With data center space an essential component to everyday business and personal functions, the demand for data center construction has continued to skyrocket. The ongoing global supply chain crisis has presented significant challenges to meeting this demand. A lack of raw material inventory at manufacturing facilities, coupled with the continuing labor shortage, has resulted in supply chain delays hitting the construction industry particularly hard.
Like in every market sector, material delays have been unavoidable in data center build-outs. But unlike other sectors, the need for fast-paced schedules is extremely critical. In addition, data centers face unique supply chain issues, because they mostly require major equipment, as opposed to paint or drywall that is needed for traditional interior build-outs. The industry is now seeing severe delays in the manufacturing and delivery of nearly every piece of critical equipment and materials.
The result has been a significant increase in the lead times of deliveries to jobsites. The high quantity of orders being placed for critical equipment is putting an even greater strain on the construction industry to meet the aggressive schedules of data center clients.
What’s the solution?
Because data center space is such a critical component of our daily lives, slowing down the construction process is not a viable option. The planning of all data center construction projects needs to start as early as possible. Early planning allows material and equipment procurement to be predicted and worked into a project’s construction schedule, decreasing the likelihood of delays once the project begins.
Data center construction is especially unique due to the “speed to market” ideology. What this means is in a specific market, whether it’s in Chicago, Virginia or any other data center hot spot, there are many firms working toward the same goal. Getting a client’s facility operational quickly to accommodate a lease will help them secure a deal over a competitor. This allows them to profit sooner. Building a data center on schedule takes careful planning, both short and long term.
A best practice for general contractors is to engage with data center clients and thoroughly understand their vision for current and future projects. This allows material and equipment quantities required for these build-outs to be evaluated. Once quantities are established, project teams can provide current lead times and associated pricing. This information can be compared with the master schedule and clients can be advised on when to place an order, enabling them to stay on schedule.
If the client’s vision consists mainly of future projects, the project team should discuss if they should order the equipment for these projects immediately to avoid delivery delays. General contractors can help examine all factors of the project, and the pros and cons of different solutions to supply chain issues. Factors data center owners should consider include:
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How long will equipment ordered in advance need to be stored, and how much will it cost to store it?
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Will the price of the equipment increase if ordering is delayed?
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Will there be more supply chain issues in the future?
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Are the client’s data centers similar enough across all of their markets to take this approach?
Working with clients to make decisions with a big picture lens can be one of the most useful steps in making their data centers operational as quickly as currently possible.
Human error
Unfortunately delays in receiving raw materials are not the only contributing factor to supply chain issues. Human error, especially when fabricating the complex equipment that data centers demand, is common. To decrease the likelihood of human error, members of the project team can visit factories during the manufacturing process to check on progress. This will ensure the equipment is being built per the approved shop drawings and meets the design specifications. If the team finds errors, they can work with the manufacturers to develop a plan to take corrective action as soon as possible. The main goal of a correction plan is to prevent shipping delays. While this isn’t always possible, especially when additional long lead materials are needed, it still prevents the scheduling impact that would occur if the incorrect equipment arrived on-site.
It’s also important to catch human errors during pre-manufacturing. Before reaching the end user, the product has to go through each manufacturer’s process of approving shop drawings. If there is even a typo in one of these steps, the product’s quality can be affected or the delivery date can be miscommunicated. Best practice is for the project team to take ownership of monitoring the equipment through the entire supply chain.
Ensuring your project is completed on schedule
Supply chain issues and labor shortages have made it challenging to complete schedules on time. The main place project teams can control adjustments is in the field. After a major delivery delay, workers in the field can attempt to stay on schedule by evaluating an increase in trade power on-site. This can be evaluated based on the following criteria:
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Days worked
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Hours worked per day
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Crew size
In addition to these items, the cost versus benefit against productivity and safety can be evaluated. Because it has been shown that tradespeople typically start to lose productivity after 10 hours, it is recommended to avoid working 12-hour days if at all possible. Additionally, data shows that longer hours result in an increased risk of safety incidents. Based this criteria, it should be determined which work schedule is best for each project. This can be six 10 hour days, five 10 hour days and one 8 hour day, or two different crews working two separate 8-hour shifts per day.
While supply chain issues have forced many construction projects to adjust their timelines, the constant demand for more corporate data center space doesn’t allow for this kind of flexibility. It is essential to bring data centers to market quickly. Using top-tier practices ensures there is no down time once a facility is operational. It is important to constantly evaluate best practices in order to bring innovative solutions to the table when a data center client needs them most. Even during a supply chain crisis