Supporting Quotation Preparation by Process and Knowledge Modeling – Principles and Concepts for Automation

2011 ◽  
Author(s):  
Fredrik Elgh
Keyword(s):  
System Development ◽  
Individual Case ◽  
Design Solution ◽  
Automation System ◽  
Knowledge Modeling ◽  
Car Industry ◽  
New Ways Of Working ◽  
Competitive Price ◽  
Design Solutions

Subcontractors are commonly involved in several quotation processes and new requests for quotation are continuously received from clients. To be able to respond with feasible design solutions at competitive price, new ways of working has to be adopted, especially when it comes to quotation preparation. High levels of accuracy of the preliminary design solutions and the cost estimations generated in the quotation process are a necessity. The purpose of this work is to investigate, explore, and develop a computerized method to support quotation preparation. The main objectives are to reveal concepts and principles to support application system development and evaluate the applicability of automated quotation preparation. The results are based on experiences from a case study at a sub-supplier to the car industry. In the case study, a design automation system for quotation preparation of seat heaters was developed. The system supports the pursuit of a valid design solution and the best solution in the individual case enabling the company to respond quickly with a competitive price when receiving a new request. In this paper, principles and concepts supporting system development are introduced and the system’s applicability as a means in quotation preparation explored.

Anchoring and Adjustment Design: A User-Centered Design Strategy

1996 ◽  
Author(s):  
Lisa A. Dixon ◽  
Jonathan S. Colton
Keyword(s):  
Design Solution ◽  
Scanning Tunneling ◽  
User Centered Design ◽  
Design Development ◽  
Anchoring And Adjustment ◽  
Previous Design ◽  
Design Solutions ◽  
The Difference ◽  
Process Strategy

Abstract “Anchoring and adjustment” and “deltaSpecs” are presented as concepts for modeling design scenarios in which “previous” re-design solutions form the basis for a new design. The “anchor” provides the basis for the redesign and may consist of a collection of previous design solutions (ideas, components, devices and solution principles). It represents the initial solution. The “deltaSpecs” represent the difference between the specifications for the “new” design and the current version of the design solution and guide the adjustment of the anchor toward the final solution. A case study on the design of the Scanning Tunneling Microscope (STM) illustrates the use of these concepts to describe a design development process strategy.

scholarly journals Design Developer Competition in Stockholm

2019 ◽  
Vol 16 (1) ◽  
pp. 15-28
Author(s):  
Magnus Rönn
Keyword(s):  
Affordable Housing ◽  
Architectural Design ◽  
Municipal Government ◽  
Case Study Research ◽  
Evaluation Process ◽  
Design Solution ◽  
Design Teams ◽  
Design Solutions ◽  
Housing Units

This case study examines a developer competition held in Stockholm in 2013-2014 organized by the municipal government. The objective was to develop good and affordable housing for young citizens. Fifteen design teams took part in the competition. The jury compared two different proposals in the final evaluation: one with separate rooms linked to a collective space and one that consisted of small housing units. This sorting of design proposals in two main categories had a major impact on the judging in the competition. The jury declared the solution with small housing units as the winner, which reinforced the overall category as the appropriate direction for the design solution. There are three typical key players in the competition: the organizer, the jury, and the design teams. The organizer was responsible for the objective and terms presented in the brief. The jury was responsible to assign a winner. Architects, builders, and developers responded to the task by organizing design-teams and producing architectural design solutions. They had to understand affordability as both cost (rent level) and architectural design (area-effective apartments). The competition in Stockholm was investigated in a case study. Research data was collected from archives and through questionnaires answered by jury members and design teams. Methods used for analyzing documents and design solutions were close reading and architectural criticism. Twenty-two architectural students studied the competition in a course. In this case study, I compare how the professional jury evaluated the proposals to jury reports from the students focusing on innovative solutions. The professional jury and the student juries used the same criteria for judging but appointed different winners. The students preferred the solution with collective living. One explanation for this difference can be found in the structure of the evaluation process. The results of the study can be summarized in ten conclusions that deal with sorting and ranking of design proposals, criteria for judging, marketing of the competition, uncertainty and knowledge, motives for competing, innovation, and the competition as a tool for the political ambition of the public organizers. The result produced new knowledge. There are few studies focusing on developer competition as the production of design proposals and architectural quality.

Implementation of Booking Performance Application Using Bootstrap Case Study in PT XYZ

2019 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Arfan Sansprayada ◽  
Kartika Mariskhana
Keyword(s):  
Information System ◽  
Business Processes ◽  
System Development ◽  
Basic Requirement ◽  
Application Development ◽  
Information System Development ◽  
Special Expertise ◽  
A Company ◽  
Need For Information

Abstract—The need for information system development in a company is a basic requirement that must be met by each company in order to run its business processes properly. This is the basic key in a company in order to provide maximum results to find as many profits or profits. Application development or requirements in the application also provide speed for employees to carry out their activities to work properly and optimally. The development of the era requires that companies must be productive and have innovations so that the business wheel of the company can run well. This is based on the development of technology that is so fast that it requires special expertise in its application. This research is expected to be able to help some problems that exist in a company. Where its application can make it easier for employees to carry out their respective duties and roles in order to maximize their potential. For companies, the application of this application can accommodate the company's business wheels so that they can be properly and correctly documented .   Keywords : Systems, Information, Applications

Self-reference in early speech of children speaking Slovak

2018 ◽  
Vol 6 (2) ◽  
pp. 14-35
Author(s):  
Jana Kesselová
Keyword(s):  
Individual Case ◽  
Early Age ◽  
Self Awareness ◽  
Upper Limit ◽  
First Occurrence ◽  
Social Deixis ◽  
Self Reference ◽  
Vega 1 ◽  
Slovak Language

Abstract The study focuses on the process of being aware of own I in children acquiring Slovak language at an early age and living in a Slovak family. The aim of the research is to understand the process of acquiring the means by which children refer to themselves in the interaction with an adult person. The research uses the qualitative longitudinal method of individual case study. A child’s speech is researched from the very first occurrence of a self-reference mean in 16th month up to the upper limit of early age (36th month) and all that is based on audio-visual records transcripts. The following are researched: (a) succession of self-reference means acquisition in early childhood, (b) function of self-reference linguistic means, (c) process of child’s self-awareness. The results obtained based on the linguistic data in Slovak language are compared with the results of similarly focused researches in English, French, Polish, Russian and Bulgarian language. The research reveals some constants in the development of self-reference instruments that can be observed throughout various language-cultural environments. The research is a part of solutions within the grant project VEGA 1/0099/16 Personal and Social Deixis in Slovak Language.

AUTOMATION SYSTEM DEVELOPMENT FOR MULTIPROCESS WELDING MECHANISM

2017 ◽  
Author(s):  
Judson Barcelos Gonçalves ◽  
Iago Marques Nunes ◽  
Luiz Rafael Resende da Silva ◽  
Douglas Ruy S S Araujo ◽  
Giuliano Souza ◽  
...  
Keyword(s):  
System Development ◽  
Automation System

scholarly journals Multi-Criteria Analysis for the Selection of the Optimal Mining Design Solution—A Case Study on Quarry “Tambura”

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3200
Author(s):  
Branimir Farkaš ◽  
Ana Hrastov
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Open Pit ◽  
Design Solution ◽  
Mine Design ◽  
Promethee Ii ◽  
Mining Design ◽  
Quarry Mine ◽  
Selection Of

Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision making of the quarry mine design is imperative but left out. In this paper, the PROMETHEE II and AHP decision-making methods are implemented on the quarry site to find out the best final quarry design contour. By implementing the MCDM methods, the best quarry model was chosen based on 22 different criteria parameters out of three final quarry designs. The chosen model is not only financially sound but also has the least environmental impact.

scholarly journals Architecture For Automation System Metrics Collection, Visualization and Data Engineering – HAMK Sheet Metal Center Building Automation Case Study

2019 ◽  
Vol 9 (1) ◽  
pp. 561-570
Author(s):  
Khoa Dang ◽  
Igor Trotskii
Keyword(s):  
System Integration ◽  
Data Analytics ◽  
Building Energy ◽  
Facility Management ◽  
Automation System ◽  
Building Energy Efficiency ◽  
Building Automation ◽  
Automation Systems ◽  
Integration Data

AbstractEver growing building energy consumption requires advanced automation and monitoring solutions in order to improve building energy efficiency. Furthermore, aggregation of building automation data, similarly to industrial scenarios allows for condition monitoring and fault diagnostics of the Heating, Ventilations and Air Conditioning (HVAC) system. For existing buildings, the commissioned SCADA solutions provide historical trends, alarms management and setpoint curve adjustments, which are essential features for facility management personnel. The development in Internet of Things (IoT) and Industry 4.0, as well as software microservices enables higher system integration, data analytics and rich visualization to be integrated into the existing infrastructure. This paper presents the implementation of a technology stack, which can be used as a framework for improving existing and new building automation systems by increasing interconnection and integrating data analytics solutions. The implementation solution is realized and evaluated for a nearly zero energy building, as a case study.

scholarly journals Predictive Maintenance in Building Facilities: A Machine Learning-Based Approach

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1044
Author(s):  
Yassine Bouabdallaoui ◽  
Zoubeir Lafhaj ◽  
Pascal Yim ◽  
Laure Ducoulombier ◽  
Belkacem Bennadji
Keyword(s):  
Machine Learning ◽  
Model Development ◽  
Predictive Maintenance ◽  
Data Availability ◽  
Machine Learning Techniques ◽  
Automation System ◽  
Building Maintenance ◽  
Collection Data ◽  
Iot Devices

The operation and maintenance of buildings has seen several advances in recent years. Multiple information and communication technology (ICT) solutions have been introduced to better manage building maintenance. However, maintenance practices in buildings remain less efficient and lead to significant energy waste. In this paper, a predictive maintenance framework based on machine learning techniques is proposed. This framework aims to provide guidelines to implement predictive maintenance for building installations. The framework is organised into five steps: data collection, data processing, model development, fault notification and model improvement. A sport facility was selected as a case study in this work to demonstrate the framework. Data were collected from different heating ventilation and air conditioning (HVAC) installations using Internet of Things (IoT) devices and a building automation system (BAS). Then, a deep learning model was used to predict failures. The case study showed the potential of this framework to predict failures. However, multiple obstacles and barriers were observed related to data availability and feedback collection. The overall results of this paper can help to provide guidelines for scientists and practitioners to implement predictive maintenance approaches in buildings.

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