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.

Design of Equipment’s Transportation Programs and Transport Activities

2012 ◽  
Vol 569 ◽  
pp. 769-775 ◽  
Author(s):  
Tian Deng ◽  
Nai Chao Wang ◽  
Lin Ma
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Life Cycle ◽  
Design Process ◽  
Systems Engineering ◽  
Transport Activity ◽  
Logistics System ◽  
Logistics Industry ◽  
Entire Life ◽  
Entire Life Cycle

With the developing of global trade, the role assumed by the logistics industry is increasing important. Transportation act as the main pillars of the logistics system, connecting suppliers, manufactures and customers Transportation is a means of connecting scatted factories and warehouses of the entire supply chain. Traditional transportation design emphasis on design and means of transportation decision-making on transport nodes and networks. In this article, transportation is designed based on systems engineering, considering the entire life cycle of the equipment . The factors in transport program is given in detail to be considered in the design of the equipment life cycle transport program, and gives the design process of the transport activity.

scholarly journals Examples of Mental Mistakes Made by Systems Engineers While Creating Tradeoff Studies

2013 ◽  
Vol 1 (1) ◽  
pp. 22 ◽  
Author(s):  
James Bohlman ◽  
A. Terry Bahill
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
System Design ◽  
Systems Engineering ◽  
Decision Making Process ◽  
Problem Statement ◽  
The Past ◽  
The Future ◽  
Design Documents

Problem statement: Humans often make poor decisions. To help them make better decisions, engineers are taught to create tradeoff studies. However, these engineers are usually unaware of mental mistakes that they make while creating their tradeoff studies. We need to increase awareness of a dozen specific mental mistakes that engineers commonly make while creating tradeoff studies. Aims of the research: To prove that engineers actually do make mental mistakes while creating tradeoff studies. To identify which mental mistakes can be detected in tradeoff study documentation. Methodology: Over the past two decades, teams of students and practicing engineers in Bahill’s Systems Engineering courses wrote the system design documents for an assigned system. On average, each of these document sets took 100 man-hours to create and comprised 75 pages. We used 110 of these projects, two dozen government contractor tradeoff studies and three publicly accessible tradeoff studies. We scoured these document sets looking for examples of 28 specific mental mistakes that might affect a tradeoff study. We found instances of a dozen of these mental mistakes. Results: Often evidence of some of these mistakes cannot be found in the final documentation. To find evidence for such mistakes, the experimenters would have had to be a part of the data collection and decision making process. That is why, in this paper, we present only 12 of the original 28 mental mistakes. We found hundreds of examples of such mistakes. We provide suggestions to help people avoid making these mental mistakes while doing tradeoff studies. Conclusions: This paper shows evidence of a dozen common mental mistakes that are continually being repeated by engineers while creating tradeoff studies. When engineers are taught about these mistakes, they can minimize their occurrence in the future.

Systems-based risk analysis

2008 ◽  
Author(s):  
Yacov Y. Haimes
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Management ◽  
Systems Engineering ◽  
Decision Making Process ◽  
Design Development ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Trade Offs ◽  
Catastrophic Risks

Risk models provide the roadmaps that guide the analyst throughout the journey of risk assessment, if the adage ‘To manage risk, one must measure it’ constitutes the compass for risk management. The process of risk assessment and management may be viewed through many lenses, depending on the perspective, vision, values, and circumstances. This chapter addresses the complex problem of coping with catastrophic risks by taking a systems engineering perspective. Systems engineering is a multidisciplinary approach distinguished by a practical philosophy that advocates holism in cognition and decision making. The ultimate purposes of systems engineering are to (1) build an understanding of the system’s nature, functional behaviour, and interaction with its environment, (2) improve the decision-making process (e.g., in planning, design, development, operation, and management), and (3) identify, quantify, and evaluate risks, uncertainties, and variability within the decision-making process. Engineering systems are almost always designed, constructed, and operated under unavoidable conditions of risk and uncertainty and are often expected to achieve multiple and conflicting objectives. The overall process of identifying, quantifying, evaluating, and trading-off risks, benefits, and costs should be neither a separate, cosmetic afterthought nor a gratuitous add-on technical analysis. Rather, it should constitute an integral and explicit component of the overall managerial decision-making process. In risk assessment, the analyst often attempts to answer the following set of three questions (Kaplan and Garrick, 1981): ‘What can go wrong?’, ‘What is the likelihood that it would go wrong?’, and ‘What are the consequences?’ Answers to these questions help risk analysts identify, measure, quantify, and evaluate risks and their consequences and impacts. Risk management builds on the risk assessment process by seeking answers to a second set of three questions (Haimes, 1991): ‘What can be done and what options are available?’, ‘What are their associated trade-offs in terms of all costs, benefits, and risks?’, and ‘What are the impacts of current management decisions on future options?’ Note that the last question is the most critical one for any managerial decision-making.

Case study of integrated decision-making for deep energy-efficient retrofits

2014 ◽  
Vol 8 (4) ◽  
pp. 434-455 ◽  
Author(s):  
Pelin Gultekin ◽  
Chimay J. Anumba ◽  
Robert M. Leicht
Keyword(s):  
Decision Making ◽  
System Design ◽  
Design Process ◽  
Integrated System ◽  
Comfort Level ◽  
System Level ◽  
Decision Making Process ◽  
Design Decisions ◽  
Content Type

Purpose – This paper aims to focus on the decision-making process of integrated system design. Buildings can benefit from different system integration working toward the unified goal of providing the needed conditions and improving the comfort level of occupants. It is important to engage all system needs and priorities in the design by keeping goal into consideration. Even though there is vast potential in the coordination of system design decisions, there is a need to increase the transparency of the decision-making process by developing methods to incorporate multi-dimensional design attributes. Design/methodology/approach – This is achieved by considering all system design priorities with respect to decision attributes, as well as the inter-system inputs based on information and knowledge. Data were collected through interviews, collaboration meetings and design document reviews, which helped to facilitate triangulation. Findings – This paper presents the findings of a case study of deep retrofit design process that seeks to reduce energy consumption through integrated system decisions with several system combinations. In addition, such design decisions highlighted the fact that the values need to be flexible at the system level. Research limitations/implications – This paper presents an in-depth analysis of a single case study. Multiple case studies are being investigated for the future of this research. Practical implications – This paper presents the methods used for integrated design process priorities that will enable design teams to make decisions that lead to improved energy performance in retrofit projects. Originality/value – The case study building in this paper is a showcase building with cutting edge technologies and techniques, as well as a scalable and collaborative design process. It is an example of a best-in-class retrofit process designed through whole building design principles within the target budget. The paper demonstrates system design selection criteria that are embraced by value prioritization.

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.

IT in Manufacturing and Logistics for SCM and OP in SMEs

2020 ◽  
pp. 109-117 ◽  
Author(s):  
Wei Hung ◽  
Yao-Wen Hsu
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Statistical Analysis ◽  
Organizational Performance ◽  
Manufacturing Sector ◽  
Decision Making Process ◽  
Chain Management ◽  
Modern Age ◽  
Wide Range

This analysis focusses on the effects of Information Technology (IT) and how it significantly affects the Supply Chain Management (SCM) in logistics and manufacturing-Small and Medium-Sized Enterprises (SMEs). Apart from that, our purpose is to evaluate how IT affects the Organizational Performance (OP) in the enterprises. Irrespective of the fact that IT cannot be applied in every enterprise, the findings in this research are based on the statistical analysis which shows that a wide-range of workforce in the modern age has adopted the initiative considering the complexities of SCM and mostly to maximize OP in the enterprises. This research was done based on the analysis of SMEs in logistics and manufacturing sector in India. The sample used to conduct this research makes it valid to draw assumptions that managers and CEOs are responsible for coordinating enterprise operations in SMEs. The evaluation in this research shows that the workforce is obliged to formulate strategies to allow employees to enhance their competency of IT. In that regard, the findings are essential for the enhancement of the decision-making process, SCM and OP.

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.

scholarly journals Capacity Allocation and Compensation in a Dual-Channel Supply Chain under Uncertain Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Jiaquan Yang ◽  
Xumei Zhang ◽  
Yating Huang ◽  
Jiafu Su ◽  
Sang-Bing Tsai ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Expected Profit ◽  
Decision Making Process ◽  
Direct Selling ◽  
Channel Conflict ◽  
Dual Channel ◽  
Decentralized Decision Making ◽  
Capacity Uncertainty ◽  
Dual Channel Supply Chain

The dual-channel supply chain is widely adopted by main manufacturers, potentially incurring channel conflicts between the traditional retail channel which is owned by the independent retailer and the online channel which is directly managed by the manufacturer. The purpose of this paper is to deal with the scenario where channel conflicts may arise under production capacity uncertainty, when the manufacturer tends to privilege the direct selling channel over the retail selling channel. To achieve the goal, this paper establishes a Stackelberg game model consisting of a manufacturer and a retailer, studies the scenario where the manufacturer satisfies the direct selling channel first in the presence of capacity uncertainty, employs the decision optimization and the backward induction method to find the optimal inventory decision in the direct selling channel and the optimal order quantity decision making in the retail selling channel, and designs a compensation mechanism aiming to coordinate the channel conflict in the decentralized decision-making process. Results show that the optimal decisions aiming to maximize the expected profit of each supply chain member are not able to maximize the expected profit of entire dual-channel supply chain. However, when the manufacturer compensates the retailer’s profit loss based on the unsatisfied order and, in the meantime, adjusts the wholesale price to prevent the retailer which obtains the compensation from increasing order significantly, the compensation mechanism can coordinate the decision of each supply chain member, mitigate the channel conflict, maximize the expected profit of entire dual-channel supply chain, and achieve the Pareto improvement of supply chain members’ expected profit in the decentralized decision-making process.

scholarly journals Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 579 ◽  
Author(s):  
Ilyas Mzougui ◽  
Silvia Carpitella ◽  
Antonella Certa ◽  
Zoubir El Felsoufi ◽  
Joaquín Izquierdo
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Systems Engineering ◽  
Automotive Industry ◽  
Economic Losses ◽  
Joint Analysis ◽  
Fuzzy Decision Making ◽  
Support Tool ◽  
Supply Chain Risks ◽  
Criticality Analysis

Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assessment is investigated, and a comprehensive list of specific risks related to the automotive industry is compiled to extend the set of most commonly considered risks. Second, an alternative way of calculating the Risk Priority Number (RPN) is proposed within the FMECA framework by means of an integrated Multi-Criteria Decision-Making (MCDM) approach. We give a new calculation procedure by making use of the Analytic Hierarchy Process (AHP) to derive factors weights, and then the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) to evaluate the new factor of “dependence” among the risks. The developed joint analysis constitutes a risk analysis support tool for criticality in systems engineering. The approach also deals with uncertainty and vagueness associated with input data through the use of fuzzy numbers. The results obtained from a relevant case study in the automotive industry showcase the effectiveness of this approach, which brings important value to those companies: When planning interventions of prevention/mitigation, primary importance should be given to (1) supply chain disruptions due to natural disasters; (2) manufacturing facilities, human resources, policies and breakdown processes; and (3) inefficient transport.

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