[{"data":1,"prerenderedAt":663},["ShallowReactive",2],{"{\"language\":\"ko\",\"resolve_relations\":\"reference.source\",\"version\":\"published\"}resources/blog/why-manufacturers-are-rethinking-build-vs-buy-for-engineering-data":3},{"data":4,"headers":640},{"story":5,"cv":621,"rels":622,"links":639},{"name":6,"created_at":7,"published_at":8,"updated_at":9,"id":10,"uuid":11,"content":12,"slug":612,"full_slug":613,"sort_by_date":614,"position":615,"tag_list":616,"is_startpage":227,"parent_id":617,"meta_data":24,"group_id":618,"first_published_at":619,"release_id":24,"lang":484,"path":24,"alternates":620,"default_full_slug":24,"translated_slugs":24},"Why Manufacturers Are Rethinking Build vs. Buy for Engineering 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",[59],{"type":53},{"text":61,"type":32,"marks":62},"여기에서 접근할 수 있습니다.",[63,69],{"type":64,"attrs":65},"link",{"href":66,"uuid":24,"anchor":24,"target":67,"linktype":68},"https://pages.techsoft3d.com/engineering-data-insights","_blank","url",{"type":53},{"text":71,"type":32,"marks":72},"  ",[73],{"type":53},{"type":27,"attrs":75,"content":76},{"textAlign":24},[77],{"text":78,"type":32},"이 블로그 시리즈의 처음 세 개의 게시물을 확인하십시오: ",{"type":80,"content":81},"bullet_list",[82],{"type":83,"content":84},"list_item",[85],{"type":27,"attrs":86,"content":87},{"textAlign":24},[88,94],{"text":89,"type":32,"marks":90},"왜 엔지니어링 데이터가 전략적 제조 자산이 되었는가",[91],{"type":64,"attrs":92},{"href":93,"uuid":24,"anchor":24,"target":67,"linktype":68},"https://www.techsoft3d.com/resources/blog/why-engineering-data-has-become-a-strategic-manufacturing-asset/",{"text":95,"type":32}," ",{"type":80,"content":97},[98],{"type":83,"content":99},[100],{"type":27,"attrs":101,"content":102},{"textAlign":24},[103,109],{"text":104,"type":32,"marks":105},"엔지니어링 데이터 병목 현상의 숨겨진 비용",[106],{"type":64,"attrs":107},{"href":108,"uuid":24,"anchor":24,"target":67,"linktype":68},"https://www.techsoft3d.com/resources/blog/hidden-cost-of-engineering-data-bottlenecks/",{"text":95,"type":32},{"type":80,"content":111},[112],{"type":83,"content":113},[114],{"type":27,"attrs":115,"content":116},{"textAlign":24},[117,123],{"text":118,"type":32,"marks":119},"왜 더 많은 제조업체들이 CAD 애플리케이션 외부로 CAD 데이터 접근을 확대하고 있는가",[120],{"type":64,"attrs":121},{"href":122,"uuid":24,"anchor":24,"target":67,"linktype":68},"https://www.techsoft3d.com/resources/blog/why-more-manufacturers-are-expanding-access-to-cad-data-beyond-cad-applications/",{"text":124,"type":32},". ","copy",true,{"_uid":128,"body":129,"alignment":17,"component":125,"is_full_width":126},"f2d2f96e-8fff-4e49-b1c5-d6b61a168d50",{"type":22,"attrs":130,"content":131},{"backgroundColor":24},[132,139,144],{"type":133,"attrs":134,"content":136},"heading",{"level":135,"textAlign":24},2,[137],{"text":138,"type":32},"엔지니어링 데이터에 대해 이 결정이 다르게 보이는 이유 ",{"type":27,"attrs":140,"content":141},{"textAlign":24},[142],{"text":143,"type":32},"빌드 대 구매에 대한 질문은 기업 소프트웨어에서 새로운 것은 아니지만, CAD와 시뮬레이션 데이터는 자체적인 복잡성을 가져옵니다. 데이터는 수십 가지 형식으로 제공되며, 내재된 지적 재산권을 보유하고 있으며, 일반 용도의 소프트웨어가 처리할 수 없었던 파일 크기에 정기적으로 도달합니다. 고객 기록을 관리하는 시스템은 기하학, 공차, 또는 메시 구조의 복잡성을 이해할 필요가 없지만, 엔지니어링 데이터를 처리하는 시스템은 그럴 필요가 있습니다.  ",{"type":27,"attrs":145,"content":146},{"textAlign":24},[147],{"text":148,"type":32},"이 격차는 특정 제조업체의 필요에 꼭 맞는 선반 제품이 자주 없는 이유의 큰 부분입니다. 다른 경우에는 시스템이 너무 많이 수행하여, 특수 틈새 시장에서 운영하는 조직에게는 비싸게 합니다. 이러한 요소들은 제조업, 엔지니어링 그리고 다른 유사한 응용 분야에 대해 사용자 지정 개발이 일반적인 비즈니스 영역보다 훨씬 더 매력적인 제안이 되게 만듭니다.  ",{"_uid":150,"body":151,"alignment":17,"component":125,"is_full_width":126},"8c77bc46-d997-44dc-b429-e345c462cc2e",{"type":22,"attrs":152,"content":153},{"backgroundColor":24},[154,159,164,169,174],{"type":133,"attrs":155,"content":156},{"level":135,"textAlign":24},[157],{"text":158,"type":32},"구매에 대한 주장 ",{"type":27,"attrs":160,"content":161},{"textAlign":24},[162],{"text":163,"type":32},"맞춤형 제품을 갖는 것이 얼마나 좋든, 구매는 많은 조직에 있어서 의미가 있습니다. 구매는 구축과는 반대 방향에서 더 잘 이해되는 문제에 대해, 그리고 엔지니어링 프로세스를 독특하게 하는 것에 영향받지 않는 문제에 있어서 더 의미가 있습니다. 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AI 보조 개발은 엔지니어링 팀이 맞춤형 소프트웨어를 작성하는 것을 더 쉽게 만들고 있으며, 이는 빌드 대 구매 계산에서 수학이 근본적으로 변했는지에 대한 명확한 질문을 제기합니다.  ",{"type":27,"attrs":259,"content":260},{"textAlign":24},[261],{"text":262,"type":32},"CAD 양식을 이해하고 기하학을 정확하게 보존하며 시뮬레이션 결과를 해석하는 것은 여전히 항상 필요했던 동일한 전문 지식을 요구합니다. 코드가 빨라진 것만으로도 그 균형을 의미 있게 변화시킬 수 있는지 아니면 단지 평가해야 할 새로운 변수를 추가한 것인지 여부는 당연한 대답을 가정하기보다는 깊이 파헤칠 가치가 있습니다. ",{"type":133,"attrs":264,"content":265},{"level":135,"textAlign":24},[266],{"text":267,"type":32},"결정을 올바르게 내리기 ",{"type":27,"attrs":269,"content":270},{"textAlign":24},[271],{"text":272,"type":32},"이것 중 어느 것도 보편적인 답을 가리키지 않으며, 그것이 요점입니다. 이를 잘 탐색하는 제조업체는 하나의 결정을 하지 않으면 다시는 물어보지 않는 기본값으로 떨어지기보다는 진짜 결정을 내리고 필요가 변할 때마다 의도적으로 검토하는 경향이 있습니다. ",{"type":27,"attrs":274,"content":275},{"textAlign":24},[276,278,283,285,289],{"text":277,"type":32},"그렇다면 제조업체는 실제로 언제 빌드하고 언제 구매하는지 어떻게 결정하고 있을까요? 배우는 가장 좋은 방법은 그 결정을 내리는 사람들에게 직접 듣는 것입니다. 전체 보고서, ",{"text":279,"type":32,"marks":280},"제조업체들이 늘어나는 엔지니어링 데이터 수요를 충족시키는 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