Combining Support Vector Machine and Data Envelopment Analysis to Predict Corporate Failure for Nonmanufacturing Firms

Workshop 2015 -Advances in DEA Theory and Applications (December 1-2, 2015)Research on corporate failure prediction has drawn numerous scholars’ attention because of its usefulness in corporate risk management, as well as in regulating corporate operational status. Most previous research related to this topic focused on manufacturing companies and relied heavily on corporate assets. The asset size of a manufacturing company plays a vital role in traditional research methods; Altman’s Z score model is one such traditional method. However, very limited number of research studied corporate failure prediction for nonmanufacturing companies as the operational status of such companies is not solely correlated to their assets. In this manuscript we use support vector machines (SVMs) and data envelopment analysis (DEA) to provide a new method for predicting corporate failure of nonmanufacturing firms. We first generate efficiency scores using a slack-based measure (SBM) DEA model, using the recent three years historical data of nonmanufacturing firms; then we used SVMs to classify bankrupt firms and healthy ones. We show that using DEA scores as the only inputs into SVMs predict corporate failure more accurately than using the entire raw data available.The workshop is supported by JSPS (Japan Society for the Promotion of Science), Grant-in-Aid for Scientific Research (B), #25282090, titled “Studies in Theory and Applications of DEA for Forecasting Purpose.本研究はJSPS科研費 基盤研究(B) 25282090の助成を受けたものです

AoA Paradigm for Early Visibility of Logistics and Cost in the Acquisition Process

NPS NRP Technical ReportAoA Paradigm for Early Visibility of Logistics and Cost in the Acquisition ProcessN4 - Fleet Readiness & LogisticsThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Data Envelopment Analysis may Obfuscate Corporate Financial Data: Using Support Vector Machine and Data Envelopment Analysis to Predict Corporate Failure for Nonmanufacturing Firms

This is an Accepted Manuscript of an article published by Taylor & Francis in INFOR: Information Systems and Operational Research in 2017, available online: https://doi.org/10.1080/03155986.2017.1282290Corporate failure prediction has drawn numerous scholars’ attention because of its usefulness in corporate risk management, as well as in regulating corporate operational status. Most research on this topic focuses on manufacturing companies and relies heavily on corporate assets. The asset size of manufacturing companies play a vital role in traditional research methods; Altman’s score model is one such traditional method. However, a limited number of researchers studied corporate failure prediction for nonmanufacturing companies as the operational status of such companies is not solely correlated to their assets. In this paper we use support vector machines (SVMs) and data envelopment analysis (DEA) to provide a new method for predicting corporate failure of nonmanufacturing firms. We show that using only DEA scores provides better predictions of corporate failure predictions than using the original, raw, data for the provided dataset. To determine the DEA scores, we first generate efficiency scores using a slack-based measure (SBM) DEA model, using the recent three years historical data of nonmanufacturing firms; then we used SVMs to classify bankrupt and non-bankrupt firms. We show that using DEA scores as the only inputs into SVMs predict corporate failure more accurately than using the entire raw data available.Natural Sciences and Engineering Research Council of Canad

A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2

The ongoing outbreak of SARS-CoV-2 has been deeply impacting health systems worldwide. In this context, it is pivotal to measure the efficiency of different nations’ response to the pandemic, whose insights can be used by governments and health authorities worldwide to improve their national COVID-19 strategies. Hence, we propose a network Data Envelopment Analysis (DEA) to estimate the efficiencies of fifty-five countries in the current crisis, including the thirty-seven Organisation for Economic Co-operation and Development (OECD) member countries, six OECD prospective members, four OECD key partners, and eight other countries. The network DEA model is designed as a general series structure with five single-division stages – population, contagion, triage, hospitalisation, and intensive care unit admission –, and considers an output maximisation orientation, denoting a social perspective, and an input minimisation orientation, denoting a financial perspective. It includes inputs related to health costs, desirable and undesirable intermediate products related to the use of personal protective equipment and infected population, respectively, and desirable and undesirable outputs regarding COVID-19 recoveries and deaths, respectively. To the best of the authors’ knowledge, this is the first study proposing a cross-country efficiency measurement using a network DEA within the context of the COVID-19 crisis. The study concludes that Estonia, Iceland, Latvia, Luxembourg, the Netherlands, and New Zealand are the countries exhibiting higher mean system efficiencies. Their national COVID-19 strategies should be studied, adapted, and used by countries exhibiting worse performances. In addition, the observation of countries with large populations presenting worse mean efficiency scores is statistically significant.info:eu-repo/semantics/publishedVersio

Naval Research Program 2019 Annual Report

NPS NRP Annual ReportThe Naval Postgraduate School (NPS) Naval Research Program (NRP) is funded by the Chief of Naval Operations and supports research projects for the Navy and Marine Corps. The NPS NRP serves as a launch-point for new initiatives which posture naval forces to meet current and future operational warfighter challenges. NRP research projects are led by individual research teams that conduct research and through which NPS expertise is developed and maintained. The primary mechanism for obtaining NPS NRP support is through participation at NPS Naval Research Working Group (NRWG) meetings that bring together fleet topic sponsors, NPS faculty members, and students to discuss potential research topics and initiatives.Chief of Naval Operations (CNO)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Patient Safety, Risk Reduction, and the Law

Patient safety has come of age. With the publication of several empirical studies of medical injuries and the recent Institute of Medicine Report, To Err is Human: Building a Safe Health System, scholars from a variety of disciplines are advocating systems thinking as a way of preventing medical accidents. These scholars have been influenced by efforts to reduce accidents in other high risk industries such as aviation and scholarship in law proposing no fault systems for compensating medical accident victims. This article proposes that in order to incorporate systems thinking about medical error reduction, legal scholarship on the health care system must move beyond its preoccupation with the medical liability system. To develop a new framework for the role of law in enhancing patient safety, this article proposes that law\u27s interaction with the public health system is the appropriate starting point for framing the legal analysis of patient safety. This framing of the issues acknowledges that the liability system may have a role to play in error reduction in medicine, but determining what this role is requires more empirical study of legal institutions as part of the emerging system of patient safety. To discover the appropriate role of law in the prevention of medical errors, this article encourages legal scholars to learn to pose empirical questions about how various institutions interact with the health care system

A Guide to Additive Manufacturing

This open access book gives both a theoretical and practical overview of several important aspects of additive manufacturing (AM). It is written in an educative style to enable the reader to understand and apply the material. It begins with an introduction to AM technologies and the general workflow, as well as an overview of the current standards within AM. In the following chapter, a more in-depth description is given of design optimization and simulation for AM in polymers and metals, including practical guidelines for topology optimization and the use of lattice structures. Special attention is also given to the economics of AM and when the technology offers a benefit compared to conventional manufacturing processes. This is followed by a chapter with practical insights into how AM materials and processing parameters are developed for both material extrusion and powder bed fusion. The final chapter describes functionally graded AM in various materials and technologies. Throughout the book, a large number of industrial applications are described to exemplify the benefits of AM

A Guide to Additive Manufacturing

This open access book gives both a theoretical and practical overview of several important aspects of additive manufacturing (AM). It is written in an educative style to enable the reader to understand and apply the material. It begins with an introduction to AM technologies and the general workflow, as well as an overview of the current standards within AM. In the following chapter, a more in-depth description is given of design optimization and simulation for AM in polymers and metals, including practical guidelines for topology optimization and the use of lattice structures. Special attention is also given to the economics of AM and when the technology offers a benefit compared to conventional manufacturing processes. This is followed by a chapter with practical insights into how AM materials and processing parameters are developed for both material extrusion and powder bed fusion. The final chapter describes functionally graded AM in various materials and technologies. Throughout the book, a large number of industrial applications are described to exemplify the benefits of AM

Management: A bibliography for NASA managers

This bibliography lists 706 reports, articles, and other documents introduced into the NASA scientific and technical information system in 1984. Entries, which include abstracts, are arranged in the following categories: human factors and personnel issues; management theory and techniques; industrial management and manufacturing; robotics and expert systems; computers and information management; research and development; economics, costs, and markets; logistics and operations management; reliability and quality control; and legality, legislation, and policy. Subject, personal author, corporate source, contract number, report number, and accession number indexes are included

On Counterinsurgency: Firepower, Biopower, and the Collateralization of Milliatry Violence

This dissertation investigates the most recent cycle of North Atlantic expeditionary warfare by addressing the resuscitation of counterinsurgency warfare with a specific focus on the war in Afghanistan from 2006 to 2014. The project interrogates the lasting aesthetic, epistemological, philosophical, and territorial implications of counterinsurgency, which should be understood as part of wider transformations in military affairs in relation to discourses of adaptation, complexity, and systemic design, and to the repertoire of global contingency and stability operations. Afghanistan served as a counterinsurgency laboratory, and the experiments will shape the conduct of future wars, domestic security practices, and the increasingly indistinct boundary between them. Using work from Michel Foucault and liberal war studies, the project undertakes a genealogy of contemporary population-centred counterinsurgency and interrogates how its conduct is constituted by and as a mixture firepower and biopower. Insofar as this mix employs force with different speeds, doses, and intensities, the dissertation argues that counterinsurgency unrestricts and collateralizes violence, which is emblematic of liberal war that kills selectively to secure and make life live in ways amenable to local and global imperatives of liberal rule. Contemporary military counterinsurgents, in conducting operations on the edges of liberal rule's jurisdiction and in recursively influencing the domestic spaces of North Atlantic states, fashion biopoweras custodial power to conduct the conduct of lifeto shape different interventions into the everyday lives of target populations. The 'lesser evil' logic of counterinsurgency is used to frame counterinsurgency as a type of warfare that is comparatively low-intensity and less harmful, and this justification actually lowers the threshold for violence by making increasingly indiscriminate the ways in which its employment damages and envelops populations and communities, thereby allowing counterinsurgents to speculate on the practice of expeditionary warfare and efforts to sustain occupations. Thus, the dissertation argues that counterinsurgency is a communicative process, better understood as mobile military media with an atmospheric-environmental register blending acute and ambient measures that are always-already kinetic. The counterinsurgent gaze enframes a world picture where everything can be a force amplifier and everywhere is a possible theatre of operations