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Prof. Gianpaolo Di Bona
University of Cassino

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Journal article
Published: 04 July 2021 in International Journal of Environmental Research and Public Health
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Background: The present work starts from a literature review of the evolution of Integrated Management Systems (IMSs), considering different points of view and standards: quality, environmental, occupational health and safety, sustainability and social issues. Even if the benefits are possible, there is not a common approach and a clear link between the integration of management systems and business performance, in particular considering safety performance. Methods: The present study analyzes the application of Risk Assessment in order to realize the integration of management systems. The main objective is to provide a tool for an integrated evaluation of all company performances, starting from the definition of some Key Performance Indicators—KPIs—proposed for a particular case study, even if their choice is not the core of the paper. The assessment team members on the basis of their knowledge, experience and useful literature, could choose the right KPIs for the specific application, able to take a picture of the current state and to suggest a possible recommended action of improving. The proposed Risk Assessment approach is an integration of modern management techniques: Integrated Management System and Improving Cycle DMAIC. Results: The new method, called the Global Performance Index for Integrated Management System—GPI-IMS, has been applied to a real case study in the logistic field in order to evaluate its goodness and possible generalization. Conclusions: The proposed method allows to define the requirements that any company must have to perform the best. The role of the assessment team is very important to evaluate the global performance of the company and to suggest the corrective actions to be adopted.

ACS Style

Alessandro Silvestri; Domenico Falcone; Gianpaolo Di Bona; Antonio Forcina; Marco Gemmiti. Global Performance Index for Integrated Management System: GPI-IMS. International Journal of Environmental Research and Public Health 2021, 18, 7156 .

AMA Style

Alessandro Silvestri, Domenico Falcone, Gianpaolo Di Bona, Antonio Forcina, Marco Gemmiti. Global Performance Index for Integrated Management System: GPI-IMS. International Journal of Environmental Research and Public Health. 2021; 18 (13):7156.

Chicago/Turabian Style

Alessandro Silvestri; Domenico Falcone; Gianpaolo Di Bona; Antonio Forcina; Marco Gemmiti. 2021. "Global Performance Index for Integrated Management System: GPI-IMS." International Journal of Environmental Research and Public Health 18, no. 13: 7156.

Research article
Published: 09 April 2021 in Mathematical Problems in Engineering
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In the years, several approaches for human reliability analysis (HRA) have been developed. The aim of the present research is to propose a hybrid model to evaluate Human Error Probability (HEP). The new approach is based on logit-normal distribution, Nuclear Action Reliability Assessment (NARA), and Performance Shaping Factors (PSFs) relationship. In the research, shortcomings related to literature approaches are analyzed, especially the limitations of the working time. For this reason, PSFs after 8 hours (work standard) during emergency conditions were estimated. Therefore, the correlation between the advantages of these three methodologies allows proposing a HEP analysis during accident scenarios and emergencies; a fundamental issue to ensure the safety and reliability in industrial plants is emergency Mmnagement (EM). Applying EM methodology, two main aspects are analyzed: system reliability and human reliability. System reliability is strongly related to the reliability of its weakest component. During incidental situations, the weakest parts of the whole system are workers (human reliability) and accidental scenarios influence the operator’s ability to make decisions. This article proposes a new approach called Logit Human Reliability (LHR) that considers internal and external factors to estimate human reliability during emergencies. LHR has been applied in a pharmaceutical accident scenario, considering 24 hours of working time (more than 8 working hours). The results highlighted that the LHR method gives output data more in conformity with data banks than the conventional methods during the stress phase in an accident scenario.

ACS Style

Gianpaolo Di Bona; Domenico Falcone; Antonio Forcina; Filippo De Carlo; Luca Silvestri. Quality Checks Logit Human Reliability (LHR): A New Model to Evaluate Human Error Probability (HEP). Mathematical Problems in Engineering 2021, 2021, 1 -12.

AMA Style

Gianpaolo Di Bona, Domenico Falcone, Antonio Forcina, Filippo De Carlo, Luca Silvestri. Quality Checks Logit Human Reliability (LHR): A New Model to Evaluate Human Error Probability (HEP). Mathematical Problems in Engineering. 2021; 2021 ():1-12.

Chicago/Turabian Style

Gianpaolo Di Bona; Domenico Falcone; Antonio Forcina; Filippo De Carlo; Luca Silvestri. 2021. "Quality Checks Logit Human Reliability (LHR): A New Model to Evaluate Human Error Probability (HEP)." Mathematical Problems in Engineering 2021, no. : 1-12.

Journal article
Published: 29 March 2021 in Applied Sciences
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Most industrial trucks are equipped with hydraulic systems designed for specific operations, for which the required power is supplied by the internal combustion engine (ICE). The largest share of the power consumption is required by the hydraulic system during idling operations, and, consequently, the current literature focuses on energy saving strategies for the hydraulic system rather than making the vehicle traction more efficient. This study presents the preliminary realization of an electric-powered hydraulic pump system (e-HPS) that drives the lifting of the dumpster and the garbage compaction in a waste compactor truck, rather than traditional ICE-driven hydraulic pump systems (ICE-HPSs). The different components of the e-HPS are described and the battery pack was modelled using the kinetic battery model. The end-of-life of the battery pack was determined to assess the economic feasibility of the proposed e-HPS for the truck lifespan, using numerical simulations. The aim was twofold: to provide an implementation method to retrofit the e-HPS to a conventional waste compactor truck and to assess its economic feasibility, investigating fuel savings during the use phase and the consequent reduction of CO2 emissions. Results show that the total lifespan cost saving achieved a value of 65,000 €. Furthermore, total CO2 emissions for the e-HPS were about 80% lower than those of the ICE-HPS, highlighting that the e-HPS can provide significant environmental benefits in an urban context.

ACS Style

Michele De Santis; Luca Silvestri; Antonio Forcina; Gianpaolo Di Bona; Anna Di Fazio. Preliminary Realization of an Electric-Powered Hydraulic Pump System for a Waste Compactor Truck and a Techno-Economic Analysis. Applied Sciences 2021, 11, 3033 .

AMA Style

Michele De Santis, Luca Silvestri, Antonio Forcina, Gianpaolo Di Bona, Anna Di Fazio. Preliminary Realization of an Electric-Powered Hydraulic Pump System for a Waste Compactor Truck and a Techno-Economic Analysis. Applied Sciences. 2021; 11 (7):3033.

Chicago/Turabian Style

Michele De Santis; Luca Silvestri; Antonio Forcina; Gianpaolo Di Bona; Anna Di Fazio. 2021. "Preliminary Realization of an Electric-Powered Hydraulic Pump System for a Waste Compactor Truck and a Techno-Economic Analysis." Applied Sciences 11, no. 7: 3033.

Journal article
Published: 20 February 2021 in Procedia Computer Science
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Industry 4.0 is revolutionizing decision-making processes within the manufacturing industry. Maintenance strategies play a crucial role to improve progressively technical performances and economical savings. The introduction of Industry 4.0 technology results in relevant innovations able to condition maintenance policies. Moreover, innovative solutions can be introduced, such as “remote maintenance” and the “self-maintenance”. In this paper, we investigate the state-of-the-art of technologies in a “smart factory” with the aim to understand how Industry 4.0 technologies are affecting maintenance policies and to discuss their implication in strategies. We found important trends in maintenance policies, such as “remote maintenance” and the attractive option of the “autonomous maintenance”. This study represents the first comprehensive investigation in these research themes, and it desires to produce a broader insight and knowledge of current trends and main difficulties, highlighting critical aspects and disadvantages for the implementation of innovative policies.

ACS Style

Gianpaolo Di Bona; Vittorio Cesarotti; Gabriella Arcese; Tommaso Gallo. Implementation of Industry 4.0 technology: New opportunities and challenges for maintenance strategy. Procedia Computer Science 2021, 180, 424 -429.

AMA Style

Gianpaolo Di Bona, Vittorio Cesarotti, Gabriella Arcese, Tommaso Gallo. Implementation of Industry 4.0 technology: New opportunities and challenges for maintenance strategy. Procedia Computer Science. 2021; 180 ():424-429.

Chicago/Turabian Style

Gianpaolo Di Bona; Vittorio Cesarotti; Gabriella Arcese; Tommaso Gallo. 2021. "Implementation of Industry 4.0 technology: New opportunities and challenges for maintenance strategy." Procedia Computer Science 180, no. : 424-429.

Journal article
Published: 06 January 2021 in International Journal of Environmental Research and Public Health
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Geosynthetics are extensively utilized to improve the stability of geotechnical structures and slopes in urban areas. Among all existing geosynthetics, geotextiles are widely used to reinforce unstable slopes due to their capabilities in facilitating reinforcement and drainage. To reduce settlement and increase the bearing capacity and slope stability, the classical use of geotextiles in embankments has been suggested. However, several catastrophic events have been reported, including failures in slopes in the absence of geotextiles. Many researchers have studied the stability of geotextile-reinforced slopes (GRSs) by employing different methods (analytical models, numerical simulation, etc.). The presence of source-to-source uncertainty in the gathered data increases the complexity of evaluating the failure risk in GRSs since the uncertainty varies among them. Consequently, developing a sound methodology is necessary to alleviate the risk complexity. Our study sought to develop an advanced risk-based maintenance (RBM) methodology for prioritizing maintenance operations by addressing fluctuations that accompany event data. For this purpose, a hierarchical Bayesian approach (HBA) was applied to estimate the failure probabilities of GRSs. Using Markov chain Monte Carlo simulations of likelihood function and prior distribution, the HBA can incorporate the aforementioned uncertainties. The proposed method can be exploited by urban designers, asset managers, and policymakers to predict the mean time to failures, thus directly avoiding unnecessary maintenance and safety consequences. To demonstrate the application of the proposed methodology, the performance of nine reinforced slopes was considered. The results indicate that the average failure probability of the system in an hour is 2.8×10−5 during its lifespan, which shows that the proposed evaluation method is more realistic than the traditional methods.

ACS Style

Farshad BahooToroody; Saeed Khalaj; Leonardo Leoni; Filippo De Carlo; Gianpaolo Di Bona; Antonio Forcina. Reliability Estimation of Reinforced Slopes to Prioritize Maintenance Actions. International Journal of Environmental Research and Public Health 2021, 18, 373 .

AMA Style

Farshad BahooToroody, Saeed Khalaj, Leonardo Leoni, Filippo De Carlo, Gianpaolo Di Bona, Antonio Forcina. Reliability Estimation of Reinforced Slopes to Prioritize Maintenance Actions. International Journal of Environmental Research and Public Health. 2021; 18 (2):373.

Chicago/Turabian Style

Farshad BahooToroody; Saeed Khalaj; Leonardo Leoni; Filippo De Carlo; Gianpaolo Di Bona; Antonio Forcina. 2021. "Reliability Estimation of Reinforced Slopes to Prioritize Maintenance Actions." International Journal of Environmental Research and Public Health 18, no. 2: 373.

Journal article
Published: 01 October 2020 in International Journal of Information Systems in the Service Sector
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An effective maintenance plan allows one to minimize failures and to ensure the proper functioning of machines in order to obtain the estimated production system performances. On the other hand, inadequate maintenance can cause faults such as a decrease of production levels, compromising customer satisfaction and resulting in economic losses. In the present research, a new model is proposed to develop a support tool for maintenance design. The new approach is focused to the adequate distribution of maintenance budget to units and machines of a production system. It is based on the main factors determining availability of equipment thanks to appropriate indexes, adjusted through a multi-criteria method, the analytic hierarchy process (AHP). The obtained results can support the budget allocation to maintenance activities, right for machines or units that are strategic to ensure production. The model has been validated through the application to three different industrial plants.

ACS Style

Gianpaolo Di Bona; Domenico Falcone; Antonio Forcina; Alessandro Silvestri; Luca Silvestri. A New Model for Maintenance Strategy Based on Failure Analysis and Multicriteria Approach. International Journal of Information Systems in the Service Sector 2020, 12, 60 -90.

AMA Style

Gianpaolo Di Bona, Domenico Falcone, Antonio Forcina, Alessandro Silvestri, Luca Silvestri. A New Model for Maintenance Strategy Based on Failure Analysis and Multicriteria Approach. International Journal of Information Systems in the Service Sector. 2020; 12 (4):60-90.

Chicago/Turabian Style

Gianpaolo Di Bona; Domenico Falcone; Antonio Forcina; Alessandro Silvestri; Luca Silvestri. 2020. "A New Model for Maintenance Strategy Based on Failure Analysis and Multicriteria Approach." International Journal of Information Systems in the Service Sector 12, no. 4: 60-90.

Journal article
Published: 17 June 2020 in Sustainability
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In the current research, a safety allocation technique named the Critical Risks Method (CRM) has been developed. Starting from a literature review, we analyzed the shortcomings of conventional methods. The outcomes show the primary two criticalities of the most important safety allocation approaches: (1) They are developed for series configuration, but not for parallel ones; (2) they ordinarily give only qualitative outputs, but not quantitative ones. Moreover, by applying the conventional methods, an increase in safety of the units to ensure the safety target leads to an increase of the production costs of the units. The proposed strategy can overcome the shortcomings of traditional techniques with a safety approach useful to series–parallel systems in order to obtain quantitative outputs in terms of failures in a year. The CRM considers six factors that are able to ensure its applicability to a great variety of critical infrastructures. In addition, CRM is described by a simply analytic definition. The CRM was applied to a critical infrastructure (Liquid Nitrogen Cooling Installation) in a nuclear plant designed with series–parallel units. By comparing the CRM outputs with databank safety values, the proposed method was validated.

ACS Style

Gianpaolo Di Bona; Antonio Forcina; Domenico Falcone; Luca Silvestri. Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure. Sustainability 2020, 12, 4949 .

AMA Style

Gianpaolo Di Bona, Antonio Forcina, Domenico Falcone, Luca Silvestri. Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure. Sustainability. 2020; 12 (12):4949.

Chicago/Turabian Style

Gianpaolo Di Bona; Antonio Forcina; Domenico Falcone; Luca Silvestri. 2020. "Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure." Sustainability 12, no. 12: 4949.

Journal article
Published: 06 September 2018 in IFAC-PapersOnLine
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In recent years, the most common need for companies consists in an increasingly efficient business process management and its continuous improvement. Companies are achieving this goal by implementing innovative approaches targeted on the individual project requirements. In this scenario, the present research aims to investigate, through a real pilot project, the benefits of implementing the agile project management (APM) framework based on a multi tools approach in order to re-engineering a business process (BPR). A real case study concerning a manufacturing plant is analyzed, in order to assess and highlight the effectiveness of the proposed model.

ACS Style

D. Falcone; G. Di Bona; A. Silvestri; A. Forcina; G. Belfiore; A. Petrillo. An integrated model for an advanced production process - Agile Re-engineering Project Management. IFAC-PapersOnLine 2018, 51, 1630 -1635.

AMA Style

D. Falcone, G. Di Bona, A. Silvestri, A. Forcina, G. Belfiore, A. Petrillo. An integrated model for an advanced production process - Agile Re-engineering Project Management. IFAC-PapersOnLine. 2018; 51 (11):1630-1635.

Chicago/Turabian Style

D. Falcone; G. Di Bona; A. Silvestri; A. Forcina; G. Belfiore; A. Petrillo. 2018. "An integrated model for an advanced production process - Agile Re-engineering Project Management." IFAC-PapersOnLine 51, no. 11: 1630-1635.

Journal article
Published: 02 February 2018 in Business Process Management Journal
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Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Practical implications 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. Originality/value The novelty of the approach is to apply the agile approach not for software development but in a manufacturing company.

ACS Style

Antonella Petrillo; Gianpaolo Di Bona; Antonio Forcina; Alessandro Silvestri. Building excellence through the Agile Reengineering Performance Model (ARPM). Business Process Management Journal 2018, 24, 128 -157.

AMA Style

Antonella Petrillo, Gianpaolo Di Bona, Antonio Forcina, Alessandro Silvestri. Building excellence through the Agile Reengineering Performance Model (ARPM). Business Process Management Journal. 2018; 24 (1):128-157.

Chicago/Turabian Style

Antonella Petrillo; Gianpaolo Di Bona; Antonio Forcina; Alessandro Silvestri. 2018. "Building excellence through the Agile Reengineering Performance Model (ARPM)." Business Process Management Journal 24, no. 1: 128-157.

Journal article
Published: 01 January 2018 in International Journal of Management and Decision Making
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ACS Style

Domenico Falcone; Antonio Forcina; Gianpaolo Di Bona. Maintenance strategy design in a sintering plant based on a multicriteria approach. International Journal of Management and Decision Making 2018, 17, 1 .

AMA Style

Domenico Falcone, Antonio Forcina, Gianpaolo Di Bona. Maintenance strategy design in a sintering plant based on a multicriteria approach. International Journal of Management and Decision Making. 2018; 17 (1):1.

Chicago/Turabian Style

Domenico Falcone; Antonio Forcina; Gianpaolo Di Bona. 2018. "Maintenance strategy design in a sintering plant based on a multicriteria approach." International Journal of Management and Decision Making 17, no. 1: 1.

Journal article
Published: 01 January 2018 in International Journal of Management and Decision Making
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Maintenance strategy design greatly contributes to ensure the pre-established production capacity of an industrial system and to reduce organisation cost, without compromising customer satisfaction resulting in loss of market share. The focus of the present research is a new model for maintenance policy developed and implemented in a case study. The new approach is focused on the adequate distribution of maintenance budget to system units according to the main factors determining availability and maintenance of equipment. These factors are summarised through appropriate indices, adjusted through a multicriteria method, the analytic hierarchy process (AHP), depending on the importance level of each considered factor and unit of the system. The results can be used as a support for allocation of budgets to maintenance activities, identifying machines or units that are strategic to ensure production. The model has been applied on a real industrial plant.

ACS Style

Gianpaolo Di Bona; Antonio Forcina; Domenico Falcone. Maintenance strategy design in a sintering plant based on a multicriteria approach. International Journal of Management and Decision Making 2018, 17, 29 .

AMA Style

Gianpaolo Di Bona, Antonio Forcina, Domenico Falcone. Maintenance strategy design in a sintering plant based on a multicriteria approach. International Journal of Management and Decision Making. 2018; 17 (1):29.

Chicago/Turabian Style

Gianpaolo Di Bona; Antonio Forcina; Domenico Falcone. 2018. "Maintenance strategy design in a sintering plant based on a multicriteria approach." International Journal of Management and Decision Making 17, no. 1: 29.

Original article
Published: 09 December 2017 in The International Journal of Advanced Manufacturing Technology
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The success of a mission, in general terms of functionality of a complex system, is based on the probability that failure events do not happen during the mission. Therefore, a preliminary reliability analysis and consequently the definition of the reliability target are required. The reliability target of the whole system can be an input or output data of the reliability study; consequently, the reliability values of components are respectively output or input data. If we start from the definition of the target of the system (input data), considering similar ones (if available, especially for innovative ones!), we can allocate the reliability of each component (output data). The choice of the most suitable allocation technique is not a simple task, advantages and disadvantages are discussed in literature. Instead, if we start from the characteristics of the units available (input data), studying the structure (links in series and parallel), it is possible to calculate the reliability target of the whole system. However, these values could be not completely available (innovative systems) or refer to units with not comparable levels in terms of technology, complexity, safety and so on. In the manuscript, a new method is proposed to define the reliability target: Integrated Factors Method 2.0 (IFM 2.0). The purpose will be to combine the advantages of both above approaches. IFM 2.0 is an upgrade of IFM that was developed in 2002 by Falcone et al. The new methodology combines the old IFM method with new maintenance factors. Thanks to IFM 2.0, it is possible to estimate the reliability target of a system in a more confident way: “IFM Target 2.0.” The proposed method has been validated and applied to two complex systems. The obtained results show the effectiveness of the new method and its capability to overcome the problems of other previous methods.

ACS Style

G. Di Bona; D. Falcone; A. Silvestri; A. Forcina. IFM target 2.0: an innovative method to define reliability target for prototype systems. The International Journal of Advanced Manufacturing Technology 2017, 95, 3349 -3367.

AMA Style

G. Di Bona, D. Falcone, A. Silvestri, A. Forcina. IFM target 2.0: an innovative method to define reliability target for prototype systems. The International Journal of Advanced Manufacturing Technology. 2017; 95 (9-12):3349-3367.

Chicago/Turabian Style

G. Di Bona; D. Falcone; A. Silvestri; A. Forcina. 2017. "IFM target 2.0: an innovative method to define reliability target for prototype systems." The International Journal of Advanced Manufacturing Technology 95, no. 9-12: 3349-3367.

Book chapter
Published: 30 September 2017 in Springer Series in Reliability Engineering
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ACS Style

Domenico Falcone; Alessandro Silvestri; Gianpaolo Di Bona; Antonio Forcina. Mathematical Models for Reliability Allocation and Optimization for Complex Systems. Springer Series in Reliability Engineering 2017, 43 -76.

AMA Style

Domenico Falcone, Alessandro Silvestri, Gianpaolo Di Bona, Antonio Forcina. Mathematical Models for Reliability Allocation and Optimization for Complex Systems. Springer Series in Reliability Engineering. 2017; ():43-76.

Chicago/Turabian Style

Domenico Falcone; Alessandro Silvestri; Gianpaolo Di Bona; Antonio Forcina. 2017. "Mathematical Models for Reliability Allocation and Optimization for Complex Systems." Springer Series in Reliability Engineering , no. : 43-76.

Technical article peer reviewed
Published: 19 September 2017 in Journal of Failure Analysis and Prevention
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RAMS is an acronym for reliability, availability, maintainability and safety. These four properties concern the application of important methodologies to design and manage complex systems. In the present research, starting from the analysis of several literature reliability allocation techniques, a reliability allocation method has been implemented called analytic critical flow method (ACFM). Critical flow method is a reliability allocation method for series-parallel configurations, based on failure analysis of each unit of the system. The new approach is based on critical flow method, whose results are matched with the analytic hierarchy process multicriteria method. The result is a dynamic model that combines the advantages of the allocation method and the multicriteria approach. The need to develop the ACFM is the outcome of a careful analysis of the current military and commercial approaches. In particular, no literature method takes into account to assign a different level of significance (weight) to the different units of the system, simultaneously to the considered factors. The proposed approach has been applied and compared with other traditional methods on an aerospace prototype (series-parallel configuration), where the reliability allocation process is rigorous. The results demonstrate the effectiveness of the new approach and its ability to overcome the criticalities highlighted in literature.

ACS Style

Gianpaolo Di Bona; Antonio Forcina. Analytic Critical Flow Method (ACFM): A Reliability Allocation Method Based on Analytic Hierarchy Process. Journal of Failure Analysis and Prevention 2017, 17, 1149 -1163.

AMA Style

Gianpaolo Di Bona, Antonio Forcina. Analytic Critical Flow Method (ACFM): A Reliability Allocation Method Based on Analytic Hierarchy Process. Journal of Failure Analysis and Prevention. 2017; 17 (6):1149-1163.

Chicago/Turabian Style

Gianpaolo Di Bona; Antonio Forcina. 2017. "Analytic Critical Flow Method (ACFM): A Reliability Allocation Method Based on Analytic Hierarchy Process." Journal of Failure Analysis and Prevention 17, no. 6: 1149-1163.

Article
Published: 15 February 2017 in Quality and Reliability Engineering International
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Reliability target definition is a crucial aspect of any reliability analysis. In literature, there are two types of analysis. The first one, called ‘bottom-up’, goes back to the system's target using data of units through a fault tree analysis. Reliability data of components could be only partially available, particularly in the case of innovative systems. In the second type of analysis, called ‘top-down’, starting from similar systems, the target of each unit is defined, by applying allocation techniques. Also, in this case, reliability data of similar systems might not be available, and the choice of the most appropriate technique could be tricky. The purpose of the present research is to combine the advantages of both usual approaches. The newly developed approach is based on the integrated factors method, whose values are adjusted trough a multicriteria method, the analytic hierarchy process, depending on the importance of each factor and each unit. The innovation of the proposed model consists in its dynamism, as most of the literature methods use constant weights for the factors involved in reliability allocation. No method takes into account the assignment of a different level of significance (weight) to different units of the system, simultaneously with the considered factors. The developed approach has been applied on an aerospace prototype system. The results show the goodness of the new method and its ability to overcome the problems noted in literature. Copyright © 2017 John Wiley & Sons, Ltd.

ACS Style

Gianpaolo Di Bona; Alessandro Silvestri; Antonio Forcina; Domenico Falcone. AHP-IFM Target: An Innovative Method to Define Reliability Target in an Aerospace Prototype Based on Analytic Hierarchy Process. Quality and Reliability Engineering International 2017, 33, 1731 -1751.

AMA Style

Gianpaolo Di Bona, Alessandro Silvestri, Antonio Forcina, Domenico Falcone. AHP-IFM Target: An Innovative Method to Define Reliability Target in an Aerospace Prototype Based on Analytic Hierarchy Process. Quality and Reliability Engineering International. 2017; 33 (8):1731-1751.

Chicago/Turabian Style

Gianpaolo Di Bona; Alessandro Silvestri; Antonio Forcina; Domenico Falcone. 2017. "AHP-IFM Target: An Innovative Method to Define Reliability Target in an Aerospace Prototype Based on Analytic Hierarchy Process." Quality and Reliability Engineering International 33, no. 8: 1731-1751.

Journal article
Published: 01 January 2017 in International Journal of Services and Operations Management
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In industrial plants, line balancing problems do not often find an objective solution and production managers often allocate tasks to operators without following a real methodology, but basing on personal experience; therefore, there are many problems when quick changes of capacity or constraints occur. The starting point of this study is the investigation of the main balancing methodologies, understanding their advantages and disadvantages in assigning homogenously tasks to workers. We propose new assembly lines balancing technique simple, general and effective, able to solve some ambiguity in balancing. Thanks to the proposed research, integration and a progress of classic methodologies have been realised. The method proposed, called IBM - integrated balancing method, has been applied to a real case study (the assembly line of a multinational company), in order to show its capacity of supporting production managers in designing and optimising assembly lines (ALBPs).

ACS Style

Cristina Cerbaso; Alessandro Silvestri; Gianpaolo Di Bona; Antonio Forcina; Domenico Falcone. Assembly line balancing, proposal of a new methodology: integrated balancing method. International Journal of Services and Operations Management 2017, 27, 408 .

AMA Style

Cristina Cerbaso, Alessandro Silvestri, Gianpaolo Di Bona, Antonio Forcina, Domenico Falcone. Assembly line balancing, proposal of a new methodology: integrated balancing method. International Journal of Services and Operations Management. 2017; 27 (3):408.

Chicago/Turabian Style

Cristina Cerbaso; Alessandro Silvestri; Gianpaolo Di Bona; Antonio Forcina; Domenico Falcone. 2017. "Assembly line balancing, proposal of a new methodology: integrated balancing method." International Journal of Services and Operations Management 27, no. 3: 408.

Journal article
Published: 01 January 2017 in International Journal of Services and Operations Management
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In the age of competition, no industry can survive without pondering much about reducing expenditures wherever possible. Management of inventories represents one of the most important areas in business, trade and industry. The scheduling of production lots, as well as their sizing, is an area of increasing research attention within the wider field of production planning and scheduling. In the present paper a new mathematical model to find the target stocking level which minimises the total cost of the system while satisfying the service level constraint is presented. Starting from the analysis of inventory management models in literature, a completely original model has been developed and applied to a real case in healthcare sector. The analysis of the results, arising from the case study, allowed to evaluate the effectiveness of the proposed models and to highlight the differences. Nevertheless the proposed model has characteristics of generality that allow the application in other areas.

ACS Style

Fabio De Felice; Antonella Petrillo; Alessandro Silvestri; Gianpaolo Di Bona; Antonio Forcina. An innovative model to optimise inventory management: a case study in healthcare sector. International Journal of Services and Operations Management 2017, 27, 549 .

AMA Style

Fabio De Felice, Antonella Petrillo, Alessandro Silvestri, Gianpaolo Di Bona, Antonio Forcina. An innovative model to optimise inventory management: a case study in healthcare sector. International Journal of Services and Operations Management. 2017; 27 (4):549.

Chicago/Turabian Style

Fabio De Felice; Antonella Petrillo; Alessandro Silvestri; Gianpaolo Di Bona; Antonio Forcina. 2017. "An innovative model to optimise inventory management: a case study in healthcare sector." International Journal of Services and Operations Management 27, no. 4: 549.

Journal article
Published: 01 January 2017 in International Journal of Services and Operations Management
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In industrial plants, line balancing problems do not often find an objective solution and production managers often allocate tasks to operators without following a real methodology, but basing on personal experience; therefore, there are many problems when quick changes of capacity or constraints occur. The starting point of this study is the investigation of the main balancing methodologies, understanding their advantages and disadvantages in assigning homogenously tasks to workers. We propose new assembly lines balancing technique simple, general and effective, able to solve some ambiguity in balancing. Thanks to the proposed research, integration and a progress of classic methodologies have been realised. The method proposed, called IBM - integrated balancing method, has been applied to a real case study (the assembly line of a multinational company), in order to show its capacity of supporting production managers in designing and optimising assembly lines (ALBPs).

ACS Style

Domenico Falcone; Antonio Forcina; Alessandro Silvestri; Gianpaolo Di Bona; Cristina Cerbaso. Assembly line balancing, proposal of a new methodology: integrated balancing method. International Journal of Services and Operations Management 2017, 27, 408 .

AMA Style

Domenico Falcone, Antonio Forcina, Alessandro Silvestri, Gianpaolo Di Bona, Cristina Cerbaso. Assembly line balancing, proposal of a new methodology: integrated balancing method. International Journal of Services and Operations Management. 2017; 27 (3):408.

Chicago/Turabian Style

Domenico Falcone; Antonio Forcina; Alessandro Silvestri; Gianpaolo Di Bona; Cristina Cerbaso. 2017. "Assembly line balancing, proposal of a new methodology: integrated balancing method." International Journal of Services and Operations Management 27, no. 3: 408.

Technical article peer reviewed
Published: 20 October 2016 in Journal of Failure Analysis and Prevention
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The ever-increasing complexity of production systems, together with the need to obtain efficient processes with limited costs, has led companies to develop custom tools for process control and management. Even for risk assessment, the traditional models often are overcome by methods that are best suited to specific needs. In this context, the aim of this paper was to propose a new model, which we call the global safety improve risk assessment (G-SIRA). This model can classify risks and identify corrective actions that allow the best risk reduction at the lowest cost. The proposed model, which is based on improvements to previous research, uses the analytic hierarchy process approach to develop a valid and simple tool for risk management. The G-SIRA method has been tested in a real-world application, i.e., it was applied to all of the processes of a textile company, and the results were compared with those obtained from the classical approach failure mode, effects, and criticality analysis. The comparison clearly showed the effectiveness of the proposed model

ACS Style

Gianpaolo Di Bona; Alessandro Silvestri; Fabio De Felice; Antonio Forcina; Antonella Petrillo. An Analytical Model to Measure the Effectiveness of Safety Management Systems: Global Safety Improve Risk Assessment (G-SIRA) Method. Journal of Failure Analysis and Prevention 2016, 16, 1024 -1037.

AMA Style

Gianpaolo Di Bona, Alessandro Silvestri, Fabio De Felice, Antonio Forcina, Antonella Petrillo. An Analytical Model to Measure the Effectiveness of Safety Management Systems: Global Safety Improve Risk Assessment (G-SIRA) Method. Journal of Failure Analysis and Prevention. 2016; 16 (6):1024-1037.

Chicago/Turabian Style

Gianpaolo Di Bona; Alessandro Silvestri; Fabio De Felice; Antonio Forcina; Antonella Petrillo. 2016. "An Analytical Model to Measure the Effectiveness of Safety Management Systems: Global Safety Improve Risk Assessment (G-SIRA) Method." Journal of Failure Analysis and Prevention 16, no. 6: 1024-1037.

Technical article peer reviewed
Published: 13 October 2016 in Journal of Failure Analysis and Prevention
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The success of a company depends on customer’s satisfaction: quality, price, and service. These three goals depend in particular on R.A.M.S. characteristics: reliability, availability, maintainability, and safety. In the last few years, in order to guarantee high standards of reliability and maintainability, new methodologies and techniques have been developed to estimate the R.A.M.S. targets. In particular, the reliability target represents both the starting and the ending point of R.A.M.S. analysis. The design of the reliability target of a system is a crucial aspect of reliability analysis, as it affects the performance of the system and components. This paper aims to develop a new approach called “IFM Target,” to define the reliability target for complex systems through the integrated factors method, to combine the advantages of usually used approaches, and to overcome some criticalities highlighted in a careful literature analysis. The proposed method has been applied on a sintering system. The results show the effectiveness of the proposed approach.

ACS Style

Gianpaolo Di Bona; Alessandro Silvestri; Antonio Forcina; Antonella Petrillo. Reliability Target Assessment Based on Integrated Factors Method (IFM): A Real Case Study of a Sintering Plant. Journal of Failure Analysis and Prevention 2016, 16, 1038 -1051.

AMA Style

Gianpaolo Di Bona, Alessandro Silvestri, Antonio Forcina, Antonella Petrillo. Reliability Target Assessment Based on Integrated Factors Method (IFM): A Real Case Study of a Sintering Plant. Journal of Failure Analysis and Prevention. 2016; 16 (6):1038-1051.

Chicago/Turabian Style

Gianpaolo Di Bona; Alessandro Silvestri; Antonio Forcina; Antonella Petrillo. 2016. "Reliability Target Assessment Based on Integrated Factors Method (IFM): A Real Case Study of a Sintering Plant." Journal of Failure Analysis and Prevention 16, no. 6: 1038-1051.