An uncertain QFD approach for the strategic management of logistics services
type: Item
instance of: scholarly article
title: An uncertain QFD approach for the strategic management of logistics services
zbMATH Open document ID: 1400.90049
DOI: 10.1155/2016/1486189
author: Yanyan Li
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: Due to customers' growing concern about logistics performances related to products, logistics service increasingly contributes to the core competence of an enterprise or product, which calls an appropriate tool to develop effective strategic actions to improve logistics performances and gain customer satisfaction. Therefore, an uncertain quality function deployment (QFD) approach for selecting the most effective strategic actions in terms of efficiency to meet the customer requirements is developed in this paper, which integrates uncertainty theory into the traditional QFD methodology in order to rationally deal with imprecise information inherently involved in the QFD process. The framework and systematic procedures of the approach are presented in the context of logistics services. Specifically, the calculations for the prioritization of strategic actions are discussed in detail, in which uncertain variables are used to capture the linguistic judgements given by customers and experts. Applications of the proposed approach are presented as well for illustration.
Mathematics Subject Classification ID: 90B06
Mathematics Subject Classification ID: 90C70
zbMATH DE Number: 6952789
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/1486189
OpenAlex ID: W2292729767
Wikidata QID: Q59130975
cites work: Uncertainty theory
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cites work: Multi-objective optimization in uncertain random environments
cites work: A new approach to quality function deployment planning with financial consideration
description: scientific article; zbMATH DE number 6952789