Enterprise risk management for automation in correctional facilities with pandemic and other stressors

Daniel J. Andrews; Timothy L. Eddy; Kelsey S. HollenbackShravan SreekumarDavis C. LooseCody A. PennettiThomas L. PolmateerJames C. HaugLessie I. Oliver-ClarkJoi Y.WilliamsMark C. ManascoSteven SmithJames H. Lambert

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Enterprise risk management for automation in correctional facilities with pandemic and other stressors

机译：Enterprise risk management for automation in correctional facilities with pandemic and other stressors

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Real-time tracking of tool and equipment inventories is a critical function of many organizations and sectors. For prisons and correctional facilities, tracking and monitoring of assets such as cookware, hardware, keys, janitorial equipment, vocational/ technical specialty tools, etc., is essential for safety, security, trust, efficiency, education, etc. The performance of automated systems for this purpose can be diminished by a variety of emergent and future sociotechnical factors alone and in combination. This article introduces a methodology for contractor evaluation and selection in acquisition of innovative asset management systems, with an emphasis on evolving system requirements under uncertainty. The methodology features a scenariobased preferences analysis of emergent and future conditions that are disruptive to the performance of the asset-control system. The conditions are across technologies, operating environments, regulations, workforce behaviors, offender behaviors, prices and markets, organizations, cyber threats, etc. The methodology addresses the influence and interaction of the conditions to disrupt system priorities. Examples include: (ⅰ) infectious disease disrupting priorities among requirements and (ⅱ) radio-frequency identification (RFID) and wireless-technology innovations disrupting priorities among stakeholders. The combinations of conditions that most and least matter for the system acquisition are characterized. The methodology constitutes a risk register for monitoring sources of risk to project performance, schedule, and cost throughout the system lifecycle. The results will be of interest to both practitioners and scholars engaged in systems acquisition as the pandemic interacts with other factors to affect risk, uncertainty, and resilience of organizational missions and operations.

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《Risk analysis》 |2023年第4期|820-837|共18页
作者
Daniel J. Andrews; Timothy L. Eddy; Kelsey S. HollenbackShravan SreekumarDavis C. LooseCody A. PennettiThomas L. PolmateerJames C. HaugLessie I. Oliver-ClarkJoi Y.WilliamsMark C. ManascoSteven SmithJames H. Lambert;
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School of Engineering Systems and Environment, University of Virginia, Charlottesville, Virginia, USA;

Longwood University, Farmville, Virginia, USA;

Department of Applied Engineering Technology, Virginia State University, Petersburg, Virginia, USACommonwealth Center for Advanced Logistics Systems, Richmond, Virginia, USAVirginia Department of Corrections, Richmond, Virginia, USA;

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正文语种英语
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asset management; risk analysis; scenario analysis; Security; systems engineering;

Enterprise risk management for automation in correctional facilities with pandemic and other stressors

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