What Sub-Metering did for Nissan in Tennessee

When Nissan built its motor manufacturing plant in Smyrna 30 years ago, the 5.9 million square-foot factory employing over 8,000 people was state of art. After the 2005 hurricane season sky-rocketed energy prices, the energy team looked beyond efficient lighting at the more important aspect of utility usage in the plant itself. Let’s examine how they went about sub-metering and what it gained for them.

The Nissan energy team faced three challenges as they began their study. They had a rudimentary high-level data collection system (NEMAC) that was so primitive they had to transfer the data to spread-sheets to analyse it. To compound this, the engineering staff were focused on the priority of getting cars faster through the line. Finally, they faced the daunting task of making modifications to reticulation systems without affecting manufacturing throughput. But where to start?

The energy team chose the route of collaboration with assembly and maintenance people as they began the initial phase of tracking down existing meters and detecting gaps. They installed most additional equipment during normal service outages. Exceptions were treated as minor jobs to be done when convenient. Their next step was to connect the additional meters to their ageing NEMAC, and learn how to use it properly for the first time.

Although this was a cranky solution, it had the advantage of not calling for additional funding which would have caused delays. However operations personnel were concerned that energy-saving shutdowns between shifts and over weekends could cause false starts. ?We’ve already squeezed the lemon dry,? they seemed to say. ?What makes you think there?s more to come??

The energy team had a lucky break when they stumbled into an opportunity to prove their point early into implementation. They spotted a four-hourly power consumption spike they knew was worth examining. They traced this to an air dryer that was set to cyclical operation because it lacked a dew-point sensor. The company recovered the $1,500 this cost to fix, in an amazing 6 weeks.

Suitably encouraged and now supported by the operating and maintenance departments, the Smyrna energy team expanded their project to empower operating staff to adjust production schedules to optimise energy use, and maintenance staff to detect machines that were running without output value. The ongoing savings are significant and levels of shop floor staff motivation are higher.

Let’s leave the final word to the energy team facilitator who says, ?The only disadvantage of sub-metering is that now we can’t imagine doing without it.?

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Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.

What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

  • Make our call centre operation nimble
  • Reduce the average time to handle calls
  • Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

  1. Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.
  1. Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.
  1. Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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How To Get Started with your IT Compliance Efforts for SOX

There’s no question about it. For many of you top executives in the corporate world, all roads leading to a brighter future have to go through SOX compliance. And because the business processes that contribute to financial reporting (the crux of the Sarbanes-Oxley Act) are now highly reliant on IT systems, it is important to focus a good part of your attention there.

It is a long and arduous path to IT compliance, so if you don’t want your company to fall by the wayside due to inefficient utilisation of resources, it is important to set out with a plan on hand. What we have here are some vital information that will guide you in putting together a sound plan for SOX compliance of your company?s IT systems.

Why focus on IT systems for SOX compliance?

We’ll get to that. But first, let’s take up the specific portions of the Sarbanes-Oxley Act that affect information technology. These portions can be found in Section 302 and Section 404 of the act.

In simplified form, Section 302 grants the SEC (Securities and Exchange Commission) authority to come up with rules requiring you, CEOs and CFOs, to certify in each annual or quarterly financial report the following:

  • that you have reviewed the report;
  • that based on your knowledge, the report does not contain anything or leave out anything that would render it misleading;
  • that based on your knowledge, all financial information in the report fairly represent the financial conditions of the company;
  • that you are responsible for establishing internal controls over financial reporting; and
  • that you have assessed the effectiveness of the internal controls.

Similarly, Section 404, stated in simplified form, allows the SEC to come up with rules requiring you, CEOs and CFOs, to add an internal control report to each annual financial report stating that you are responsible for establishing internal controls over financial reporting.

You are also required to assess the effectiveness of those controls and to have a public accounting firm to attest to your assessment based upon standards adopted by the Public Company Accounting Oversight Board (PCAOB).

While there is no mention of IT systems, IT systems now play a significant role in financial reporting. Practically all of the data you need for your financial reports are stored, retrieved and processed on IT systems, so you really have to include them in your SOX compliance initiatives and establish controls on them.

Now that that’s settled, your next question could very well be: How do you know what controls to install and whether those controls are already sufficient to achieve compliance?

Finding a suitable guide for IT compliance

The two bodies responsible for setting rules and standards dealing with SOX, SEC and PCAOB, point to a well-established control framework for guidance – COSO. This framework was drafted by the Committee of Sponsoring Organisations of the Treadway Commission (COSO) and is the most widely accepted control framework in the business world.

However, while COSO is a tested and proven framework, it is more suitable for general controls. What we recommend is a widely-used control framework that aligns well with COSO but also caters to the more technical features and issues that come with IT systems.

Taking into consideration those qualifiers, we recommend COBIT. COBIT features a well thought out collection of IT-related control objectives grouped into four domains: Plan and Organise (PO), Acquire and Implement (AI), Deliver and Support (DS), and Monitor and Evaluate (ME). The document also includes maturity models, performance goals and metrics, and activity goals.

A few examples of COBIt’s detailed control objectives are:

DS4.2 – IT Continuity Plans
DS4.9 – Offsite Backup Storage
DS5.4 – User Account Management
DS5.8 – Cryptographic Key Management
DS5.10 – Network Security
DS5.11 – Exchange of Sensitive Data

By those titles alone, you can see that the framework is specifically designed for IT. But the document is quite extensive and, chances are, you won’t need all of the items detailed there. Furthermore, don’t expect COBIT to specify a control solution controls for every control objective. For example, throughout the control objective DS4 (Ensure Continuous Service), you won’t find any mention of virtualisation, which is common in any modern business continuity solution.

Basically, COBIT will tell you what you need to attain in order to achieve effective governance, management and control, but you’ll have to pick the solution best suited to reach that level of attainment.

Articles highly relevant to the one you just read:

Month End Accounting The Way It Should Be Today
Spreadsheet Woes ? Burden in SOX Compliance and Other Regulations
Spreadsheet Woes ? Limited Features For Easy Adoption of a Control Framework
How Internal Auditors Can Win The War Against Spreadsheet Fraud

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