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The purpose of this paper is to build a theoretic and practical framework, based on agile project management, to support the decision-making process in order to help companies in optimizing the reengineering production processes and improve management costs.

This paper seeks to propose an agile Reengineering Performance Model (ARPM) for managing projects of reengineering of processes and applies it in a real case study concerning a water bottling plant.

The proposed model should serve as a valuable tool to facilitate a successful business process reengineering design in the project management and intends to assist companies as they operate projects of transferring and optimizing production lines. Thanks to the use of ARPM tools, it is easy to modify the evolution of the project, with the possibility of extending or enhancing the application if necessary.

The main limits of the ARPM model are: it requires close collaboration among team; it is rather intense for developers; and it is necessary flexibility to change course as needed and to ensure delivery of the right product.

The main implications of the authors’ work for research and business are to propose a structured methodological approach, rigorous but simple, suitable to implement in any companies.

The novelty of the approach is to apply the agile approach not for software development but in a manufacturing company.

The paper aims to evaluate reliability allocation using an aerospace system prototype. The proposed approach has been applied and compared with other traditional methods on an aerospace system prototype, where the reliability allocation process is rigorous.

The new approach is based on Integrated factors Method (IFM), whose values are adjusted trough a multicriteria method, the Analytic Hierarchy Process, depending on the importance of each factor and each unit of the system. The result is a dynamic model, that combines the advantages of the allocation method and the multicriteria decision-making technique.

The reasons that led to the development of the IFM based AHP are the outcome of a careful analysis of the current military and commercial approaches. In particular most of analyzed methods use constant weights for the factors involved in the reliability allocation; different weights are rarely assigned to these factors.

There is no limitation for implementation of A-IFM reliability allocation model in very large and complex systems, and it can therefore provide an improved structured arrangement for reliability allocation. Therefore, researchers are encouraged to test the proposed propositions further.

The proposed method offers several benefits compared with current military and commercial approaches.

The computational results clearly demonstrate the effectiveness of the new approach and its ability to overcome the criticalities highlighted in literature.