10 techniques from Design for Manufacturing that could apply to Data Center Operations

Design for Manufacturing is an old concept.  The ideas of Design for Manufacturing have been applied to construction in the Lean Construction ideas.

Lean Design and Construction is a production management-based approach to project delivery -- a new way to design and build capital facilities. Lean production management has caused a revolution in manufacturing design, supply and assembly. Applied to project design and delivery, Lean changes the way work is done throughout the delivery process. Lean Construction extends from the objectives of a lean production system - maximize value and minimize waste - to specific techniques, and applies them in a new project delivery process. As a result:

Data Centers are some of the most expensive construction space, consuming a large amount of power and hosting equipment well over the cost of the building.  Over the life of a building many systems may be completely replaced which multiplies the ease or pain of install as you remove the old equipment and install the replacement.

Wouldn't it be great if data centers were designed for repair and replace type of operations.

Here is Audi rebuilding a Le Mans car in 15 minutes.

Here are Ten Guidelines for Design for Manufacturing that will give you an idea of the details that need to be addressed if you want to solve the operations issues.

 

1. Reduce the total number of parts.  The reduction of the number of parts in a product is probably the

best opportunity for reducing manufacturing costs. Less parts implies less purchases, inventory, handling,

processing time, development time, equipment, engineering time, assembly difficulty, service inspection,

testing, etc. In general, it reduces the level of intensity of all activities related to the product during its

entire life. A part that does not need to have relative motion with respect to other parts, does not have to

be made of a different material, or that would make the assembly or service of other parts extremely

difficult or impossible, is an excellent target for elimination. Some approaches to part-count reduction

are based on the use of one-piece structures and selection of manufacturing processes such as injection

molding, extrusion, precision castings, and powder metallurgy, among others.

2. Develop a modular design.  The use of modules in product design simplifies manufacturing activities

such as inspection, testing, assembly, purchasing, redesign, maintenance, service, and so on. One reason

is that modules add versatility to product update in the redesign process, help run tests before the final

assembly is put together, and allow the use of standard components to minimize product variations.

However, the connection can be a limiting factor when applying this rule.

3. Use of standard components.  Standard components are less expensive than custom-made items. The

high availability of these components reduces product lead times. Also, their reliability factors are well

ascertained. Furthermore, the use of standard components refers to the production pressure to the

supplier, relieving in part the manufacture’s concern of meeting production schedules.

4. Design parts to be multi-functional.  Multi-functional parts reduce the total number of parts in a

design, thus, obtaining the benefits given in rule 1. Some examples are a part to act as both an electric

conductor and as a structural member, or as a heat dissipating element and as a structural member. Also,

there can be elements that besides their principal function have guiding, aligning, or self-fixturing features

to facilitate assembly, and/or reflective surfaces to facilitate inspection, etc.

5. Design parts for multi-use.  In a manufacturing firm, different products can share parts that have been

designed for multi-use. These parts can have the same or different functions when used in different

products. In order to do this, it is necessary to identify the parts that are suitable for multi-use. For

example, all the parts used in the firm (purchased or made) can be sorted into two groups: the first

containing all the parts that are used commonly in all products. Then, part families are created by defining

categories of similar parts in each group. The goal is to minimize the number of categories, the variations

within the categories, and the number of design features within each variation. The result is a set of

standard part families from which multi-use parts are created. After organizing all the parts into part

families, the manufacturing processes are standardized for each part family. The production of a specific

part belonging to a given part family would follow the manufacturing routing that has been setup for its

family, skipping the operations that are not required for it. Furthermore, in design changes to existing

products and especially in new product designs, the standard multi-use components should be used.

6. Design for ease of fabrication.  Select the optimum combination between the material and fabrication

process to minimize the overall manufacturing cost. In general, final operations such as painting,

polishing, finish machining, etc. should be avoided. Excessive tolerance, surface-finish requirement, and

so on are commonly found problems that result in higher than necessary production cost.

7. Avoid separate fasteners.  The use of fasteners increases the cost of manufacturing a part due to the

handling and feeding operations that have to be performed. Besides the high cost of the equipment

required for them, these operations are not 100% successful, so they contribute to reducing the overall

manufacturing efficiency. In general, fasteners should be avoided and replaced, for example, by using tabs

or snap fits. If fasteners have to be used, then some guides should be followed for selecting them.

Minimize the number, size, and variation used; also, utilize standard components whenever possible.

Avoid screws that are too long, or too short, separate washers, tapped holes, and round heads and flatheads

(not good for vacuum pickup). Self-tapping and chamfered screws are preferred because they improve

placement success. Screws with vertical side heads should be selected vacuum pickup.

8. Minimize assembly directions.  All parts should be assembled from one direction. If possible, the best

way to add parts is from above, in a vertical direction, parallel to the gravitational direction (downward). In

this way, the effects of gravity help the assembly process, contrary to having to compensate for its effect

when other directions are chosen.

9. Maximize compliance.  Errors can occur during insertion operations due to variations in part dimensions

or on the accuracy of the positioning device used. This faulty behavior can cause damage to the part and/or

to the equipment. For this reason, it is necessary to include compliance in the part design and in the

assembly process. Examples of part built-in compliance features include tapers or chamfers and moderate

radius sizes to facilitate insertion, and nonfunctional external elements to help detect hidden features. For

the assembly process, selection of a rigid-base part, tactile sensing capabilities, and vision systems are

example of compliance. A simple solution is to use high-quality parts with designed-in-compliance, a

rigid-base part, and selective compliance in the assembly tool.

10. Minimize handling . Handling consists of positioning, orienting, and fixing a part or component. To

facilitate orientation, symmetrical parts should be used when ever possible. If it is not possible, then the

asymmetry must be exaggerated to avoid failures. Use external guiding features to help the orientation of

a part. The subsequent operations should be designed so that the orientation of the part is maintained.

Also, magazines, tube feeders, part strips, and so on, should be used to keep this orientation between

operations. Avoid using flexible parts - use slave circuit boards instead. If cables have to be used, then

include a dummy connector to plug the cable (robotic assembly) so that it can be located easily. When

designing the product, try to minimize the flow of material waste, parts, and so on, in the manufacturing

operation; also, take packaging into account, select appropriate and safe packaging for the product

The next big thing in data centers is low maintenance

Saving energy in the data center is old news.  The smart companies can easily achieve 1.2 PUE or lower.  They are being careful with their capital costs as well to build data centers.  More companies are looking at the data center holistically.

Google built its first data center in 2006.

Google is proud to call Oregon home to Google's first owned and operated data center.

We opened our data center at The Dalles in 2006—investing $600 million in the facility and establishing a long-term commitment to the region and state. Now a fully operational site, we've created over 80 full-time jobs on site, and we work hard to support the communities in which our employees live and work.

After 7 years of operation and opening another thirteen data centers, Google has plenty of data to make the next move to design data centers for low maintenance.  Google has made no announcement of this idea focusing on maintenance.  

I am making this statement because it is the logical progression in the life cycle of running efficient operations.

First phase is you want the facility to work.

Second phase you want to make sure it is available and performs.

Third phase is you drive efficiency and cost reduction while accounting for functionality, availability or performance.

The fourth phase is maintenance affects all these factors, but many times low maintenance was not designed into the data center.  You can only reduce maintenance costs so far.  Think of the per mile maintenance costs of your Ferrari vs. your Toyota.  Audi wins Le Mans because the cars are design for maintenance events.

With years of operation data, you can now design for operations and maintenance.  Low maintenance should use less resources which is greener and ideally lower cost.

CloudPhysics uses a modeling, simulation, data approach to Operate Virtualized Infrastructure

GigaOm's Barb Darrow reports on CloudPhysics.

Exclusive: CloudPhysics seeks to nip VMware deployment issues in the bud

 

1 HOUR AGO

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John Blumenthal
SUMMARY:

CloudPhysics says its Knowledge Base Advisor about VMware deployments is just first step in it becoming the New Relic of VMware operations.

...

“We continuously analyze your operational data and relate it to a massive index of knowledge base articles and other unstructured data we manage.  We call this a ‘relevance matching engine’ for finding the exact vendor issue alerts personalized for specific components and configurations in your environment,” he said.

CloudPhysics has focused on managing VMs, but many of the ideas are ones to consider in the Physical data center.  This page is one I liked.

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 It will be interesting to see how CloudPhysics develops as they identify more areas of inefficiencies.

We think datacenters of today are woefully inefficient, both in terms of machine and human cost. Often, issues are discover when it is too late, requiring emergency fire drills to resolve. We understand these issues, and the dynamic nature of your virtualized environment. You demand deeper visibility into your datacenter, and we provide that by tapping into what we call ‘collective intelligence.’

Long Term Customer Satisfaction in a Data Center who are you focused on?

Here is a question.  Who are you focused on if you want to achieve long term customer satisfaction of a Data Center build or lease?

Most would focus on the decision makers of the initial project.  But, too many times the people who start the project are not the ones who live with the decision made.  And worse case the team making the initial data center choices are optimizing for their budget and internal visibility vs. the long term cost, operations, and availability of the data center.  Any problems in operations can easily be diverted by saying that the operations team is at fault, and the design was perfect.

I always watch out for those who make it seem like their designs are perfect and don't have issues.  Any good design has trade-offs.  And, some of those trade-offs may not be the ones you may make.  A high availability data center will have higher costs to build and operate.  An energy efficient design may have higher inlet temperatures which makes it hard for legacy systems to be accommodated.  There is no perfect car.  Especially for everyone.  There are no perfect data centers.  People are most proud of their acquisition within the first months and they talk about how it is the best data center as if they are Donald Trump showing his latest building.  After a year the novelty wears off.  

Except…  There are a set of people that will show off their data center years after it was commissioned.

Who?  The operations team who take pride in their work.  Those who had an active role during construction and have a loud voice in operations are way more likely to be proud of their data centers.  These are the people who will tell their peers about the vendors used, procedures, best practices, and the issues they have run into.  

If people spend more time focusing on the data center operations team then there is a good chance you'll increase customer satisfaction.

In the data center industry the big are getting bigger.  The small are folding their operations into the cloud.  The middle is silent as they get squeezed in markets, margin, and find it hard to compete. In this shift, the role of data center operations will grow.

Lesson from Successful Brewery to Data Center Operations, Lean Principles

I was catching up with a data center operations executive drinking some good Black Raven Beer in a Deschutes Brewery Growler in Deschutes Imperial Pints.

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My son and I visited the Deschutes brewery and on the wall is a plaque with the following Lean Principles.

Lean Principles

- Do our best and next time do it better

- Focus on processes and systems as well as results

- Problems are opportunities

- Standardization allows creativity

- All work leads to damn tasty beer

Lean Rules

- Don’t take yourself too seriously

I don't think I've seen a sign like this in a data center, but I have seen beer. :-)