The trade-off between DES and SD in modelling military manpower

Jajo, Nethal K.

doi:10.5267/j.msl.2015.2.002

Cited by 7 publications

(3 citation statements)

References 12 publications

(12 reference statements)

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“…Although Guerry and De Feyter (2009) suggest that a Markovian force structure model is an interesting tool for gaining insights (e.g., through what-if analysis), they acknowledge that it has some critical limitations. argues that system dynamics is most suitable in cases where the effects of feedback are important to consider; while prefer the flexibility of discrete event simulation, Jajo (2015) prefers discrete event simulation for its ability to track and monitor individuals' attributes and for its suitability for modeling small populations.…”

Section: Modeling Force Structures and Training Systemsmentioning

confidence: 99%

“…Some practitioners have discussed the suitability of system dynamics versus DES approaches, both for military workforce planning problems (Jajo 2015; and in the broader field of modeling and simulation (Chahal and Eldabi 2008;Tako and Robinson 2009;Greasley 2009). It is generally accepted that system dynamics is a suitable approach for strategic-level problems where the goal is to understand the overall functioning of the system and the interactions within it, whereas discrete event simulation offers a higher level of granularity for problems at the operational level (Helal and Rabelo 2017).…”

Section: Modeling Force Structures and Training Systemsmentioning

confidence: 99%

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Military Workforce Analytics

Straver

2021

Handbook of Military Sciences

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As a consequence of the closed, hierarchical nature of military organizations, good planning is key to ensuring that a military workforce will be well-situated to meet future demands. This chapter explores the role of data-driven decision support (referred to as analytics) in military workforce planning. As an applied research field, analytics aims to provide actionable insights and practical solutions to questions posed by decision-makers. Since data underlie all analytics, this chapter touches on the challenges of data-related issues such as accessibility, integration, and completeness, highlighting the importance of understanding the data and the context around it. Next, several areas where analytics are used to solve military workforce planning problems are discussed. This will give the reader a sense of the breadth of the domain, as well as the various approaches that can be employed by a practitioner.

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Section: Modeling Force Structures and Training Systemsmentioning

confidence: 99%

Section: Modeling Force Structures and Training Systemsmentioning

confidence: 99%

Military Workforce Analytics

Straver

2021

Handbook of Military Sciences

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“…For further information on the methods’ comparison, readers are referred to Barton et al 2 , Brailsford et al, 3 Hester and Tolk, 4 and Jajo. 5…”

Section: Considerations Of Review Scope and Terminologymentioning

confidence: 99%

Review of simulation models in military workforce planning and management context

Jnitova¹,

Elsawah

Ryan

2017

Journal of Defense Modeling & Simulation

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Simulation models provide useful tools to support decision-making in military workforce planning and management context. This paper presents a literature review of the applications of three most common simulation-based modeling methods in the field of military workforce planning and management: system dynamics, agent-based modeling, and discrete-event simulation. The review consolidates the current state of using these methods in the subject area and also provides a reader with a structured approach to navigation through the subject domain. Findings from this literature review shed light on the research gaps, and potential directions for future research. We present common themes and insights from the review, along with our recommendations for future research. These recommendations are consistent with rigorous research principles and good modeling practices.

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System Dynamics Modeling to Inform Defense Strategic Decision-Making

McLucas

Elsawah

2020

System Dynamics

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The trade-off between DES and SD in modelling military manpower

Cited by 7 publications

References 12 publications

Military Workforce Analytics

Military Workforce Analytics

Review of simulation models in military workforce planning and management context

System Dynamics Modeling to Inform Defense Strategic Decision-Making

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