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11 comments

Engineering Efficiency/Effectiveness-Key Metrics

Posted April 10, 2013 1:00 AM by larhere

Companies or organizations often misuse Engineering resources at the expense of accomplishing the goals for these technical resources. Measurement is key to identification of the activities and limit of the "leaks" affecting the department. It has been said "you can only manage what you can measure" and measurement is key to an efficient/effective engineering department or organization.

As a guiding principle, application of metrics should embody these characteristics:

  • simple to record and track; minimize the total number of measures
  • meaningful in relation to the work at hand and practical
  • related to or in support of the business goals
  • kept active and accurate (revise as required)
  • available at all times to key personnel responsible (post or distribute)
  • reviewed periodically with all of the personnel (obtain feedback)
  • management interest, involvement and support in achieving results

The metrics applied should be tailored to the activity or department and documented using a meaningful frequency. Many of the metrics may stand alone or be plotted against hours, orders or project elements. For an on-going effort such as backlog or changes per a base number of features, a rolling average may be desirable in addition to a single time related value.

In other words, focus on the issues important to the business and activities key to success. Initiate one or two metrics per area of interest or product type. Begin with a few immediately and grow into the desired full set.

The following list is broader than needed but it provides an indication of the types of metrics that can be applied. This list assumes a business that supplies a product or service per customer request or potential multiple selection of model sizes or custom features.

STAFFING:

  • Hours spent (or % of total) for submittals, sales orders, product development, manufacturing support, change, or "other" support.

ORDERS:

Total number of active orders per product group over time

  • Number of submittals in process vs active orders (backlog)
  • Schedule performance, actual vs estimated, or % on time

SUBMITTALS:

  • Estimated hours per order vs actual hours per order
  • Number of sales orders in process and hours required
  • On time (schedule) release to next group (release to design)
  • Average drafting hours per order or per estimate of project
  • Available man-hours per product vs backlog hours per product
  • Number of changes: pre and post release per order or project

DESIGN/DRAFTING:

  • Estimated hours per order vs actual hours per order or project
  • Number of sales orders in process and hours required
  • On-time (schedule) release to production (days missed included)
  • Average drafting hours per order or per project element
  • Available man-hours per product vs backlog hours per product
  • % errors vs total number of drawings per order, time period, project
  • Number of changes pre and post release (per order, project, etc.)

DESIGN/ENGINEERING:

  • Proposals won vs total submitted
  • Estimated hours per order, project vs actual expended
  • Number of sales orders in process and hours required
  • Available man-hours per product vs backlog hours per product
  • Number of changes, pre and post release
  • % of corporate revenue from products developed in last 4 years

ENGINEERING/PRODUCT QUALITY:

  • Warranty expense as a % of shipped $
  • Field or customer complaints vs total items shipped
  • Retrofit or rework $ as % of shipped $
  • Engineering hrs addressing complaints vs total available
  • Product or component MTBF (mean time between failures)

CR4 would like to thank Bob Cox of GEA Consulting, for contributing this blog entry, which originally appeared here

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#1

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/10/2013 4:14 AM

Are there really any anuses large enough to accommodate this level of anality?

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#2

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/10/2013 4:40 AM

You can only manage what you measure.
But there's an old saying up North.
You don't fatten a pig by weighing it.

The key is in defining the word 'key'

We've had irritating BSI auditors persuading us to measure and record all sorts of data (note I don't use the word 'metrics' <shudder> ) to no purpose what so ever.
Complete waste of time and effort just to make an auditor feel good.
'Key Performance Indicators'... yeah wha'eva
Del

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#3
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Re: Engineering Efficiency/Effectiveness-Key Metrics

04/10/2013 4:48 AM

Would the word "analysis" have been better?

Plus ça change, plus c'est la même chose.

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#4

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/10/2013 4:58 AM

"The three most important things in any business are cashflow, cashflow and cashflow" - Anon.

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#5

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/10/2013 7:04 AM

Tough audience eh?
Del

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#6
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Re: Engineering Efficiency/Effectiveness-Key Metrics

04/10/2013 7:35 AM

Apparently an immoderator is active. Merph or somebody is now playing with the voting system.

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#7

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/11/2013 10:30 AM

Dear Mr. larhere

Good Attempt.

The following is mentioned by you under the heading

ENGINEERING/PRODUCT QUALITY:

  • Warranty expense as a % of shipped $
  • Field or customer complaints vs total items shipped
  • Retrofit or rework $ as % of shipped $
  • Engineering hrs addressing complaints vs total available
  • Product or component MTBF (mean time between failures)

One Important item, in my opinion, is NOT included in your analysis, and I feel it should be included.

QUALITY CONTROL - Under this caption, the components that are rejected at the RAW-MATERIAL STAGE INWARD, and finished components rejected at the intermediate/stage inspection and or end product QUALITY CONTROL. The more the rejection, the more the delay, and difficult is the cost control.

This plays a vital role in the Delivery Schedule

DHAYANANDHAN.S

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#8

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/11/2013 12:36 PM

It seems like a good idea to collect data to provide these company performance "metrics", but after the first round of personnel reviews when the "metrics" are used to justify the paltry or non-existent raises the data becomes skewed as the data collectors (or data sources) try more to make their numbers look good than work to make the entire organization successful.

There is a flaw in trying to manage a business solely by what can be measured. I have seen this type of management immerse themselves in the data and think they are being successful leaders because they have "good metrics" while the talent around them falls away because the less tangible facets of leadership atrophy or are not present.

Yes, management needs measurable indicators of business success, but I think you should be careful how much focus you put on the data vs. having vision and leadership skills.

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#10
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Re: Engineering Efficiency/Effectiveness-Key Metrics

04/13/2013 11:37 AM

I totally agree. The biggest problem (to me anyway) is that the people doing the measuring don't understand what they are measuring. They can't tell what is truly important and what is trivial. They set arbitrary deadlines, then reward or punish based upon artificial thresholds. Add ego to the mix and you get a disruptive environment that hurts business performance. It insults and chases talent away.

As an example, we had an "efficiency expert" audit our engineering department. He was not trained in engineering, and acted like he had little respect for it. He convinced management (also not engineers) that drawings should take a certain amount of time, and never more than a maximum time, based upon "industry averages". He didn't prove those "industry averages" and he also did not account for our varying project sizes. So his numbers were arbitrary and useless. Yet management tried to enforce his numbers. A large project came along, and despite many unpaid overtime hours we couldn't achieve the expert's numbers. But we did get the project done to the customer's satisfaction and within budget. Still we got penalized. So several good people found other jobs. Management exasperated the problem by not replacing the people who left, increasing the workloads on the people who remained, and refusing to consider that there might be a problem with the expert's numbers (or their implementation of his suggestions). The net effect was the company struggled to compete.

Engineers can be annoyed by management tasks since they are outside our usual interest, but good management is necessary for a healthy business. So there's always going to be some friction. But unless your core business is bean counting (and not engineering) then you'd best be careful what and how you measure, and then apply your theories without shooting yourself in the foot.

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#9

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/11/2013 2:25 PM

I once had a job where getting good metrics let us know ahead of time that we were going to be told that there was no money for raises.

On the other hand, bad metrics made us feel better because we knew we probably would get a good raise but we where being given bad metrics to condition us to fall for the good metrics trick next year when we would not get any money.

I had another job where I would get into hot water because I though that the criteria for major and minor production errors should be the same each week. I got so tired of management rearranging minor and major errors each week that I quit classifying production errors. It wasn't long until the weekly Key Performance Metrics (KPM) reports went away.

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#11

Re: Engineering Efficiency/Effectiveness-Key Metrics

04/14/2013 1:22 PM

It costs money to make money, but when money is used to further try to increase profits, profits start to diminish as management tries to defend their high flying solutions, by bringing in "experts" they think can increase the bottom line. They are trying to fix something that ain't broken. Those "experts" don't work for nothing; they make big bucks. Big business works exactly like government. Squeezing the last bit of juice out of a lemon has always been the primary goal of big business.

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