An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model

Service quality is the soul of express enterprises forever. It is of great practical significance for winning customer satisfaction, improving the market competition, and realizing sustainable performance. Unlike tangible products, express delivery service has the characteristics of intangibility, h...

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Main Authors: Hongmei Shan, Xinmeng Fan, Siyu Long, Xuejing Yang, Shuhan Yang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/5945908
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author Hongmei Shan
Xinmeng Fan
Siyu Long
Xuejing Yang
Shuhan Yang
author_facet Hongmei Shan
Xinmeng Fan
Siyu Long
Xuejing Yang
Shuhan Yang
author_sort Hongmei Shan
collection DOAJ
description Service quality is the soul of express enterprises forever. It is of great practical significance for winning customer satisfaction, improving the market competition, and realizing sustainable performance. Unlike tangible products, express delivery service has the characteristics of intangibility, heterogeneity, indivisibility, and instability. While customer demands are complex and changeable and unpredictable, incorporating complex customer requirements into service design has been a growing interest of researchers and practitioners. This paper proposed an optimization design framework based on the quantitative Kano (QKNO) and the fuzzy quality function deployment (FQFD) to effectively achieve the best matching of enterprise service elements under the uncertainty and imprecise judgment information. An empirical study is conducted to verify the feasibility of the proposed approach. The results show that the framework could guide the express company to prioritize the enterprise service elements to maximize customer satisfaction and provide a reasonable budget allocation scheme to set the best resources match. It has theoretical and practical meaning for express enterprises to implement customization service strategy and improve service quality under the limited budget, which could be further extended to other service industries to make optimization decisions.
format Article
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institution Kabale University
issn 1607-887X
language English
publishDate 2022-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-ffe4c896b0e84a2b8bd4fd56581d4e042025-02-03T05:53:07ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/5945908An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD ModelHongmei Shan0Xinmeng Fan1Siyu Long2Xuejing Yang3Shuhan Yang4Department of Logistics Management College of Modern PostsDepartment of Logistics Management College of Modern PostsShaanxi Coal Chemical Materials Storage and Transportation Co. LTDDepartment of Logistics Management College of Modern PostsDepartment of Statistics Faculty of ScienceService quality is the soul of express enterprises forever. It is of great practical significance for winning customer satisfaction, improving the market competition, and realizing sustainable performance. Unlike tangible products, express delivery service has the characteristics of intangibility, heterogeneity, indivisibility, and instability. While customer demands are complex and changeable and unpredictable, incorporating complex customer requirements into service design has been a growing interest of researchers and practitioners. This paper proposed an optimization design framework based on the quantitative Kano (QKNO) and the fuzzy quality function deployment (FQFD) to effectively achieve the best matching of enterprise service elements under the uncertainty and imprecise judgment information. An empirical study is conducted to verify the feasibility of the proposed approach. The results show that the framework could guide the express company to prioritize the enterprise service elements to maximize customer satisfaction and provide a reasonable budget allocation scheme to set the best resources match. It has theoretical and practical meaning for express enterprises to implement customization service strategy and improve service quality under the limited budget, which could be further extended to other service industries to make optimization decisions.http://dx.doi.org/10.1155/2022/5945908
spellingShingle Hongmei Shan
Xinmeng Fan
Siyu Long
Xuejing Yang
Shuhan Yang
An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model
Discrete Dynamics in Nature and Society
title An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model
title_full An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model
title_fullStr An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model
title_full_unstemmed An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model
title_short An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model
title_sort optimization design method of express delivery service based on quantitative kano model and fuzzy qfd model
url http://dx.doi.org/10.1155/2022/5945908
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