Temporal Disaggregation of Performance Measures to Manage Uncertainty in Transportation Logistics and Scheduling

Pennetti, Cody A.; Jun, Jungwook; Jones, Geraldine S.; Lambert, James H.

doi:10.1061/ajrua6.0001096

Cited by 7 publications

(2 citation statements)

References 39 publications

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“…For example, the identified overlap across scenarios including emergent and future conditions, budgetary constraints, pandemic‐induced economic downturn indicate that scenario overlap has impacts on disruptive events. For stakeholders, there is value in the distinction between their intuition of criteria value changes and their justification for such changes (Pennetti et al, 2021). The article finds sources of risk across five dimensions.…”

Section: Discussionmentioning

confidence: 99%

“…However, system priorities are subject to change, especially under situations of deep uncertainty (Thekdi & Chatterjee, 2019). The value of a method to identify priorities before selecting a quantitative evaluation model for proposal was demonstrated by Pennetti et al (2021) In a limited resource (budget) scenario there is need for a highlevel analysis technique such as the risk register proposed in this article (Alsultan et al, 2021;Donnan et al, 2020). There will never be a complete prediction of what system needs will exist in the future (Hamilton et al, 2015;Teng et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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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Section: Discussionmentioning

confidence: 99%