Model-Based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs

Products are successful because they meet customer needs. However, many customer needs are not expressed in measurable terms. In addition, when such needs are achieved by a complex system made of hardware parts and software, decomposing customer needs to part-level specification is not a trivial task. This paper presents a model-based approach to address such problems. In the case study, the customer need was the noise and vibration level of an unconventional gasoline engine system when running at idle. The hardware component whose performance tolerance needed to be specified was a new type of fuel injectors. These new fuel injectors had higher piece-to-piece performance variations than the conventional fuel injectors. It was unclear whether such variation was acceptable for customer perceived powertrain quality. A virtual powertrain system simulation model was used to analytically evaluate the impact of the fuel injector performance variability. Monte Carlo simulation was carried out to assess the impact of injector variability. The results from the simulation were further refined using engine hardware testing. This study made recommendations for the acceptable level of hardware tolerance, which was different from what the supplier of the injectors had suggested.

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A Kano Model Based Linguistic Application for Customer Needs Analysis

International Journal of Engineering Business Management ◽

10.5772/50934 ◽

2011 ◽

Vol 3 ◽

pp. 12 ◽

Cited By ~ 3

Author(s):

Md Mamunur Rashid ◽

Jun'ichi Tamaki ◽

A.M.M. Sharif Ullah ◽

Akihiko Kubo

Keyword(s):

Needs Analysis ◽

Kano Model ◽

Customer Needs ◽

Model Based

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CUSTOMER NEEDS SIMULATION SYSTEM FOR INVESTIGATING MUST-BE ATTRIBUTE

Journal of Mechanical Engineering ◽

10.3329/jme.v44i1.19500 ◽

2014 ◽

Vol 44 (1) ◽

pp. 64-72

Author(s):

Md Mamunur Rashid

Keyword(s):

Product Development ◽

Simulation System ◽

Critical Number ◽

Kano Model ◽

Computational Tools ◽

Development Team ◽

Customer Needs ◽

Product Development Team ◽

Model Based ◽

Key Features

All the key features, functions, characteristics, and spirit of a design are needed for a full concept for a product. Moreover, every product serves a certain purpose; if a product cant serve its purpose, then its useless. This is the basis of design, though it can hardly be evaluated and coped with properly. This type attribute is called must-be attribute. Thus, Many trouble occur if Must design is ignored; consequently design cannot provide a design warranty. Thus, computational tools are needed to assist a product development team to determine beforehand the critical number of respondents to make a right decision. In this regard, absolutely this paper presents a Kano model based customer needs simulation system for investigating must-be attribute. DOI: http://dx.doi.org/10.3329/jme.v44i1.19500

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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