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  • 'CIM' in 80's and Now
    early 80 s CAD models were mostly of wire frame e g Calma CAD computers were huge UNIX machines HP IBM Silicon Graphics and OLP software itself was based of wire frame models Machines were also slow and software really hard to use Real time collision detection was out of scope Industrial robots on the other hand were not well suited for offline programming they typically had only five axis which made the programming and simulation offline even harder Number of OLP vendors was quite limited Here are few software brands from the 80 s Silma OLP from McDonnell Douglas don t remember the name Grasp BYG RobCad Tecnomatix IGRIP Deneb even Finnish NOKIA Corporation made their own software OLP software could easily cost 60 000 Regardless the relative big investment cost some buyers could calculate short payback times of an investment if robot teaching was quite regular causing robot down time to become significant Early adopters in industry were big automotive OEMs like GM and Ford and aerospace industry like McDonnell Douglas and Northrop Grumman In Nordics the first pioneers were Tampella Valmet Bronto Skylift Federal Signal company Valmet Automotive Volvo Aero Volvo CAR and SAAB The software was used for arc welding sealing car bodies spot welding and coating One significant break through was OpenGL and PCs Silicon Graphics remember the animations of Jurassic park had licensed their Graphics Library GL code which became Open GL That made a PC powerful enough for fairly intensive robot simulations and handling 3D solid models Now also medium size industries started to invest in OLP Software prices had come down to half of the prices of 80 s Robot vendors had also started to evaluate software and some were bringing their own OLP brands E g ABB s first 3D offline

    Original URL path: http://www.delfoi.fi/web/blogi/blog_2/en_GB/blog/ (2016-04-30)
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  • Supply Chain Planning and Scheduling between OEM and Suppliers in Multi-site Scope
    F1 race winner driving a truck Gartner Magic Quadrant of Supply Chain Planning 2014 Supply Chain Planning AND Scheduling between OEM and Suppliers in Multi site Scope We have developed a cloud based APS software with capability to plan and schedule production within multi site scope globally and transparently Next step would be to connect suppliers to the planning chain The problem has nothing to do with major software development either The problem is how to deal with sensitivity issue An example might clarify the situation APS software shows to OEM in real time that a supplier delivering components is late or in risk to be late This would be indicated for instance by activating a color within supplier s work progressing bar in gantt where OEM has access Red would mean late yellow in risk to be late and green would mean the delivery is in schedule Now if the color is red OEM might instantly select alternative resource i e alternative subcontractor from a pool of suppliers and reschedule the plan with substituted supplier OEM would be pleased to be able to keep the delivery in time Supplier on the other hand would not be that happy This

    Original URL path: http://www.delfoi.fi/web/blogi/blog_3/en_GB/MultiSite/ (2016-04-30)
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  • Does Industrial Internet (IoT and IoS) change the corporate IT landscape?
    race winner driving a truck Gartner Magic Quadrant of Supply Chain Planning 2014 Does Industrial Internet change the corporate IT landscape Early 80 s Gartner was stating that in the future corporate IT system is a combination of best applications of dedicated business segments like administration sales materials and production planning control That vision was not realized perfectly Year 2000 changed everything Corporate IT became almost like a synonym to

    Original URL path: http://www.delfoi.fi/web/blogi/blog_3/en_GB/IoT_andIoS/ (2016-04-30)
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  • MES and APS: separate or united?
    covers strategic tactical and operational planning The last operational use case is many times seen as the core of APS Here planning is daily based finite capacity planning and scheduling Target is to produce feasible plans to minimize excessive inventories and cut down radically order lead times There are plenty of APS systems providers you may find by googling type e g Advanced Planning and Scheduling software The main competitor of APS is what else corporate own precious Excel MES on the other hand is for executing controlling and monitoring There are MES software without any planning functionality and then there are MES software which has finite capacity scheduling functionality The functionality is not that rich as with pure APS software In yearly MES Product Survey by CGI the proportion of FCS functionality with MES software is increasing As MES is transactional software it will be quite challenging to implement all rich planning features within MES context Planning and scheduling requires simulations of different scenarios and should not automatically effect to execution When integrating MES and APS systems tightly together close loop will open up the gate way to truth Real Time Enterprise All rich APS functionalities are in use

    Original URL path: http://www.delfoi.fi/web/blogi/blog_3/en_GB/MES_APS/ (2016-04-30)
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  • Have you heard about F1 race winner driving a truck?
    serves well for business processes Excel is necessity to fill in caps of ERP in production planning and scheduling According to Gartner AMR Research in 2000 some 60 of US companies were using Excel in planning In IFS Mint Jutras study in 2011 over 75 of companies were using Excel One could imagine the number of users would have reduced in more than ten years but instead it was growing Reasons could be more complex and more customer driven production and when it comes to software tools most of the companies do not know much about APS and MES software APS Advanced Planning Scheduling and MES Manufacturing Execution System software should be used instead of Excel for production scheduling and planning they are dedicated for that purpose ERP customization combined with excel will lead only to small improvements It s like tuning a truck for an F1 race APS on the other hand brings productivity improvements which are measered in tens of percentages 50 improvement in lead times is typical value Many times Excel is home grown and has strong internal support as the developers naturally support their own outcomes But Excel is inefficient slow error sensitive and opaque not

    Original URL path: http://www.delfoi.fi/web/blogi/blog_3/en_GB/ERP_APS/ (2016-04-30)
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  • Gartner Magic Quadrant of Supply Chain Planning 2014
    driving a truck Gartner Magic Quadrant of Supply Chain Planning 2014 Gartner Magic Quadrant of Supply Chain Planning 2014 Gartner predict strong growth for Supply Chain Planning software and brake through in the near future tipping point Below are listed the trends behind the prediction Quote More global complex supply chains The continuing globalization of supply chains The increasingly multienterprise nature of supply chains The increasing variability and unpredictability of

    Original URL path: http://www.delfoi.fi/web/blogi/blog_3/en_GB/gartner_scp_2014/ (2016-04-30)
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  • Järvenpään caseraportti
    Terveydenhuolto RATKAISUT Robottien etäohjelmointi Tuotannon suunnittelu ja ohjaus Tuotannon ja logistiikan tehostaminen ja simulointi Terveydenhuolto TUOTTEET Delfoi Robotics Delfoi Planner FlexSim TUKI Planner Robotics Flexsim QUEST TYÖPAIKAT Avoimet työpaikat UUTISET Teollisuus Terveydenhuolto YHTEYSTIEDOT Suomi Yhteydenottopyyntö BLOGI BLOGI ARCH2014 konferenssiraportti conference paper Raportin tilaus conference paper order form Huom tähdellä merkitys kohdat ovat pakollisia marked are mandatory Nimi Name Asema Position Organisaatio organisation Puhelinnumero Telephone nr Sähköpostiosoite email address Vapaa viesti

    Original URL path: http://www.delfoi.fi/web/contact/fi_FI/lean/ (2016-04-30)
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  • Murata Electronics Oy
    tehtaita Tuotanto koostuu yli kahdestasadasta prosessivaiheesta Kokoonpanossa tuotantomixin vaihtuminen vaikuttaa nopeasti kapasiteetin tarpeeseen Pelkkä vaiheaikojen seuraaminen ei riitä koska se näyttää vain yhden osatekijän Delfoin ohjelmisto osaa huomioida eri tuotteiden tarpeen käyttää samoja koneita ja laitteita vaikka niiden Run Rate taulukko on eri Tällä tavalla tuotantokapasiteetin käyttöaste voidaan maksimoida Muratan tuotannon kehittämispäällikkö Sami Solastie kertoo Myynti ja tuotanto suunnitellaan rullaavasti kahdentoista kuukauden aikajänteellä Sen lisäksi että kapasiteettilaskennalla ohjataan missä maassa ja millä tuotantolinjalla antureita valmistetaan voidaan tehdä myös erilaisia skenaarioita ja tutkia yksittäisten tuotteiden tai tuoteperheiden valmistuksen vaikutusta tuotantoon ja kapasiteettitarpeeseen Uusien tuotteiden kohdalla tehdään tuotekohtaiset investointilaskelmat Delfoi Planner pystyy parhaiten antamaan vastauksen näihin kysymyksiin Sami Solastie jatkaa Ennen laskelmat tehtiin Excelillä Excelin huonoja puolia on sen hallitsemattomuus Taulukot rakentuvat vuosien varrella eikä niitä ole välttämättä suunniteltu vastaamaan kolmen vuoden päässä olevia tarpeita Ja kun viisi vuotta laitetaan viikkotasolla taulukkoon jo sen fyysinen mitta kasvaa Excelissä on aina vaarana se että kun johonkin kohtaan tehdään muutoksia ei voida olla varmoja miten se vaikuttaa arvoihin ja kaavoihin muualla taulukossa Delfoi Planner ratkaisussa on ajan syöttämisen ja käsittelyn helppouden lisäksi myös muita etuja Exceliin verrattuna Kun yritys kasvaa nopeasti tieto pitää tuottaa tietynlaisena Delfoi Planner totuttaa perustelemaan asiat tietyllä tavalla ja jokainen tietää mihin laskelmat perustuvat Järjestelmän raportit helpottavat todella paljon kun asioita viedään eteenpäin Lisäksi Delfoin kapasiteettilaskelmat ovat uskottavampia kuin Excelillä tehdyt kaaviot koska tiedot tulevat yhdenmukaisina samasta järjestelmästä Sami Solastie vertailee Kapasiteettilaskenta ja tuotannon kehittäminen kannattaa tehdä keskitetysti Sekä Muratalla että asiakkailla on vain muutama henkilö jotka ylläpitävät tuotantoon liittyvää dataa Laskelmia ja tietoja saavat käsitellä vain ne ihmiset jotka ymmärtävät taustalla olevan logiikan Ammattitaitoista palvelua lähellä Delfoi on ollut hyvä kumppani ja toiminta on ollut erittäin joustavaa Apua on saanut aina kun on ollut tarvetta Delfoin ammattitaidosta oli suurta apua projektin määrittelyssä ja vaatimusten kirjaamisessa Arvostan sitä että kun

    Original URL path: http://www.delfoi.fi/web/referenses/planner/fi_FI/murata/ (2016-04-30)
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