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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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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How Small Irish Businesses Avoid the GDPR Sting

Accountants providing chartered accounting services and tax advice are alerting smaller Irish companies to the consequences of the pending General Data Protection Regulation (GDPR). They believe these are going to feel the most pain come 25 May 2018, if they do not implement GDPR by then. We are trying our best to help avoid this situation by providing advice.

How to Kick the GDPR Ball into Play

The Irish Information Commissioner?s Office has produced a toolkit regarding where?s best to start. They suggest beginning with an information security assessment to determine the gaps companies need to close. Once quantified, this leads naturally to a plan of action, and resources needed to fulfil it. Here?s how to go about it:

1. Start by assessing your current ability to identify, assess, and manage threats to customer data security. Have you done anything at all to date? You must be holding some customer information surely, and it is highly likely the GDPR applies to you.

2. Next, review your company?s current customer data security policies. Are they documented and approved, or do new employees discover them sitting next to Nellie? Rate yourself on a scale where ten is successful implementation.

3. Now consider how well you have pinned responsibilities on individuals to implement policies and take the lead on GDPR. The latter should be the business owner, or a board member with clout to make things happen.

4. By now, you should have a grasp of the scale of work ahead of you, remembering the EU deadline is 25 May 2018. If this sounds overwhelming, consider outsourcing to your accountant or a specialist provider.

5. Under the General Data Protection Regulation you have only 72 hours to report a breach of customer data security to the Information Commissioner?s Office. Do you have a quality assurance mechanism to oversee this?

Tangible Things to Bring Your Own People on Board

With all the changes going on, there is a risk of your employees regarding GDPR as ?another management idea going nowhere.? Thus, it is important to incorporate the new EU regulations in staff training, particularly with regard to data security generally. They may fully come on board only once they see tangible signs of progress. You should in any case put the following measures in place unless you already have them:

1. A secure area for your servers and for any paperwork your customers provided. This implies access control on a need-to-know basis to protect the information against loss, damage, and theft.

2. A protocol for storage media and record disposal when you no longer require them or something supersedes them. You are the custodian of other people?s information and they deserve nothing less.

3. Procedures to secure customer data on employee mobile devices and computers: This must extend to work done at home, at consultant sites, and by remote workers.

4. Secure configuration of all existing and new hardware to minimise vulnerability and storage media crashes. These quality assurance measures should extend to removable media and remote backups.

So Is This the Worst of the Pain?

We are at the heart of the matter, although there is more to tell in future articles. You may be almost there, if you already protect your proprietary information. If not, you may have key company information already open to malware.We should welcome the EU General Data Protection Regulation as a notice that it is time to face up to the challenges of data protection and security generally. The age of hacking and malware is upon us. The offender could be a disgruntled employee, or your competition just down the street. It is time to take precautions.

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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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