Optimal decisions for operations management of BDAR: A military industrial logistics data analytics perspective

Li, Xiong; Zhao, Xiaodong; Pu, Wei; Chen, Ping; Liu, Fang; He, Zhenni

doi:10.1016/j.cie.2019.106100

Cited by 11 publications

(5 citation statements)

References 47 publications

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“…This graph corresponds to the system of linear differential equations of the first order (1), which describes the probability of the functioning of the logistics system in its main states. The use of such a simple mathematical apparatus favorably distinguishes the proposed model from those reported in [1][2][3][4][5][6][7] (methods of minimizing the functions of many variables or methods of integer programming).…”

Section: Discussion Of Results Of Studying the Model Of Functioning Of A Military Logistics Systemmentioning

confidence: 99%

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Devising matrix technology for forecasting the dynamics in the operation of a closed military logistics system

Ugol'nikov

Diachenko

Kliat

et al. 2021

EEJET

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There is a tendency of intensive development of a new scientific area aimed at optimizing the processes of comprehensive ensuring the life of society and industrial processes of countries, specifically logistics, and its more important aspect, military logistics. This paper considers typical contradictions between the need and opportunities for additional development of the theory of processes involving this system. On the one hand, the military has important, dynamic, multifaceted processes for the comprehensive provision of their combat operations to analyze, which requires significant intensification of the development of methods and models for quantitative analysis of the effectiveness of the functioning of military logistics systems. On the other hand, there is now limited availability of theoretical developments and the practical application of the necessary, convenient, effective mathematical tools aimed at computerization of solving the problems of providing military scientific and technical problems in real time. Matrix technology for forecasting the dynamics of functioning of closed systems of military logistics of various military purposes is proposed. Matrix calculus makes it possible to obtain intermediate and ultimate results in a compact form and carry out complex and cumbersome calculations using effective algorithms. A method to precisely solve the system of linear differential equations describing processes of arbitrary type has been proposed. The method is based on the use of the operational calculus by Laplace. The possibilities of the method and procedures of forecasting are illustrated by solving practical military tasks that arise during the functioning of military logistics systems of varying complexity. These tasks differ in configuration, different numbers of possible states, and state transitions

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Section: Discussion Of Results Of Studying the Model Of Functioning Of A Military Logistics Systemmentioning

confidence: 99%

“…Study [7] considers the task of choosing a safe cargo supply route in war zones. Unlike the classic setting of the task about the salesman, a parameter is introduced into consideration, which characterizes the safety of the selected route (the probability of delivery of goods to its intended destination).…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising matrix technology for forecasting the dynamics in the operation of a closed military logistics system

Ugol'nikov

Diachenko

Kliat

et al. 2021

EEJET

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“…Study [17] reports a systematized procedure for making optimal decisions regarding the management of assessment and restoration of damaged WME. The approach is based on statistical data collected in real combat operations.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a scientific-methodical apparatus for the appropriate distribution of damaged weapons among specialized repair and restore units

Maistrenko,

Khoma,

Kurban

et al. 2024

EEJET

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The object of this study is the process of distribution of damaged weapons and military equipment of various types among specialized repair and restoration units. The problem being solved is the lack of adaptability of the existing scientific and methodical apparatus to the expedient distribution of damaged weapons and military equipment of various types among specialized repair and restoration units. An algorithm for the expedient distribution of damaged weapons and military equipment among specialized repair and restoration units is proposed, which is based on the method of non-linear programming (the method of two functions). The essence of the developed algorithm is to take into account the non-linearity of objective functions of both the consumer and the resource. A feature of the developed algorithm of expedient distribution is taking into account the heterogeneity of both damaged weapons and military equipment, as well as the specificity of repair and restoration units. The scope of practical application of the proposed algorithm is management processes in military hostilities during combat operations. The procedure for appointing specialized repair and restoration units for the restoration of damaged weapons and military equipment has been improved. The peculiarity of the proposed procedure is that it is based on the distribution of damaged weapons and military equipment not only on the basis of the capacity of certain repair and restoration units but also taking into account their compliance. The specified procedure makes it possible to select those repair and restoration units that could allow for an increase in the level of restoration of damaged weapons and military equipment by 20 %. The scope of practical application of the improved procedure is the management processes of the technical support system of troops when planning measures to restore damaged weapons and military equipment

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“…Early digitization of workflows has allowed for data to be collected at each step of the production process, and a continuous monitoring system established to rapidly identify and resolve any blocks to efficient workflow and production. 10 Such a closed-loop learning model has not yet been widely adopted in health care, despite known serious consequences of delays in health care processes and workflows. For example, extended patient wait times in emergency departments are directly proportional with an increased risk of death.…”

Section: Background and Significancementioning

confidence: 99%

“…The following data were extracted from all final included studies: (1) study design, (2) country, (3) health care setting, (4) target population, (5) sample size, (6) duration/time, (7) target user, (8) interventions, ( 9) clinical care outcome measures, (10) clinical process outcome measures, (11) algorithm sensitivity/specificity, (12) anecdotal evidence, (13) implementation, ( 14) main findings, and ( 15) evidence for research questions RQ1 to RQ3…”

Section: Screening and Data Extractionmentioning

confidence: 99%

Toward a Learning Health Care System: A Systematic Review and Evidence-Based Conceptual Framework for Implementation of Clinical Analytics in a Digital Hospital

et al. 2022

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Objective A learning health care system (LHS) uses routinely collected data to continuously monitor and improve health care outcomes. Little is reported on the challenges and methods used to implement the analytics underpinning an LHS. Our aim was to systematically review the literature for reports of real-time clinical analytics implementation in digital hospitals and to use these findings to synthesize a conceptual framework for LHS implementation. Methods Embase, PubMed, and Web of Science databases were searched for clinical analytics derived from electronic health records in adult inpatient and emergency department settings between 2015 and 2021. Evidence was coded from the final study selection that related to (1) dashboard implementation challenges, (2) methods to overcome implementation challenges, and (3) dashboard assessment and impact. The evidences obtained, together with evidence extracted from relevant prior reviews, were mapped to an existing digital health transformation model to derive a conceptual framework for LHS analytics implementation. Results A total of 238 candidate articles were reviewed and 14 met inclusion criteria. From the selected studies, we extracted 37 implementation challenges and 64 methods employed to overcome such challenges. We identified common approaches for evaluating the implementation of clinical dashboards. Six studies assessed clinical process outcomes and only four studies evaluated patient health outcomes. A conceptual framework for implementing the analytics of an LHS was developed. Conclusion Health care organizations face diverse challenges when trying to implement real-time data analytics. These challenges have shifted over the past decade. While prior reviews identified fundamental information problems, such as data size and complexity, our review uncovered more postpilot challenges, such as supporting diverse users, workflows, and user-interface screens. Our review identified practical methods to overcome these challenges which have been incorporated into a conceptual framework. It is hoped this framework will support health care organizations deploying near-real-time clinical dashboards and progress toward an LHS.

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Optimal decisions for operations management of BDAR: A military industrial logistics data analytics perspective

Cited by 11 publications

References 47 publications

Devising matrix technology for forecasting the dynamics in the operation of a closed military logistics system

Devising matrix technology for forecasting the dynamics in the operation of a closed military logistics system

Devising a scientific-methodical apparatus for the appropriate distribution of damaged weapons among specialized repair and restore units

Toward a Learning Health Care System: A Systematic Review and Evidence-Based Conceptual Framework for Implementation of Clinical Analytics in a Digital Hospital

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