YEŞİL SATIN ALMA VE YEŞİL TEDARİKÇİ SEÇİMİ: BEYAZ EŞYA SEKTÖRÜNDE BİR UYGULAMA

Yıl 2020, Cilt: 8 Sayı: 4, 1202 - 1222, 25.12.2020

Ayberk Soyer , Beste Türkay

https://doi.org/10.21923/jesd.706339

Cited By: 2

Öz

Teknolojinin artan bir hızla gelişmesi, günümüzde işletmelerin daha fazla çeşit ve miktarda ürünü, daha kısa sürelerde pazara sunabilmelerine imkân sağlamaktadır. Bu durum rekabet avantajı elde etmek isteyen işletmeler için bir fırsat yaratmakla beraber, arz miktarlarındaki yüksek artış oranlarına karşılık taleplerin aynı oranda artmaması ve tüketicilerin daha bilinçli ve duyarlı hale gelmeleri, bu işletmeleri yoğun bir rekabet ortamı içerisine sokmaktadır. Doğal kaynakların hızla tükenmesi, iklim değişikliği, çevre kirliliğinin artması, vb. durumların yarattığı olumsuz etkiler sebebiyle toplumdaki farkındalığın artması ve tüketicilerin daha çevreci ürünleri tercih etmeleri, medyanın ve sivil toplum kuruluşlarının çevresel konulara gösterdiği hassasiyet, genel ve yerel otoriteler tarafından yapılan düzenlemeler, vb. koşullar, işletmeleri ürün yaşam döngüsü boyunca tüm aşamalarda çevreye duyarlı olmaya zorlamaktadır. Bu duyarlılık, üretimde kullanılan her türlü kaynağın azaltılmasını, üretim süreçlerinin çevreyle dost olacak şekilde yapılandırılmasını, kullanılan ambalaj malzemelerinin ve taşıma yöntemlerinin çevreyle dost olması ve yeniden kullanım konusunda gerekli adımların atılmasını gerekmektedir. Bu noktada ürün yaşam döngüsünün ilk aşaması olan satın alma konusunda önemli iyileştirme potansiyeli bulunmakta ve üretimde kullanılacak her türlü girdinin temini için en uygun tedarikçinin seçimi en önemli aşamalardan biri haline gelmektedir. Bu değerlendirmeler ışığında yapılan bu çalışma ile amaçlanan, satın alma süreçlerinde geleneksel tedarikçi seçimi yerine, yeşil tedarikçi seçim süreçlerinin araştırılması ve yeşil tedarikçi seçiminde kullanabilecek kriterlerin belirlenmesidir. Yapılan araştırmalardan hareketle yeşil tedarikçi seçimi için yeni bir karar verme modeli geliştirilmiş ve Türkiye ve Avrupa pazarında önemli bir paya sahip beyaz eşya üreticilerinden biri için tedarikçi seçimi süreci bir vaka analizi ile somutlaştırılmıştır.

Anahtar Kelimeler

Yeşil satın alma, Yeşil tedarikçi seçimi, Analitik ağ süreci, Karar verme

GREEN PURCHASING AND GREEN SUPPLIER SELECTION: AN APPLICATION IN THE WHITE GOODS SECTOR

Öz

The increasing speed of technological advancement in recent years, allows companies to offer more varieties and quantities of products to the market in shorter periods. While this creates an opportunity for the companies that want to gain competitive advantage, the fact that the demands do not increase at the same rate with supply and the consumers become more conscious and sensitive, puts these companies in an intense competitive environment. Due to the negative effects of climate change, the rapid depletion of natural resources, increased environmental pollution, etc., environmental awareness in the society increases. As a result, majority of the consumers tend to prefer more environmentally friendly products, the media and non-governmental organizations become more sensitive to environmental issues, and governments put more regulations on environmental protection. All these conditions force companies to be environmentally conscious at all stages throughout the product life cycle, which, in turn, means taking the necessary steps to reduce all kinds of resources used in production, reconfiguring the production processes, using environmentally friendly packaging materials and transportation methods and considering reuse issues. At this point, there is a significant improvement potential in purchasing process, which is the first stage of the product life cycle, and the selection of the most suitable supplier becomes one of the most important issues. For this reason, this study aims to propose a decision making model for green supplier selection to apply this model in one of the biggest white goods manufacturers in Turkey.

Anahtar Kelimeler

Green Purchasing, Green Supplier Selection, Analytic Network Process, Decision Making

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