{"id":343,"date":"2023-08-02T04:30:14","date_gmt":"2023-08-02T04:30:14","guid":{"rendered":"https:\/\/statorials.org\/tr\/matris-onceliklendirmesi-veya-matris-onceligi\/"},"modified":"2023-08-02T04:30:14","modified_gmt":"2023-08-02T04:30:14","slug":"matris-onceliklendirmesi-veya-matris-onceligi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/matris-onceliklendirmesi-veya-matris-onceligi\/","title":{"rendered":"\u00d6nceliklendirme matrisi (veya \u00f6ncelik matrisi)"},"content":{"rendered":"
Bu makalede, \u00f6ncelik matrisi olarak da adland\u0131r\u0131lan \u00f6nceliklendirme matrisinin ne oldu\u011fu, \u00f6zelliklerinin neler oldu\u011fu ve ne i\u00e7in kullan\u0131ld\u0131\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r. Ayn\u0131 \u015fekilde \u00f6nceliklendirme matrisinin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 ve buna ek olarak ad\u0131m ad\u0131m a\u00e7\u0131klanan bir \u00f6rne\u011fi g\u00f6rebileceksiniz. <\/p>\n
\u00d6nceliklendirme matrisi<\/strong> (veya \u00f6ncelik matrisi<\/strong> ), farkl\u0131 se\u00e7enekleri \u00e7e\u015fitli kriterlere g\u00f6re kar\u015f\u0131la\u015ft\u0131rman\u0131za olanak tan\u0131yan bir matristir; bu nedenle, farkl\u0131 se\u00e7enekleri de\u011ferlendirmek ve objektif olarak birini se\u00e7mek i\u00e7in bir \u00f6nceliklendirme matrisi kullan\u0131l\u0131r.<\/p>\n
Yani bir \u00f6nceliklendirme matrisinde mevcut farkl\u0131 se\u00e7enekler, daha \u00f6nce se\u00e7ilen kriterlere g\u00f6re elde edilen puana g\u00f6re s\u0131n\u0131fland\u0131r\u0131lmakta, bu sayede objektif bir y\u00f6nteme dayal\u0131 bir karar verilebilmektedir.<\/p>\n
Tipik olarak matrisin her sat\u0131r\u0131 se\u00e7im yap\u0131labilecek bir se\u00e7enektir, matrisin s\u00fctunlar\u0131 ise se\u00e7im kriterlerini temsil eder. Yani bir sat\u0131r ile bir s\u00fctunun kesi\u015fti\u011fi kutu, bu se\u00e7ene\u011fin bu kritere g\u00f6re ald\u0131\u011f\u0131 puand\u0131r. <\/p>\n<\/figure>\n
\u00d6nceliklendirme matrisine ayn\u0131 zamanda \u00e7ok kriterli matris<\/strong> veya \u00f6nceliklendirme diyagram\u0131<\/strong> da denir. <\/p>\n
\u00d6nceliklendirme matrisinin amac\u0131n\u0131 tan\u0131mlay\u0131n<\/strong> : \u00d6nceliklendirme matrisini olu\u015fturmaya ba\u015flamadan \u00f6nce, matrisi olu\u015fturman\u0131n amac\u0131 net olmal\u0131d\u0131r. Bu \u015fekilde kriterleri se\u00e7mek daha kolay olacakt\u0131r.<\/span><\/li>\n
Se\u00e7enekleri tan\u0131mlay\u0131n<\/strong> : De\u011ferlendirilmesi gereken t\u00fcm olas\u0131 se\u00e7eneklerin bir listesini yap\u0131n. Baz\u0131 durumlarda se\u00e7enekler zaten tan\u0131mlanm\u0131\u015f olacak, di\u011fer durumlarda ise becerikli olman\u0131z ve alternatifler bulman\u0131z gerekecek.<\/span><\/li>\n
Kriterlerin olu\u015fturulmas\u0131<\/strong> : Farkl\u0131 se\u00e7enekleri puanlamak i\u00e7in se\u00e7ilen kriterler \u00f6nceliklendirme matrisinin amac\u0131 ile uyumlu olmal\u0131d\u0131r; bu nedenle matrisin amac\u0131n\u0131n a\u00e7\u0131k\u00e7a tan\u0131mlanmas\u0131 \u00f6nemlidir. Ayr\u0131ca sadece proje ile ilgili kriterlerin girilmesi gerekmektedir; \u00e7ok fazla kriter, se\u00e7ilen se\u00e7ene\u011fin en uygun olmamas\u0131na neden olabilir.<\/span><\/li>\n
Kriterlerin a\u011f\u0131rl\u0131kland\u0131r\u0131lmas\u0131<\/strong> : Farkl\u0131 kriterler tan\u0131mland\u0131ktan sonra, her birinin \u00f6nemine g\u00f6re a\u011f\u0131rl\u0131kland\u0131r\u0131lmal\u0131d\u0131r. Normalde bu, y\u00fczde olarak yap\u0131l\u0131r, b\u00f6ylece daha \u00f6nemli kriter daha y\u00fcksek bir y\u00fczdeye kar\u015f\u0131l\u0131k gelir ve t\u00fcm a\u011f\u0131rl\u0131klar\u0131n toplam\u0131 1’i (veya %100’\u00fc) verir.<\/span><\/li>\n
Se\u00e7enekleri de\u011ferlendirin<\/strong> \u2013 Her se\u00e7enek, her kriter i\u00e7in bir puan almal\u0131d\u0131r. Kriterlerin \u00f6nemindeki fark zaten a\u011f\u0131rl\u0131klar taraf\u0131ndan belirlendi\u011finden, t\u00fcm puanlar\u0131n aral\u0131\u011f\u0131n\u0131n ayn\u0131 olmas\u0131 \u00f6nerilir.<\/span><\/li>\n
En iyi se\u00e7ene\u011fi se\u00e7in<\/strong> : Her kriter i\u00e7in t\u00fcm se\u00e7enekler derecelendirildikten sonra al\u0131nan t\u00fcm puanlar toplan\u0131r. Teorik olarak en iyi se\u00e7enek en \u00e7ok puan\u0131 alan se\u00e7enektir.<\/span> <\/li>\n<\/ol>\n
\u00d6nceliklendirme matrisinin tan\u0131m\u0131n\u0131 ve nas\u0131l yap\u0131ld\u0131\u011f\u0131n\u0131 g\u00f6rd\u00fckten sonra, kavram\u0131 \u00f6z\u00fcmsemeyi tamamlamak i\u00e7in ad\u0131m ad\u0131m bir \u00f6rnek g\u00f6rece\u011fiz.<\/p>\n
\n
Bir banka, b\u00fcy\u00fctmek amac\u0131yla k\u00fc\u00e7\u00fck bir i\u015fletmeyi sat\u0131n al\u0131p daha sonra daha y\u00fcksek bir fiyata satarak yat\u0131r\u0131m yapmak istiyor. Birka\u00e7 ekonomik filtreyi ge\u00e7tikten sonra sat\u0131n almay\u0131 d\u00fc\u015f\u00fcnen \u015firketler A \u015eirketi, B \u015eirketi ve C \u015eirketidir.<\/li>\n<\/ul>\n
Bankan\u0131n hangi \u015firketi sat\u0131n almas\u0131 gerekti\u011fini analiz etmek i\u00e7in bir \u00f6nceliklendirme matrisi olu\u015fturaca\u011f\u0131z. Bu durumda matrisin amac\u0131n\u0131 ve farkl\u0131 se\u00e7eneklerini zaten biliyoruz:<\/p>\n
Ama\u00e7:<\/strong><\/span> K\u00fc\u00e7\u00fck bir i\u015fletme sat\u0131n al\u0131p bir s\u00fcre sonra daha fazla para kar\u015f\u0131l\u0131\u011f\u0131nda satmak ve yat\u0131r\u0131m\u0131 karl\u0131 hale getirmek.<\/p>\n
Kriter 1: Sat\u0131n alma fiyat\u0131.<\/u> Mant\u0131ksal olarak \u015firketin sat\u0131n alma fiyat\u0131 ne kadar d\u00fc\u015f\u00fck olursa bankaya o kadar fayda sa\u011flar \u00e7\u00fcnk\u00fc daha az para harcan\u0131r.<\/li>\n
Kriter 2: B\u00fcy\u00fcme potansiyeli.<\/u> Banka b\u00f6ylece daha fazla ekonomik getiri elde edece\u011fi i\u00e7in b\u00fcy\u00fcme ve \u015firketin de\u011ferindeki art\u0131\u015f potansiyeli dikkate al\u0131nmal\u0131d\u0131r.<\/li>\n
Kriter 3: \u0130flas riski.<\/u> Ayr\u0131ca her \u015firketin iflasa s\u00fcr\u00fcklenme riskini de hesaba katmak gerekir, \u00e7\u00fcnk\u00fc bu durumda banka yat\u0131r\u0131lan t\u00fcm paray\u0131 kaybedecektir. Bu kriterden al\u0131nan puan ne kadar y\u00fcksek olursa \u015firketin kapanma riski de o kadar d\u00fc\u015f\u00fck olur.<\/li>\n
Kriter 4: \u015eirketin y\u0131ll\u0131k kar\u0131.<\/u> \u015eirketin y\u0131ll\u0131k k\u00e2r\u0131n\u0131n da de\u011ferlenmesi gerekir, \u00e7\u00fcnk\u00fc bu, \u015firketin al\u0131m sat\u0131m\u0131ndan elde edilen k\u00e2r\u0131n d\u0131\u015f\u0131nda bankan\u0131n kazanaca\u011f\u0131 ek parad\u0131r.<\/li>\n<\/ul>\n
Kriterleri a\u011f\u0131rl\u0131kland\u0131rd\u0131ktan sonra derecelendirme yaparak \u00f6nceliklendirme matrisini haz\u0131rl\u0131yoruz. Bunun i\u00e7in her se\u00e7ene\u011fe her kriter i\u00e7in 1’den 10’a kadar puan verildi ve ard\u0131ndan kriterlerin a\u011f\u0131rl\u0131klar\u0131na g\u00f6re puanlar eklendi.<\/p>\n
Se\u00e7enekleri de\u011ferlendirin ve en iyisini se\u00e7in:<\/strong><\/span> <\/p>\n<\/figure>\n
Sonu\u00e7 olarak, \u015firketlerin her birini belirlenmi\u015f \u00e7e\u015fitli kriterlere g\u00f6re de\u011ferlendirdikten sonra banka, en iyi puan\u0131 alan \u015firket oldu\u011fu i\u00e7in A \u015firketini sat\u0131n almal\u0131d\u0131r. <\/p>\n
<\/span> \u00d6nceliklendirme matrisi ne i\u00e7in kullan\u0131l\u0131r?<\/span><\/h2>\n
A\u015fa\u011f\u0131da \u00f6nceliklendirme matrisini ne i\u015fe yarad\u0131\u011f\u0131na ve ne zaman kullanabilece\u011finize dair bir \u00f6zet sunuyoruz.<\/p>\n
\n
Karar kriterlerini belirleyin<\/strong> \u2013 Se\u00e7im kriterlerini belirlemek, proje i\u00e7in neyin en \u00f6nemli oldu\u011funu ve karar\u0131n neye dayanmas\u0131 gerekti\u011fini g\u00f6rmenize yard\u0131mc\u0131 olur.<\/span><\/li>\n
Sorunun a\u00e7\u0131kl\u0131\u011fa kavu\u015fturulmas\u0131<\/strong> : Karar kriterlerini se\u00e7mek, kar\u015f\u0131la\u015ft\u0131\u011f\u0131n\u0131z ger\u00e7ek sorun ve onu \u00e7\u00f6zmenin en \u00f6nemli y\u00f6nleri hakk\u0131nda daha net bir fikre sahip olman\u0131z\u0131 sa\u011flar.<\/span><\/li>\n
Se\u00e7eneklerin analizi<\/strong> : \u00d6nceliklendirme matrisi, her se\u00e7ene\u011fin puan\u0131n\u0131n her kriterde h\u0131zl\u0131 bir \u015fekilde g\u00f6rselle\u015ftirilmesine olanak tan\u0131d\u0131\u011f\u0131ndan, t\u00fcm se\u00e7eneklerin analizini kolayla\u015ft\u0131r\u0131r.<\/span><\/li>\n
\u0130yile\u015ftirme f\u0131rsatlar\u0131n\u0131 aray\u0131n<\/strong> : \u00d6nceliklendirme matrisini \u00e7al\u0131\u015ft\u0131r\u0131rken, bir se\u00e7ene\u011fin projeniz i\u00e7in en iyisi oldu\u011fu veya tam tersine, matriste elde edilen sonu\u00e7lar\u0131 iyile\u015ftiren yeni se\u00e7enekleri ke\u015ffetmeniz gerekti\u011fi sonucuna varabilirsiniz.<\/span> <\/li>\n<\/ul>\n
<\/span> \u00d6nceliklendirme matrisinin avantajlar\u0131 ve dezavantajlar\u0131<\/span><\/h2>\n
Avantaj\u0131:<\/u><\/strong><\/p>\n
\n
\u00d6nceliklendirme matrisi kullan\u0131m\u0131 basit bir ara\u00e7t\u0131r. Ayr\u0131ca se\u00e7enekler, kriterler veya a\u011f\u0131rl\u0131kland\u0131rmalar h\u0131zl\u0131 bir \u015fekilde g\u00fcncellenip de\u011fi\u015ftirilebilir.<\/span><\/li>\n
Proje y\u00f6netimi i\u00e7in \u00e7ok faydal\u0131d\u0131r \u00e7\u00fcnk\u00fc birden fazla se\u00e7ene\u011fi analiz etmenize ve hangisinin en iyi oldu\u011funa karar vermenize olanak tan\u0131yarak zamandan tasarruf etmenizi sa\u011flar.<\/span><\/li>\n
Bu objektif bir y\u00f6ntemdir, dolay\u0131s\u0131yla bir ki\u015finin sahip olabilece\u011fi \u00f6nyarg\u0131lar azalt\u0131l\u0131r.<\/span><\/li>\n
\u00d6nceliklendirme matrisinin anla\u015f\u0131lmas\u0131 hem onu uygulayanlar hem de yorumlayanlar i\u00e7in olduk\u00e7a basittir.<\/span><\/li>\n<\/ul>\n
Dezavantajlar\u0131:<\/u><\/strong><\/p>\n
\n
Elde edilen sonu\u00e7 tamamen kriterlerin kendi de\u011ferlendirmesine ve a\u011f\u0131rl\u0131klar\u0131na ba\u011fl\u0131d\u0131r, bu nedenle ekibin tarafs\u0131z kalmas\u0131 gerekir.<\/span><\/li>\n
Organizasyonun t\u00fcr\u00fcne ba\u011fl\u0131 olarak \u00f6nceliklendirme matrisi \u00e7ok kat\u0131 hale gelebilir.<\/span><\/li>\n
Bazen iki veya daha fazla se\u00e7enek birbirine \u00e7ok benzer puanlar verir, dolay\u0131s\u0131yla hangi karar\u0131n al\u0131naca\u011f\u0131 belirsizdir. Bu durumda \u00f6ncelik matrisinin di\u011fer kriter ve a\u011f\u0131rl\u0131klarla yeniden yap\u0131lmas\u0131 \u00f6nerilir.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
Bu makalede, \u00f6ncelik matrisi olarak da adland\u0131r\u0131lan \u00f6nceliklendirme matrisinin ne oldu\u011fu, \u00f6zelliklerinin neler oldu\u011fu ve ne i\u00e7in kullan\u0131ld\u0131\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r. Ayn\u0131 \u015fekilde \u00f6nceliklendirme matrisinin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 ve buna ek olarak ad\u0131m ad\u0131m a\u00e7\u0131klanan bir \u00f6rne\u011fi g\u00f6rebileceksiniz. \u00d6nceliklendirme matrisi nedir? \u00d6nceliklendirme matrisi (veya \u00f6ncelik matrisi ), farkl\u0131 se\u00e7enekleri \u00e7e\u015fitli kriterlere g\u00f6re kar\u015f\u0131la\u015ft\u0131rman\u0131za olanak tan\u0131yan bir matristir; bu […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-343","post","type-post","status-publish","format-standard","hentry","category-kalite-yonetimi"],"yoast_head":"\n
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![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/matrice-de-priorite-matrice-de-priorisation.png\")
<\/figure>\n![\"\u00f6nceliklendirme](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/exemple-de-matrice-de-priorite.png\")
<\/figure>\n