Understanding customer needs through quantitative analysis of Kano's model

2010 ◽  
Vol 27 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Ting Wang ◽  
Ping Ji
Keyword(s):  
Quantitative Analysis ◽  
Customer Needs ◽  
Kano’S Model

Understanding customer requirements through quantitative analysis of an improved fuzzy Kano’s model

2017 ◽  
Vol 231 (4) ◽  
pp. 699-712 ◽  
Author(s):  
Lina He ◽  
Xinguo Ming ◽  
Miao Li ◽  
Maokuan Zheng ◽  
Zhitao Xu
Keyword(s):  
Quantitative Analysis ◽  
Global Market ◽  
Requirement Analysis ◽  
Primary Concern ◽  
Customer Requirements ◽  
Customer Requirement ◽  
Proposed Model ◽  
Kano’S Model ◽  
Maximizing Deviation Method ◽  
Importance Assessment

Customer requirement analysis has become a primary concern for companies who compete in the global market. Kano’s model, as a customer-driven tool, has been widely used for customer requirement analysis in product improvement. Although a number of authors have improved the traditional Kano’s model, there has been a limitation of dealing with the fuzzy and uncertainty of human thought under multi-granularity linguistic environment. Furthermore, the traditional Kano’s model faces problems regarding quantitative data computation and customer requirements importance assessment. In this article, an improved fuzzy Kano’s model is proposed to analyze customer requirements under uncertain environment. A 2-tuple linguistic fuzzy Kano’s questionnaire is developed to model the uncertainty and diversity of customers’ assessments using 2-tuple linguistic variables under multi-granularity linguistic environment. Then, a comprehensive and systematic methodology is presented to prioritize customer requirements through quantitative analysis of improved fuzzy Kano’s model. This method integrates subjective judgments assigned by decision maker, objective weights based on maximizing deviation method and customer satisfaction contribution to determine the priority ratings of customer requirements. A case study of combine harvester development is presented to evaluate the proposed model.

An Approach to Dealing with Importance Weights of Customer Needs and Customer Dissatisfaction in Quality Function Deployment Optimization

2014 ◽  
Vol 931-932 ◽  
pp. 1636-1641 ◽  
Author(s):  
Dini Endah Setyo Rahaju ◽  
Dian Retno Sari Dewi
Keyword(s):  
Customer Satisfaction ◽  
Product Development ◽  
Optimization Model ◽  
Quality Function Deployment ◽  
Satisfaction Level ◽  
Quality Function ◽  
Customer Needs ◽  
Kano’S Model ◽  
Customer Dissatisfaction ◽  
Development Resource

This paper explains about the necessity of Quality Function Deployment (QFD) optimization model due to the absence of the formal methodology in QFD for allocating the available product development resource to determine the best possible product specifications. The proposed optimization model also deals with the improper handling of customer need’s importance weight and customer’s satisfaction and dissatisfaction feeling in the QFD process.QFD assumes that the customer need’s importance value is equivalent with the satisfaction level perceived by the customer when the need is met. However, most of the time, a fulfillment of an extremely important customer need does not lead to any improvement in customer satisfaction.QFD also considers that customer satisfaction level will increase automatically as the customer dissatisfaction sources are eliminated. This is not always true, since the sources of customer satisfaction and dissatisfaction are not always the same. Thus, fulfilling a certain customer need to improve customer satisfaction does not automatically reduce the customer dissatisfaction, and vice versa. In order to explain the effect of the customer needs fulfillment on customer satisfaction and/or dissatisfaction, Kano’s model is used. A pencil design example is also presented in the paper. Using Kano’s model in QFD optimization helps to distribute the available product development resource in an effective way to increase the customer satisfaction and to reduce the customer dissatisfaction.

Understanding customer requirements of corrugated industry using Kano model

2018 ◽  
Vol 35 (8) ◽  
pp. 1653-1670 ◽  
Author(s):  
Mahima Gupta ◽  
Charu Shri
Keyword(s):  
Hybrid Approach ◽  
Academic Research ◽  
Golden Rule ◽  
Strategy Management ◽  
Customer Requirements ◽  
Kano Model ◽  
Content Type ◽  
Customer Needs ◽  
Study Approach ◽  
Kano’S Model

Purpose The purpose of this paper is to illuminate concerned companies to develop a better understanding of customer needs through reference of Kano model. Design/methodology/approach This paper facilitates decision-making process for the productive use of strategy management through a case study approach for corrugated industries in India. A hybrid approach is employed by calculating coefficients of satisfaction with S-CR (customer requirements and customer satisfaction (CS)) relationship functions and self-stated importance evaluation. Findings Kano’s model provides an effective approach for both industries and academic research in classifying different customer requirements into different categories based on their impact on CS. It empowers to obtain competitive and factual information about customer needs. Research limitations/implications This study is limited in terms of sample size, domain of the study and the coverage of participants. Originality/value This paper suggests a valuable Kano approach for concerned organizations and practitioners, to correctly identify customer requirements and channelize their resources in right direction. Fulfilling customer requirements by providing them satisfaction and delight timely is only golden rule for sustaining in this competitive world.

Integrated Quantitative Analysis of Customer Satisfaction Based on Kano's Model

2012 ◽  
Vol 224 ◽  
pp. 358-361
Author(s):  
Zhi Jun Fan ◽  
Zhao Liang Jiang
Keyword(s):  
Quantitative Analysis ◽  
Customer Satisfaction ◽  
Product Configuration ◽  
Customer Requirements ◽  
Kano’S Model ◽  
Group Satisfaction

The satisfaction of customer requirements (CRs) is the objective of product configuration. A methodology Based on the Kano's model was proposed to explore customers' stated needs and unstated desires and to resolve them into different categories which have different impacts on customer satisfactions (CSs). The customer satisfactions are classified into group satisfaction and individual satisfaction, and each of them has three types with Kano theory. Group requirements items were selected frequently by the same kind of customers. Individual requirements were specified by the customer himself. Based on a combination of group satisfactions and individual satisfactions, the integrated satisfaction was determined. A case study is provided to illustrate the effectiveness of the presented method.

An Improved Quantitative Image Analyser

1977 ◽  
Vol 35 ◽  
pp. 226-227
Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor
Keyword(s):  
Feature Extraction ◽  
Quantitative Analysis ◽  
Frequency Content ◽  
General Sense ◽  
Physical Measurements ◽  
Quantitative Image ◽  
Image Analyser ◽  
Automatic Methods ◽  
Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

Quantification of Silica Uptake by Alveolar Macrophages - An Emperical Scanning Electron Microprobe Method

1982 ◽  
Vol 40 ◽  
pp. 332-333
Author(s):  
V. V. Damiano ◽  
R. P. Daniele ◽  
H. T. Tucker ◽  
J. H. Dauber
Keyword(s):  
Quantitative Analysis ◽  
Alveolar Macrophages ◽  
Bulk Sample ◽  
Silica Particles ◽  
Empirical Method ◽  
Phagocytic Cells ◽  
Calibration Standards ◽  
X Ray ◽  
Accurate Quantitative Analysis ◽  
Scanning Electron

An important example of intracellular particles is encountered in silicosis where alveolar macrophages ingest inspired silica particles. The quantitation of the silica uptake by these cells may be a potentially useful method for monitoring silica exposure. Accurate quantitative analysis of ingested silica by phagocytic cells is difficult because the particles are frequently small, irregularly shaped and cannot be visualized within the cells. Semiquantitative methods which make use of particles of known size, shape and composition as calibration standards may be the most direct and simplest approach to undertake. The present paper describes an empirical method in which glass microspheres were used as a model to show how the ratio of the silicon Kα peak X-ray intensity from the microspheres to that of a bulk sample of the same composition correlated to the mass of the microsphere contained within the cell. Irregular shaped silica particles were also analyzed and a calibration curve was generated from these data.

Lateral resolution of the electron microbeam analysis

1978 ◽  
Vol 36 (1) ◽  
pp. 542-543
Author(s):  
H.J. Dudek
Keyword(s):  
Quantitative Analysis ◽  
Depth Resolution ◽  
Lateral Resolution ◽  
Cylindrical Particle ◽  
Correction Procedure ◽  
X Ray ◽  
Element Concentrations ◽  
Microbeam Analysis ◽  
The Matrix

The chemical inhomogenities in modern materials such as fibers, phases and inclusions, often have diameters in the region of one micrometer. Using electron microbeam analysis for the determination of the element concentrations one has to know the smallest possible diameter of such regions for a given accuracy of the quantitative analysis.In th is paper the correction procedure for the quantitative electron microbeam analysis is extended to a spacial problem to determine the smallest possible measurements of a cylindrical particle P of high D (depth resolution) and diameter L (lateral resolution) embeded in a matrix M and which has to be analysed quantitative with the accuracy q. The mathematical accounts lead to the following form of the characteristic x-ray intens ity of the element i of a particle P embeded in the matrix M in relation to the intensity of a standard S

An example of spectrum imaging used for comparison of EELS quantitative analysis techniques on Al-Li

1991 ◽  
Vol 49 ◽  
pp. 726-727
Author(s):  
John A. Hunt
Keyword(s):  
Quantitative Analysis ◽  
Large Data ◽  
Difference Spectrum ◽  
Large Data Sets ◽  
Foil Thickness ◽  
Data Sets ◽  
Analysis Techniques ◽  
Spectrum Imaging ◽  
Normal Spectrum ◽  
Electron Energy Loss

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].

The use of a Bent Grid to Improve the take-Off Angle for Electron Probe Analysis

1976 ◽  
Vol 34 ◽  
pp. 360-361
Author(s):  
Delbert E. Philpott ◽  
David Leaffer
Keyword(s):  
Quantitative Analysis ◽  
Tilt Angle ◽  
Count Rate ◽  
Electron Probe ◽  
Open Area ◽  
Electron Probe Analysis ◽  
Background Ratio ◽  
Probe Analysis

There are certain advantages for electron probe analysis if the sample can be tilted directly towards the detector. The count rate is higher, it optimizes the geometry since only one angle need be taken into account for quantitative analysis and the signal to background ratio is improved. The need for less tilt angle may be an advantage because the grid bars are not moved quite as close to each other, leaving a little more open area for observation. Our present detector (EDAX) and microscope (Philips 300) combination precludes moving the detector behind the microscope where it would point directly at the grid. Therefore, the angle of the specimen was changed in order to optimize the geometry between the specimen and the detector.

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