Military Manpower Planning - Towards Simultaneous Optimization of Statutory and Competence Logics using Population based Approaches

Abdessameud, Oussama Mazari; Utterbeeck, Filip Van; Kerckhoven, Johan Van; Guerry, Marie-Anne

doi:10.5220/0006565201780185

Cited by 5 publications

(2 citation statements)

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“…Every military organization has a very strict hierarchical structure, meaning that this organization is a careeroriented organization applying strict rules in terms of human resource recruitment, including the policy of limiting positions for recruitment at the lowest level (Jaquette DL, Nelson GR, 1977;Wang, 2005;Hall, 2009). In military organizations, the approach to human resource planning (military manpower planning) focuses on two aspects, including long term planning with strategic objectives and short term planning with operational objectives (Abdessameud, Van Utterbeeck, Van Kerckhoven, & Guerry, 2018).…”

Section: Introductionmentioning

confidence: 99%

Determination of the Period of Markov Chain’s Transition Matrix for Military Manpower Planning in Indonesian Navy

Wahyuli

2019

Pertahanan

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<table width="605" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="416"><p> </p><p><strong>Abstract</strong></p><p> </p><div><p class="Els-history-head"> </p></div><p>Human resources are very important organizational assets thus it is only natural that every organization gives more attention to human resource management, including the Indonesian Navy (TNI AL). The approach to human resource planning in military organizations focuses on two aspects, including long term planning with strategic objectives and short term planning with operational objectives. This long term planning is oriented towards the continuation of the procurement, availability, and balance of the number of personnel (human resources) in each rank in the future. An analysis to find out and plan the condition of Navy personnel in the future is needed, which is called the analysis of the Markov chain. There are at least three stages of the Markov chain process, including determining the state, the transition matrix, and the initial vector value. The transition matrix describes changes from one state to another state in the next period of time. The transition matrix formed is the basis of the subsequent analysis, including the calculation of the number of personnel per rank in the future. Determining the length of the matrix period is done by comparing several transition matrices with various moving average orders. The result obtained suggests that the best transition matrix is the one with moving average orders six, including the transition matrix with the smallest value of Mean Square Error (MSE).</p><p> </p><div><p class="Els-keywords">Keywords: Markov Chain, Military Manpower Planning, Transition Matrix, Indonesian Navy</p></div><p> </p></td></tr></tbody></table>

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Section: Introductionmentioning

confidence: 99%

Determination of the Period of Markov Chain’s Transition Matrix for Military Manpower Planning in Indonesian Navy

Wahyuli

2019

Pertahanan

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“…[11] uses a Markov model to approach the statutory logic which is coupled with a network flow to resolve the competence logic problem. Abdessameud et al [12] proposes a simultaneous optimization of the two logics based on a flow network model combined with a goal programming approach to find the optimal way to reach the aimed statutory and competence distributions.…”

Section: Introductionmentioning

confidence: 99%

Military Manpower Planning Using a Career Path Approach Applied to the Belgian Defense

Abdessameud

Utterbeeck

Guerry

2019

Operations Research Proceedings

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In order to accomplish the missions of the organization, military manpower planning aims to provide the required workforce with the adequate competences and ranks. The military organization specificity is the hierarchical structure which restricts personnel movements and recruitments. Military manpower planning involves two logics: statutory logic and competence logic. We combine both logics into one integrated model, which allows the simultaneous optimization of the two logics. We model the military manpower using a career path approach where each soldier is assigned to one of the possible career paths. The model was applied to the Belgian military manpower. The model helps the human resources managers study the impact of different policies on the statutory and the competence levels. Furthermore, the model contributes to planning the future policies regarding job transfers and annual recruitment.

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A risk analytics model for strategic workforce planning: readiness of enlisted military personnel

MacDonald,

Paul

2023

Ann Oper Res

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Military Manpower Planning - Towards Simultaneous Optimization of Statutory and Competence Logics using Population based Approaches

Cited by 5 publications

References 0 publications

Determination of the Period of Markov Chain’s Transition Matrix for Military Manpower Planning in Indonesian Navy

Determination of the Period of Markov Chain’s Transition Matrix for Military Manpower Planning in Indonesian Navy

Military Manpower Planning Using a Career Path Approach Applied to the Belgian Defense

A risk analytics model for strategic workforce planning: readiness of enlisted military personnel

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