An axiomatic design approach to the classification of reverse logistics network design studies under fuzziness

Didem Cinar, Gül Tekin Temur*, Y. Ilker Topcu

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Bölümbilirkişi

Özet

Reverse logistics (RL) is recently receiving much attention because of growing environmental problems. Reusing, recycling and remanufacturing are considered as environmentally and financially effective processes for various drivers - government, corporations and customers. Because many parameters have to be defined by decision makers based on their experiences in RL, a significant number of articles that apply fuzzy set theory have been written in the relevant literature. This paper proposes a model with an axiomatic design (AD) approach on the subject of RL and analyzes the fuzzy set theory used models in relation to steps defined in AD model. AD is applied to generate a conceptual framework for RL network design by distinguishing objectives and means of RL at different levels. The model proposed in this study can be used as a road map for both organizations needing to enhance an existing network, organizations intending to design a network from the beginning and researchers who want to advance in their RL studies by using fuzzy based models.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıSupply Chain Management Under Fuzziness
Ana bilgisayar yayını alt yazısıRecent Developments and Techniques
YayınlayanSpringer Verlag
Sayfalar639-654
Sayfa sayısı16
ISBN (Basılı)9783642539381
DOI'lar
Yayın durumuYayınlandı - 2014

Yayın serisi

AdıStudies in Fuzziness and Soft Computing
Hacim313
ISSN (Basılı)1434-9922

Parmak izi

An axiomatic design approach to the classification of reverse logistics network design studies under fuzziness' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap