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Massimo Tronci - One of the best experts on this subject based on the ideXlab platform.

  • Spare parts inventory control model for the Aeronautical Industry
    Proceedings of the Summer School Francesco Turco, 2014
    Co-Authors: Francesco Costantino, Riccardo Patriarca, Giulio Di Gravio, Massimo Tronci
    Abstract:

    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 of VARI-METRIC, the model considers an original configuration of features combining different skills of maintenance centers in a hierarchical multi-echelon, multi-item, multi-indenture structure. It will be solved by an optimization tool with the aim of identifying which spare parts must be stocked in the warehouse at all times and which ones can instead be ordered only when an actual request is raised, with respect to a cost analysis. The process is based on a real case which evaluates the historic yearly demand and an assessment of the times related to repairing, order and shipment for each item, for each site.

  • multi echelon multi indenture spare parts inventory control subject to system availability and budget constraints
    Reliability Engineering & System Safety, 2013
    Co-Authors: Francesco Costantino, Giulio Di Gravio, Massimo Tronci
    Abstract:

    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.

Francesco Costantino - One of the best experts on this subject based on the ideXlab platform.

  • Spare parts inventory control model for the Aeronautical Industry
    Proceedings of the Summer School Francesco Turco, 2014
    Co-Authors: Francesco Costantino, Riccardo Patriarca, Giulio Di Gravio, Massimo Tronci
    Abstract:

    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 of VARI-METRIC, the model considers an original configuration of features combining different skills of maintenance centers in a hierarchical multi-echelon, multi-item, multi-indenture structure. It will be solved by an optimization tool with the aim of identifying which spare parts must be stocked in the warehouse at all times and which ones can instead be ordered only when an actual request is raised, with respect to a cost analysis. The process is based on a real case which evaluates the historic yearly demand and an assessment of the times related to repairing, order and shipment for each item, for each site.

  • multi echelon multi indenture spare parts inventory control subject to system availability and budget constraints
    Reliability Engineering & System Safety, 2013
    Co-Authors: Francesco Costantino, Giulio Di Gravio, Massimo Tronci
    Abstract:

    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.

Giulio Di Gravio - One of the best experts on this subject based on the ideXlab platform.

  • Spare parts inventory control model for the Aeronautical Industry
    Proceedings of the Summer School Francesco Turco, 2014
    Co-Authors: Francesco Costantino, Riccardo Patriarca, Giulio Di Gravio, Massimo Tronci
    Abstract:

    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 of VARI-METRIC, the model considers an original configuration of features combining different skills of maintenance centers in a hierarchical multi-echelon, multi-item, multi-indenture structure. It will be solved by an optimization tool with the aim of identifying which spare parts must be stocked in the warehouse at all times and which ones can instead be ordered only when an actual request is raised, with respect to a cost analysis. The process is based on a real case which evaluates the historic yearly demand and an assessment of the times related to repairing, order and shipment for each item, for each site.

  • multi echelon multi indenture spare parts inventory control subject to system availability and budget constraints
    Reliability Engineering & System Safety, 2013
    Co-Authors: Francesco Costantino, Giulio Di Gravio, Massimo Tronci
    Abstract:

    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.

Malin Akermo - One of the best experts on this subject based on the ideXlab platform.

M.g.v. Ferreira - One of the best experts on this subject based on the ideXlab platform.

  • safety critical software effort estimation using cocomo ii a case study in Aeronautical Industry
    IEEE Latin America Transactions, 2018
    Co-Authors: L.p.d. Santos, M.g.v. Ferreira
    Abstract:

    This paper provides a case study of a real Aeronautical safety-critical software development project under the DO-178C process, where the COCOMO II method was applied as an estimation technique for the required software development effort. The main goal and contribution of the case study is to support the research on software effort estimation and provide software practitioners with useful data based on a real project. We collected the actual required effort for the project and then compared to the estimated values. The rationales for each scale factor and effort multiplier selection were also described in details. We found a Magnitude of Relative Error (MRE) of 31% and provided alternatives for future work in order to increase the effort estimation accuracy in safety critical software projects.

  • Safety Critical Software Effort Estimation using COCOMO II: A Case Study in Aeronautical Industry
    IEEE Latin America Transactions, 2018
    Co-Authors: L.p.d. Santos, M.g.v. Ferreira
    Abstract:

    This paper provides a case study of a real Aeronautical safety-critical software development project under the DO-178C processes, where the COCOMO II method was applied as an estimation technique for the required software development effort. The main goal and contribution of the case study is to support the research on software effort estimation and provide software practitioners with useful data based on a real project. We collected the actual required effort for the project and then compared to the estimated values. The rationales for each scale factor and effort multiplier selection were also described in details. We found a Magnitude of Relative Error (MRE) of 31% and provided alternatives for future work in order to increase the effort estimation accuracy in safety critical software projects.