Saving Energy Step 1 ? Implementing a Management System

There has been much hype down the years regarding whether management is art or science. Thankfully, where people are concerned the pendulum has swung away from standard times in sweatshops in the west. However, when it comes to measuring physical things like harvest per square meter and the amount of energy consumed there is no substitute for scientific measurement, and this implies a system.

Managing energy cost and consumption down is like any other strategy. American engineer / statistician / management consultant W. Edwards Demming may have passed on in 1993. However he was as right as ever when he said:

When people and organizations focus primarily on quality, this tends to increase and costs fall over time.

However, when people and organizations focus primarily on costs, costs tend to rise and quality declines over time.

Demming believed that 90% of organizational problems arise from systems we put in place ourselves. This can be because we are so accustomed to them that we fail to notice when they are no longer relevant. The currently prevailing laissez faire towards energy is a case in point. What is managed improves and what is not, deteriorates. We know this. Let us take a look at how to apply this principle to energy management.

First, you need to get the subject out the closet and talk about it. How often do you do this is your boardroom, and how does energy rank against other priorities? Good governance is about taking up a position and following through on it. Here is a handy checklist you may like to use.

Do we use a consistent language when we talk about energy? Is it electricity, or carbon emitted (or are we merely fretting over cost).

How well engaged are we as a company? Looking up and down and across the organization are there points where responsibility stops.

How well have we defined accountability? Do we agree on key performance areas and how to report on them.

Are we measuring energy use at each point of the business? When did we last challenge the assumption that ?we’re doing okay?.

Have we articulated our belief that quality is endless improvement, or are we simply chasing targets because someone says we should.

A management system is a program of policies, processes and methods to ensure achievement of goals. The next blog focuses on tools and techniques that support this effort.

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Benefits of Integrating IoT and Field Service

Owing to the complexity of its definition, many people loosely use the phrase Internet of Things (IoT) without having a solid grasp of its true meaning. A majority in this category take IoT to be nothing more than the automation of home gadgets, where the internet is used to interconnect computing components embedded in everyday devices.

Granted, the whole idea of IoT got its roots from the home setting. Nevertheless, IoT has outgrown that spectrum and has since penetrated into almost every area of business and industry. By employing IoT, you can literally take full control of everything in your business using a single device. From assigning tasks to monitoring security, managing bills to tracking time, IoT has revolutionized the way business is done.

Interestingly, not so long ago, most technology experts limited their forecasts to machine-to-machine (M2M) integration and Augmented Reality (AR), which also, admittedly, hit the technology industry with an admirable suave. Back then, it could have been laughable for anyone to have suggested that IoT would be so commanding in almost every industry, including real estate, medicine, automobile, and more.

It’s not for nothing, therefore, that the field service industry has also embraced IoT, integrating it in the daily running of business activities, including tracking machine diagnostics, detecting breakdowns, and assigning field engineers to attend to customer needs.

How the Field Service Industry is Benefiting from IoT

Machine uptime has remained an ongoing concern for many customers. In the traditional approach, whenever a machine breaks down, the customer alerts the service provider and then the field service manager checks to see if there is any field engineer available for a new task. Once an engineer has been identified, he?s then dispatched to the site. This worked, but it resulted in an extended machine downtime, a terrible experience for customers.

Thanks to IoT, things are now happening differently.

IoT is now integrating machines to a central communications centre, where all alerts and status updates are sent. The notifications are instant. The field service manager, therefore, gets to learn of the status of machines at the exact time of status change. An engineer who?s not engaged would then be immediately assigned to undertake any needed servicing or repair.

By employing IoT, the service provider receives timely reports relating to diagnostics, machine uptime, part failures, and more. The field manager can, as a result, foretell and forestall any possible downtime.

How has this been helpful?

Before giving a definite answer to that question, it’s crucial to note that more than half of all field service organizations now employ IoT in their Asset Management Systems and Field Service Management. And to answer the question, all the organizations that have the two systems integrated using IoT experience twice as much efficiency as those that don’t, states an Aberdeen Group report. As you already know, improved efficiency results in a corresponding upshot in customer satisfaction.

Apps Making a Difference in IoT-Field Service

The integration of IoT into almost every aspect of business prompted the design and development of different applications to link computing devices. Since the advent of IoT, the software development for the technology has come of age. Powerful and lightweight apps that don simple yet beautiful user interfaces are now readily available at affordable price tags.

A good example of such an App is ecoVaro by Denizon.

ecoVaro not only helps businesses to monitor energy and other relevant environmental data such as Electricity, Gas, Water, Oil, Carbon, Temperature, Humidity, Solar Power, and more, but also provides analytics and comprehensive yet easy to understand reports. The data received from devices such as meters is converted into useful information that’s then presented in figures and graphs, thus allowing you to make decisions based on laid down controls.

The focus of the app is to instantly alert service engineers to go on site to fix issues.

With ecoVaro, field service engineers no longer have to return to the office to get new instructions. Also, customers don’t have to manually fire alerts to the service provider whenever something isn’t working correctly. By employing the latest in IoT, ecoVaro sends notifications to field service managers and engineers about respective customers that need support.

How ecoVaro Helps

Best-in-class companies aren’t ready to compromise on customer satisfaction. Therefore, every available avenue is used to address customer concerns with the deserved agility. By using IoT, ecoVaro makes it possible for field service providers to foresee and foreclose any possible breakdowns.

The inter-connectivity among the devices and the central communications centre results in increased revenue and improved interactivity between the system and the field engineers. This results in greater efficiency and lower downtime, which translates into improved productivity, accountability, and customer satisfaction, as well as creating a platform for a possible expansion of your customer base.

ecoVaro isn’t just about failed machines and fixes. It also provides diagnostics about connected systems and devices. With this, the diagnostics centre receives system reports in a timely manner, allowing for ease of planning and despatch of field officers where necessary.

Clearly, but using the right application, IoT can transform your business into an excellently performing field service company.

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.

What Heijunka is & How it Smooths Call Centre Production

The Japanese word Heijunka, pronounced hi-JUNE-kuh means ?levelling? in the sense of balancing workflows. It helps lean organizations shift priorities in the face of fluctuating customer demand. The goal is to have the entire operation working at the same pace throughout, by continuously adjusting the balance between predictability, flexibility, and stability to level out demand.

Henry Ford turned the American motor manufacturing industry upside down by mass-producing his iconic black motor cars on two separate production lines. In this photograph, body shells manufactured upstairs come down a ramp and drop onto a procession of cars almost ready to roll in 1913.

Smoothing Production in the Call Centre Industry

Call Centres work best in small teams, each with a supervisor to take over complex conversations. In the past, these tended to operate in silos with each group in semi-isolation representing a different set of clients. Calls came through to operators the instant the previous ones concluded. By the law of averages, inevitably one had more workload than the rest at a particular point in time as per this example.

Modern telecoms technology makes it possible to switch incoming lines to different call centre teams, provided these are multi-skilled. A central operator controls this manually by observing imbalanced workflows on a visual system called a Heijunka Box. The following example comes from a different industry, and highlights how eight teams share uneven demand for six products.

This departure from building handmade automobiles allowed Henry to move his workforce around to eliminate bottlenecks. For example, if rolls of seat leather arrived late he could send extra hands upstairs to speed up the work there, while simultaneously slowing chassis production. Ford had the further advantage of a virtual monopoly in the affordable car market. He made his cars at the rate that suited him best, with waiting lists extending for months.

A Modern, More Flexible Approach

Forces of open competition and the Six Sigma drive for as-close-to-zero defects dictates a more flexible approach, as embodied in this image published by the Six Sigma organisation. This represents an ideal state. In reality, one force usually has greater influence, for example decreasing stability enforces a more flexible approach.

Years ago, Japanese car manufacturer Toyota moved away from batching in favour of a more customer-centric approach, whereby buyers could customise orders from options held in stock for different variations of the same basic model. The most effective approach lies somewhere between Henry Ford?s inflexibility and Toyota?s openness, subject to the circumstances at the moment.

A Worked Factory Example

The following diagram suggests a practical Heijunka application in a factory producing three colours of identical hats. There are two machines for each option, one or both of which may be running. In the event of a large order for say blue hats, the company has the option of shifting some blue raw material to the red and green lines so to have the entire operation working at a similar rate.

Predictability, Flexibility, and Stability at Call Centre Service

The rate of incoming calls is a moving average characterised by spikes in demand. Since the caller has no knowledge whether high activity advisories are genuine, it is important to service them as quickly as possible. Lean process engineering provides technology to facilitate flexibility. Depending on individual circumstances, each call centre may have its own definition of what constitutes an acceptably stable situation.

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