range of business management consultancy services, we can help you understand the Six Sigma method in the context of your business. We can also help you establish your improvement goals, set up your program, and train your own team of “champions” who can lead in implementing your Six Sigma goals.

Find out more about our Quality Assurance services in the following pages:

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Failure Mode and Effects Analysis

 

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

  • Discover the possible risks that can come with a product or process;
  • Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
  • Monitor the action plan results, with emphasis on how risk was reduced.

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How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

?

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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How Volvo Dublin achieved Zero Landfill Status

The sprawling New River Valley Volvo plant in Dublin, Virginia slashed its electricity bill by 25% in a single year when it set its mind to this in 2009. It went on to become the first carbon-neutral factory in 2012 after replacing fossil energy with renewable power. Further efforts rewarded it with zero-landfill status in 2013. ecoVaro decided to investigate how it achieved this latest success.

Volvo Dublin?s anti-landfill project began when it identified, measured and evaluated all liquid and solid waste sources within the plant (i.e. before these left the works). This quantified data provided its environmental project team with a base from which to explore options for reusing, recycling and composting the discards.

Several decisions followed immediately. Volvo instructed its component suppliers to stop using cardboard boxes and foam rubber / Styrofoam as packaging, in favour of reusable shipping containers. This represented a collaborative saving that benefited both parties although this was just a forerunner of what followed.

Next, Volvo?s New River Valley truck assembly plant turned its attention to the paint shop. It developed methods to trap, reconstitute and reuse solvents that flushed paint lines, and recycle paint sludge to fire a cement kiln. The plant cafeteria did not escape attention either. The environment team made sure that all utensils, cups, containers and food waste generated were compostable at a facility on site.

The results of these simple, and in hindsight obvious decisions were remarkable. Every year since then Volvo has generated energy savings equivalent to 9,348 oil barrels or if you prefer 14,509 megawatts of electricity. Just imagine the benefits if every manufacturing facility did something similar everywhere around the world.

By 2012, the New River Valley Volvo Plant became the first U.S. facility to receive ISO 50001 energy-management status under a government-administered process. Further technology enhancements followed. These included solar hot water boilers and infrared heating throughout the 1.6 million square foot (148,644 square meter) plant, building automation systems that kept energy costs down, and listening to employees who were brim-full with good ideas.

The Volvo experience is by no means unique although it may have been ahead of the curve. General Motors has more than 106 landfill-free installations and Ford plans to reduce waste per vehicle by 40% between 2010 and 2016. These projects all began by measuring energy footprints throughout the process. ecoVaro provides a facility for you to do this too.

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