scholarly journals PERANCANGAN DIGITAL DASHBOARD SYSTEM UNTUK MENYAJIKAN SENSITIVITY ANALYSIS KINERJA KEUANGAN PERUSAHAAN STUDI KASUS: PT XYZ

2012 ◽  
Vol 6 (2) ◽  
pp. 94
Author(s):  
Dana Indra Sensuse ◽  
Wiliam Suhaidir
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
User Interface ◽  
Financial Performance ◽  
Design Process ◽  
Decision Making Process ◽  
User Requirements ◽  
User Requirement ◽  
Corporate Executives ◽  
Income Statement

Penelitian ini membahas tentang perancangan Digital Dashboard System pada PT XYZ dan dampaknya pada perusahaan tersebut dalam hal pengambilan keputusan. Digital Dashboard dirancang untuk dapat menyajikan sensitivity analysis kinerja keuangan rugi-labarugi-laba PT XYZ. Pada penelitian ini, proses perancangan Digital Dashboard dimulai dari identifikasi variabel, identifikasi user requirement, perancangan user interface hingga proses pengujian. Hasil penelitian ini menunjukan bahwa Digital Dashboard yang baik harus dapat merepresentasikan data yang padat dengan tampilan yang efisien, menarik dan mudah untuk dimengerti. Penelitian ini juga menyatakan bahwa Digital Dashboard yang baik dapat meningkatkan efektifitas eksekutif perusahaan dalam proses pengambilan keputusan. This study discusses the design of the Digital Dashboard System on PT XYZ and its impact on the company in terms of decision making. Digital Dashboard is designed to provide sensitivity analysis of financial performance of PT XYZ's income statement. In this study, the Digital Dashboard design process starts from the identification of variables, identification of user requirements, designing the user interface to the testing process. The results of this study indicate that the good Digital Dashboard should be able to represent the solid data with the efficient view, attractive and easy to understand. The study also states that the good Digital Dashboard can improve the effectiveness of corporate executives in decision-making process.

Public Involvement in the Design of Public Projects

2019 ◽  
Vol 44 (4) ◽  
pp. 73-79
Author(s):  
Emad S. Mushtaha ◽  
Omar Hassan Omar ◽  
Dua S. Barakat ◽  
Hessa Al-Jarwan ◽  
Dima Abdulrahman ◽  
...  
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Public Involvement ◽  
Decision Making Process ◽  
Quantitative Methodology ◽  
Public Project ◽  
The Public ◽  
Public Projects ◽  
Novel Approach ◽  
Building Program

The involvement of the public in the decision-making process is essential, especially in the early stages of a design process. This study aims to achieve the development of an architectural program for a memorial public project, using the outcomes of the Analytical Hierarchy Process (AHP) based on public opinion. It employs a novel approach that sharply focuses on public involvement in the design process, using a quantitative methodology for the development of a suitable building program and selecting a memorial form that meets the public's needs in a practical way. The study drew on data from various memorial projects to identify possible spaces and their selection criteria. A written questionnaire was distributed to a sample of 105 members of the public, to narrow down the number of spaces according to public response. Then, a hearing (spoken) questionnaire was conducted on a sample of 20 to produce the program for development by generating the most strongly preferred form of memorial. The results contradicted the existing norm for a memorial as a sculpture; it was revealed that most of the public preferred memorial landscapes to buildings and great structures. The study concluded that AHP could be used to further involve the relevant stakeholders in the decision-making process of the design of a public project.

Fuzzy Design Scheme Selection Method Based on QFD Integrated with TRIZ

2009 ◽  
Vol 419-420 ◽  
pp. 61-64 ◽  
Author(s):  
Chang Hua Qiu ◽  
Shang Liu ◽  
Dong Yan Shi
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Quality Function Deployment ◽  
Adaptive Design ◽  
Fuzzy Numbers ◽  
Decision Making Process ◽  
Triangular Fuzzy Numbers ◽  
Human Thought ◽  
Scheme Selection ◽  
New Framework

A new framework of decision-making is proposed in this paper to accommodate the application of quality function deployment (QFD) integrated with TRIZ. In the proposal framework, Ideal Final Result (IFR) oriented decision-making process is introduced for the innovation design process in order to select the best solution from alternatives which are generated by TRIZ and consistent with the laws of technical system evolution. Overall customer satisfaction oriented decision-making process is applied for the alternatives generated from both innovation design process and adaptive design process. The correlation matrix, which affects the weight of criteria, is modified according to the style of broken contradiction for the application of TRIZ. Meanwhile, triangular fuzzy numbers are utilized to deal with vagueness of human thought. Finally, an example is taken to show application of the framework.

The use of Life Cycle Engineering/ Life Cycle Assessment within the design process of production facilities; A business case: Different options of handling overspray

2005 ◽  
Vol 895 ◽  
Author(s):  
Marc Binder ◽  
Harald Florin ◽  
Johannes Kreissig
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Design Process ◽  
Software Tool ◽  
Business Case ◽  
Ecological Impacts ◽  
Decision Making Process ◽  
Design Phase ◽  
Design Options ◽  
Total Life

AbstractThis presentation will illustrate how to expand the view by considering the total life cycle in an efficient way into the decision making process and why it is important to do so. The business case will show, how the ecological and economic aspects considering the total life cycle of different design options have been considered when determining the preferable design options out of an holistic point of view. Life Cycle Engineering (LCE)/ Life Cycle Assessment (LCA) integrated in the design Process LCE methodology is evaluating ecological, technical and economic aspects considering the total life cycle of processes/products. LCA studies are the basis for the ecological evaluation within LCE. LCE studies are based on material and energy flow information needed while running the facilities or for producing products. LCE is a simulation tool show optimization potentials as well as supporting the decision making process within the design phase. As various databases hold information on ecological impacts of material- and energy production and information on the economic values is available within the involved companies, time consuming research on basic materials and energies is not necessary. Therefore first estimations on scenarios can be made within days to support the decision process not causing any time delay. LCE studies can be conducted within the design process and on existing facilities/products. If LCE is used within the design process optimization potentials can be shown in early stages of the design phase of facilities/products. Integration of LCE within early stages of the design ensures an efficient way of improving the ecological profile of processes and products and reducing the overall costs considering the total life cycle. Realization within a software tool The software tool GaBi4 is developed and designed to support LCE efficiently and in a transparent way. The design of the facilities can be modeled according to the material and energy flow. This enables the user to run scenario analysis for different design options based on the process flow model. Business case The methodology of LCE has been integrated into the design process of the new rear axle paint shop focusing on the handling of the overspray. Different design options have been analyzed and arguments were made explicit to support the decision making process. As LCE was part of the whole design process from the beginning, the effort for all participants could have been minimized. Conclusions The case study has shown that the integration of LCE into the design process provides additional information and is not causing any delay of the decision making process. LCE enables a transparent presentation of the economics and ecological impacts on a process bases. Optimization potentials, ecological and economic, can be shown at all stages of the design phase and result in reducing the overall costs and environmental burdens caused by the paint process.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN POSISI PEMAIN IDEAL DALAM TIM SEPAK BOLA DENGAN METODE ALGORITMA GENETIKA

Compiler ◽  
2012 ◽  
Vol 1 (2) ◽  
Author(s):  
Hizkia Alprianta ◽  
Anton Setiawan Honggowibowo ◽  
Yuliani Indrianingsih
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
User Interface ◽  
Interface Design ◽  
Selection Process ◽  
Decision Making Process ◽  
Media Processing ◽  
Ideal Position ◽  
The Right ◽  
The Ideal

So far, there are coaches who are less precise in determining the ideal position of the player as it only relies on instinct and the ego of the players so that there is still a coach who has not been able to objectively assess the players.By utilizing the method of Genetic Algorithm as Decision Support System (DSS) in the process of determining the ideal position of a player who uses several criteria (multicriteria) to choose a proper player. DSS is helping coach in making the right decisions and Genetic Algorithm is used as a model for multicriteria weighting in the selection process. This application was built with tools Borland Delphi (7.0) as the user interface design and media processing PostgreSQL as its database.            Based on these results we can conclude that this application expected to assist the coaches in the decision making process and can change the appraisal of which are subjective to more objective, to determine the ideal position for a player, can determine the best position of each position of a number of players and the expected results of the Genetic Algorithm on the system constructed in accordance with the results of manual calculations.

scholarly journals Integrating IVHM and Asset Design

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Ian K Jennions ◽  
Octavian Niculita ◽  
Manuel Esperon-Miguez
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
System Design ◽  
Design Process ◽  
Systems Engineering ◽  
Health Management ◽  
Decision Making Process ◽  
Fully Integrated ◽  
Trade Offs ◽  
Causes Of Failure

Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-making process for sustainment and operation. The design of IVHM systems endeavours to account for all causes of failure in a disciplined, systems engineering, manner. With industry striving to reduce through-life cost, IVHM is a powerful tool to give forewarning of impending failure and hence control over the outcome. Benefits have been realised from this approach across a number of different sectors but, hindering our ability to realise further benefit from this maturing technology, is the fact that IVHM is still treated as added on to the design of the asset, rather than being a sub-system in its own right, fully integrated with the asset design. The elevation and integration of IVHM in this way will enable architectures to be chosen that accommodate health ready sub-systems from the supply chain and design trade-offs to be made, to name but two major benefits. Barriers to IVHM being integrated with the asset design are examined in this paper. The paper presents progress in overcoming them, and suggests potential solutions for those that remain. It addresses the IVHM system design from a systems engineering perspective and the integration with the asset design will be described within an industrial design process.

scholarly journals Mass-tailorisation - a digital aid for the decision-making in the designer's design process

2021 ◽  
Author(s):  
Jun Sik Kim
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Design Process ◽  
Architectural Design ◽  
Theoretical Framework ◽  
Decision Making Process ◽  
Modern Times ◽  
The Future ◽  
Future Potential

<p>The advent of digital tools and technologies of modern times has provided architectural designers with the ability to create in complexities and volumes of an unprecedented scale. With the myriad of possibilities, the designer has become prone to the Paradox of Choice - the difficulty of making decisions in a field of mass-options. </p> <p>Mass-tailorisation aims to aid the decision-making process of the designer in a world of unprecedented possibilities, limited only by the practicalities of reality. This research develops a theoretical framework for mass-tailorisation systems that aid the designer in the decision-making process by strategically focusing on four stages of the decision-making process. </p> <p>The thesis investigates the theoretical framework of mass-tailorisation through several phases of case studies that critically assess the viability and the implications of the components that constitute the mass-tailorisation system. The need for mass-tailorisation, as well as the establishment of the system and the future potential of mass-tailorisation are addressed through these case studies. Thus, leading to an integrative theoretical framework on the validity of mass-tailorisation. </p> <p>The research also speculates on the possible role of the future designer as they navigate through the near-limitless possibilities of the architectural design process of modern times. Finally, the thesis concludes by discussing the specific importance of the Design-Fabrication-Assembly Digital Continuum and the pursuit for the Move 37 phenomenon in explaining how mass-tailorisation can improve the decision-making process of the designer during the design process.</p>

scholarly journals Marketing Based Decision Making Process in Engineering Design

2018 ◽  
Vol 7 (4.36) ◽  
pp. 854
Author(s):  
K. Palani Raj ◽  
G. Veeramani
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Design Process ◽  
Consumer Behaviour ◽  
Decision Making Process ◽  
Risk And Uncertainty ◽  
Design Decisions ◽  
Different Types ◽  
Important Study ◽  
Process Manufacturing

Marketing based decision making process in engineering design is an important study required for industries. How to take efficient decision in design that influence marketing? Most of the engineering design decisions are based on consumer behaviour. Decision making in risk and uncertainty in engineering design is an important phenomenon. Cost and time are the two important factors that results loss because of inefficient decision and it affects marketing. Problems involved in marketing based engineering design and decision making process in solving problems is elaborately studied in this journal. How to choose a design in various alternatives, design process, manufacturing feasibility, material and methodology are the important factors that influences decision making in engineering design for marketing. Different types of theories in decision making process that helps in taking proper decision were studied in this journal. This study is based on data taken from various Research & Development centre in Industries. 

Performance Measure Properties and Delegation

2006 ◽  
Vol 81 (4) ◽  
pp. 897-924 ◽  
Author(s):  
Frank Moers
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Performance Measures ◽  
Organizational Design ◽  
Performance Measure ◽  
Decision Making Process ◽  
Nonfinancial Performance ◽  
Incentive Problem ◽  
Financial Performance Measures

In this paper, I extend the organizational design literature by examining how the delegation choice is affected by the ability to resolve the incentive problem caused by this delegation. Based on the seminal papers by Grossman and Hart (1986) and Holmstrom and Milgrom (1994), I argue that the ability to resolve the incentive problem depends on the contractibility of financial performance measures versus nonfinancial performance measures, where the contractibility depends on the performance measure properties sensitivity, precision, and verifiability. The empirical results show that, if financial performance measures are “good” (“poor”) incentive measures, i.e., high (low) on sensitivity, precision, and verifiability, then using these measures for incentive purposes increases (decreases) delegation. Overall, the results are consistent with the argument that firms design their decision-making process around the quality of contractible performance measures.

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