Academic literature on the topic 'Generic decision making matrix'

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Journal articles on the topic "Generic decision making matrix"

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Hassard, John. "A Matrix Model of Corporate Decision Making." Management Decision 26, no. 6 (1988): 47–55. http://dx.doi.org/10.1108/eb001529.

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Li, Lue, Zhi Xiao, Xiao-Dong Feng, and Bo Zhong. "Soft Incomplete Discernibility Matrix for Decision-Making Problems." IEEE Access 6 (2018): 32450–59. http://dx.doi.org/10.1109/access.2018.2838318.

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Dihovicni, Djordje N. "Decision Making and Fundamental Matrix approach in Process Safety." International Journal of Computational Intelligence Systems 6, no. 4 (2013): 658–68. http://dx.doi.org/10.1080/18756891.2013.802871.

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Malloch, Kathy. "The Performance Measurement Matrix: A Framework to Optimize Decision Making." Journal of Nursing Care Quality 13, no. 3 (1999): 1–12. http://dx.doi.org/10.1097/00001786-199902000-00002.

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Jussani, Ailton Conde, Patricia Viveiros de Castro Krakauer, and Edison Fernandes Polo. "REFLEXÕES SOBRE A ESTRATÉGIA DO OCEANO AZUL: UMA COMPARAÇÃO COM AS ESTRATÉGIAS DE ANSOFF, PORTER E HAX & WILDE DOI:10.7444/fsrj.v2i2.51." Future Studies Research Journal: Trends and Strategies 2, no. 2 (2010): 17–37. http://dx.doi.org/10.24023/futurejournal/2175-5825/2010.v2i2.51.

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Within the context of the globalized environment, competitiveness has become a critical issue for business. The use of research to inform strategic decisions is thus important for firms on the path to competitiveness, regardless of their market of operation. This paper provides an overview of four strategies—Kim and Mauborgne’s Blue Ocean Strategy, Ansoff’s Matrix, Porter’s Generic Strategies, and Hax and Wilde’s Delta model—in order to find the similarities and approximations among them. Applying the scientific reading method, we conducted a comprehensive review of the literature on strategy to draw up a comparative matrix among the four strategies analyzed so as to discuss the typologies for strategy formation modes. This matrix is intended to be used in future field studies. The comparison led to the observation that several possible approaches exist, each suited for distinctive businesses and business environments. This article aims to contribute to a better knowledge of administrative techniques that can help firms - and their executives - improve strategic decision making by choosing the strategy that best fits the competitive environment in which their business operates. Key-words: Strategic decisions. Strategic approaches. Comparative matrix.
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Das, Sujit, Saurabh Kumar, Samarjit Kar, and Tandra Pal. "Group decision making using neutrosophic soft matrix: An algorithmic approach." Journal of King Saud University - Computer and Information Sciences 31, no. 4 (2019): 459–68. http://dx.doi.org/10.1016/j.jksuci.2017.05.001.

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Ren, Jian, Yang Gao, and Can Bian. "Multiple Criteria Decision Making Based on Discrete Linguistic Stochastic Variables." Mathematical Problems in Engineering 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/546508.

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For solving the discrete linguistic stochastic multiple criteria decision making problems with incomplete information, a new decision making method based on the differences between the superiorities and the inferiorities is proposed. According to the two basic parameters which are the possible outcome and the state probability, the superior decision matrix and the inferior decision matrix of the alternative set under each criterion are first worked out. Then, by the differences between the elements on the appropriate locations of these matrices, the corresponding dominant decision matrices are formed. Subsequently, with the help of the weight vector of the criterion set, the weighted integrated dominant decision matrix of the alternative set is built. Consequently, the weighted integrated dominant indices' sum of each alternative is calculated. Thus, the rank of the alternatives comes out. Finally, a numerical example is given. The result shows the superiority of the method.
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Sun, Peng, Jiawei Yang, and Yongfeng Zhi. "Multi-attribute decision-making method based on Taylor expansion." International Journal of Distributed Sensor Networks 15, no. 3 (2019): 155014771983607. http://dx.doi.org/10.1177/1550147719836078.

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Determining attribute weights is an indispensable step in multi-attribute decision-making problems, and it is also a top priority in the study of multi-attribute decision-making problems. Existing methods for determining attribute weights do not completely and effectively reflect the decision-maker’s dependency preferences, which will result in unreasonable ranking results for decision-makers. To solve this problem, this article proposes a feature-weighted multi-attribute decision-making method based on Taylor expansion. The method uses the natural base and the eigenvalues of the matrix to construct the feature-weighted coefficients and weights; normalizes all the feature vectors of the matrix; and constructs a new weight vector. Combined with the example to analyze and verify, the method makes reasonable use of all decision information, which saves the decision time of decision-makers.
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Lisowski, Józef. "Optimization-Supported Decision-Making in the Marine Game Environment." Solid State Phenomena 210 (October 2013): 215–22. http://dx.doi.org/10.4028/www.scientific.net/ssp.210.215.

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This paper analyses optimization methods and game theory to support decision making by a navigator when controlling a vessel in various real navigational situations at sea. We have demonstrated the structure of a computer system for supporting manoeuvring decisions by a navigator. Navigational situations of an optimal and game ship control have been classified. We have also described game algorithms for supporting decision-making in a form of non-cooperative and cooperative positional and matrix games, respectively. The considerations have been illustrated with a computer simulation, using the Matlab/Simulink software, of algorithms for determining safe trajectories of a vessel in a real navigational situation at sea.
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Crosby, Paul B., and James P. Barrett. "A Decision-Making Case Study for Community Forest Management." Northern Journal of Applied Forestry 5, no. 4 (1988): 254–58. http://dx.doi.org/10.1093/njaf/5.4.254.

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Abstract Community forest managers would benefit from a decision-making procedure that would help them weigh management alternatives and select one that best contributes to their goals. A matrix technique that uses a system of rating and weighing alternative impacts was applied to the decision-making process on the Rye Town Forest in Rye, NH. Using the results of a comprehensive multiple-use inventory of the forest and a survey of residents' preferences for uses of the forest, the matrix procedure aided in selecting a preferred management strategy. It encourages a systematic and objective comparison of preselected management alternatives and allows decision-makers to efficiently analyze and compare new alternatives. North. J. Appl. For. 5:254-258, December 1988.
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Dissertations / Theses on the topic "Generic decision making matrix"

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Bowles, David. "The development of a generic outsourcing decision model with validation through automotive industry case studies." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4283.

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Aims and Objectives of Research. 1. To develop a 'one stop' generic decision making matrix (Outsourcing Decision Model) that provides the necessary clarity into defining whether an organisation should proceed with an outsourcing initiative or not. This would be based upon a distillation of existing models and reviewed literature. With the recognition that there may be subsequent advantages following the process, the model will include not only these but a means of evaluation in order to ascertain whether or not an outsourcing initiative may be or was successful or not. This latter aspect must logically be viewed as very important as an outsourcer must be aware of the benefits and also whether or not they were achieved. In addition, the model would include sufficient guidance with potential supporting metrics and their application. 2. To validate the Outsourcing Model through specific case studies using a triangulated approach in comparing the selected automotive OEM with some of its major competitors. Within the context of the case study, the research would also attempt to understand how the subject outsourcing organisation compares to its major competitors in equivalent comparable products and whether or not this reflects in the success of these companies. This case study not only provides a means of reinforcing the remaining case studies by using a triangulated method of application to the research developed outsourcing decision model but also provides a deeper understanding of the context of the supplier and competitors within the industry. 3. To test, via case studies the effect of specificity relating to the outsourced end product rather than the outsourced entity. This aspect provides the deepest application to the researched outsourcing decision model and therefore the most comprehensive validation. In addition, because the case studies are retrospective, they have the benefit of providing data to establish the level of success. This would be very important, particularly as it would enable a focus on particular criteria that failed to highlight a particular outcome and therefore provide a chance to make amendments. Low specificity is a well established criterion in defining an outsourced entity which is reflected within the body of the research. The further extension of this theory towards the outsourcing of and outsourced entity related to an established previously outsourced commodity is a new concept with no identifiable literature or evidence relating to its importance. The fact that it provides an element within the research that is potentially unique and carries no extra task burden it has been captured as an added element within the two important validation case studies: 4. To evaluate if outsourcing performance can be enhanced through the introduction of a second supplier into a single supplier sourcing situation. Subsequent to outsourcing, this aim and objective focuses upon the possibility of enhancing performance through the introduction of a second supplier. Particularly in cases whereby expertise may have been lost from an outsourcer, ultimate results relating to the outsourced entity may be compromised through either opportunism or diminished supplier performance. Whether these aspects are deliberate or unintended, an outsourcer should have some means of mitigating this risk. This mitigation may potentially be enabled through the use of a second supplier in order to provide a degree of competition. 5. To identify a link between Specificity, Commonality and Platform Sharing. The Author's professional role was very heavily based around the modern practices within the Automotive Industry. Outsourcing, platform sharing and commonality are well publicised strategies that have been adopted by various car manufacturers in order to gain efficiencies. Research was carried out in order to provide a better understanding of these strategies and to establish if there is any link between them. A confirmation of any linkages may then provide potential for establishing greater synergies between them.
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Donelan, Ronan. "Development and validation of a generic instrument for assessing the quality of decision-making." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/59185/.

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Decision-making per se can be regarded as part art and part science in the development of new medicines. In the area of pharmaceutical development, decision-making plays a pivotal role in the continuation or the termination of further development or withdrawal of medicinal products. The decisions made at each stage have a direct impact on all stakeholders namely, pharmaceutical companies, regulators, payers and patients. What is lacking at present is a qualified understanding of the subjective decision-making approach, influences, behaviours and other factors which impact the decision-making of individuals and organisations involved in the delivery of new medicines. The aim of this study was, therefore, to develop and validate a generic instrument for appraising the quality of decision-making. Semi-structured interviews were carried out with 29 key decision-makers from the pharmaceutical industry, regulatory authorities and contract research organisations (CROs). They were invited to discuss all aspects, including their perception of decision-making and its role in drug development and regulatory review; decision making within their organisation; awareness and use of decision-making techniques; and impact and monitoring of decisions. Thematic analysis was carried out using NViVO 8 © software. A preliminary 94-item instrument was developed from the themes and the sub-themes that emerged from the interviews. Content validity was assessed using qualitative and quantitative data from an expert panel involving six key decision makers. A separate international cohort of 120 individuals working in the pharmaceutical industry, regulatory authority or CROs was recruited for factor analysis to reduce items. A further 78 individuals completed the final version of the QoDOS for construct validity and reliability. Most individuals interviewed were male (55% - n=16) and their level of experience ranged from 7 to 35 years. 32 themes and 90 sub-themes of aspects of decision-making were identified from the interviews. The median numbers of themes reported by experts was 6 (range = 1-10). The key themes included: quality and validity of the data; vii political, financial, competitor and reward influences; analytical and logical approach; overconfidence in own judgement; plunging in or procrastinating with decision-making; impact analysis of decisions; education and awareness of evolving decision-making techniques; and SWOT and alternate outcome planning. Relationships between the themes were identified. A 94-item generic instrument for assessing the quality of life decision-making, Quality of Decision-Making Orientation Scheme (QoDOS) ©, with a 5-point Likert response scale was developed. The content validity panel’s rating of each item on a 4-point scale for the 4 attributes showed “strongly agreed” or “agreed” (88%) with an ICC value of .89 (CI = 0.56 – 0.99) suggesting a high agreement between the panel members’ responses. This led to the reduction of 20 items and addition of two items as a result of cross-referencing with the qualitative data. Thus, the 76 items (version 2) emerged from content validation. Factor analysis produced a 47-item measure with four factors. The QoDOS showed high internal consistency (n = 120, Cronbach’s alpha = 0.89), high reproducibility (n = 20, ICC = 0.77) and a mean completion time of 10 minutes. 10 hallmarks of “Good Decision-Making Practice” (GDMP) were identified. The QoDOS is a valuable addition to the decision-making tool box of drug developers and regulators and has the potential to fill the missing gap of the entire process which is building quality into the lifecycle of medicine. The identification of ten hallmarks and generation of a framework for GDMP are also important contributions of this study to the field.
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Ozturk, Ufuk. "Interval Priority Weight Generation From Interval Comparison Matrices In Analytic Hierarchy Process." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611031/index.pdf.

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In this study, for the well-known Analytic Hierarchy Process (AHP) method a new approach to interval priority weight generation from interval comparison matrix is proposed. This method can be used for both inconsistent and consistent matrices. Also for the problems having more than two hierarchical levels a synthesizing heuristic is presented. The performances of the methods, interval generation and synthesizing, are compared with the methods that are already available in the literature on randomly generated matrices.
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Lange, Connor. "A GENERIC DECISION MAKING FRAMEWORK FOR AUTONOMOUS SYSTEMS." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/992.

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With the rising popularity of small satellites, such as CubeSats, many smaller institutions previously incapable of developing and deploying a spacecraft have starting to do so. Institutions with a history of space flight, such as NASA JPL, have begun to put projects on CubeSats that would normally fly on much larger satellites. As a result, the institutions with space flight heritage have begun to port spacecraft software that was previously designed for much larger and more complex satellites to the CubeSat platform. Unfortunately for universities, who are the majority of all institutions devel- oping CubeSats, these ported systems are too large and complex to be a practical control solution. Student teams have a high turnover rate due to graduation and when a student becomes an expert on the control system, they graduate; most students get a maximum of two or three years of experience before graduating. This thesis proposes the Generic Decision Making Framework for Autonomous Systems (GDMFAS) as an accessible, easily extensible, component-based executive system architecture. The architecture is designed for Linux distributions, including the custom Linux distribution used by PolySat, and is implemented using C++. The proposed framework provides much of the same functionality as systems designed for larger satellites in a smaller, more straightforward pack- age, which includes both scheduling and executive components. This thesis also provides validation for the prototype implementation and evaluates the system according to six metrics. The metric analysis for this work is then compared with the metric analyses of previous works.
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Wang, Xinyi. "Generic decision-making on the retreatment of copper tailings dams." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/42845.

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Tailings dam retreatment can be considered as a profitable alternative when tailings contain relatively high metal contents. Moreover, because of low exploration, mining, processing and closure costs, and the recent rise in copper prices, retreatment may generate positive cash flow. Meanwhile revenue from metal extraction can offset rehabilitation cost leading to an improved long-term liability performance. A systematic approach and an Excel spreadsheet model are developed to evaluate economic profits, environmental and social benefits derived from retreatment, and to simulate human decision-making processes. Fuzzy logic and fuzzy-neural equations were employed in the model to deal with imperious and linguistic inputs, and to simulate human’s decision-making process. By user questionnaire and surveys, the model receives inputs data, which will be processed through four different modules to generate final outputs. Economic and Design Module completes conceptual processing flowsheet design, cost estimate, and economic analysis of base case and retreatment project. A Disposal and Reclamation Module is designed to select re-processed tailings disposal and reclamation methods, estimate cost and evaluate the environmental performance. A Risk Assessment Module is aimed at environmental and social risks evaluation of current tailings site. After receiving all the criteria on economic, environmental and social performance improvement, a Decision-Making Module is developed to provide user a recommendation. Generally speaking, this model is able to conceptually design activities from mining to reclamation; evaluate economic, environmental and social benefits; assist multi-criteria decision-making. Four hypothetical cases with different conditions have been processed to validate and verify the retreatment model. As indicated by model running results, the tailing retreatment module is an effective tool to assist in decision making. In addition, the system is working properly and efficiently on given inputs over a range and combination of values.
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Wallenius, Klas. "Generic support for decision-making in management and command and control." Licentiate thesis, KTH, Numerical Analysis and Computer Science, NADA, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1773.

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<p>Flexibility is the keyword when preparing for the uncertainfuture tasks for the civilian and military defence. Supporttools relying on general principles will greatlyfacilitateflexible co-ordination and co-operation between differentcivilian and military organizations, and also between differentcommand levels. Further motivations for general solutionsinclude reduced costs for technical development and training,as well as faster and more informed decisionmaking. Mosttechnical systems that support military activities are howeverdesigned with specific work tasks in mind, and are consequentlyrather inflexible. There are large differences between forinstance fire fighting, disaster relief, calculating missiletrajectories, and navigating large battle-ships. Still, thereought to be much in common in the work of managing thesevarious tasks. We use the term<i>Command and Control</i>(C2) to capture these commonfeatures in management of civilian and military, rescue anddefence operations.</p><p>Consequently, this thesis describes a top-down approach tosupport systems for decision-making in the context of C2, as acomplement to the prevailing bottom-up approaches. DISCCO(Decision Support for Command and Control) is a set ofnetwork-based services including<i>Command Support</i>helping commanders in the human,cooperative and continuous process of evolving, evaluating, andexecuting solutions to their tasks. The command tools providethe means to formulate and visualize tasks, plans, andassessments, but also the means to visualize decisions on thedynamic design of organization. Also included in DISCCO is<i>Decision Support</i>, which, based on AI and simulationtechniques, improve the human process by integrating automaticand semiautomatic generation and evaluation of plans. The toolsprovided by DISCCO interact with a<i>Common Situation Model</i>capturing the recursive structureof the situation, including the status, the dynamicorganization, and the intentions, of own, allied, neutral, andhostile resources. Hence, DISCCOprovides a more comprehensivesituation description than has previously been possible toachieve.</p><p>DISCCO shows generic features since it is designed tosupport a decisionmaking process abstracted from the actualkinds and details of the tasks that are solved. Thus it will beuseful through all phases of the operation, through all commandlevels, and through all the different organizations andactivities that are involved.</p><p><b>Keywords:</b>Command and Control, Management, DecisionSupport, Data Fusion, Information Fusion, Situation Awareness,Network-Based Defence, Ontology.</p>
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Wallenius, Klas. "Generic support for decision-making in effects-based management of operations." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-587.

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Mohemkar-Kheirandish, Reza. "Intra-Household Decision Making." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/29215.

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This dissertation consists of three essays. In the first one (Chapter three), "Gains and Losses from Household Formation," I introduce a general equilibrium model, wherein a household may consist of more than one member, each with their own preferences and endowments. In these models at first, individuals form households. Then, collective decisions (or bargaining) within the household specifies the consumption plans of household members. Finally, competition across households determines a feasible allocation of resources. I consider a model with two types of individuals and pure group externalities. I investigate the competitive equilibrium allocation and stability of the equilibrium in that setting. Specifically, I show that under a certain set of assumptions a competitive equilibrium with free exit is also a competitive equilibrium with free household formation. Similar results are obtained for a special case of consumption externality. Illustrative examples, where prices may change as household structures change, are used to show how general equilibrium model with variable household structure works and some interesting results are discussed at the end of the first essay. In the second essay (Chapter four), “Effects of the Price System on Household Labor Supply,” I introduce leisure and labor into the two-type economy framework that was constructed in the first essay. The main objective of this essay is to investigate the effects of exogenous prices on the labor supply decisions, and completely analyze the partial equilibrium model outcomes in a two-type economy setting. I assume a wage gap and explore the effect of that gap on labor supply. The main content of the second essay is the analysis of the effect of change in wages, price of the private good, power of each individual in the household, relative importance of private consumption compared to leisure, and the level of altruism on individual's decisions about how much private good or leisure he/she wants to consume. The effect of a relative price change on labor supply, private consumption and utility level is also investigated. Moreover, one of the variations of Spence's signaling model is borrowed to explain why higher education of women in Iran does not necessarily translate into higher female labor force participation. Finally, fixed point theorem is used to calculate the power (or alternatively labor supply) of individuals in the household endogenously for the two-type economy with labor at the end of this essay. In the third essay (Chapter five), “Dynamics of Poverty in Iran: What Are the Determinants of the Probability of Being Poor?,” I explore the characteristics of the households who fall below the poverty line and stay there as well as those who climb up later. I decompose poverty in Iran into chronic and transient poverty, and investigate the relation of each component of poverty with certain characteristics of households. I also study mobility and the main characteristics of growth in expenditure of households. One of the main issues in economic policy making nowadays is the evaluation of effectiveness of anti-poverty programs. In order to achieve this goal one should be able to track down a household for a period of time. In this essay, I am going to investigate the dynamics of poverty in Iran during 1992-95. I am especially interested in finding the characteristics of the households that fall below the poverty line and stay there in addition to those that climb up later. Obviously, if policy-makers want to have efficient policies to reduce poverty, they should target the former group. I decompose poverty in Iran into chronic and transient poverty, and investigate the relation of each component of poverty with certain characteristics of households. I also study mobility in this period with an emphasis on mobility in and out of poverty and review the main characteristics of the growth in expenditure of households.<br>Ph. D.
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Williams, Thomas Wayne. "Sinking Poor Decision-Making with Best Practices: A Case Study of Artificial Reef Decision-Making in the Florida Keys." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/838.

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The natural reefs of the world are experiencing higher use and pressures, resulting in anthropogenic impacts that are deteriorating many coral stands and creating poor water quality. The Florida Keys rely primarily on the reef system that surrounds the archipelago for their socioeconomic health and successful future. The Florida Keys shares the symbiotic relationship of the terrestrial and marine realms with many other states and countries and the experience of higher demand on the resource. Artificial reefs could provide a substitute to the natural reefs for commercial and recreational users. An increased demand for derelict vessels of the U.S. Navy and Maritime Administration has illustrated the popularity of their use as artificial reefs.Local decision-makers do not have the experience to apply to an artificial reef proposal and many rely on existing anecdotal data and "expert" testimony. A lack of evaluation criteria adds to the difficulties of determining if an artificial reef proposal is appropriate for their community. With little empirical data available in the literature and a lack of comprehensive pre and post deployment data completed, how does the decision-maker decide? This study seeks to determine if a method exists that provides criteria and best practices for evaluation of artificial reef projects. Although the study's focus is on artificial reefs, this matrix could be modified to apply to any project where similar dynamics apply. The matrix uses a disaggregate method modeled after the Goeller scorecard. The model provides a best practice's matrix developed through a meta-analysis of three existing artificial reef projects, a comprehensive literature review, and interviews with three decision-makers at different levels of participation. The matrix applies identified best practices and provides a scoring method that can assist the decision-making process. This study acknowledges the limitations of a research project such as this and realizes that many decisions in a political realm have variables not covered in a study of this scope. However, an identified lack of decision-making continuity demonstrates the need for such a study and the research provided within this study is an important first step.
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Kristjansson, Arnar Helgi. "Platform Assessment Matrix (PAMatrix) : A Method to Support Decision Making on Product Platforms." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Engineering Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-686.

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<p>In the last century there have been drastic changes in the way products are developed and manufactured – manufacturing technologies have advanced and at the same time global competition has increased tremendously. For companies to survive, the name of the game has been to offer greater product variety, in more frequent intervals, and for a lower price. Mass production has been replaced by mass customization, where the basic rule is that the customers should get exactly what they want, at the time they want it.</p><p>A partial remedy to concurrently lower cost as well as provide customers with a greater number of variants has been to use platforms*. Platforms in the manufacturing industry have at times been highly advantageous while in other instances they have caused more problems than benefit. Platforms exist in different contexts and scope, and it has been found that companies need to improve their platform management skills in order to increase the general level of competitive advantage.</p><p>This dissertation proposes that a company can considerably improve the management of its platforms by increasing its holistic understanding of them. To do this, platforms are viewed from different viewpoints that aim to both display the effect a platform has on its surroundings, as well as the effect its surroundings has on it. This approach has been incorporated into a method called the PAMatrix (Platform Assessment Matrix) that uses a synthesis of cross-functional, subjective expert opinion and consensus based decision making.</p><p>The PAMatrix method uses already existing implicit and explicit knowledge to improve decision making on how to manage each individual platform. First a set of platforms are identified that the company views as key enablers for creating a competitive advantage. The platforms are then assessed from several different viewpoints – each capturing a partial evaluation of the platforms’ status or effect. After an assessment of a viewpoint, each stakeholder individually suggests a specific strategic action plan along with a weight factor of how important the viewpoint is to the overall assessment of the specific platform. Finally, the discrete action plan suggestions are collected and jointly assessed and debated – based on which, a final strategic action plan can be made.</p><p>The method has been tested in three industrial situations, where its use has been considered beneficial and platform understanding has increased.</p><p>* In this dissertation, a platform is defined as the set of core assets that are reused to create a competitive advantage.</p>
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Books on the topic "Generic decision making matrix"

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Morton, Fiona Scott. Entry decisions in the generic pharmaceutical industry. National Bureau of Economic Research, 1997.

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Piech, Henryk. Researches [sic] of [sic] improving consistent judgement in Saaty matrix. Publ. Office of Czestochowa University of Technology, 2000.

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Lowy, Alex. The Power of the 2 x 2 Matrix. John Wiley & Sons, Ltd., 2004.

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Fox, Samantha. The directional policy matrix as a tool for strategic decision making in the SME sector. The Author], 1999.

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1951-, Hood Phil, ed. The power of the 2x2 matrix: Using 2x2 thinking to solve business problems and make better decisions. Jossey-Bass, 2004.

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Monke, Eric A. The policy analysis matrix for agricultural development. Cornell University Press, 1989.

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Quality standards for decision making: What they could look like. Edgar Hartel, 2014.

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Rethinking our collective decision making: Let's use visual tools to avoid more disasters. Edgar Hartel, 2019.

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King, Alan R. Bayesian solutions to a 2 x 2 decision matrix using interval scaled payoffs with an application to foreign policy decisions. 1987.

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Corder, Jan Busby. THE ASSOCIATION AMONG CRITICAL THINKING, CLINICAL DECISION-MAKING, AND SELECTED DEMOGRAPHIC CHARACTERISTICS OF GENERIC BACCALAUREATE NURSING STUDENTS. 1992.

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Book chapters on the topic "Generic decision making matrix"

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Egelhoff, William G., and Joachim Wolf. "Decision-Making Within Matrix Structures." In Understanding Matrix Structures and their Alternatives. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-57975-1_6.

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Krzysztofowicz, Roman. "Generic Utility: Measurements of Risk Functions and Their Robustness." In Decision Making Under Risk and Uncertainty. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2838-4_16.

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Tounsi, Jihene, Julien Boissière, Georges Habchi, and Van-Dat Cung. "A Generic Knowledge Model for SME Supply Chain Based on Multiagent Paradigm." In Decision-Making for Supply Chain Integration. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4033-7_2.

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Deli, Irfan. "Matrix Games with Simplified Neutrosophic Payoffs." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_10.

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Joshi, Prashant. "Modeling Working Memory and Decision Making Using Generic Neural Microcircuits." In Artificial Neural Networks – ICANN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11840817_54.

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Wang, Hai, and Zeshui Xu. "Group Decision-Making Based on EHFLTSs Under the Framework of Decision Matrix." In Uncertainty and Operations Research. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3735-2_3.

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Atanassov, Krassimir, and Tania Pencheva. "InterCriteria Analysis Approach as a Tool for Promising Decision Making in Physiological Rhythms." In 2019-20 MATRIX Annals. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62497-2_15.

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Weerakkody, S. D. "Risk-Informed Decision Making in Generic Safety Issue Resolution and Rulemaking." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_152.

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Liberti, Leo, and Carlile Lavor. "On a Relationship Between Graph Realizability and Distance Matrix Completion." In Optimization Theory, Decision Making, and Operations Research Applications. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5134-1_3.

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Munier, Nolberto, Eloy Hontoria, and Fernando Jiménez-Sáez. "The Initial Decision Matrix (IDM) and Its Fundamental Role in Modelling a Scenario." In Strategic Approach in Multi-Criteria Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02726-1_2.

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Conference papers on the topic "Generic decision making matrix"

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WANG, Gang, and Yongfu WEI. "Study a sequence of processing craft-work decision-making base on constraint matrix and genetic algorithm." In 2013 International Conference on Information, Business and Education Technology (ICIBET-2013). Atlantis Press, 2013. http://dx.doi.org/10.2991/icibet.2013.198.

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Brady, Timothy K. "Utilization of Dependency Structure Matrix Analysis to Assess Complex Project Designs." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dtm-34021.

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This paper describes a framework for evaluating the long-term effect of early project implementation decisions. Early decisions, such as establishing the system architecture and selecting technology of particular maturity, can have lasting impact throughout the project development process and during the project’s operations phase. A systems engineering analysis framework using two different extensions of dependency structure matrix (DSM) analysis was developed to provide a comprehensive system view of the project architecture and the technology choices. An “interface DSM” mapped the dependence of components on one another and identified the impact of component criticality on the project’s operations. A “technology risk DSM” included a component technology risk factor to help identify the patterns of system level risk. This analytical framework can be used to expand the design and management teams’ holistic view of the project, which can be used to enhance project implementation decision-making. The analytical framework described in this paper was applied to two spacecraft projects, which served as case studies. Analytical observations were compared to post-project lessons learned to develop a general understanding of the relationship between the critical elements of each project’s structure and the successful implementation approach for each case.
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Rodrigues, Matilde A., Pedro M. Arezes, and Celina P. Leão. "Risk Decision: Main Constraints and Approaches." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88354.

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The key factor in risk management process is the risk acceptance decision. However, it is not an easy task since different approaches can be adopted. In Portugal, it is unknown how companies decide in relation to the risk acceptance of the occupational risks and on the need to implement risk reduction measures. Building on these facts, this work aims to analyze how Portuguese organizations make their decisions concerning occupational accident risk and the main constraints to the decision process, and to identify the most appropriate approach to be applied. The questionnaire Risk Decision Analysis was developed and applied on a sample of Portuguese Occupational Health &amp; Safety Professionals. The results show that the type of OHS services was the main factor that influenced the risk analysis activities and the type of risk assessment, namely in relation to quantitative risk assessments: the in-house OHS personnel use more quantitative risk assessments than the external consultants. Both qualitative and quantitative criteria need to be considered, but quantitative criteria are preferred in relation to qualitative criteria. In relation to risk measures used, the risk matrix is the most used to evaluate the risks of particular activities and risk rates for evaluating the safety performance of organizations. The study also shows that ALARP principle is the best approach to be applied in decision-making process on occupational risk. In general, the study emphasized the need of guidelines that helps in acceptance criteria formulation.
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Kazmer, David, and Liang Zhu. "An Integrated Performance Modeling System." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59100.

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An integrated performance modeling system is presented for use in general decision making problems including engineering design, manufacturing process and quality control, and other applications. The system relies on a function matrix that relates decision variables to performance variables. The system utilizes both global and local linearization of non-linear functions, after which the Extensive Simplex Method is used to derive the set of all feasible decisions based upon the specification limits for the performance variables and the control limits on the decision variables. Beyond current Six Sigma best practices, the described system explicitly considers both modeling uncertainty and uncontrolled variation. The specification limits may be automatically tightened by the confidence intervals and variation limits to ensure feasibility to a desired level of confidence and robustness. Three sets of feasible decisions are established including 1) the global feasible set that establishes the extreme limits of feasibility by allowing all the decision variables to vary simultaneously within their range of the control limits, 2) the local feasibility, which shows the immediate feasibility for each decision variable holding other decision variables at their current value, and 3) the controllable feasibility for each performance variable holding other performance variables at their current value. The system provides a perspective view of 1) the function matrix, 2) a historical view of the decision variables which may be used in a manner similar to statistical process control X-Bar charts, 3) a historical view of the performance variables which may be used in a manner similar to statistical quality control charts, 4) a set of decision windows showing the joint feasibility of all pairs of decision variables, which may be used in a manner similar to process windows, and 5) a set of performance windows showing the joint feasibility of all pairs of performance variables, which may be used in a manner similar to Pareto Optimal graphs. An example is provided for a beam design model with four decision variables and three performance variables.
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Artana, Ketut Buda. "Multiple Criteria Decision Making (MCDM) Process in Selecting Location for Floating Storage and Regasification Unit (FSRU): A Case Study of Bali Island Project." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79566.

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This paper presents a case study in selecting the best location for a Floating Storage and Regasification Unit (FSRU) in Bali. FSRU is an alternative to replace a conventional shore LNG terminal. The selection involves several criteria/attributes that can be grouped into two general attributes, namely qualitative and quantitative attribute. Multiple Criteria Decision Making (MCDM) approach is utilized to solve the selection problem, considering the capability of this method in solving multi-criteria problem with mutual conflict. Qualitative criteria is evaluated using AHP method to calculate weight of each criteria, and decision matrix algorithm is then utilized to convert preference of stakeholders into, consecutively, probability assignment, total probability assignment and preference degree. Quantitative criteria are also converted into preference degree and after combining with the preference degree of qualitative attribute, entropy method is then used to rank the alternatives. Selected location would be the alternative having the highest entropy. Four alternatives are under consideration; Benoa, Celukan Bawang, Pemaron and Gilimanuk. This research found that Celukan Bawang is the best location for the FSRU.
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Gross, Jared, Kijung Park, and Gül E. Okudan Kremer. "Design for Additive Manufacturing Inspired by TRIZ." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85761.

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With the rise in popularity of additive manufacturing (AM), relevant design methodologies have become necessary for designers to reap the full benefits from this technology. TRIZ is a problem-solving tool developed to assist with innovative and creative solutions. This paper aims to create a new TRIZ matrix specifically developed for designers using additive manufacturing. The TRIZ matrix offers designers general innovative design solutions to improve specific features of a design while not sacrificing the effectiveness of other features. The proposed matrix can help effective design decision making for additive manufacturing in an early design process as well as a redesign process. Also, a design for additive manufacturing (DfAM) worksheet is provided to enable users to easily find specific design solutions for certain additive manufacturing techniques based on the general solutions derived by the TRIZ matrix. To illustrate the potential of this AM specific TRIZ matrix, case studies are presented.
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Leroy, Yann, François Cluzel, and Guillaume Lame. "Comparing Sustainable Performance of Industrial System Alternatives by Integrating Environment, Costs, Clients and Exploitation Context." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34882.

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Life Cycle Assessment (LCA) is a methodology to assess environmental performances of products throughout their life cycles. Traditionally, LCA-based decision-making focuses on environmental impacts, excluding customer expectations and economic considerations. Moreover, it usually uses generic data while environmental performances of industrial systems often depend on local contexts. The aim of this paper is to provide a comprehensive framework to identify the solution most adapted to a specific context, considering environmental, economic and commercial aspects. First, environmental performances of competing products are compared thanks to LCA. A sensitivity analysis highlights influential parameters on which operational scenarios are built. Costs are then incorporated into a set of exploitation scenarios. Second, matrix-based approach is used. Products are ranked according to several client profiles. The most suitable solution for a given context is identified. This framework is applied on three burners for forge furnaces. Results show that client profiles and operational contexts (namely client expectations, location and resources availability and costs) affect choices.
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Pei, Zhi, and Li Zheng. "Simplification of decision making matrix in fuzzy multiple attribute decision making." In 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2011. http://dx.doi.org/10.1109/ieem.2011.6117874.

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Quan Zhang, Dan Shao, and Wen-Jia Feng. "Group decision making with interval judgment matrix." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597712.

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Clark, Alastair S., and Zdenko Jurjevic. "Fast Simulation of Dynamic Behaviour of Heavy Duty Gas Turbines for Quality Improvement and Reduced Design Cycle Time." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27382.

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ALSTOM has made big improvements in simulating the dynamic behaviour of the GT (rotor, bearings and structural parts), in terms of displacements and forces by developing a 2 stage approach comprising a simplified physical model and detailed calculations using finite elements condensed into a matrix super element (substructuring). The models from each have been validated against frequency measurements. The simplified approach provides a fast overview in terms of sensitivity analysis of basic physical influences. It accurately reflects the generic dynamic behaviour of both rotor and structure. Reducing the FE-calculation time by a factor of 10 has enabled the influence of small or large modifications to individual part designs on the dynamic behaviour of the GT to be understood to the highest level of detailed design features. Calculated frequency results from modal and forced response calculations are compared to measurements within a 2% margin. In particular the focus is on the improvements in the quality of the finite element modelling with more detailed features and more accurate identification of eigenfrequencies and coupled modes. Validation work comprises the modal analysis of single parts and subassemblies as well as matching mode shapes and frequencies of complete gas turbine. Models are used to evaluate design improvements prior to engine testing or implementation in field engines in order to comply with prescribed exclusion zones, to be introduced as early as the concept stage as well as providing project teams with overviews for planning and decision making. Future developments to include Modal Assurance Criteria and rapid post-processing will further reduce design cycle time and improve quality in terms of the consistency and repeatability with regard to mode shape recognition.
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