Strategic management of logistics service: A fuzzy QFD approach

Bottani, Eleonora; Rizzi, Antonio

doi:10.1016/j.ijpe.2005.11.006

Cited by 214 publications

(118 citation statements)

References 19 publications

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“…Besides its use as a measurement tool for sustainability, fuzzy logic (Zadeh, 1965) is extensively applied as an analysis methodology in such areas as company organisation and financial economics (Shapiro, 2004;Cassia et al, 2005;Sheen, 2005;Tiryaki and Ahlatcioglu, 2005;Bottani and Rizzi, 2006;Gunasekaran et al, 2006;Cheng et al, 2007;Lin et al, 2007;Perez Gladish et al, 2007;Wu and Lee, 2007;, a fact that emphasizes the relevance of mathematics of uncertainty in environments submitted to profound business changes (Gil-Aluja 1996).…”

Section: Fuzzy Logic For Csrmentioning

confidence: 99%

Evaluating sustainability in organisations with a fuzzy logic approach

Muñoz

Rivera

Abadía

2008

Industrial Management &Amp; Data Systems

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Design/methodology/approach -This paper analyses the sustainability approach of a sample of 52 Spanish listed firms. This process is based on the study of different indexes generated in order to evaluate the company's commitment through its stakeholders, the social and financial performance of these organisations, and the relationship between them. Previous results showed a positive and not significant relationship between these variables and a positive financial performance. This paper replicates a former research by introducing a fuzzy-logic-based methodology in order to generate the aforementioned indexes. Research limitations/implications -The unavailability of a long series of organisations sustainability information is an obstacle for a broader analysis. This research could motivate the usefulness of the fuzzy logic methodology for analysing the business sustainability approach and to develop studies on the corporate social performance.Originality/value -The use of fuzzy logic methodology for the generation of indexes related to the organisations social responsibility and sustainability results.

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Section: Fuzzy Logic For Csrmentioning

confidence: 99%

Evaluating sustainability in organisations with a fuzzy logic approach

Muñoz

Rivera

Abadía

2008

Industrial Management &Amp; Data Systems

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“…Starting from the work of Bottani and Rizzi (2006), we develop a tool suitable to be adopted in the logistics and customer service. In addition, the primary objective is to introduce a methodology that could be directly adopted by practitioners in the logistics field.…”

Section: Customer Service and Customer Service Strategymentioning

confidence: 99%

“…According to Bottani and Rizzi (2006), QFD is composed of four successive matrices: customer requirement planning matrix, product characteristics deployment matrix, process and quality control matrix, and operative instruction matrix. Here, the current research concentrates on the first matrix (customer requirement planning matrix).…”

Section: Qfdmentioning

confidence: 99%

A fuzzy QFD methodology to improve logistics service

Noori¹,

Zandagahi²,

Lali³

et al. 2014

10.5267/j.dsl

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Customer service is increasingly being recognized as a source of competitive advantage. The keys to provide effective customer service are determining the customer needs, accurately, and meeting and exceeding the needs in a consistent manner. Companies should adapt a strategic, proactive focus on customer service based on understanding logistic processes and designing the logistics system to meet their needs. This paper proposes an approach based on the quality function deployment (QFD), for ranking strategic actions to improve logistics service. The paper addresses the issue of how to deploy the house of quality (HOQ) to effectively and efficiently improve logistics processes and thus customer satisfaction. For data collection, fuzzy logic is used to deal with the ill-defined nature of the qualitative linguistic judgments required in the proposed HOQ. The methodology has been tested by means of a real case application, which refers to an Iranian company operating in the manufacturing industry.

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“…In another article, Bouchereau and Rowlands [81] outlined how techniques such as fuzzy logic, artificial neural networks (ANNs), and the Taguchi method can be combined with QFD to resolve some of its drawbacks, and proposed a synergy between n QFD and the three methods and techniques reviewed. Bottani and Rizzi [82] also discussed a strategic management approach of logistics service using a fuzzy QFD approach. However, none of the non-linear fuzzy model (Fung), Fuzzy linguistic variable approach (Lin), fuzzy optimization model (Bia and Kwong), extended QFD fuzzy set theory (Verma), combined QFD-ANN-Taguchi method (Bauchereau and Rolands) or fuzzy strategic management approach (Bottani and Rizzi) addressed the issue of incorporating cost concept in the models.…”

Section: Fuzzy Qfdmentioning

confidence: 99%

Manufacturing Quality Function Deployment: Literature Review and Future Trends

Oke

2013

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Abstract.A comprehensive review of the Quality Function Deployment (QFD) literature is made using extensive survey as a methodology. The most important results of the study are: (i) QFD modelling and applications are one-sided; prioritisation of technical attributes only maximise customer satisfaction without considering cost incurred (ii) we are still missing considerable knowledge about neural networks for predicting improvement measures in customer satisfaction (iii) further exploration of the subsequent phases (process planning and production planning) of QFD is needed (iv) more decision support systems are needed to automate QFD (v) feedbacks from customers are not accounted for in current studies.Keywords: QFD, literature review, house of quality, voice of the customer, customer satisfaction, improvement.

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Strategic management of logistics service: A fuzzy QFD approach

Cited by 214 publications

References 19 publications

Evaluating sustainability in organisations with a fuzzy logic approach

Evaluating sustainability in organisations with a fuzzy logic approach

A fuzzy QFD methodology to improve logistics service

Manufacturing Quality Function Deployment: Literature Review and Future Trends

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