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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Telemetry and the Survival of the Human Species

Without moisture, plants die. Without fodder, the animal food chain collapses. This is why climate change is the greatest threat humankind faces. Crop management needs timely information regarding ambient conditions, and also in the soil itself. In dry areas, online knowledge of trends in rainfall, sunlight, wind speed, leaf moisture, air temperature, relative humidity and solar radiation are indicators of soil stress that can be deadly for plants, and everything that relies on them.

As climate change bites, the need to find solutions accelerates. Drones swoop across to monitor ambient conditions, while probes sunk into plants and the earth in which they grow transmit information to big data repositories for feedback to administrators. In Australia, a remarkable cattle farmer is applying the same approach to his herds.

Nuffield scholar Rob Cook has always been on the edgy side of things. He lost his mobility in a helicopter crash in 2008 patrolling farmland but that has not deterred him. If anything, it has freed his mind to explore the potential that telemetry offers farmers in Australia. He shared this potential with the young beef producers in Roma Australia recently, and here is a summary what he said.

Being wheelchair bound he had to shift from herding with cattle dogs to a more scientific approach. He bought a farm 230 miles / 370 kilometres inland from Brisbane in a warm, temperate climate with significant rainfall even in the driest months. He uses observant software that reports on critical issues like water levels indicating animal consumption, and supplementary water flows from a central irrigation channel.

He also monitors fodder sources for dryer months, and moisture levels in food stocks. Rob is committed to making every blade of grass count. ?We even have the ability to take a photo of the cattle when they are taking a drink of water,? he explains, and that provides valuable information regarding tick and fly infestation and overall condition.

None of this would be possible for Rob Cook without telemetry, which is the process of collecting data at remote points and transmitting it to receiving equipment for analysis. Independent farmers do not have equipment to fund these analytic resources on their own, and use big data resources in a cloud to obtain reports. ecoVaro is on top of current trends. Please speak to us when you need independent advice.

Proactive Preventative Maintenance: How IoT and Field Service Management Software Helps

FieldElite, our mobile workforce management software, has been key to several industries? return on investment. Whether it’s for plumbing, electrical, property management, cleaning, and maintenance, FieldElite has provided data centralisation for efficient management of these business activities.

Field service management software is important to utilise current workload, and also helps resolve future issues. We’re talking about a proactive approach to preventative maintenance.

How exactly do field service managements help in preventative maintenance?

The answer lies in how field service management is interlinked with IoT in predicting future jobs for the mobile service industry.

What is IoT?

Simply put, the Internet of Things (IoT) is a network of devices and sensors connected to the internet. These ?things? (e.g. your smartphone or smartwatch) enable data to be sent and be received without human intervention.

Fundamentally, IoT is about devices being connected to the internet to allow remote monitoring.

For many years now, remote monitoring for IT infrastructure has been widely used.

What’s new that we’re experiencing right now is even the smallest devices ? individual light bulbs and sensors ? can have a network and internet connection, allowing entire systems to be monitored in great detail.

Implementing IoT and accessing data can be challenging for most service organisations. However, when combined with predictive analytics and field management software, it can have a huge potential impact on individual businesses and the service industry as a whole.

What is Preventative Maintenance?

Preventive maintenance refers to regular, routine maintenance to help keep equipment up and running, preventing any unplanned downtime and expensive costs from unanticipated equipment failure.

The goal of preventative maintenance is to decrease the likelihood of a machine or an equipment’s failure by performing regular maintenance.

Preventative management can be very complex, especially for companies with a fleet of equipment or customers. It requires careful planning and scheduling of maintenance on equipment before there is an actual problem.

Also, preventive maintenance is evolving. It’s not just about scheduling the same work every month to prevent failure anymore. Today, working smarter with better information about equipment conditions is critical to ensure maintenance is effective.

That’s where IoT and field service management software, like FieldElite, comes in. Together, they organise and carry out preventive maintenance needs for service industries.

How IoT and FieldElite Helps in Preventative Maintenance

With FieldElite and IoT technology, you get the best in preventive maintenance management.

Evaluation of equipment or machines ? the condition of machines or equipment is evaluated in order to predict when maintenance needs to be performed.
Automated work order ? automated time-based work order creation
Full condition-based plans allows you to do the following:
- Right-size your maintenance work
- Lower costs
- Extend the life of your or customer?s assets

Quicker reporting ? due to its efficient and automated nature, IoT and field service management software can reduce a field technician?s average report time from two weeks to two days, therefore boosting your cash flow!

That’s the most important result a mobile service management software can produce (in connection with preventative maintenance). It’s cost-saving! This can be achieved over routine or time-based preventive maintenance, as tasks are only performed when they are needed.

The Internet of Things (IoT) and field service management software is changing field service as we know it.

Companies who adapt and utilise these technologies will benefit the most from the resulting competitive advantage of preventative maintenance.

Start elevating every field service experience now!

Our field service software, FieldElite helps you:

Accepts jobs in the field
Automate appointment scheduling
Manage scheduled jobs
Get real-time visibility into all operations
Have a clear and easy viewing of job locations
Resolve field service calls faster
Enable mobile workers to get the job done right
Keep customers updated at every step
Create quotations and accept payments
Analyse efficient reports from field technicians
Helps in proper preventative maintenance management.

Learn how to schedule jobs to field workers with ease. Check out FieldElite!

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User-Friendly RASCI Accountability Matrices

Right now, you’re probably thinking that’s a statement of opposites. Something dreamed up by a consultant to impress, or just to fill a blog page. But wait. What if I taught you to create order in procedural chaos in five minutes flat? ?Would you be interested then?

The first step is to create a story line ?

Let’s imagine five friends decide to row a boat across a river to an island. Mary is in charge and responsible for steering in the right direction. John on the other hand is going to do the rowing, while Sue who once watched a rowing competition will be on hand to give advice. James will sit up front so he can tell Mary when they have arrived. Finally Kevin is going to have a snooze but wants James to wake him up just before they reach the island.

That’s kind of hard to follow, isn’t it ?

Let’s see if we can make some sense of it with a basic RASCI diagram ?

Responsibility Matrix: Rowing to the Island
Activity	Responsible	Accountable	Supportive	Consulted	Informed
Person	John	Mary	Sue	James	Kevin
Role	Oarsman	Captain	Consultant	Navigator	Sleeper

Now let’s add a simple timeline ?

Responsibility Matrix: Rowing to the Island
?	Sue	John	Mary	James	Kevin
Gives Direction	?	?	A	?	?
Rows the Boat	?	R	?	?	?
Provides Advice	S	?	?	?	?
Announces Arrival	?	?	A	C	?
Surfaces From Sleep	?	?	?	C	I
Ties Boat to Tree	?	?	A	?	?

Things are more complicated in reality ?

Quite correct. Although if I had jumped in at the detail end I might have lost you. Here?s a more serious example.

There?s absolutely no necessity for you so examine the diagram in any detail, other to note the method is even more valuable in large, corporate environments. This one is actually a RACI diagram because there are no supportive roles (which is the way the system was originally configured).

Other varieties you may come across include PACSI (perform, accountable, control, suggest, inform), and RACI-VS that adds verifier and signatory to the original mix. There are several more you can look at Wikipedia if you like.