SÜRDÜRÜLEBİLİR TEDARİK ZİNCİRİ YÖNETİMİNİN DEĞERLENDİRİLMESİ İÇİN ANALİTİK AĞ SÜRECİ YAKLAŞIMI

Year 2022, Volume: 21 Issue: 45, 1032 - 1054, 30.12.2022

Emine Elif Nebati , Mehmet Fatih Acar

https://doi.org/10.46928/iticusbe.1066741

Abstract

Özet
Amaç– Bu çalışmanın amacı, sürdürülebilir tedarik zinciri yönetimi performansını iyileştirmede etkili faktörleri listelemek ve en uygun alternatif faaliyeti belirlemektir.
Yöntem– Çalışmada kullanılan veriler inşaat sektöründe çalışan işletme yöneticileri ile yüz yüze görüşmeler ve literatür taraması yoluyla elde edilmiştir. Çok kriterli karar verme yöntemlerinden biri olan ANP yöntemi ile tedarik zinciri yönetimini etkileyen faktörlere öncelik verilmiş ve alternatifler değerlendirilmiştir. On beş alt kriter ve beş alternatif belirlendi.
Bulgular – ANP ile sürdürülebilir bir tedarik zinciri yönetimi için karar destek modeli önerisi sunulmuştur. Çalışmanın sonucu, çevresel, ekonomik ve sosyal açıdan sürdürülebilir tedarik zincirlerine ulaşmak için ana itici güçlerin çevresel kalite yönetimi, stratejik yönetim, bilgi paylaşımı, teknoloji verimliliği ve müşterilerin sesi olduğunu göstermektedir.
Özgünlük– Sanayileşmenin artan olumsuz etkileriyle birlikte küresel ve çok uluslu şirketler sürdürülebilir tedarik zinciri yönetimine daha fazla önem vermektedir. Şirketler, müşteri memnuniyetini sürdürmek ve verimli bir operasyonel ve finansal sonuç geliştirmek için uygulanabilir ve entegre tedarik zinciri yönetimi geliştirmelidir. Tedarik zinciri yönetimindeki üyelerin sürekli etkileşim içinde olması gerekir. Aksi takdirde müşteri memnuniyetsizliği, dağıtım maliyetleri, stok fazlası gibi çeşitli sorunlarla karşılaşılmaktadır. Sorunlar etkin tedarik zinciri yönetimi ile çözülebilir. Bu çalışma ile, kısıtlı alandaki sürdürülebilir tedarik zinciri yönetiminin inşaat sektörü uygulaması ile sektöre ve yazına katkı sağlaması umulmaktadır.

Keywords

Analytic network process, Sustainable supply chain management, Construction industry, Analytic network process, Sustainable supply chain management, Construction industry

ANALYTIC NETWORK PROCESS APPROACH FOR EVALUATING SUSTAINABLE SUPPLY CHAIN MANAGEMENT

Abstract

Abstract
Purpose– The aim of this study is to list the effective factors in improving sustainable supply chain management performance and to determine the most appropriate alternative activity.
Design/methodology/approach – The data used in the study were obtained through face-to-face interviews with business managers working in construction industry and a literature review. With the ANP method, which is one of the multi-criteria decision making methods, the factors affecting supply chain management were prioritized and alternatives were evaluated. Fifteen sub-criteria and five alternatives were identified.
Findings – Proposal of decision support model is presented for a sustainable supply chain management with ANP . The result of the study shows the main driving powers for achieving sustainable supply chains for both environmental, economic and social are environmental quality management, strategic management, sharing information, technology efficiency and voice of customers.
Originality – With the increasing negative effects of industrialization, global and multinational companies are giving more importance to sustainable supply chain management. Companies must develop viable and integrated supply chain management to maintain customer satisfaction and develop an efficient operational and financial result. Members in supply chain management need to be in constant interaction. Otherwise, various problems such as customer dissatisfaction, distribution costs, and excess stock are encountered. Problems can be solved with effective supply chain management. With this study, it is hoped that sustainable supply chain management, whose importance is increasing day by day, will contribute to the sector and the literature with the construction sector application.

Keywords

Analytic network process, Sustainable supply chain management, Construction industry, Analytic network process, Sustainable supply chain management, Construction industry

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