How Bombardier Inc. scored a Bulls Eye

When travelling anywhere in the world on land, sea or air, chances are, you will travel courtesy of something made by aerospace and transportation company Bombardier based in Montreal, Canada. In 2009, it set itself the goal of carbon neutrality by 2020. In other words, it hoped to remove as much carbon dioxide from the atmosphere as it was putting in.

By 2012, Bombardier concluded it was not going to become carbon neutral by 2020 at its current rate of progress. It discounted purchasing carbon offsets because it believed it would serve its interests better by introducing new energy-saving products to market faster. That way, it would achieve its objectives vicariously through the decisions of its customers. But that was not all that forward-thinking Bombardier did. It also set itself the following inward-facing objectives:

  • Reduce carbon footprint through efficient use of energy and less emissions
  • Involve the Bombardier workforce to raise awareness of behaving responsibly
  • Implement sustainable initiatives to further reduce the company carbon footprint

Specific Examples

At its Wichita site, Bombardier (a) fitted a white roof and insulation reducing summer energy consumption by 40%, (b) added an energy recovery wheel to balance air circulation, and (c) introduced skylights with integrated controllers to lower energy consumption by lighting.

At Mirabel, it enhanced the flue-gas management system by adding a pressure differential damper.

At Belfast, Bombardier (a) optimised HVAC systems to reduce pressure on chilling and air-handling plants, (b) installed solar panels on the roof, and (c) obtained approval for a waste-to-energy plant that will convert 120,000 tonnes of non-recyclable waste material annually.

By the end of 2013, Bombardier had already beaten its immediate targets by:

  • Reducing energy consumption by 11% against 2009
  • Reducing greenhouse gas emission by 23% against 2009
  • Reducing water consumption by 6% against 2012

Future Plans

Bombardier will never stop striving to reach its goal of carbon neutrality by 2020. It has a number of other projects in the pipeline waiting for scarce resources to fund them. During 2014, it continued with energy efficient upgrades at its French, Hungarian, Polish, Swiss, and UK plants.

These include consumption monitoring systems, LEDs for workshop lighting, new heating systems, and outdoor energy-saving tower lighting. The monitoring is important because it helps Bombardier focus effort, and provides measured proof of progress.

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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.

The Connection Between Six Sigma and CRM

Six Sigma is an industrial business strategy directed at improving the quality of process outputs by eliminating errors and system variables. The end objective is to achieve a state where 99.99966% of events are likely to be defect free. This would yield a statistical rating of Sigma 6 hence the name.

The process itself is thankfully more user-friendly. It presents a model for evaluating and improving customer relationships based on data provided by an automated customer relations management (CRM) system. However in the nature of human interaction we doubt the 99.99966% is practically achievable.

Six Sigma Fundamentals

The basic tenets of the business doctrine and the features that set off are generally accepted to be the following:

  1. Continuous improvement is essential for success
  1. Business processes can be measured and improved
  1. Top down commitment is fundamental to sustained improvement
  1. Claims of progress must be quantifiable and yield financial benefits
  1. Management must lead with enthusiasm and passion
  1. Verifiable data is a non-negotiable (no guessing)

Steps Towards the Goal

The five basic steps in Six Sigma are define the system, measure key aspects, analyse the relevant data, improve the method, and control the process to sustain improvements. There are a number of variations to this DMAIC model, however it serves the purpose of this article. To create a bridge across to customer relationships management let us assume our CRM data has thrown out a report that average service times in our fast food chicken outlets are as follows.

<2 Minutes 3 to 8 Minutes 9 to 10 Minutes >10 Minutes
45% 30% 20% 5%
Table: Servicing Tickets in Chippy?s Chicken Caf?s

Using DMAIC to unravel the reasons behind this might proceed as follows

  • Define the system in order to understand the process. How are customers prioritised up front, and does the back of store follow suit?
  • Break the system up into manageable process chunks. How long should each take on average? Where are bottlenecks most likely to occur?
  • Analyse the ticket servicing data by store, by time of day, by time of week and by season. Does the type of food ordered have a bearing?
  • Examine all these variables carefully. Should there for example be separate queues for fast and slower orders, are there some recipes needing rejigging
  • Set a goal of 90% of tickets serviced within 8 minutes. Monitor progress carefully. Relate this to individual store profitability. Provide recognition.

Conclusion

A symbiotic relation between CRM and a process improvement system can provide a powerful vehicle for evidencing customer care and providing feedback through measurable results. Denizon has contributed to many strategically important systems.?

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A Definitive List of the Business Benefits of Cloud Computing – Part 2

Improves cash flow

The capital investment you put into an on-premise IT infrastructure is normally based on a long-range forecast of what your highest computing demands will be. But what if, as they often do, the estimates turn out to be too high? Then you’ll have to bear with the huge depreciation cost or monthly amortisation of a grossly underutilised asset for the next couple of years. (more…)

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