{"id":204,"date":"2026-07-28T00:00:05","date_gmt":"2026-07-27T22:00:05","guid":{"rendered":"http:\/\/www.sensors.udl.cat\/?p=204"},"modified":"2026-09-06T22:28:30","modified_gmt":"2026-09-06T20:28:30","slug":"dos-una-nova-manera-doptimitzar-la-formulacio-de-pinsos","status":"publish","type":"post","link":"http:\/\/www.sensors.udl.cat\/?p=204","title":{"rendered":"DOS: una nova manera d’optimitzar la formulaci\u00f3 de pinsos"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Cada decisi\u00f3 que es pren durant la formulaci\u00f3 d’un pinso implica trobar l’equilibri entre m\u00faltiples objectius. Cal garantir que les dietes compleixen amb els requeriments nutricionals dels animals, cal mantenir la competitivitat econ\u00f2mica i, cada vegada m\u00e9s, cal tenir en compte com reduir l’impacte ambiental.<\/p>\n\n\n\n

Tradicionalment, aquestes decisions s’han pres modificant formulacions de manera iterativa: es canvia un ingredient, es revisa el cost, es comproven els nutrients i es torna a comen\u00e7ar. Per\u00f2 qu\u00e8 passaria si podem explorar diverses formulacions possibles en pocs segons i entendre de manera clara quins compromisos comporta cada decisi\u00f3?<\/p>\n\n\n\n

Aquesta \u00e9s la filosofia de DOS (Dietes Optimitzades i Sostenibles)<\/strong>.<\/p>\n\n\n\n

DOS no \u00e9s una \u00fanica aplicaci\u00f3, sin\u00f3 un conjunt d’eines que acompanyen tot el proc\u00e9s de presa de decisions, des de la formulaci\u00f3 inicial fins a l’an\u00e0lisi detallada dels resultats.<\/p>\n\n\n\n

El primer pas consisteix a definir el problema<\/h2>\n\n\n\n

L’usuari introdueix les mat\u00e8ries primeres disponibles, els seus preus, les caracter\u00edstiques nutricionals, els impactes ambientals i les restriccions pr\u00f2pies de cada formulaci\u00f3. A partir d’aquestes dades, el model matem\u00e0tic resol el problema d’optimitzaci\u00f3 i genera les dietes que compleixen tots els requeriments establerts.<\/p>\n\n\n\n

L’eina permet treballar tant amb objectius estrictament econ\u00f2mics com incorporar criteris ambientals, trobant autom\u00e0ticament les formulacions \u00f2ptimes.<\/p>\n\n\n\n

\u2192 Accedir a l’eina d’optimitzaci\u00f3<\/a><\/strong><\/p>\n\n\n\n

\u2192 Arxiu d’entrada de dades d’exemple<\/a><\/strong> (document explicatiu<\/a>)<\/p>\n\n\n\n

Entendre els compromisos: la frontera de Pareto<\/h2>\n\n\n\n

En problemes reals no existeix una \u00fanica millor soluci\u00f3. Reduir les emissions acostuma a incrementar el cost. Minimitzar el cost pot comportar un impacte ambiental m\u00e9s elevat. La pregunta no \u00e9s quina \u00e9s la millor dieta?<\/em>, sin\u00f3 quin comprom\u00eds estem disposats a acceptar?<\/strong><\/p>\n\n\n\n

Per respondre aquesta pregunta, DOS genera la frontera de Pareto<\/strong>, \u00e9s a dir, un conjunt de solucions eficients on cap objectiu pot millorar sense empitjorar l’altre.<\/p>\n\n\n\n

L’eina d’an\u00e0lisi permet explorar aquest conjunt de solucions de manera interactiva, comparant formulacions, observant com evolucionen els ingredients i identificant el punt que millor s’adapta als objectius de l’empresa.<\/p>\n\n\n\n

D’aquesta manera, la decisi\u00f3 final deixa de basar-se \u00fanicament en el cost i passa a estar sustentada per informaci\u00f3 quantitativa.<\/p>\n\n\n\n

\u2192 Explorar l’an\u00e0lisi del front de Pareto<\/a><\/strong><\/p>\n\n\n\n

Analitzar l’impacte ambiental<\/h2>\n\n\n\n

Con\u00e8ixer l’impacte global d’una dieta \u00e9s nom\u00e9s el principi. Per prendre decisions \u00fatils cal saber quines categories ambientals s\u00f3n les responsables<\/strong>, quins ingredients hi contribueixen m\u00e9s i quins canvis permetrien reduir la petjada sense comprometre els resultats productius.<\/p>\n\n\n\n

L’eina d’an\u00e0lisi ambiental descompon cada formulaci\u00f3 en els diferents indicadors d’impacte i mostra de forma visual les contribucions de cada ingredient i categoria ambiental. Aquesta informaci\u00f3 facilita identificar oportunitats de millora que sovint no s\u00f3n evidents quan nom\u00e9s s’observa un \u00fanic indicador agregat.<\/p>\n\n\n\n

L’objectiu no \u00e9s simplement obtenir una dieta amb una petjada menor, sin\u00f3 entendre per qu\u00e8<\/strong> aquesta petjada \u00e9s menor.<\/p>\n\n\n\n

\u2192 Accedir a l’an\u00e0lisi ambiental<\/a><\/strong><\/p>\n\n\n\n

Una plataforma per donar suport a la decisi\u00f3<\/h1>\n\n\n\n

DOS ha estat desenvolupada per facilitar una formulaci\u00f3 de pinsos basada en dades objectives, combinant optimitzaci\u00f3 matem\u00e0tica, an\u00e0lisi multicriteri i avaluaci\u00f3 ambiental.<\/p>\n\n\n\n

Les tres eines formen un \u00fanic flux de treball:<\/p>\n\n\n\n

    \n
  1. Optimitzar<\/strong> les formulacions.<\/li>\n\n\n\n
  2. Comparar<\/strong> les diferents solucions eficients.<\/li>\n\n\n\n
  3. Analitzar<\/strong> en profunditat els seus impactes ambientals.<\/li>\n<\/ol>\n\n\n\n

    Aquest enfocament permet transformar les dades en informaci\u00f3 \u00fatil per prendre decisions m\u00e9s competitives, transparents i sostenibles.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Cada decisi\u00f3 que es pren durant la formulaci\u00f3 d’un pinso implica trobar l’equilibri entre m\u00faltiples objectius. Cal garantir que les dietes compleixen amb els requeriments nutricionals dels animals, cal mantenir la competitivitat econ\u00f2mica i, cada vegada m\u00e9s, cal tenir en compte com reduir l’impacte ambiental. Tradicionalment, aquestes decisions s’han pres modificant formulacions de manera iterativa: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[1],"tags":[16,19,7,18,17],"class_list":["post-204","post","type-post","status-publish","format-standard","hentry","category-general","tag-frontera-de-pareto","tag-optimitzacio","tag-pinso","tag-porci","tag-sostenibilitat"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=\/wp\/v2\/posts\/204","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=204"}],"version-history":[{"count":8,"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=\/wp\/v2\/posts\/204\/revisions"}],"predecessor-version":[{"id":224,"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=\/wp\/v2\/posts\/204\/revisions\/224"}],"wp:attachment":[{"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=204"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=204"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sensors.udl.cat\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=204"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}