Due to the fact, that military publications of the Armed Forces of Ukraine (AFU) do not assign a methodology to determine the quantity of water required to meet the needs of a military unit, while doing laundry in field conditions whatever the situation; and taking into account the technical characteristics of modern washing machines installed in Deployable Laundry and Bath Modules (DLBM), the purpose of the article is to develop the required methodology. To achieve this goal, the following methods were applied: the method of analysis of the requirements contained in regulatory documents and technical characteristics of washing machines installed in DLBM and DLM which are integrated into the DLBS; as well as the method of synthesis to provide proposals for the algorithm which is used to determine the main indicators of this methodology. Based on the analysis of normative documents, the conclusion was made that the water consumption, which satisfies the needs of a military unit for wash water to do laundry in field conditions whatever the situation, is not considered. Water consumption is related to two indicators of the average water consumption required to wash 1 kg of dry uniforms and towels, and the actual ability to provide laundry in field conditions during a certain period of military activities. While the theoretical significance of the article lies in the development of the required methodology mentioned above, its practical significance lies in providing recommendations for the application of this methodology during the operational preparation phase as well as the operation itself and under conditions with limited possibility to do laundry. The developed methodology provides the algorithm which can be used to determine the quantity of wash water to satisfy the need of a military unit to do laundry in field conditions. The algorithm considers required water reserves and water consumption. Keywords: consumption, water, stocks, methodology, Deployable Laundry and Bath Modules (DLBM), Deployable Laundry Modules (DLM), personnel, need.
There is a general operation algorithm of officials of mechanized (mechanized infantry, mountain assault) brigades by NATO standards in military publications concerning the military decision-making process of battle (action) planning by these brigades of the Land Forces of the Armed Forces of Ukraine (AFU) without determination of the operation algorithm of the Chief of the Rear - Deputy Chief of logistics. To achieve the goal, it was applied the method of comparative analysis of normative documents' requirements concerning the military decision-making process of combat (action) planning according to NATO standards and the operation algorithm of the Chief of logistics when preparing a combined arms combat brigade of the Land Forces of the AFU for combat (action). In addition, the synthesis method for developing the algorithm of the Chief of the Rear - Deputy Chief of brigade logistics for planning of logistics units’ application (by logistics services) was used. Development of operation algorithm of the Chief of the Rear - Deputy Chief of logistics for planning the use of logistics units (by logistics services) when preparing the combined arms brigade of the Land Forces of the Armed Forces of Ukraine for combat (actions) was based on seven stages of the military decision-making process for planning combat (actions) by NATO standards taking into account the requirements of the Field Manual "Logistics of the Land Forces of the Armed Forces of Ukraine" (tactical level). Theoretical significance of the article consists in the development of the specified algorithm. The practical significance is in the possibility of application of this algorithm in the training of the combined arms brigade of the Land Forces of the Armed Forces of Ukraine for combat (actions), as well as in the educational process of Odesa Military Academy specialists of the rear services. Keywords: algorithm, analysis, combat, options of action, task, approval, obtaining, planning and directive documents, comparison, operation, development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.