Customer requirements: the driver for engineering solutions

2011 ◽  
Author(s):  
G.E. Smith
Keyword(s):  
Customer Requirements

Customer satisfaction in purchasing mobile phones: An explorative study

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 1751-1757
Author(s):  
Rohith Raja M ◽  
Ida David
Keyword(s):  
Customer Satisfaction ◽  
Mobile Phones ◽  
Current Trend ◽  
Essential Element ◽  
Manufacturing Companies ◽  
Customer Requirements ◽  
Business World ◽  
Large Market ◽  
Explorative Study

Customers hold the key role in determining the market of any material. The demand and requirements of the customers are taken into account while the manufacturers produce any product. Mobile phones, being an essential element in today’s world, occupy a large market in today’s business world. Customer satisfaction is the prime motive of the manufacturing companies. Based on a survey conducted, we study the current trend of phone purchase in India and thus analyze the customer’s responses towards different brands and their products. The results depict which brands satisfy the customer requirements.

A Naïve Bayes approach to map customer requirements to product variants

2013 ◽  
Vol 26 (3) ◽  
pp. 501-509 ◽  
Author(s):  
Yue Wang ◽  
Mitchell M. Tseng
Keyword(s):  
Naive Bayes ◽  
Naïve Bayes ◽  
Customer Requirements ◽  
Bayes Approach

Ranking Customer Requirements in QFD by Factoring in Their Interrelationship Values

2007 ◽  
Vol 14 (4) ◽  
pp. 53-60 ◽  
Author(s):  
J. R. Sharma ◽  
A. M. Rawani
Keyword(s):  
Customer Requirements

Settings, Experimentation and Evaluation of the Simulation Models

2013 ◽  
Vol 309 ◽  
pp. 366-371 ◽  
Author(s):  
František Manlig ◽  
Radek Havlik ◽  
Alena Gottwaldova
Keyword(s):  
Simulation Model ◽  
New Technology ◽  
Simulation Models ◽  
Manufacturing Processes ◽  
Customer Requirements ◽  
Evaluation Functions ◽  
Operational Management ◽  
Minimum Number ◽  
User Friendly ◽  
Setting Parameters

This paper deals with research in computer simulation of manufacturing processes. The paper summarizes the procedures associated with developing the model, experimenting with and evaluating the model results. The key area is of experimentation with the simulation model and evaluation using indicators or multi-criteria functions. With regards to the experiment the crucial variables are the simulation model. The key ideas are to set the number of variables, depending on what a given simulation will be. For example, when introducing new technology into production, modify the type of warehouse, saving workers, thus economizing. The simulation models for the operational management uses simplified models, if possible, a minimum number of variables to obtain the result in shortest possible time. These models are more user friendly and the course will be conducted mostly in the background. An example of a criteria function is the number of parts produced or production time. Multi-criteria function has given us the opportunity to make better quality decisions. It is based on the composition of several parameters, including their weight to one end point. The type of evaluation functions, whether it is an indicator or criteria function is selected and based on customer requirements. In most cases it is recommended to use the multi-dimensional function. It gives us a more comprehensive view of the results from the model and facilitates decision-making. The result of this paper is a display of setting parameters for the experimentation on a sample model. Furthermore, the comparisons of results with a multi-criteria objective function and one-criterion indicator.

An Object-Oriented Approach to the Engineering Design Process

1995 ◽  
Author(s):  
Tapio Korpela ◽  
Ari Heikkinen ◽  
Tatu Leinonen
Keyword(s):  
Computer Aided Design ◽  
Development Process ◽  
Object Oriented ◽  
Machine Design ◽  
Customer Requirements ◽  
Engineering Design Process ◽  
Object Oriented Approach ◽  
Aided Design ◽  
The University ◽  
Oriented Approach

Abstract Laboratory of Machine Design at the University of Oulu has modelled the production information for a gear transmission unit in co-operation with a Finnish gear manufacturer, Santasalo Ltd. The basic idea was to integrate computer aided design into modern FMS-based production activities. The main goal in this project is to capture the whole gear box development process from customer requirements to manufacturable assembly and detail information in OOA models.

Service quality function deployment by the C-shaped QFD 3D matrix

2018 ◽  
Vol 25 (9) ◽  
pp. 3386-3405 ◽  
Author(s):  
Maryam Hassani ◽  
Arash Shahin ◽  
Manouchehr Kheradmandnia
Keyword(s):  
Quality Function Deployment ◽  
Design Methodology ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Customer Requirements ◽  
Content Type ◽  
Process Characteristics ◽  
The Matrix ◽  
3D Matrix ◽  
Simultaneous Comparison

Purpose The purpose of this paper is to examine the application of C-shaped QFD 3D Matrix in comparing process characteristics (PC), performance aspects (PA) and customer requirements, simultaneously and to prioritize the first two sets, respectively. Design/methodology/approach A three dimensional matrix has been developed with three sets of PC, PA and customers’ requirements and C-shaped matrix has been applied for simultaneous comparison of the dimensions and prioritization of the subsets of PC and PA. The proposed approach has been examined in a post bank. Findings Findings confirm the possibility of simultaneous comparison and prioritization of the three sets of dimensions of this study in post bank services. In addition, “growth and learning” and “bilateral relationship with suppliers” had the first priorities among PA and PC, respectively. Research limitations/implications While the proposed approach has many advantages, filling the matrixes is time-consuming. Since illustrating the 3D matrix was not possible, the matrix was separated into five two-dimensional matrixes. Originality/value Compared to the studied literature, the proposed approach is practically new in the post bank services.

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