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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FUJIFILM Cracks the Energy Code

FUJIFILM was in trouble at its Dayton, Tennessee plant in 2008 where it produced a variety of speciality chemicals for industrial use. Compressed-air breakdowns were having knock-on effects. The company decided it was time to measure what was happening and solve the problem. It hoped to improve reliability, cut down maintenance, and eliminate relying on nitrogen for back-up (unless the materials were flammable).

The company tentatively identified three root causes. These were (a) insufficient system knowledge within maintenance, (b) weak spare part supply chain, and (c) generic imbalances including overstated demand and underutilised supply. The maintenance manager asked the U.S. Department of Energy to assist with a comprehensive audit of the compressed air system.

The team began on the demand side by attaching flow meters to each of several compressors for five days. They noticed that – while the equipment was set to deliver 120 psi actual delivery was 75% of this or less. They found that demand was cyclical depending on the production phase. Most importantly, they determined that only one compressor would be necessary once they eliminated the leaks in the system and upgraded short-term storage capacity.

The project team formulated a three-stage plan. Their first step would be to increase storage capacity to accommodate peak demand; the second would be to fix the leaks, and the third to source a larger compressor and associated gear from a sister plant the parent company was phasing out. Viewed overall, this provided four specific goals.

  • Improve reliability with greater redundancy
  • Bring down system maintenance costs
  • Cut down plant energy consumption
  • Eliminate nitrogen as a fall-back resource

They reconfigured the equipment in terms of lowest practical maintenance cost, and moved the redundant compressors to stations where they could easily couple as back-ups. Then they implemented an online leak detection and repair program. Finally, they set the replacement compressor to 98 psi, after they determined this delivered the optimum balance between productivity and operating cost.

Since 2008, FUJIFILM has saved 1.2 million kilowatt hours of energy while virtually eliminating compressor system breakdowns. The single compressor is operating at relatively low pressure with attendant benefits to other equipment. It is worth noting that the key to the door was measuring compressed air flow at various points in the system.

ecoVaro specialises in analysing data like this on any energy type.?

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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.

Matrix Management: Benefits and Pitfalls

Matrix management brings together managers and employees from different departments to collaborate with each other towards the accomplishment of the organizational goals. As much as it is beneficial, matrix management also has limitations. Hence, companies should understand its benefits and pitfalls before implementing this management technique.

Benefits

The following are some of the advantages of matrix management:

Effective Communication of Information

Because of the hybrid nature of the matrix structure, it enables different departments to closely work together and communicate frequently in order to solve project issues. This leads to a proficient information exchange among leaders and subordinates. Consequently, it results to developed strategies, enhanced performance and quick productivity.

Efficient Use of Resources

Resources can be used efficiently in the organisation since it can be shared among functions and projects. As the communication line is more open, the valuable knowledge and highly skilled resources are easily distributed within the organisation.

Increased Motivation

The matrix structure promotes democracy. And with the employees working on a team, they are motivated to perform their duties better. The opinions and expertise of the employees are brought to the table and considered by the managers before they make decisions. This leads to employee satisfaction, empowerment and improved performance.

Flexibility

Since the employees communicate with each other more frequently, decision making becomes speedy and response is adaptive. They can easily adjust with diverse situations that the company encounters.

Skills Development

Matrix employees are pooled out for work assignments, even to projects that are not necessarily in line with their skill background. With this approach to management, employees have the chance to widen their skills and expertise.

Discipline Retention

One significant advantage of matrix management is that it enables the employees to maintain their skills in functional areas while working with multidisciplinary projects. Once the project is completed and the team wraps up, the members remain sharp in their discipline technically and return to their home functions.

Pitfalls

Here are some disadvantages of matrix management:

Power Struggle

In the matrix structure, there is always tension between the functional and project manager. Although their intent is polite, their conflicting demands and competition for control over the same resources make it more difficult.

Internal Complexity

Having more than one manager, the employees might become confused to who their immediate leader is. The dual authority can lead to internal complexity and possible communication problems. Worst, employee dissatisfaction and high employee turnover.

Heightened Conflict

In any given situation where people and resources are shared across projects, there would always be competition and conflict. When these issues are prolonged, conflicts will heightened and will lead to more internal problems.

Increased Stress

For the employees, being part of a matrix structure can be stressful. Their commitment is divided among the projects and their relationship with multiple managers requires various adjustments. Increased stress can negatively affect their performance in the long run.

Excessive Overhead Expenses

Overhead administrative costs, such as salaries, increase in a matrix structure. More expenses, more burden to the organisation. This is a challenge to matrix management that leaders should consider carefully.

These are just some of the advantages and disadvantages of matrix management. The list could go on, depending on the unique circumstances that organisations have. The key is that when you decide to implement matrix management, you should recognise how to take full advantage of its benefits and understand how to lessen, if not eradicate, the pitfalls of this approach to management.

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