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.

Find out more about our Quality Assurance services in the following pages:

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Field Service Organisations should use Digital Forms

For many Organisations, making use of paper based forms, is a common practice and method for collecting data and recording transactions. Whether it be for producing Quotations, Invoices or even getting sign off on completed jobs.

Paper based forms and documents have been the main stay of office communication and productivity for over 200 years. Paper-based forms are used to create anything from Invoices, Receipts, Purchase Orders, Contracts to the humble internal memo!

Paper-based forms radically improved productivity, efficiency and compliance by enabling people to create paper based instructions and enabling others to add additional information as required.

Over the past 3 decades or so, modern business environments have gradually been evolving towards the concept of the Paperless Office, resulting in the humble Paper based document migrating to a Digital Counterpart. The ease of availability of various Word Processing and Spreadsheet software products and cheap and easy data storage capacity have resulted in the Proliferation of thousands if not millions of files and documents being stored somewhere on the Company’s IT infrastructure.

People often create Digital Templates of forms that may be printed off and supplied to staff to complete using Pen and Paper or electronically. The data collation and reporting is often process

Often when conducting Operational Reviews, it is commonly found that the processing and analysing paper based forms is the least productive, efficient and profitable areas of business, although it is often vitally important.

Benefits of using digital forms for data collection

The ability to collect and analyse data effectively is increasingly important to businesses. Companies gather, examine, process and build reports on large volumes of data. Traditionally, they have deployed mail surveys, telephone interviews, door-to-door interviews as methods to collect information. With the ongoing digitisation, these procedures have become old fashioned.The digital transformation is changing many business operations at a high speed and a great deal of processes that were executed manually are now accomplished using digital methods.

Technology has had a major impact on how to approach data research and has provided researchers new tools that have transformed and improved data collection and analysis. The pace of change requires companies to be able to react quickly and adapt themselves to changing demands from customers and market conditions.

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Data Replication

Medical Data Form

These days, not many companies can continue to operate once their entire computer system goes down. All the information needed in daily operations are stored in databases while the interfaces that make use of them all come in the form of software applications.

Software applications can be rapidly reinstalled and configured for as long as the necessary programs are available. Data, however, cannot be reconstructed as quickly even with hard copies available. It is therefore necessary to store your data in a replicated setup so that when one section goes down, operations can proceed without interruption.

For instance, if a category 5 hurricane renders your main office useless, you can simply rent workstations elsewhere, connect to the Internet and continue with your usual transactions for as long as data is readily accessible.

So how do we ensure the accessibility and reliability of your data? Here’s what we’ll do:

  • Activate data replication on your database management system. If your DBMS does not support replication, we’ll migrate all your data to one that does.
  • If absolutely necessary, we can allow modernised systems to run parallel to your legacy systems and prepare both for full modernisation when you’re ready.
  • Implement fail-over technologies where applicable to provide for automatic switching to a backup data server or network from one that has just failed.

We can also assist you with the following:

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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