Uncategorized

1005/2016

The steps to predictive maintenance

By |May 10th, 2016|Categories: Uncategorized|

Predictive maintenance is almost all about data, software, etc. and is therefore for many maintenance departments very far from their natural habitat. This scares off many, but in reality it shouldn’t. Modern businesses can no longer function with hard walls between departments. What’s important is that every department knows how what they are doing influences other departments’ work. This also means that CIO’s have to be more business experts than ICT experts. Here’s a quick […]

2804/2016

Your data might not be your data.

By |April 28th, 2016|Categories: Uncategorized|

Previous Predikto bloggers have emphasized the centrality of data in the successful adoption of predictive maintenance initiatives.

Leveraging the full range of equipment operation, environmental and maintenance data, operators can better align the “right” resources to the appropriate mission requirements and/or environmental conditions, and more easily transition to effective implementation of condition-based maintenance programs, which can reduce the financial impact of scheduled maintenance as well as minimize the “fire drills” associated with an unplanned performance degradation […]

2704/2016

A scarce resource

By |April 27th, 2016|Categories: Uncategorized|

McKinsey, in this study – http://www.mckinsey.com/business-functions/business-technology/our-insights/big-data-the-next-frontier-for-innovation – foresees data science jobs in the United States to exceed 490,000 by 2018. However, only 200,000 data scientists are projected to be available by then… Globally, by the same time this demand is projected to exceed supply by more than 50 percent.
At the same time, 99% of CEO’s indicate that big data analytics is important to their strategies (KPMG study). Beyond big data analytics, the rise of predictive analytics (PdA) creates the need […]

2004/2016

What about unplanned?

By |April 20th, 2016|Categories: Industries, Internet Of Things (IoT), Predictive Analytics, Predictive Maintenance, Uncategorized|

Everybody’s looking at process inefficiencies to improve maintenance but there’s lower hanging – and bigger – fruit to focus on first: unplanned events!
Maintenance has pretty simple goals; guarantee and increase equipment uptime and do so at the lowest possible cost. Let’s take a quick look at how unplanned events influence these three conditions.
Guarantee uptime
When production went through the evolutions of JIT (Just In Time), Lean,… and other optimisation schemes, schedules got ever tighter and deviations […]

404/2016

What’s happening to my train (and by extension, any equipment)?

By |April 4th, 2016|Categories: Uncategorized|

At regular intervals, company managers are asked to provide their forecast for the next period(s). While some dread this exercise – and it is a tough ask for them to put together this forecast – others can almost pull the numbers on request. Why? Because they have good visibility on current and past performance, on current and past conditions and are well informed on forecasted evolutions in the market. Why is that so difficult for […]

1403/2016

Industry 4.0 in a nutshell

By |March 14th, 2016|Categories: Uncategorized|

In a nutshell? It’s not about the machines! It’s about what ties them together.
The whole Industry 4.0 movement is drawing a lot of attention – and rightly so! Business leaders and policy makers alike underline the importance of the fourth industrial revolution to maintain some sort of a balance in a globally competing world. While for some businesses it makes perfect sense to compete on price alone, for others the focus on value (functionality, form […]

303/2016

Maintenance optimization goals

By |March 3rd, 2016|Categories: Uncategorized|

When asked about optimising maintenance, different angles can be explored.
First, maintenance optimization can target the outcome; i.e. better maintenance. Better maintenance should result in less failures between maintenance intervals. Additionally, better maintenance can target lower costs for the same outcome. Business process optimization is the usual approach to achieving these targets.

Today, I’d like to highlight two aspects of maintenance optimization that are at the heart of predictive analytics projects for maintenance. The first, and typically […]

2602/2016

Part removal economics

By |February 26th, 2016|Categories: Uncategorized|

You just installed the latest and greatest in predictive analytics and out come the first results. Now what?
Interpretation of the forecast is key. First and foremost it is crucial to understand that no two forecasts mean the same. Let’s take a couple of examples to see how specific forecasts could mean very different things to your operations. Parts A and B are both forecasted to fail with a equal likelihood over the next two weeks. […]

1502/2016

To wait or not to wait, that’s the question

By |February 15th, 2016|Categories: Uncategorized|

With everybody talking about predictive analytics, what should I do as manager of an aftermarket division?
Before launching any project, one should carefully evaluate one’s current and projected future position with regards to aftermarket services; are these critical to your competitive offering or not? Some companies choose to sell their goods and leave aftermarket services to third parties – i.e. the traditional automotive business model. Fair enough although even traditional approaches get challenged regularly – either […]

2601/2016

Help, my data’s all over the place!

By |January 26th, 2016|Categories: Uncategorized|

One of the main problems with any corporate IT project is getting all the data to the system. Data is generated in a multitude of systems and stored in just as many places and formats. Some data gets duplicated and/or transformed before stored in other systems. Rarely do even corporate IT departments know what is stored, where and in what format. Sometimes data is stored and nobody seems to know what it means… 
I visited a […]