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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Scrumming Down to Complete Projects

Everybody knows about rugby union scrums. For our purposes, perhaps it is best to view them as mini projects where the goal is to get the ball back to the fly-half no matter what the opposition does. Some scrums are set pieces where players follow planned manoeuvres. Loose / rolling scrums develop on the fly where the team responds as best according to the situation. If that sounds to you like software project management then read on, because there are more similarities?.

Isn’t Scrum Project Management the Same as Agile?

No it’s not, because Scrum is disinterested in customer liaison or project planning, although the team members may be happy to receive the accolades following success. In the same way that rugby players let somebody else decide the rules and arrange the fixtures, a software Scrum team just wants the action.

Scrum does however align closely ? dare I say interchangeably with Agile?s sprints. Stripping it of all the other stages frees the observer up to analyse it more closely in the context of a rough and tumble project, where every morning can begin with a backlog of revised requirements to back fit.

The 3 Main Phases of a Scrum

A Scrum is a single day in the life of a project, building onto what went before and setting the stage for what will happen the following day. The desired output is a block of component software that can be tested separately and inserted later. Scrumming is also a useful technique for managing any project that can be broken into discreet phases. The construction industry is a good example.

Phase 1 – Define the Backlog. A Scrum Team?s day begins with a 15 minute planning meeting where team members agree individual to-do lists called ?backlogs?.

Phase 2 – Sprint Towards the Goal. The team separates to allow each member to complete their individual lines of code. Little or no discussion is needed as this stage.

Phase 3 – Review Meeting. At the end of each working day, the team reconvenes to walk down what has been achieved, and check the interconnected functionality.

The 3 Main Phases of a Scrum ? Conclusions and Thoughts

Scrum is a great way to liberate a competent project team from unnecessary constraints that liberate creativity. The question you need to ask yourself as manager is, are you comfortable enough to watch proceedings from the side lines without rushing onto the field to grab the ball.

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How to Reduce Costs when Complying with SOX 404

Section 404 contains the most onerous and most costly requirements you’ll ever encounter in the Sarbanes-Oxley Act (SOX). In this article, we?ll take a closer look at the salient points of this contentious piece of legislation as it relates to IT. We?ll also explain why companies are encountering difficulties in complying with it.

Then as soon as we’ve tackled the main issues of this section and identify the pitfalls of compliance, we can then proceed with a discussion of what successful CIOs have done to eliminate those difficulties and consequently bring down their organisation’s IT compliance costs. From this post, you can glean insights that can help you plan a cost-effective way of achieving IT compliance with SOX.

SOX 404 in a nutshell

Section 404 of the Sarbanes-Oxley Act, entitled Management Assessment of Internal Controls, requires public companies covered by the Act to submit an annual report featuring an assessment of their company?s internal controls.

This ?internal control report? should state management’s responsibility in establishing/maintaining an adequate structure and a set of procedures for internal control over your company?s financial reporting processes. It should also contain an assessment of the effectiveness of those controls as of the end of your most recent fiscal year.

Because SOX also requires the public accounting firm that conducts your audit reports to attest to and report on your assessments, you can’t just make baseless claims regarding the effectiveness of your internal controls. As a matter of fact, you are mandated by both SEC and PCAOB to follow widely accepted control frameworks like COSO and COBIT. This framework will serve as a uniform guide for the internal controls you set up, the assessments you arrive at, and the attestation your external auditor reports on.

Why compliance of Section 404 is costly

Regardless which of the widely acceptable control frameworks you end up using, you will always be asked to document and test your controls. These activities can consume a considerable amount of man-hours and bring about additional expenses. Even the mere act of studying the control framework and figuring out how to align your current practices with it can be very tricky and can consume precious time; time that can be used for more productive endeavours.

Of course, there are exceptions. An organisation with highly centralised operations can experience relative ease and low costs while implementing SOX 404. But if your organisation follows a largely decentralised operation model, e.g. if you still make extensive use of spreadsheets in all your offices, then you’ll surely encounter many obstacles.

According to one survey conducted by FEI (Financial Executives International), an organisation that carried out a series of SOX-compliance-related surveys since the first year of SOX adoption, respondents with centralised operations enjoyed lower costs of compliance compared to those with decentralised operations. For example, in 2007, those with decentralised operations spent 30.1 % more for compliance than those with centralised operations.

The main reason for this disparity lies in the disorganised and complicated nature of spreadsheet systems.

Read why spreadsheets post a burden when complying with SOX and other regulations.

Unfortunately, a large number of companies still rely heavily on spreadsheets. Even those with expensive BI (Business Intelligence) systems still use spreadsheets as an ad-hoc tool for data processing and reporting.

Because compliance with Section 404 involves a significant amount of fixed costs, smaller companies tend to feel the impact more. This has been highlighted in the ?Final Report of the Advisory Committee on Smaller Public Companies? published on April 23, 2006. In that report, which can be downloaded from the official website of the US Securities and Exchange Commission, it was shown that:

  • Companies with over $5 Billion revenues spent only about 0.06% of revenues on Section 404 implementation
  • Companies with revenues between $1B – $4.9B spent about 0.16%
  • Companies with revenues between $500M – $999M spent about 0.27%
  • Companies with revenues between $100M – $499M spent about 0.53%
  • Companies with revenues less than $100M spent a whopping 2.55% on Section 404

Therefore, not only can you discern a relationship between the size of a company and the amount that the company ends up spending for SOX 404 relative to its revenues, but you can also clearly see that the unfavourable impact of Section 404 spending is considerably more pronounced in the smallest companies. Hence, the smaller the company is, the more crucial it is for that company to find ways that can bring down the costs of Section 404 implementation.

How to alleviate costs of section 404

If you recall the FEI survey mentioned earlier, it was shown that organisations with decentralised operations usually ended up spending more for SOX 404 implementation than those that had a more centralized model. Then in the ?Final Report of the Advisory Committee on Smaller Public Companies?, it was also shown that public companies with the smallest revenues suffered a similar fate.

Can we draw a line connecting those two? Does it simply mean that large spending on SOX affects two sets of companies, i.e., those that have decentralised operations and those that are small? Or can there be an even deeper implication? Might it not be possible that these two sets are actually one and the same?

From our experience, small companies are less inclined to spend on server based solutions compared to the big ones. As a result, it is within this group of small companies where you can find a proliferation of spreadsheet systems. In other words, small companies are more likely to follow a decentralised model. Spreadsheets were not designed to implement strict control features, so if you want to apply a control framework on a spreadsheet-based system, it won’t be easy.

For example, how are you going to conduct testing on every single spreadsheet cell that plays a role in financial reporting when the spreadsheets involved in the financial reporting process are distributed across different workstations in different offices in an organisation with a countrywide operation?

It’s really not a trivial problem.

Based on the FEI survey however, the big companies have already found a solution – employing a server-based system.

Typical server based systems, which of course espouse a centralised model, already come with built-in controls. If you need to modify or add more controls, then you can do so with relative ease because practically everything you need to do can be carried out in just one place.

For instance, if you need to implement high availability or perform backups, you can easily apply redundancy in a cost-effective way – e.g. through virtualisation – if you already have a server-based system. Aside from cost-savings in SOX 404 implementation, server-based systems also offer a host of other benefits. Click that link to learn more.

Not sure how to get started on a cost-effective IT compliance initiative for SOX? You might want to read our post How To Get Started With Your IT Compliance Efforts for SOX.?

A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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