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An intelligent approach to prioritize logistics requirements in food industry

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Date
2014
Author
Ayaǧ, Zeki
Abstract
The aim of this study is to analyze dairy food industry and to determine the priorities of important logistics requirements (LR) based on customer requirements as a part of a supply management system. For product or service development quality function deployment (QFD) is a useful approach to maximize customer satisfaction. The determination of the priorities of the LR is an important issue during QFD process for product or service design. For this reason in this work an integrated approach integrating fuzzy logic and QFD methods is proposed to identify and prioritize the LR in dairy food industry for the improvement of customer satisfaction. In addition a case study in Turkish dairy food industry is given to illustrate the proposed approach for potential readers. In short the main contribution of the proposed approach with the case study is to help managers understand their customer requirements determine the related LR and rank them by weight in order to prioritize (i.e. determining the sequences of putting into action) for improving the level of customer satisfaction. © ExcelingTech Pub UK.

Source

International Journal of Supply Chain Management

Issue

4

Volume

3

Pages

29-38

URI

https://hdl.handle.net/20.500.12469/1366
http://ojs.excelingtech.co.uk/index.php/IJSCM/article/view/1013

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Endüstri Mühendisliği / Industrial Engineering [131]

Keywords

Dairy customer needs
Dairy logistics requirements
Food industry
Fuzzy logic
Fuzzy QFD
Supply chain management

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