Optimizing Spares Support: The Aircraft Sustainability Model (original) (raw)
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Development of Availability and Sustainability Spares Optimization Models for Aircraft Reparables
2013
The Republic of Singapore Air Force (RSAF) conducts Logistics Support Analysis (LSA) studies in various engineering and logistics efforts on the myriad of air defense weapon systems. In these studies, inventory spares provisioning, availability and sustainability analyses are key focus areas to ensure asset sustenance. In particular, OPUS10, a commercial-off-the-shelf software, is extensively used to conduct reparable spares optimization in acquisition programs. However, it is limited in its ability to conduct availability and sustainability analyses of time-varying operational demands, which are crucial in Operations & Support (O&S) and contingency planning. As the RSAF seeks expansion in its force structure to include more sophisticated weapon systems, the operating environment will become more complex. Agile and responsive logistics solutions are needed to ensure the RSAF engineering community stays abreast and consistently push for deepening competencies, particularly in LSA capabilities. This research is aimed at the development of a model solution that combines spares optimization and sustainability capabilities to meet the dynamic requirements in O&S and contingency operations planning. In particular, a unique dynamic operational profile conversion model was developed to realize these capabilities in the combined solution. It is envisaged that the research effort would afford the ease of use, versatility, speed and accuracy required in LSA studies, in order to provide the necessary edge in inventory reparable spares modeling. v Dedication This thesis is dedicated to my Wife and soon to be born Son for their patience and understanding throughout my time at the Air Force Institute of Technology. vi Acknowledgments My most sincere thanks go to my family for their patience and understanding throughout my AFIT experience, but especially for the many endless hours I spent developing this research. Also, I would like to express my gratitude to Dr. Alan Johnson for his valuable guidance, complete trust and autonomy shown to me, without whom I could not have imagined putting this research together in a short span of time. Likewise, I would like to acknowledge my thesis reader, LtCol. (Dr.) Joseph Huscroft, for his frequent and pertinent advice throughout my research and coursework in AFIT. In addition, I wish to acknowledge the friendship and hard work of my fellow logistics management students, who have made my journey this one year all the more meaningful. Finally, I would like to thank my colleagues in both Air Engineering and Logistics Department and Defence Science & Technology Agency who provided the valuable support which I so crucially required in the course of this research.
Spare parts inventory control model for the aeronautical industry
2015
Inventory management of spare parts is one of the most critical issues in the aeronautical industry, given the required level of system availability related to the strategic importance and high stocking costs of the components. A failure of any item on an aircraft could determine its unavailability, so spare parts are in stock in order to reduce the unavailability period and provide a prompt substitution. Therefore the allocation of spare parts is subjected to budget constraints and to a target level of availability. Even if a large number of spare parts increases warehousing costs, every single shortage have a greater impact: the adoption of best-in-class inventory management techniques becomes crucial. On these considerations, the paper presents an innovative model of spare parts allocation developed for an Italian airline with the aim of minimizing back orders and, at the same time, ensuring an availability of 99% depending on the actual flight plan. Starting from the assumptions...
An Integrated Logistics Model Of Spare Parts Maintenance Planning Within The Aviation Industry
2012
Avoidable unscheduled maintenance events and unnecessary spare parts deliveries are mostly caused by an incorrect choice of the underlying maintenance strategy. For a faster and more efficient supply of spare parts for aircrafts of an airline we examine options for improving the underlying logistics network integrated in an existing aviation industry network. This paper presents a dynamic prediction model as decision support for maintenance method selection considering requirements of an entire flight network. The objective is to guarantee a high supply of spare parts by an optimal interaction of various network levels and thus to reduce unscheduled maintenance events and minimize total costs. By using a prognostics-based preventive maintenance strategy unscheduled component failures are avoided for an increase in availability and reliability of the entire system. The model is intended for use in an aviation company that utilizes a structured planning process based on collected fail...
Part-out-based spares provisioning management
Journal of Quality in Maintenance Engineering, 2014
Purpose-The purpose of this paper is to present the prerequisites for a part-out-based spares provisioning (PBSP) programme during the phase-out of an aircraft fleet. Furthermore, associated key decision criteria are identified and a framework for the phase-out management process is presented. Design/methodology/approach-Once a decision has been taken to phase-out an aircraft fleet, a number of routines for operations, maintenance and storage are affected and new tasks and functions must be introduced before initiating the actual parting-out process. A decision-making system and a management framework is needed to manage spares planning during the end-of-life phase to ensure availability at minimum cost and to ensure a manageable risk of backorders. Findings-For PBSP programme during the phase-out of an aircraft fleet to succeed and be cost-effective, a number of linked processes, tasks and decisions are required, e.g., those included in the framework proposed in this paper (see Figure 3). A successful implementation of PBSP also requires that these processes and tasks are carried out in a timely manner and that the communications between the concerned parties are prompt, clear and direct. One experience from the studied case is that close and trustful contacts and cooperation between the operator and maintenance provider(s) will greatly facilitate the process. Originality/value-Although the PBSP method is fairly commonly applied within both the military and the civilian sector, somewhat surprisingly very literature has been published on the subject. Indeed, remarkably little has been published on any aspects of maintenance during the end-of-life period.
Reliability Engineering & System Safety, 2013
Inventory management of spare parts is one of the most critical issues in the aeronautical industry, given the required level of system availability related to the strategic importance and high stocking costs of the components. Even if a large number of spare parts increases warehousing costs, every single shortage have a greater impact: the adoption of best-in-class inventory management techniques becomes crucial. On these considerations, the paper presents an innovative model of spare parts allocation for the Italian Air Force with the aim of minimizing backorders and, at the same time, ensuring an availability of 99% depending on the actual flight plan. The model, solved by a marginal analysis, considers an original configuration of features combining different skills of maintenance centers in a hierarchical multi-echelon, multi-item, multi-indenture structure. A real case is provided in order to analyze the solving method and the results.
Operational Environment Based Assessment of Spare Parts for Army Equipment
Selective Maintenance is an effective maintenance strategy that can produce excellent results for army tanks that get small maintenance breaks during missions. However, in order to reduce time for analysis, the criticality of spare parts must be considered. The analysis must also consider the environmental and usage effects while setting target desired reliability. This paper proposes methodologies for classification of spare parts and target reliability allocations in different environmental and usage conditions.
ATLAST deployment & push pack spares optimization module
Annual Reliability and Maintainability Symposium, 2005. Proceedings.
ATLAST (Aircraft Total Life-Cycle Assessment Software Tool) was developed to support life-cycle logistics impact forecasting for new and aging weapon-system fleets. ATLAST emulates airframe operations, using tail numbers and operation profiles, to predict unscheduled and scheduled removal events according to location and age of components over time. It then administers a capacity-constrained maintenance and logistic support process that return assets back to serviceable conditions. The latest version of ATLAST consists of a "Deployment & Push Pack Spares" optimization module. The module utilizes a hybrid analytical-simulation optimization approach to rank spare parts by their effectiveness in increasing availability. Decision makers can use ATLAST to determine the optimal level of spares for the deployment of aircraft at a specific location. Detailed mathematical formulation and three numerical examples are presented in this paper.
Routine Aircraft Airframe Spare Parts Inventory Analysis Used on Planned Maintenance at PT XYZ
Proceedings of the Business Innovation and Engineering Conference 2020 (BIEC 2020), 2021
Managing aircraft spare parts has been troublesome since there is demand uncertainty. Maintenance cost has been a concern nowadays especially spare parts cost. The objective of this research is to study costs generated by spare parts procurement using new inventory model compared with existing inventory model. To present this inventory analysis, a case study based on a maintenance, repair and overhaul (MRO) company in Indonesia is discussed. In this research, two methods are used, i.e. Syntetos-Boylan Approximation (SBA) and Single Exponential Smoothing (SES) to predict the planned maintenance forecasting. Furthermore, after forecasting has been done, inventory analysis is needed to determine inventory model to be implemented. According to inventory model, fixed order quantity is used to account for costs generated in procurement activity. Since the forecasting methods are new in PT XYZ, this gave different result compared to existing method. Suitable forecasting method is used on each SKU as the demand characteristics are different. The result of this research shows that the new inventory model using SBA and SES method are more accurate, and gave cost reduction 2.4% of total annual procurement cost compared to existing inventory model. It can be said that the method can be applied to improve inventory cost reduction to face challenges in aviation industry. The weakness of this research is only conducted in several spare part SKUs with specific demand characteristics. To prove that the method can be generally accepted, the number of SKU samples needs to be increased.