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 Using BIM to calculate accurate building material quantities for early design phase Life Cycle Assessment

2021 ◽  
Author(s):  
◽  
Brian Berg
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Design Process ◽  
Building Material ◽  
Building Materials ◽  
Building Design ◽  
Embodied Energy ◽  
Design Phase ◽  
Building Information

<p>This research simplifies the calculation of the Initial Embodied Energy (iEE) for commercial office buildings. The result is the improved integration of Life Cycle Assessment (LCA) assessments of building materials into the early stages of the building design process (sketch design). This maximises the effectiveness of implementing design solutions to lower a building’s environmental impact.  This thesis research proposes that building Information Models (BIM) will make calculating building material quantities easier, to simplify LCA calculations, all to improve their integration into existing sketch design phase practices, and building design decisions. This is achieved by developing a methodology for using BIM LCA tools to calculate highly detailed material quantities from a simple BIM model of sketch design phase building information. This is methodology is called an Initial Embodied Energy Building Information Model Life Cycle Assessment Building Performance Sketch (iEE BIM LCA BPS). Using this methodology calculates iEE results that are accurate, and represent a sufficient proportion (complete) of a building’s total iEE consumption, making them useful for iEE decision-making.  iEE is one example of a LCA-based indicator that was used to test, and prove the feasibility of the iEE BIM LCA BPS methodology. Proving this, the research method tests the accuracy that a BIM model can calculate case study building’s building material quantities. This included developing; a methodology for how to use the BIM tool Revit to calculate iEE; a functional definition of an iEE BIM LCA BPS based on the environmental impact, and sketch design decisions effecting building materials, and elements; and an EE simulation calibration accuracy assessment methodology, complete with a function definition of the accuracy required of an iEE simulation to ensure it’s useful for sketch design decision-making.  Two main tests were conducted as part of proving the iEE BIM LCA BPS’ feasibility. Test one assessed and proved that the iEE BIM LCA BPS model based on sketch design information does represent a sufficient proportion (complete) of a building’s total iEE consumption, so that are useful for iEE decision-making. This was tested by comparing the building material quantities from a SOQ (SOQ) produced to a sketch design level of detail (truth model 3), to an as-built level of detail, defined as current iEE best practices (truth model 1). Subsequent to proving that the iEE BIM LCA BPS is sufficiently complete, test two assessed if a BIM model and tool could calculate building material quantities accurately compared to truth model 3. The outcome was answering the research question of, how detailed does a BIM model need to be to calculate accurate building material quantities for a building material LCA (LCA) assessment?  The inference of this thesis research is a methodology for using BIM models to calculate the iEE of New Zealand commercial office buildings in the early phases of the design process. The outcome was that a building design team’s current level of sketch design phase information is sufficiently detailed for sketch design phase iEE assessment. This means, that iEE and other LCA-based assessment indicators can be integrated into a design team’s existing design process, practices, and decisions, with no restructuring required.</p>

scholarly journals Using BIM to calculate accurate building material quantities for early design phase Life Cycle Assessment

2021 ◽  
Author(s):  
◽  
Brian Berg
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Design Process ◽  
Building Material ◽  
Building Materials ◽  
Building Design ◽  
Embodied Energy ◽  
Design Phase ◽  
Building Information

<p>This research simplifies the calculation of the Initial Embodied Energy (iEE) for commercial office buildings. The result is the improved integration of Life Cycle Assessment (LCA) assessments of building materials into the early stages of the building design process (sketch design). This maximises the effectiveness of implementing design solutions to lower a building’s environmental impact.  This thesis research proposes that building Information Models (BIM) will make calculating building material quantities easier, to simplify LCA calculations, all to improve their integration into existing sketch design phase practices, and building design decisions. This is achieved by developing a methodology for using BIM LCA tools to calculate highly detailed material quantities from a simple BIM model of sketch design phase building information. This is methodology is called an Initial Embodied Energy Building Information Model Life Cycle Assessment Building Performance Sketch (iEE BIM LCA BPS). Using this methodology calculates iEE results that are accurate, and represent a sufficient proportion (complete) of a building’s total iEE consumption, making them useful for iEE decision-making.  iEE is one example of a LCA-based indicator that was used to test, and prove the feasibility of the iEE BIM LCA BPS methodology. Proving this, the research method tests the accuracy that a BIM model can calculate case study building’s building material quantities. This included developing; a methodology for how to use the BIM tool Revit to calculate iEE; a functional definition of an iEE BIM LCA BPS based on the environmental impact, and sketch design decisions effecting building materials, and elements; and an EE simulation calibration accuracy assessment methodology, complete with a function definition of the accuracy required of an iEE simulation to ensure it’s useful for sketch design decision-making.  Two main tests were conducted as part of proving the iEE BIM LCA BPS’ feasibility. Test one assessed and proved that the iEE BIM LCA BPS model based on sketch design information does represent a sufficient proportion (complete) of a building’s total iEE consumption, so that are useful for iEE decision-making. This was tested by comparing the building material quantities from a SOQ (SOQ) produced to a sketch design level of detail (truth model 3), to an as-built level of detail, defined as current iEE best practices (truth model 1). Subsequent to proving that the iEE BIM LCA BPS is sufficiently complete, test two assessed if a BIM model and tool could calculate building material quantities accurately compared to truth model 3. The outcome was answering the research question of, how detailed does a BIM model need to be to calculate accurate building material quantities for a building material LCA (LCA) assessment?  The inference of this thesis research is a methodology for using BIM models to calculate the iEE of New Zealand commercial office buildings in the early phases of the design process. The outcome was that a building design team’s current level of sketch design phase information is sufficiently detailed for sketch design phase iEE assessment. This means, that iEE and other LCA-based assessment indicators can be integrated into a design team’s existing design process, practices, and decisions, with no restructuring required.</p>

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.

Identifying E-Business Options

2009 ◽  
pp. 1-10
Author(s):  
Albert Boonstra ◽  
Bert de Brock
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Dynamic Environments ◽  
The Internet ◽  
Decision Making Process ◽  
Business Opportunity ◽  
Business Applications ◽  
Decision Making Processes ◽  
Business Purpose ◽  
Made In

The past few years, many organizations have been using the Internet in quite arbitrary and experimental ways. This phase, which can be considered as a period of learning and experimentation, has created a need for a more systematic approach to the identification, the ordering and the assessment of e-business options. It is the objective of this paper to address this need by presenting a methodology that aims at supporting management in using alternative e-business applications in the first stage of the decision-making process. Figure 1 shows how a systematic decision-making process can be organized by using e-business options. The steps are based on Simon’s intelligence, design, and choice trichotomy (Simon, 1960). First, alternative e-business options have to be identified and ordered. Then the possible options have to be assessed and selected. After this stage the selected opportunities have to be specified and designed. Next, implementation, operation, maintenance, and evaluation may follow. In Figure 1 this is called the “formal life cycle”. We will apply the word “e-business option” referring to the possibility to use an electronic network for a business purpose. An e-business opportunity is defined here as an assessed and selected e-business option. In practice, different intermediate feedback activities, interrupts, delays and adjustments are often necessary to reconsider earlier steps (Mintzberg, Raisinghani, & Théorêt, 1976). This is—among other reasons—because decision-making processes of this kind take place in dynamic environments and decisions are made in political contexts (Pettigrew, 2002). Moreover, participants in decision-making processes are often lacking the necessary information to make well-considered decisions right from the start (Miller, Hickson, & Wilson, 1996). In Figure 1 these activities are called “intermediate feedback”.

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.

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