An intelligent approach to prioritize logistics requirements in food industry

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Date

2014

Authors

Ayağ, Zeki

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Volume Title

Publisher

ExcelingTech Publishers

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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.

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Keywords

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

Turkish CoHE Thesis Center URL

Citation

3

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N/A

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N/A

Source

Volume

3

Issue

4

Start Page

29

End Page

38