In this paper, an alternative multi-attribute decision-making approach for prioritizing failures in failure mode, effects and criticality analysis (FMECA) is presented. The technique is specifically intended to overcome some of the limitations concerning the use of the conventional US MIL-STD-1629A method. The approach is based on a fuzzy version of the 'technique for order preference by similarity to ideal solution' (TOPSIS). The use of fuzzy logic theory allows one to avoid the intrinsic difficulty encountered in assessing 'crisp' values in terms of the three FMECA parameters, namely chance of failure, chance of non-detection, and severity. With the proposed approach, the definition of a knowledge base supported by several qualitative rule bases is no longer required. To solve the fundamental question of ranking the final fuzzy criticality value, a particular method of classification is adopted, allowing a fast and efficient sorting of the final outcome. An application to an important Italian domestic appliance manufacturer and a comparison with conventional FMECA are reported to demonstrate the characteristics of the proposed method. Finally, a sensitivity analysis of the fuzzy judgement weights has confirmed that the proposed approach gives a reasonable and robust final priority ranking of the different causes of failure

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This paper presents a tool for reliability and failure mode analysis based on an advanced version of the popular failure mode, effects and criticality analysis (FMECA) procedure. To help the analyst formulating efficiently effective criticality assessments of the possible causes of failure, the fuzzy logic technique is adopted. Particular attention has been devoted to support the maintenance staff with a fuzzy criticality assessment model easy to implement and design. To test the proposed methodology, an actual application concerning a process plant in milling field for human consumption flour is showed in the paper

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Inventory constraints, costs of lost production, safety and environmental objectives, strategies of maintenance adopted, logistics aspects of spare parts are some of the criteria taken into account, and spare parts classification is thus defined with respect to multiple attributes. In virtue of the large number of the potential operational characteristics to be considered, the decision diagram is integrated with a set of analytic hierarchy process models used to solve the various multi‐attribute decision sub‐problems at the different levels/nodes of the decision tree. An inventory policy matrix is defined to link the different classes of spare parts with the possible inventory management policies so as to identify the “best” control strategy for the spare stocks. The principles of the theory and an actual application in a company operating in the paper industry are reported in the paper.

Purpose – The purpose of this paper is to propose a business process reengineering (BPR) approach to a public administration of Italy, to first assess the efficiency of the administration, then to redesign its internal processes, to improve the current performance. Design/methodology/approach – A detailed mapping of the AS IS processes of the public administration was initially carried out, together with the collection of the relevant data. Then, a simulation model was designed to support the BPR approach. In particular, the model was exploited to assess the performance of the AS IS scenario of the organization, then to investigate numerous TO BE process configurations and evaluate the achievable performance improvements. Findings – From the study, it emerged that the current efficiency level of the public administration examined has potentials to be significantly improved. For instance, by maintaining its current workforce, the public administration could consider the opportunity of providing additional services to the citizens or to serve citizens from the neighbouring municipalities. Otherwise, the organization could consider a reorganization and reduction of its current workforce, at the same time keeping the service level to its citizens almost unchanged. Research limitations/implications – Results of this study cannot be fully generalized, since the whole analysis is grounded on specific public administration. Moreover, although the simulation outcomes of the TO BE processes show interesting improvements compared to the AS IS scenario, the TO BE configurations were not (yet) implemented in practice. Therefore, the results provided should be confirmed in future research activities. Practical implications – The case study allowed deriving some useful guidelines to improve the efficiency of the public administration examined, as well as to identify some TO BE configurations that could be implemented in practice. Originality/value – Scientific literature includes a limited number of studies that evaluate the efficiency of public organizations in real contexts. Moreover, no studies target public administrations in Italy. Therefore, this case study represents an interesting addition to the literature.

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