Posted on 10th May 2018
The traditional approach to warehouse storage design, whether it?s a new building or an extension to an existing facility, is to build the warehouse to the sizes specified by the architect or consultant based on a general rule of thumb.
Once these are agreed, the client then looks at bringing in a racking solutions company and the forklift to discuss the internal operations.? Depending on the client and their position in the market, the forklifts contract may already be in place with an existing agreement with a supplier who may try to supply more of the same.
The combination of these two factors will have an enormous bearing on the racking design and the potential capacity of your warehouse and could quite literally be the difference between creating thousands of additional pallet positions and save you tens of thousands of pounds.
Unfortunately, many projects treat these factors with a silo mentality, ironically with the aim of saving money.? With a little more discussion between all of the parties at an early stage, businesses could release the true potential of their warehouse.
But what is the real impact of building design and forklift specification on the racking.
If the primary purpose of a warehouse facility is to store products, it is vital that you look at the racking design in tandem with the overall building design. Making the building shell marginally too small could prevent an additional bay of racking from being installed.
Whilst an extra bay of racking sounds minimal in the grand scheme of things, consider this.? If each bay of racking contains 4 pallets and there are 5 beam levels, that?s 20 pallet positions. Now if there are 100 runs of pallets, that?s an extra 2000 pallet positions.
The specification of the forklift will also play a major role in determining the overall capacity and efficiency of the racking solution. The first thing the forklift specification will impact on is the required aisle width between the racking uprights.
So for example, using existing forklifts which are design to suit standard adjustable pallet racking will immediately prevent the specification of narrow aisle racking and potentially drive in.? The physical reach of the forklift will also determine how high the racking can go. A forklift with a reach of 3 metres will clearly be unable to place a pallet on a beam which is 4 metres high.
By designing the racking in conjunction with the specification of the forklift will allow you to explore the full range of alternatives to maximise the cube.
Every project has its limitations and constraints but the secret to successful project management is to attempt to remove as many as possible prior to the start date.
By working with us at the earliest stage possible, we can assist you to max your cube by providing you with the optimum design which looks to maximise the capacity in the smallest footprint whilst minimising the long terms costs.
By understanding your SKUs, stock movements and products being stored we can work with all the partners involved in the project to deliver the most effective solution.
If you want to maximise your warehouse space through the use of second hand or new pallet racking, please don?t hesitate to get in touch with us on 0800 345 7088 or send an email to sales@advanced-handling.co.uk
Make sure you follow?#TeamAdvanced?on Social media for all our latest news and offers.
Like us on?Facebook
Follow us on?Twitter
Connect with us on?LinkedIn
Subscribe to Our?YouTube?channel
Follow us on?GooglePlus
Read our other blogs on?Medium
Follow us on?Instagram
Sign up to our newsletter to receive our latest offers
Thanks for subscribing
Site designed & developed by hush digital.
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
CookieLawInfoConsent | 1 year | Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
_ga | 2 years | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. |
_ga_FV69LKQH6D | 2 years | This cookie is installed by Google Analytics. |
_gat_gtag_UA_18511543_7 | 1 minute | Set by Google to distinguish users. |
_gat_UA-18511543-7 | 1 minute | A variation of the _gat cookie set by Google Analytics and Google Tag Manager to allow website owners to track visitor behaviour and measure site performance. The pattern element in the name contains the unique identity number of the account or website it relates to. |
_gcl_au | 3 months | Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services. |
_gid | 1 day | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
Cookie | Duration | Description |
---|---|---|
IDE | 1 year 24 days | Google DoubleClick IDE cookies are used to store information about how the user uses the website to present them with relevant ads and according to the user profile. |
test_cookie | 15 minutes | The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies. |
Cookie | Duration | Description |
---|---|---|
abGiDEjyIrhTfKS- | 1 day | No description |
OzMIdujHg-heNkw | 1 day | No description |
thirdPartyCookiesEnabled | 1 day | No description available. |