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Necessary cookies help make a website usable by enabling basic functions like
page navigation and access to secure areas of the website. The website cannot
function properly without these cookies.

NameProviderPurposeExpiryTypeCookieConsent [x8]CookiebotStores the user's cookie
consent state for the current domain1 yearHTTP__cf_bm [x4]Hubspot
Podbean
National Instruments
TypeformThis cookie is used to distinguish between humans and bots. This is
beneficial for the website, in order to make valid reports on the use of their
website.1 dayHTTPAWSALB [x9]Blueconic
Pharmaceutical Manufacturing
Control Global
Plant Services
Chemical Processing
Iterate
Food Processing
Control DesignRegisters which server-cluster is serving the visitor. This is
used in context with load balancing, in order to optimize user experience. 6
daysHTTPAWSALBCORS [x10]Blueconic
Pharmaceutical Manufacturing
Control Global
Plant Services
Chemical Processing
Iterate
slimware.com
Food Processing
Control DesignRegisters which server-cluster is serving the visitor. This is
used in context with load balancing, in order to optimize user experience. 6
daysHTTP__VASTUtil__BrainsharkNecessary for the implementation of video-content
on the website.PersistentHTMLAI_bufferBrainsharkUsed in context with the
"AI_sentBuffer" in order to limit the number of data-server-updates (Azure).
This synergy also allows the website to detect any duplicate
data-server-updates. SessionHTMLAI_sentBufferBrainsharkUsed in context with the
"AI_buffer" in order to limit the number of data-server-updates (Azure). This
synergy also allows the website to detect any duplicate data-server-updates.
SessionHTMLai_sessionBrainsharkPreserves users states across page requests.1
dayHTTP_GRECAPTCHAGoogleThis cookie is used to distinguish between humans and
bots. This is beneficial for the website, in order to make valid reports on the
use of their website.179 daysHTTPrc::aGoogleThis cookie is used to distinguish
between humans and bots. This is beneficial for the website, in order to make
valid reports on the use of their website.PersistentHTMLrc::bGoogleThis cookie
is used to distinguish between humans and bots. SessionHTMLrc::cGoogleUsed in
context with video-advertisement. The cookie limits the number of times a
visitor is shown the same advertisement-content. The cookie is also used to
ensure relevance of the video-advertisement to the specific visitor.
SessionHTMLrc::eGoogleThis cookie is used to distinguish between humans and
bots. SessionHTMLincap_ses_# [x7]Pharmaceutical Manufacturing
Control Global
www.smartindustry.com
Plant Services
Chemical Processing
Food Processing
Control DesignPreserves users states across page
requests.SessionHTTPPHPSESSID [x7]Pharmaceutical Manufacturing
Control Global
www.smartindustry.com
Plant Services
Chemical Processing
Food Processing
Control DesignPreserves user session state across page
requests.SessionHTTPvisid_incap_# [x7]Pharmaceutical Manufacturing
Control Global
www.smartindustry.com
Plant Services
Chemical Processing
Food Processing
Control DesignPreserves users states across page requests.1
yearHTTPAWSELBPodbeanUsed to distribute traffic to the website on several
servers in order to optimise response times.SessionHTTPAWSELBCORS [x2]Podbean
AtlascopcoRegisters which server-cluster is serving the visitor. This is used in
context with load balancing, in order to optimize user experience. 1
dayHTTP_grecaptchaVeotagThis cookie is used to distinguish between humans and
bots. This is beneficial for the website, in order to make valid reports on the
use of their website.PersistentHTMLrc::d-#GoogleThis cookie is used to
distinguish between humans and bots. PersistentHTML__cfruid [x3]Control Global
Plant Services
js.leadin.comThis cookie is a part of the services provided by Cloudflare -
Including load-balancing, deliverance of website content and serving DNS
connection for website operators. SessionHTTPARRAffinitySameSiteisa.orgUsed to
distribute traffic to the website on several servers in order to optimise
response times.SessionHTTPembed/v3/counters.gif [x2]HubspotUsed to implement
forms on the website.SessionPixelJSESSIONIDNew RelicPreserves users states
across page requests.SessionHTTPCONSENT [x2]YouTubeUsed to detect if the visitor
has accepted the marketing category in the cookie banner. This cookie is
necessary for GDPR-compliance of the website. 2 yearsHTTPv1stDailymotionPending1
yearHTTPcookies.js_dtestTodayThis cookie determines whether the browser accepts
cookies.SessionHTTPcom.adobe.reactor.dataElementCookiesMigratedTodayUsed in
context with the cache-function on the website, facilitating data transfer
between Adobe DTM onto Adobe Launch. PersistentHTMLdebugTypeformThis cookie is
used to detect errors on the website - this information is sent to the website's
support staff in order to optimize the visitor's experience on the
website.PersistentHTMLwp_countryThe Washington PostDetermines where the user is
situated, in order to decide if the user is subjected under the GDPR or other
ePrivacy legislations.1 dayHTTPwp_gdprThe Washington PostDetermines whether the
user is located within the EU and therefore is subject to EU's data privacy
regulations. 1 dayHTTP

Preference cookies enable a website to remember information that changes the way
the website behaves or looks, like your preferred language or the region that
you are in.

NameProviderPurposeExpiryTypeCookieConsentBulkSetting-#CookiebotEnables cookie
consent across multiple websitesPersistentHTMLyt-player-bandaid-hostYouTubeUsed
to determine the optimal video quality based on the visitor's device and network
settings. PersistentHTMLloglevel [x3]www.smartindustry.com
Spotify
TEDMaintains settings and outputs when using the Developer Tools Console on
current session.PersistentHTMLgeoEditionNBC UniversalThis cookie is used to
determine what country the visitor comes from - This allows the website to set
the language accordingly, if possible. The information can be determined through
the visitor’s IP-address. 1 dayHTTPnext-i18nextTodayNecessary for maintaining
language-settings across subpages on the website.1 yearHTTPwp_devicetypeThe
Washington PostDetermines which device is used by the visitor - This allows the
website to adjust to the optimal resolution for that specific device.29
daysHTTPwp_geoThe Washington PostSaves the user's current geographical location
based on the user's IP address.1 dayHTTP

Statistic cookies help website owners to understand how visitors interact with
websites by collecting and reporting information anonymously.

NameProviderPurposeExpiryType_ga [x4]Google
event.smartindustry.com
Plant ServicesRegisters a unique ID that is used to generate statistical data on
how the visitor uses the website.2 yearsHTTP_gat [x4]event.smartindustry.com
GoogleUsed by Google Analytics to throttle request rate1 dayHTTP_gid [x4]Google
event.smartindustry.com
Plant ServicesRegisters a unique ID that is used to generate statistical data on
how the visitor uses the website.1 dayHTTPai_userBrainsharkUsed by Microsoft
Application Insights software to collect statistical usage and telemetry
information. The cookie stores a unique identifier to recognize users on
returning visits over time.1 yearHTTP__utm.gifGoogleGoogle Analytics Tracking
Code that logs details about the visitor's browser and
computer.SessionPixel__utma [x5]GoogleCollects data on the number of times a
user has visited the website as well as dates for the first and most recent
visit. Used by Google Analytics.2 yearsHTTP__utmb [x5]GoogleRegisters a
timestamp with the exact time of when the user accessed the website. Used by
Google Analytics to calculate the duration of a website visit.1
dayHTTP__utmc [x5]GoogleRegisters a timestamp with the exact time of when the
user leaves the website. Used by Google Analytics to calculate the duration of a
website visit.SessionHTTP__utmt [x5]GoogleUsed to throttle the speed of requests
to the server.1 dayHTTP__utmz [x5]GoogleCollects data on where the user came
from, what search engine was used, what link was clicked and what search term
was used. Used by Google Analytics.6 monthsHTTP_at.hist.#PodbeanUsed by the
social sharing platform AddThis to store the user's usage history of the AddThis
sharing widgetPersistentHTMLpersonalization_idTwitterThis cookie is set by
Twitter. The cookie allows the visitor to share content from the website on
his/her Twitter profile.2 yearsHTTP__utmvControl GlobalSaves user-defined
tracking parameters for use in Google Analytics.1
dayHTTPundefined [x2]WistiaCollects data on visitor interaction with the
website's video-content - This data is used to make the website's video-content
more relevant towards the visitor. PersistentHTMLwistia [x2]WistiaUsed by the
website to track the visitor's use of video-content - The cookie roots from
Wistia, which provides video-software to
websites.PersistentHTML_omappvpa.optmstr.comThis cookie is used to determine if
the visitor has visited the website before, or if it is a new visitor on the
website.11 yearsHTTPomVisitswww.smartindustry.comThis cookie is used to identify
the frequency of visits and how long the visitor is on the website. The cookie
is also used to determine how many and which subpages the visitor visits on a
website – this information can be used by the website to optimize the domain and
its subpages.PersistentHTMLomVisitsFirsta.optmstr.comThis cookie is used to
count how many times a website has been visited by different visitors - this is
done by assigning the visitor an ID, so the visitor does not get registered
twice.PersistentHTMLdmvkDailymotionRegisters statistical data on visitors'
behaviour on the website. Used for internal analytics by the website operator.
SessionHTTPSGoogleSets a unique ID for the session. This allows the website to
obtain data on visitor behaviour for statistical purposes.1
dayHTTP_dc_gtm_UA-#Plant ServicesUsed by Google Tag Manager to control the
loading of a Google Analytics script tag.1 dayHTTPs_viAdobe IncRegisters a
unique ID that identifies the user's device for return visits.2
yearsHTTPcneplayercountPlant ServicesUsed in conjunction with the website’s
video player. Contains the number of views for each video.99
daysHTTPvuidVimeoCollects data on the user's visits to the website, such as
which pages have been read.2 yearsHTTP_parsely_sessionTodayThis cookie is used
to collect data on visitor behavior on the website.1 dayHTTPcollectGoogleUsed to
send data to Google Analytics about the visitor's device and behavior. Tracks
the visitor across devices and marketing
channels.SessionPixelIXWRAPPERLiveRampIpTodayCollects anonymous data on the
user's visits to the website, such as the number of visits, average time spent
on the website and what pages have been loaded with the purpose of generating
reports for optimising the website
content.PersistentHTMLIXWRAPPERMerkleIpTodayCollects anonymous data on the
user's visits to the website, such as the number of visits, average time spent
on the website and what pages have been loaded with the purpose of generating
reports for optimising the website
content.PersistentHTMLajs_anonymous_idTypeformThis cookie is used to count how
many times a website has been visited by different visitors - this is done by
assigning the visitor an ID, so the visitor does not get registered
twice.PersistentHTMLjserrors/1/#New
RelicPendingSessionPixelb2ScorecardresearchPendingSessionPixel

Marketing cookies are used to track visitors across websites. The intention is
to display ads that are relevant and engaging for the individual user and
thereby more valuable for publishers and third party advertisers.

NameProviderPurposeExpiryTypeBCSessionID [x16]Blueconic
Food Processing
Control Design
Pharmaceutical Manufacturing
m072.smartindustry.com
Plant Services
Chemical Processing
Control GlobalGathers information on the user’s behavior, preferences and other
personal data, which is sent to a third-party marketing and analysis service,
for optimization of the website’s advertisement, analysis and general traffic.
SessionHTTPBCTempID [x15]Blueconic
Food Processing
Control Design
Pharmaceutical Manufacturing
m072.smartindustry.com
Plant Services
Chemical Processing
Control GlobalGathers information on the user’s behavior, preferences and other
personal data, which is sent to a third-party marketing and analysis service,
for optimization of the website’s advertisement, analysis and general traffic. 1
dayHTTPads/ga-audiencesGoogleUsed by Google AdWords to re-engage visitors that
are likely to convert to customers based on the visitor's online behaviour
across websites.SessionPixel__ptq.gifHubspotSends data to the marketing platform
Hubspot about the visitor's device and behaviour. Tracks the visitor across
devices and marketing channels.SessionPixel__hssc [x7]js.hs-banner.com
Hubspot IncCollects statistical data related to the user's website visits, such
as the number of visits, average time spent on the website and what pages have
been loaded. The purpose is to segment the website's users according to factors
such as demographics and geographical location, in order to enable media and
marketing agencies to structure and understand their target groups to enable
customised online advertising.1 dayHTTP__hssrc [x7]js.hs-banner.com
Hubspot IncCollects anonymous statistical data related to the user's website
visits, such as the number of visits, average time spent on the website and what
pages have been loaded. The purpose is to segment the website's users according
to factors such as demographics and geographical location, in order to enable
media and marketing agencies to structure and understand their target groups to
enable customised online advertising.SessionHTTP__hstc [x7]js.hs-banner.com
Hubspot IncCollects statistical data related to the user's website visits, such
as the number of visits, average time spent on the website and what pages have
been loaded. The purpose is to segment the website's users according to factors
such as demographics and geographical location, in order to enable media and
marketing agencies to structure and understand their target groups to enable
customised online advertising.1 yearHTTPhubspotutk [x7]js.hs-banner.com
Hubspot IncKeeps track of a visitor's identity. This cookie is passed to the
marketing platform HubSpot on form submission and used when de-duplicating
contacts.1 yearHTTPlocAddThisGeolocation, which is used to help providers
determine how users who share information with each other are geographically
located (state level).1 yearHTTPuvcAddThisDetects how often the social sharing
service, AddThis, encounters the same user.1
yearHTTP#-visitorIdTypeformPendingPersistentHTMLplayerconfigTEDUsed in
conjunction with video-advertisement - Detects where on the website the
video-advertisements should be displayed.PersistentHTMLtrFacebookUsed by
Facebook to deliver a series of advertisement products such as real time bidding
from third party advertisers.SessionPixel___utmv# [x7]Food Processing
Control Global
Pharmaceutical Manufacturing
www.smartindustry.com
Plant Services
Chemical Processing
Control DesignCollects information on visitor behaviour on multiple websites.
This information is used on the website, in order to optimize the relevance of
advertisement.1 dayHTTP__gpi [x6]Food Processing
Control Global
Control Design
Pharmaceutical Manufacturing
Plant Services
Chemical ProcessingCollects information on user behaviour on multiple websites.
This information is used in order to optimize the relevance of advertisement on
the website.1 yearHTTP___utmvc [x7]Food Processing
Pharmaceutical Manufacturing
www.smartindustry.com
Plant Services
Chemical Processing
Control Global
Control DesignCollects information on visitor behaviour on multiple websites.
This information is used on the website, in order to optimize the relevance of
advertisement.1 dayHTTP__gads [x7]GoogleUsed to register what ads have been
displayed to the user.1 yearHTTP_ccmsi [x2]BomboraUsed to track which users have
shown interest in what job postings. The cookie ensures that the most relevant
job postings are shown to the specific user.
PersistentHTMLcto_bundleTodayPresents the user with relevant content and
advertisement. The service is provided by third-party advertisement hubs, which
facilitate real-time bidding for advertisers.1 yearHTMLcto_pub_test_tldTodayUsed
to track visitors on multiple websites, in order to present relevant
advertisement based on the visitor's preferences. 1
dayHTTPcto_writeableTodayThis cookie is set by the audience manager of a website
in order to determine if any additional third-party cookies can be set in the
visitor’s browser – third-party cookies are used to gather information or track
visitor behavior on multiple websites. Third-party cookies are set by a
third-party website or company.1 dayHTTPGoogleAdServingTest [x7]GoogleUsed to
register what ads have been displayed to the user.SessionHTTPadEditionNBC
UniversalTargets ads based on behavioural profiling and geographical location.1
dayHTTPcgi-bin/gnThe Nielsen CompanyRegisters user data, such as IP address,
geographical location, visited websites, and what ads the user has clicked, with
the purpose of optimising ad display based on the user's movement on websites
that use the same ad network.SessionPixelA6SizmekRegisters data on visitors from
multiple visits and on multiple websites. This information is used to measure
the efficiency of advertisement on websites. 3
monthsHTTPServing/adServer.bsSizmekUsed to identify the visitor across visits
and devices. This allows the website to present the visitor with relevant
advertisement - The service is provided by third party advertisement hubs, which
facilitate real-time bidding for advertisers. SessionPixelu2SizmekCollects data
related to the user's navigation visits to webpages in order to assess the
efficacy of ads that are displayed on the website.3 monthsHTTPeng_mtTodayTracks
the conversion rate between the user and the advertisement banners on the
website - This serves to optimise the relevance of the advertisements on the
website. PersistentHTMLIXWRAPPERAdserverOrgIpTodayThis cookie is set by the
audience manager of the website to determine the time and frequencies of visitor
data synchronization - cookie data synchronization is used to synchronize and
gather visitor data from several websites.PersistentHTMLguest_idTwitterCollects
data related to the user's visits to the website, such as the number of visits,
average time spent on the website and which pages have been loaded, with the
purpose of personalising and improving the Twitter service.2
yearsHTTPattribution_user_idTypeformUsed in context with the website’s pop-up
questionnaires and messengering. The data is used for statistical or marketing
purposes.1 yearHTTP__atuvs [x2]AddThis
Pharmaceutical ManufacturingEnsures that the updated counter is displayed to the
user if a page is shared with the social sharing service, AddThis.1
dayHTTPnlbi_# [x7]Control Design
Pharmaceutical Manufacturing
www.smartindustry.com
Plant Services
Chemical Processing
Food Processing
Control GlobalPendingSessionHTTPxtcAddThisRegisters the user's sharing of
content via social media.1 yearHTTPtotalCallsBrainsharkUsed in context with
video-advertisement. The cookie limits the number of times a visitor is shown
the same advertisement-content. The cookie is also used to ensure relevance of
the video-advertisement to the specific visitor.
PersistentHTMLtotalCallsTimeoutBrainsharkUsed in context with
video-advertisement. The cookie limits the number of times a visitor is shown
the same advertisement-content. The cookie is also used to ensure relevance of
the video-advertisement to the specific visitor. PersistentHTMLIDEGoogleUsed by
Google DoubleClick to register and report the website user's actions after
viewing or clicking one of the advertiser's ads with the purpose of measuring
the efficacy of an ad and to present targeted ads to the user.1
yearHTTPr/collectGoogleThis cookie is used to send data to Google Analytics
about the visitor's device and behavior. It tracks the visitor across devices
and marketing channels.SessionPixeltest_cookieGoogleUsed to check if the user's
browser supports cookies.1 dayHTTPNIDGoogleRegisters a unique ID that identifies
a returning user's device. The ID is used for targeted ads.6
monthsHTTPpcs/activeviewGoogleUsed by DoubleClick to determine whether website
advertisement has been properly displayed - This is done to make their marketing
efforts more efficient. SessionPixel__atuvc [x2]Pharmaceutical Manufacturing
AddThisUpdates the counter of a website's social sharing features.1
yearHTTP_at.cwwPodbeanUsed by the social sharing platform
AddThisPersistentHTMLat-lojson-cache-#PodbeanUsed by the social sharing platform
AddThisPersistentHTMLat-randPodbeanUsed by the social sharing platform
AddThisPersistentHTMLVISITOR_INFO1_LIVEYouTubeTries to estimate the users'
bandwidth on pages with integrated YouTube videos.179
daysHTTPYSCYouTubeRegisters a unique ID to keep statistics of what videos from
YouTube the user has seen.SessionHTTPyt.innertube::nextIdYouTubeRegisters a
unique ID to keep statistics of what videos from YouTube the user has
seen.PersistentHTMLyt.innertube::requestsYouTubeRegisters a unique ID to keep
statistics of what videos from YouTube the user has
seen.PersistentHTMLyt-remote-cast-availableYouTubeStores the user's video player
preferences using embedded YouTube
videoSessionHTMLyt-remote-cast-installedYouTubeStores the user's video player
preferences using embedded YouTube
videoSessionHTMLyt-remote-connected-devicesYouTubeStores the user's video player
preferences using embedded YouTube
videoPersistentHTMLyt-remote-device-idYouTubeStores the user's video player
preferences using embedded YouTube
videoPersistentHTMLyt-remote-fast-check-periodYouTubeStores the user's video
player preferences using embedded YouTube
videoSessionHTMLyt-remote-session-appYouTubeStores the user's video player
preferences using embedded YouTube
videoSessionHTMLyt-remote-session-nameYouTubeStores the user's video player
preferences using embedded YouTube videoSessionHTMLfbssls_#StitcherCollects data
on the visitor’s use of the comment system on the website, and what
blogs/articles the visitor has read. This can be used for marketing purposes.
SessionHTML_bc_uuidBrightcoveUsed in context with video-advertisement. The
cookie limits the number of times a user is shown the same advertisement. The
cookie is also used to ensure relevance of the video-advertisement to the
specific user. 4191 daysHTTP_TEST_DailymotionCollects data on visitor
interaction with the website's video-content - This data is used to make the
website's video-content more relevant towards the visitor.
SessionHTTPinlined_view_idDailymotionRemembers the user's preferences when
playing embedded video content from DailyMotion. Also used to keep statistics of
user actions.PersistentHTMLstlastDailymotionCollects data on visitor interaction
with the website's video-content - This data is used to make the website's
video-content more relevant towards the visitor. PersistentHTMLtsDailymotionThis
cookie is necessary for the PayPal login-function on the website.1
yearHTTPusprivacyDailymotionDetects whether the user has checked the Do Not Sell
My Personal Information-button on the website. This feature is a part of the
CCPA. 1 yearHTTPELOQUAOracleRegisters a unique ID that identifies the user's
device upon return visits. Used for auto-populating forms and to validate if a
certain contact is registered to an email group.1 yearHTTPELQSTATUSOracleUsed to
auto-populate forms and validate if a given contact has subscribed to an email
group. The cookie is only set if the user allows tracking.1 yearHTTPIMRIDThe
Nielsen CompanyRegisters anonymised user data, such as IP address, geographical
location, visited websites, and what ads the user has clicked, with the purpose
of optimising ad display based on the user's movement on websites that use the
same ad network.1 yearHTTPSSCVERThe Nielsen CompanyRegisters anonymised user
data, such as IP address, geographical location, visited websites, and what ads
the user has clicked, with the purpose of optimising ad display based on the
user's movement on websites that use the same ad network.1
yearHTTPpxsidKickstarterRegisters data on visitor such as IP addresses,
geographical location and advertisement interaction. This information is used
optimize the advertisement on websites that make use of Rubicon
Project-services. SessionHTMLsailthru_pageviewsPlant ServicesSets a unique ID
for the visitor, that allows third party advertisers to target the visitor with
relevant advertisement. This pairing service is provided by third party
advertisement hubs, which facilitates real-time bidding for advertisers.1
dayHTTPsailthru_visitorPlant ServicesSets a unique ID for the visitor, that
allows third party advertisers to target the visitor with relevant
advertisement. This pairing service is provided by third party advertisement
hubs, which facilitates real-time bidding for advertisers.1
yearHTTPUIDScorecardresearchCollects information of the user and his/her
movement, such as timestamp for visits, most recently loaded pages and IP
address. The data is used by the marketing research network, Scorecard Research,
to analyse traffic patterns and carry out surveys to help their clients better
understand the customer's preferences.2 yearsHTTPsp_landingSpotifyUsed to
implement audio-content from Spotify on the website. Can also be used to
register user interaction and preferences in context with audio-content - This
can serve statistics and marketing purposes. 1 dayHTTPsp_tSpotifyUsed to
implement audio-content from Spotify on the website. Can also be used to
register user interaction and preferences in context with audio-content - This
can serve statistics and marketing purposes. 1 yearHTTPCOMPASSGooglePending1
dayHTTPBCZoneIDChemical ProcessingPresents the user with relevant content and
advertisement. The service is provided by third-party advertisement hubs, which
facilitate real-time bidding for advertisers.SessionHTMLbwidThe GuardianUsed to
implement blog or article content onto the website from other websites. This
implementation also allows the origin-website to track on the website. 1
yearHTTP_abcd#QzzrPendingPersistentHTMLTDIDThe Trade DeskRegisters a unique ID
that identifies a returning user's device. The ID is used for targeted ads.1
yearHTTPevents/1/#New RelicPresents the user with relevant content and
advertisement. The service is provided by third-party advertisement hubs, which
facilitate real-time bidding for advertisers.SessionPixeluidCriteoCollects
visitor data related to the user's visits to the website, such as the number of
visits, average time spent on the website and what pages have been loaded, with
the purpose of displaying targeted ads.1
yearHTTPlogMedia.netPendingSessionPixelS_#SizmekPending1
dayHTTPguest_id_adsTwitterPending2 yearsHTTPguest_id_marketingTwitterPending2
yearsHTTPRichHistoryTwitterPendingSessionHTML_fbpControl GlobalUsed by Facebook
to deliver a series of advertisement products such as real time bidding from
third party advertisers.3 monthsHTTPytidb::LAST_RESULT_ENTRY_KEYYouTubeStores
the user's video player preferences using embedded YouTube
videoPersistentHTML_bitBitlyRegisters a unique ID that identifies the user's
device during return visits as well as information on the user's link clicks
from the URL shortening service, Bitly.179 daysHTTP

Unclassified cookies are cookies that we are in the process of classifying,
together with the providers of individual cookies.

NameProviderPurposeExpiryTypebcDFPTargetingParams [x8]Blueconic
Control Design
Pharmaceutical Manufacturing
m072.smartindustry.com
Plant Services
Chemical Processing
Food Processing
Control GlobalPendingPersistentHTMLbcONETargetingParams [x8]Blueconic
Control Design
Pharmaceutical Manufacturing
m072.smartindustry.com
Plant Services
Chemical Processing
Food Processing
Control
GlobalPendingPersistentHTML#.#-#-#-#-#.reclaimEndTypeformPendingPersistentHTML#.#-#-#-#-#.reclaimStartTypeformPendingPersistentHTMLbp_sessionBrainpopPendingSessionHTTPwp_ak_otThe
Washington PostPending2 monthsHTTPwp_ak_subsThe Washington PostPending2
monthsHTTPwp_ak_v_otThe Washington PostPending2 monthsHTTPwp_ak_v_swThe
Washington PostPending2
monthsHTTPwistia-video-progress-# [x2]WistiaPendingPersistentHTML.CSRFENCEBrainsharkPendingSessionHTTPBCRevision_# [x5]Pharmaceutical
Manufacturing
www.smartindustry.com
Chemical Processing
Food Processing
Control GlobalPendingPersistentHTML_omappvsa.optmstr.comThis cookie is used to
determine if the visitor has visited the website before, or if it is a new
visitor on the website.1 dayHTTPrgisanonymous [x4]www.smartindustry.com
Plant Services
Food Processing
Control GlobalPending29 daysHTTPrguserid [x4]www.smartindustry.com
Plant Services
Food Processing
Control GlobalPending29 daysHTTPrguuid [x4]www.smartindustry.com
Plant Services
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 1. Home /
 2. Podcasts /
 3. Control Intelligence /
 4. Solutions spotlight: The evolution of ACOPOS


SOLUTIONS SPOTLIGHT: THE EVOLUTION OF ACOPOS

Jul 12, 2021

Editor in Chief Mike Bacidore and Dave Emory, director of end user sales at B&R
Industrial Automation discuss adaptive machines, the future of machine control
automation and B&R's ACOPOS 6D. 


TRANSCRIPT







Mike Bacidore: Hello, welcome to Control Intelligence, a Control Design podcast
that goes deep inside the automation and technology that machine builders,
system integrators and end users rely on to keep production coming efficiently.
I'm Mike Bacidore, editor in chief of Control Design, and in this episode, I'm
joined by Dave Emory, director of end user sales at B&R Industrial Automation.
This is Dave's second role within the organization. Prior to B&R, Dave was
working at Yaskawa Electric America and held several positions in sales and
senior management. He was responsible for the motion and drive sales in North
America and for several vertical markets.

The adaptive machine concept certainly isn't new, but it's expanding to
encompass even more technology. The entire idea is moving forward toward
adaptive manufacturing. The ACOPOS 6D is an important part of that expansion.
Practical interest is growing in the need for the technology and verticals such
as medical, food and beverage, consumer products, and cosmetics. Pretty much
anywhere you find the need for a compact, flexible layout for the manufacturing
process. Compared to a standard servo drive and motor, think of an ACOPOS 6D
segment like the drive and motor center all built into one package.







If you're familiar with ACOPOStrak, this is essentially the same as the track
segment, which measures 240 mm by 240 mm by mm, and it can be air cooled, but
it's also already set up to be liquid cooled if necessary. Each segment is
supplied with 48 to 60 Vdc and the segments can be combined in any
configuration. The only real restriction is that one of the full edges of a
segment must be adjacent to a pole edge of another segment.

Dave, thanks for joining us to talk about ACOPOS and its evolution, as well as
the future of machine control automation in general.

Dave Emory: Mike, thanks for having me, pleasure to be here.

Mike: Dave, as the country is reemerging now from the pandemic shutdown, which
technologies will be important for manufacturers looking to ramp up quickly?

Dave: Well, first, let me say how exciting and intrigued I am to be traveling
again to customers. In the last couple three months I've been able to start to
see folks again and visit facilities. And so far, those visits have confirmed
one thing, that customers are anxious to improve the level of automation that
they currently have, there's no question. This is, of course, great news for the
solution providers like ourselves at B&R, but you're right, the ramping up
quickly is going to be the key. We're already seeing shortages of common items
and components, as you probably hear across the states and in general around the
world. Now producers are going to want to capture that need, and they're going
to want to expand even into new markets and get into new things. So, several
technologies that B&R has and is working on come to mind when we're in this
discussion. Certainly, there's going to be more general automation and robotics
implemented in the short term. I don't see how that's not possible considering
pre-COVID that was already trending.

Mike: Right. Absolutely.

Dave: So, I think that's going to continue, but I think what's most exciting is
producers are asking for more agility, they want more flexibility. The adaptive
machine and adaptive manufacturing concepts that we've been speaking about for
going on two years now brings this much needed agility, I guess, and, say,
flexibility to the production floor. So, allowing what we're saying is near-zero
downtime changeover and cost-effective small batch production, which is part of
the requirements that they're all seeing. I'm also seeing a tighter need for
process simulation and digital twin usage. These help prove our concepts early
and kind of allow for that fail fast approach because we want to get to the
market quickly, so that's helping. And then, of course, there's more discussion
over cybersecurity. That is definitely a reoccurring topic.

Mike: Absolutely. Cybersecurity and the Internet of Things in general has become
pretty much ubiquitous in the manufacturing area. So building on that, how can
machine builders...well and down to end users for that matter, take advantage,
say, in the Industrial Internet of Things and the robotics in order to improve
their competitive advantage?

Dave: Right. There's been lots of discussions for plenty of time now over
Industrial Internet of Things, IIoT, of course, but Mike, like most processes
and decisions, more data, specifically more accurate data, I guess, is the key.
Overall, machine health and OEE, the overall equipment effectiveness, are super
important to producers and therefore the OEM kind of knows this. So builders
know this.

The ability to correct faster or even predict a negative occurrence before a
failure was pretty much paramount to what we've considered to be first class OEE
numbers. Inputs to the decision process will be, I don't know, much more
detailed and insightful as all these sensors, devices, etc., all get connected.
The less unknowns and no guesswork in regarding the status of the machine
components, etc., allows for a much more productive production line. IIoT allows
for that true predictive maintenance [and] real-time monitoring. We are even
seeing some potential new business models centered around the service of that
machine or those machines or the systems, lead management, etc. So basically,
like we're doing with the ABB Ability product, actually.

Mike: And then those technologies, certainly they'll alter the way that
companies are staffing their own manufacturing operations in the future. Can you
talk a little bit about that?

Dave: Yeah, that's a touchy one. We've been talking about, you know, human
staffing versus automation, or staffing in general versus automation, since I
entered this space in 1990. But I think companies, Mike, are going to really
ultimately make their own decisions with staffing. I will say this though, many
are struggling right now currently to hire and retain talent of all types.
Skilled, experienced operators are not as plentiful as they once were. So, we're
looking to the machines that need to use these advances in the technology to
make the interfaces more intuitive, of course, to operate. But also, we've made
some great progress with software packages in the last couple of years like
Matthew, we're embedding video, of course, embedding documents into the machine
controls. So, I think those things are going a long way to offset the lack of
talent, but it will be ultimately up to the, you know, to those producers to
staff.

Mike: Right. Staff is certainly a smorgasbord of how different companies are
handling the shortage of skilled workers and how they're going forward. 

Dave: Definitely an issue. It's really not a day on the news where you don't
hear about it, right?

Mike: Mm-hmm. Exactly. Yeah, pros and cons for both sides. Sure. What about the
evolution of software and the way that it's impacted requirements for machine
hardware? Can you talk a little bit about that?

Dave: Sure. I mean, we're all seeing more and more IP, if you will, intellectual
properties, and differentiation coming from software, there's no question. At
the automation vendors like ourselves at B&R, the machine builders, the systems
guys, and the OEMs, there's a big push around simplification of software, but
yet, differentiation. I think hardware in time will become less the area of
differentiation until we see that next chip or IC breakthrough where hardware
just takes a stairstep leap. But the demands in terms of performance, they're
continuing to go up, they're destined to  continue upwards. So, I think software
is already, but will become even more, an area of differentiation in the long
term versus the hardware.

Mike: Absolutely. So that being said, as that IT and OT, the engineering and the
the IT departments continue their convergence, do you have a prediction or a
hunch on which one of those will be leading that direction in the future?

Dave: I do. I think I'm going to take the middle ground for you, though, because
I feel that it's a...so much is going to be who's leading it. I think both are
independently super important to success of the organization or of the
organizations. But I think it's more that the increasing connectivity and the
cybersecurity, of course, that we just talked about means that the OT folks,
they're going to have to work a lot closer with the IT groups than they do
currently to ensure any success and really limit the exposure and risk for that
builder. This kind of more of a collaborative approach, I guess, is where I'm
going with it, is that this is gonna be a big change, as these two groups are
traditionally, I'll just say, pretty disconnected. It really won't be so much
lead, follow as much as I think it will be success based on collaboration. We're
seeing it already amongst the product development folks on our side, where we
have an OT outward face an IT side, they'll already becoming closer as groups
anyway.

Mike: Right. Right. You can't aggregate data without IT and you can't interpret
it without the OT people.

Dave: That's absolutely right.

Mike: They kind of go hand-in-hand. So, looking into the future then, how will
the technology change, well, both machine builders' and the end users' business
models over say the next five years? You talked a little bit about how that's
already started to happen, but what sort of new business models are you seeing
or do you think we'll be seeing in the future?

Dave: Yeah, I think that's great...it's a great question, and I think five years
is a stretch. We're going to see it tighter than that, the ramp is pretty
significant because it started, you know, we lost that year, year and a half,
but we were already seeing it pre-COVID. But the future's bringing requirements
for flexibility, agility and profitable small-batch production, that we already
see. Producers and, of course, therefore, the production equipment, they have to
be able to keep up with the direct-to-consumer stuff, the DTC requirements, the
Amazon effect is already in play in almost every production environment that
we're serving. Everything from snack foods to, well, I would say cosmetics and
home care, personal care to medicine, frankly, all the way through the medicine
itself, where a consumer is getting pretty used to getting, myself included,
getting exactly what and how many of what I want basically when I want it. And
not to mention that marketing, the marketing departments are focused on
differentiation because of the competitive nature of the world, those
departments are constantly changing the formats for packages, they're adding
varieties, they're creating combinations that best serve their user or their
consumer. This isn't easy to do. The logistics of all that has been very
complicated and expensive. Largely, it's done with volume production, meaning
they just crank out whatever it is, they inventory it, and then they co-pack it.
So they dismantle, repackage, and get product out. And that's true of foods all
the way to even medicine. It's expensive, very expensive.

Every time a producer touches it, the product, whether it's a beer or a face
cream or a drug, there's cost, and not to mention the possibility of damage or
contamination. So, we're looking at the adaptive manufacturing to allow for 
many less steps in that process to be able to build those desired varieties at
the time of producing so that we're not touching it again. Basically, a
build-to-order concept, if you will, but more or less a merging of the product.
So I think machine builders will inherently need to incorporate that flexibility
and agility, and frankly, the convenience for producers into their products. So,
zero changeover is driving much of this, but I think the interface or the HMI or
NMI, and the data exchange will be just as important.

Mike: Absolutely. And a great segue into the next question that I wanted to ask
you, actually, about that adaptive machine concept. And like you said, it's
really has evolved into adaptive manufacturing. So, let's talk a little bit
about the ACOPOS, the ACOPOS 6D, how does that fit into this concept and this
evolution?

Dave: Mike, it fits like a glove. That's the best part about it, is that this is
exactly the right time for the 6D to become truly this industrialized product.
It fits into the whole adaptive manufacturing like a glove, it really does. The
next generation of these manufacturing platforms like 6D, they make use of, sort
of these, I use a little bit of a cliche, but the enabling technologies, so
these like magnetic levitation, these are magnetic transport systems, such as
the 6D, ACOPOStrak, which we'll talk a little bit about, and of course,
SuperTrak. Even robots, vision and the smart sensors, all these in close
coordination are really maximizing the flexibility and even longevity of the
system. Fixed automation used to be tossed, right now, these technologies are
kind of baking in the capacities for quicker changeover, batch size one and less
retooling of anything even on new product development. So the the adaptive
machine is retooled, repurposed just as fast as the products change. That's the
whole gist behind the adaptive machine and the 6D really starting to capture
imagination of some of these design engineers that we're working with. So
really, very interesting developments are happening now at the machine builder
level, in the OEM level, they're getting very different verticals and in very
different spaces. So, it's a very broadly enabling technology. I'm sure it's
going to change what we consider to be the standard processes, I really am. And
so I think the 6D fits tremendous into our depth of manufacturing concept.

Mike: Absolutely. And, you know, when you were saying it fits like a glove, it
kind of made me think, yes, it fits like a glove, not only the right size, but
also in the exact color you want and made out of the exact material that you
want.

Dave: I love that, that's very...yes. Nice, thank you, Mike.

Mike: So what about the modularization that the ACOPOS 6D offers breaking new
segments? Can you talk a little bit about that and the advantages?

Dave: Yeah, I can. So the ACOPOS line, if you will, between ACOPOStrak and
ACOPOS 6D [and] even to some degree SuperTrak has been modularly designed from
the get go. So, the modular design of the 6D segments gives us the design
flexibility to match the needs of the system, that's the best way to put it.
What that really means is if we've got to go around the corner, we can go around
the corner. If we're constrained by the space on a production floor, which we
invariably are, the manufacturing space is always brownfield anyway, is always
an issue. So, this gives us the opportunity to reconfigure, so a production line
can be built with these segments, shuttles, etc., tooling and then dismantled
and then reassembled. So it doesn't have to be thrown away, much like some of
the fixed automation in the past with conveyance, etc. had to be. I can't tell
you how many times I would see old "conveyor lines" out the backsides of these
facilities that are just not available for use. So, the reconfiguration is a big
piece of it, especially when we already see format changes, production changes
through marketing, etc. So, we can later fit that same equipment to the next
process and optimize that product flow. So that's pretty key to the adaptive
machine piece.

Mike: Sure, yeah. The flexibility. Absolutely. And the $64,000 question, what
about the application? What do you envision the ACOPOS 6D being used in, which
verticals or what type of applications use this key part?

Dave: Mike, I haven't said this in a while, but I mean, it's really boundless. I
mean, we've got applications in play that span the nature of our business. It's
just, it's incredible. And they're all valid, there's validity to all of them.
So you know, the 6D is basically the backbone for almost any of the adaptive
machine or manufacturing adaptive manufacturing processes. The six degrees of
freedom, the 6D of course, the six degree that each of the shuttle can move
through opens up such a wide range of use cases. The fact that we have pitch,
yaw, and rotation, and vertical, XYZ, of course, it's just, it's great. And so,
I would say to name kind of a few that we would say are already in play in terms
of interest, the 6D is well served in pick and place, liquid and powder
dispensing, process-to-process transport, kind of what it was actually built
for. I've seen batching, I mean, collating or bringing things together. Of
course, it's used right now in filling, labeling, and camping. But also,
electronic assembly is super interesting because there was always a level of
accuracy in that assembly process that most had to be pinned. I mean, there were
some, you know, certain subtleties around that. But assembly is also super high
on our list for opportunity. But this list is by no means exhaustive. Our
customers are just, I think, just scratching the surface of the flexibility. And
we as engineers are just super excited to see what's next.

Mike: Right. Yeah, absolutely. The flexibility certainly makes the sky the
limit.

Dave: Right. Sure it does.

Mike: All right. Well, thanks again, David, really appreciate you taking the
time to talk this afternoon. Enjoyed it immensely. You've certainly shed some
new light on the future of machine automation., and you've definitely given us
some food for thought regarding motion. Thanks for joining us.

Dave: Yes, no, thanks for having me. I love these kinds of topics because
they're fun, progressive and new, and really B&R is very well positioned around
these things. I was happy to be here and I look forward to doing it again.

Mike: Thanks so much, and thanks to our listeners for joining us on this episode
of Control Intelligence.

For more, tune into the Control Intelligence podcast.

 





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