Journal articles: 'Cmms software'

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Braglia, Marcello, Gionata Carmignani, Marco Frosolini, and Andrea Grassi. "AHP‐based evaluation of CMMS software." Journal of Manufacturing Technology Management 17, no. 5 (July 2006): 585–602. http://dx.doi.org/10.1108/17410380610668531.

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Abu Bakar, Zulazhan, and Syahrul Nizam Kamaruzzaman. "FACILITY MANAGER’S ACCEPTANCE OF CMMS IN MALAYSIA: AN EXPLORATORY STUDY USING PLS-SEM APPROACH." Journal of Surveying, Construction & Property 14, no. 1 (June 28, 2023): 83–93. http://dx.doi.org/10.22452/jscp.vol14no1.7.

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Computerised Maintenance Management System (CMMS) is a widely recognised software in Facilities Management (FM) that provides numerous advantages to facility managers by enhancing productivity at work. The objective of this research is to provide insight and assess the factors influencing the acceptance of CMMS among facility managers in Malaysia. As a result, an improved comprehension of CMMS technology acceptance can be formed, as well as a better understanding of other FM technology adoption. Multiple factors influence CMMS acceptance, and this study used a quantitative technique to verify the hypothesis, using the Technology Acceptance Model (TAM) in conjunction with a Partial Least Square-Structural Equation Model (PLS-SEM). In addition, 125 facility managers completed an online survey that was utilised to collect primary data. The quantitative and structural models were analysed using PLS-SEM. Based on the study's findings, perceived usefulness (PU) and perceived ease of use (PEOU) have a favourable impact on behavioural intention (BI), which influences actual usage (AU) of CMMS. The research aims to improve awareness of the degree of acceptance of CMMS among facility managers and to contribute to FM organisations' better understanding of future technology adoptions.

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Amorim, ES, EGM Silva, and AC Lordsleem JR. "Current Overview of CMMS Operationality: Brazilian Scenario." International Journal of Business Administration 14, no. 4 (January 16, 2024): 66. http://dx.doi.org/10.5430/ijba.v14n4p66.

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Currently, the impacts of Industry 4.0 are observed in the construction industry, commonly referred to as Construction 4.0, emerging linked to technological innovations. Construction 4.0 presents a standardized model for smart cities and buildings, with the existence of some important points being essential, such as the capacity for adaptation, improvement and efficiency of resources and connections for everyone involved. As a result, new technologies and applications have been emerging that directly impact building maintenance activities, enabling increased efficiency and productivity in this sector, which reduces the risk of errors, failures and defects by maintenance managers. One of these applications is the use of computerized maintenance management systems (CMMS), which is a software solution designed to simplify building maintenance processes, in addition to improving the management of organizations' assets. In this sense, the present work aims to evaluate the CMMS available in the Brazilian scenario, showing the current panorama in which this technology has been presented to the market. To this end, we carried out a survey of the CMMS used by Brazilian maintenance companies using the snowball method to list the CMMS to be analyzed. The research carried out in 16 maintenance companies identified 9 CMMS, which were evaluated using the method proposed by Roscoff; Costella; Pilz (2020), which evaluates CMMS functionalities and activities. As a result, the sample analyzed presents heterogeneity in the results linked to CMMS functionalities and activities. In short, the registration items, a basic function, were met by all CMMS analyzed. However, advanced functions that are linked to the principles of Industry 4.0, such as interoperability, virtualization, real-time and service orientation, present disparities in results. Because among the nine CMMS evaluated, only three reached the levels proposed in the methodology.

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Alemayehu, Gadisa, Muralidhar Avvari, Bikila Alemu, and Atkilt Mulu Gebrekidan. "Performance Evaluation of Faffa Food Share Company through Computerized Maintenance Management System (CMMS)." Journal of Engineering 2023 (July 14, 2023): 1–13. http://dx.doi.org/10.1155/2023/4856457.

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Since 1962 EC, the Faffa Food Share Company has been producing and supplying flour in Ethiopia both for relief and commercial markets. However, it is incompetent in the market due to a poor maintenance management system. So, the aim of this research is to overcome the poor maintenance management problems by using the CMMS application. The data collected from the company by survey studies, unstructured interviews, and stopwatches and from company records revealed that frequent failure machines, as well as a poor maintenance management system, cause production downtimes, resulting in a 29.19% decrease in production from the planned production. The collected data are analyzed by, tools such as time and motion study, SPSS software and CMMS effectively. The finding from the outcome of the bivariate correlation of CMMS elements and manufacturing performance dimension has an alpha α value of greater than 0.5, which indicates that the relationships between CMMS and manufacturing performance are positive. The findings from company records and stopwatch equipment and manpower (technicians) should be managed to activate machine servicing. Finally, the proposed smart maintenance management system tool, CMMS improves the availability of machines, reduces the frequency of equipment failure, reduces the breakdown time, decreases the cost of maintenance, and then improves the manufacturing performance by 5 percent.

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Ardila Marín, Maria Isabel, William Orozco Murillo, Oscar Julian Galeano Echeverri, and Andrés Mauricio Medina Escobar. "Desarrollo de software para la gestión del mantenimiento en los laboratorios de la I.U. Pascual Bravo." Revista CINTEX 23, no. 1 (October 19, 2018): 43–50. http://dx.doi.org/10.33131/24222208.307.

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La importancia de las acciones de mantenimiento en el sector de bienes y servicios para garantizar la disponibilidad y confiabilidad necesaria en los activos, ha generado la necesidad de tener herramientas que mejoren la administración de los departamentos de mantenimiento; es por esto que los Sistemas Computarizados para la Gestión del Mantenimiento (CMMS) aparecen para contribuir con la planeación, ejecución y control de las actividades en tales departamentos, haciendo que los datos obtenidos se conviertan en información relevante para la toma de decisiones para mejoramiento continuo. Para la I.U. Pascual Bravo, institución de educación superior con laboratorios para la prestación de servicios educativos y productivos, es fundamental trabajar en la conservación y seguridad de sus activos a través de la gestión del mantenimiento; por esto, se genera la necesidad de desarrollar un CMMS adaptado a las características de los activos de los diferentes laboratorios de la Facultad de Ingeniería, para centralizar la información de mantenimiento. En el presente artículo se revisa la evolución y desarrollo de los CMMS y se describe el diseño y la funcionalidad de SIMA, Sistema de Información de Mantenimiento, aplicación para centralizar la gestión del mantenimiento de los equipos de los laboratorios de la Facultad de Ingeniería. Con este módulo se pretende contribuir con la creación de cultura de mantenimiento, apoyando el correcto registro de la información para optimizar tanto las actividades y los recursos disponibles.

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Beldjoudi, Samia. "Improving Existing CMMS Software Packages Using Association Rules." Revue d'Intelligence Artificielle 37, no. 1 (February 28, 2023): 223–30. http://dx.doi.org/10.18280/ria.370128.

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Gerasimov, Dmitry, and Arthur Gartvig. "Parallel computing of metal forming simulation in QForm software." Computer Methods in Material Science 16, no. 3 (2016): 139–42. http://dx.doi.org/10.7494/cmms.2016.3.0582.

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In this study, the principle of parallelization of data and tasks implemented in QForm software is described. The dependence of the number of simultaneously working logical processors or cores of a multi-core CPU on the solving time of metal forming simulation is investigated.

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Majstorovic, Vidosav D., Slavenko M. Stojadinovic, and Tatjana V. Sibalija. "Development of a knowledge base for the planning of prismatic parts inspection on CMM." ACTA IMEKO 4, no. 2 (June 29, 2015): 10. http://dx.doi.org/10.21014/acta_imeko.v4i2.205.

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Inspection on coordinate measuring machines (CMMs) is based on software support for various classes of metrological tasks, i.e. tolerances. Today, the design of a uniform inspection plan for a measuring part presents a rather complex issue due to the following: (i) metrological complexity of a measuring part; (ii) skills and knowledge of a designer / inspection planner; and (iii) software for CAI model, considered as a part of an integrated CAD-CAPP-CAM-CAI system. This issue could be addressed by the usage of expert systems that generate a conceptual inspection plan for a measuring part, based on which the inspection plan for a selected CMM could be automatically developed. This paper presents the development of a model of an automatic inspection planning system for CMMs, and, in particular, the developed knowledge base model.

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Vo, Tran Anh, T. H. Dung, and Hyun Chul Kim. "Design of a High Accuracy 3-Axis Coordinate Measuring Machine Working on the Shop Floor." Advanced Materials Research 1125 (October 2015): 521–25. http://dx.doi.org/10.4028/www.scientific.net/amr.1125.521.

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One of the key features of advanced manufacturing technologies is the metrology of geometric quantities. Coordinate measuring machines (CMMs) now are widely used to perform relevant measurements. Normally, the use of CMMs in traditional quality control rooms, isolated from the production floor, often proves unsuitable for effective and timely feedback on the manufacturing process. However, CMMs are sensitive to environmental factors such as humidity, suspended dust and oil, vibrations, and especially temperature. For this reason, measuring machines must to be designed with features that make them more resistant to the environmental influences on shop floor operations. The main goal of this work is to enhance accuracy of a CMM working on the shop floor conditions by design improvements and error compensation. A 3-axis CMM will be built with some improved designed features and a software compensation technique will be applied to enhance the machine accuracy.

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Rodrigues, Rui Calejo, Hipólito Sousa, and Ivo Almino Gondim. "SMARTS-Based Decision Support Model for CMMS Selection in Integrated Building Maintenance Management." Buildings 13, no. 10 (October 5, 2023): 2521. http://dx.doi.org/10.3390/buildings13102521.

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An Integrated Maintenance System (IMS) represents a coordinated methodology including different maintenance policies, such as preventive and corrective. These systems rely on Computerized Maintenance Management Systems (CMMSs), specialized software available from multiple suppliers. Given the diverse features of commercial CMMS software, this work aims to develop a decision support model for CMMS evaluation emphasizing an integrated perspective within IMS. A Simple Multi-Attribute Rating Technique using Swings (SMARTS) method was used to build the decision model. Five existing market software were evaluated, and a minimum profile was defined for IMS requirements. Three of the assessed software types met these minimum IMS requirements, while the absence of certain features limited scores for others. The results obtained from the decision support model provide a simple and synthetic way to support decision-makers and promote a systemic view of the software features. The evaluation model has the advantage of adopting criteria that integrate software evaluation; its framing in a building maintenance management model; and new technological trends, such as Building information modeling (BIM), Virtual Reality (VR), Augmented Reality (AR), and Internet of Things (IoT). Considering these outcomes, future developments and alternatives can capitalize on these trends.

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Krolczyk, Jolanta B., Stanisław Legutko, and Dawid Wojtecki. "Implementation and Benefits of Introducing a Computerised Maintenance Management System into a Manufacturing Company." Applied Mechanics and Materials 809-810 (November 2015): 1354–59. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1354.

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Maintenance service is the necessary organizational structure in the modern manufacturing company. Everyday maintenance services operation would be greatly impeded without a computerised maintenance management systems (CMMS) software. CMMS allows to manage company’s equipment, planning inspections and maintenance and management supervision procedures and service documentation. The aim of this study is to present the analysis of the manufacturing company in the maintenance department, the main objectives of the company related to the maintenance, a pre-implementation analysis (objectives, assumptions, hard results, ABC analysis), and proposals to choose computerised maintenance management systems, which will allow to reduce failures, downtime and maintenance costs.

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Sukmana, Farid, and Fahrur Rozi. "EFFICIENCY OF CMMS (COMPUTERIZED MAINTENANCE MANAGEMENT SYSTEM) PROJECT STAGES WITH K-MEANS." JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 9, no. 1 (March 1, 2024): 424–37. http://dx.doi.org/10.29100/jipi.v9i1.5453.

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This study scrutinized four CMMS (Computerized Maintenance Management System) development projects using the K-Means clustering method to evaluate stages that require improvement by the GrX team. The projects under consideration were named Tim, Lix, Akb, and Mnk. The results indicated that the Tim project leaned more towards efficient CMMS development stages, while the Lix and Akb projects were predominantly in less efficient clusters at the implementation stages. The Mnk project had stages in less efficient clusters located at stages other than implementation processes. This suggests that each project has its unique challenges in achieving efficiency. However, the overarching conclusion is that the GRX team needs to enhance efficiency in the CMMS software development process. Several stages need to be evaluated, particularly the “data analysis and coordination” and “implementation of asset, work order, preventive and spare part modules” stages. Inefficiency occurs when the designing work time has a value lower than twice the workload. The K-Means algorithm was employed in the clustering process because it was believed that the data to be grouped was well-suited for implementation with this algorithm. The variables involved in this study were time and workload. This research provides valuable insights into the efficiency of CMMS development projects and offers a roadmap for future improvements.

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Thai, Ha Thi Thu, and Thanh Hong Pham. "INFLUENCE OF ACCELERATION ON THE CMMS ACCURACY IN FAST MEASURING." Science and Technology Development Journal 15, no. 1 (March 30, 2012): 60–68. http://dx.doi.org/10.32508/stdj.v15i1.1775.

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This paper presents a theoretic and practical approach to confirm the dynamic errors induced by acceleration on CMMs during fast measuring. To simplify, a physical model, a mathematical model of the bridge component and the prismatic joint that move along X axis of a bridge CMM are presented. The research points out that there is sure to be the dynamic errors when there is acceleration. This has been demonstrated by the simulation of the errors on the tip probe by Matlab sofware and the experimental results are obtained. The dynamic errors will decrease the accuracy of CMMs so it is necessary to make out a compensation software to keep up the the accuracy of the measuring results.

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El Khatib, Mounir, Tariq Al Nasser, and Marwa Al Awadi. "Program Governance Maturity Models." International Journal of Theory of Organization and Practice (IJTOP) 3, no. 2 (January 11, 2024): 177–96. http://dx.doi.org/10.54489/ijtop.v3i2.314.

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The Program Governance Maturity Model is a comprehensive pattern framework that implements a plan and structure for achieving goals and distinction in program governance. It is capable of considering tactical and strategic values and contains recommendations in the form of practices, the execution of which enables the realization of the objects necessary for the progress of certain areas. The CMMS/CMMI models contain essential processes that support different facets of operations and can guide developing and improving production methods. It is divided into five levels which are the same for absolutely all industries. Surveys have demonstrated the ability to manage multiple projects through the program. In addition, the use of the software improves productivity and helps achieve organizational goals and objectives. Therefore, it is essential to mention that program management is an integral part of management practice. Although, in fact, the answers to the question also state that there are problems when applying the software, but its impact on managers' work can be assessed positively.

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NIKITCHENKO, SERGEI L. "Management of agricultural machinery maintenance under the automation and digitalization of production." Agricultural Engineering, no. 4 (2023): 33–42. http://dx.doi.org/10.26897/2687-1149-2023-4-33-42.

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When organizing maintenance activities for domestic agricultural machinery, paper workflow continues to dominate, which negatively affects the performance indicators and the level of operational reliability of machines. The engineering services of domestic agricultural enterprises remain beyond automation and digitalization in matters of managing the technical service of machines. The low adaptation of existing software products to the specifics of domestic agricultural production prevents the adoption of automated CMMS and EAM systems used in other sectors to manage the reliability of equipment in operation. The authors developed software with a set of functions similar to the functionality of well-known CMMS systems. The software includes Agrokompleks ASUTO in combination with the previously developed Agrokompleks Resursy warehouse management software and Agrokompleks MTP fuel management software. The automated system data model is adapted to the needs of engineering workers responsible for the performance of agricultural machinery. A practical test of the system was carried out at an agricultural enterprise with a fleet of 25 tractors. The results obtained confirm the hypothesis that the automation of engineering activities contributes to an increase in the operational reliability of agricultural machinery and a decrease in the labor intensity of managing service processes. The use of the automated system resulted in a decrease in the time spent on maintenance management by 35 to 38%, the probability of tractors having operational failure - by 26%. At the same time, the probability of tractors being in working condition increased by 1.8%. The research could be useful for the developers of EAM systems for the maintenance and repair management of agricultural machinery.

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McLean, Thomas J., and David H. Xu. "Study on sampling techniques with CMMs." Reliable Computing 1, no. 3 (September 1995): 275–84. http://dx.doi.org/10.1007/bf02385258.

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Farooqui, Sami A., and Edward P. Morse. "Methods and Artifacts for Comparison of Scanning CMM Performance." Journal of Computing and Information Science in Engineering 7, no. 1 (January 22, 2007): 72–80. http://dx.doi.org/10.1115/1.2709928.

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Coordinate measuring machines (CMMs) with continuous-contact scanning capabilities are experiencing more and more use in a wide variety of discrete-part manufacturing industries. Many users of these CMMs, if asked, will say that their metrology requirements include high density scans at high speeds with high accuracy. These requirements are in conflict, as there will be some point at which the accuracy of the scanned data begins to decrease with an increase in the scanning speed. This paper addresses the effects of scanning speed on the performance of different CMMs using contact sensors. The use of a family of artifacts is proposed in order to evaluate the relative scanning performance as a function of scanning speed and the direction of the scan within the CMM volume. The artifacts that are developed for these tests have a sinusoidal waveform superimposed on a flat surface. This paper describes a series of experiments that utilize these artifacts and assess the ability of these tests to capture how a scanning CMM will perform when measuring actual parts.

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Jamkhaneh, Hadi Balouei, Reza Shahin, Arash Shahin, and Mohammad ArabYarmohammadi. "CMMS software quality function deployment based on maintenance objectives: a framework for software selection process." International Journal of Productivity and Quality Management 32, no. 4 (2021): 413. http://dx.doi.org/10.1504/ijpqm.2021.114260.

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Mohammadi, Mohammad Arab Yar, Arash Shahin, Reza Shahin, and Hadi Balouei Jamkhaneh. "CMMS Software quality function deployment Based on Maintenance Objectives: A Framework for Software Selection Process." International Journal of Productivity and Quality Management 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijpqm.2020.10029426.

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Robatto Simard, Simon, Michel Gamache, and Philippe Doyon-Poulin. "Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines." Mining 3, no. 1 (January 1, 2023): 26–53. http://dx.doi.org/10.3390/mining3010002.

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Preventive maintenance practices have been proven to reduce maintenance costs in many industries. In the mining industry, preventive maintenance is the main form of maintenance, especially for mobile equipment. With the increase of sensor data and the installation of wireless infrastructure within underground mines, predictive maintenance practices are beginning to be applied to the mining equipment maintenance process. However, for the transition from preventive to predictive maintenance to succeed, researchers must first understand the maintenance process implemented in mines. In this paper, we conducted interviews with 15 maintenance experts from 7 mining sites (6 gold, 1 diamond) across East-Canada to investigate the maintenance planning process currently implemented in Canadian mines. We documented experts’ feedback on the process, their expectations regarding the introduction of predictive maintenance in mining, and the usability of existing computerized maintenance management software (CMMS). From our results, we compiled a summary of actual maintenance practices and showed how they differ from theoretical practices. Finally, we list the Key Performance Indicators (KPIs) relevant for maintenance planning and user requirements to improve the usability of CMMS.

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Korpała, Grzegorz. "Data management in CUDA Programming for High Bandwidth Memory in GPU Accelerators." Computer Methods in Material Science 16, no. 3 (2016): 121–26. http://dx.doi.org/10.7494/cmms.2016.3.0580.

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The number of applications that use GPU accelerated calculations always grows. The software conversion to such calculation type is although complex but gives enormous energy efficiency and performance. In the publication is presented a method of the data sets, in which a temporary storage is occurred in the shared memory of GPU. The loading of values to shared memory via massive data access makes it possible to exploit the full power of the High Bandwidth Memory. It is demonstrated by CUDA codes for Cellular Automaton application and corresponding indexing of the data in global and shared memory. The real and the theoretical Speed-Up are described and shown in this publication.

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Beaman, Jonathan, and Edward Morse. "Experimental evaluation of software estimates of task specific measurement uncertainty for CMMs." Precision Engineering 34, no. 1 (January 2010): 28–33. http://dx.doi.org/10.1016/j.precisioneng.2009.08.006.

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Bajda, Szymon, Michal Krzyzanowski, Marcin Kwiecień, Janusz Majta, Łukasz Lisiecki, and Jakub Sroka. "Towards processing of multilayered metallic materials – constrained compression testing." Computer Methods in Material Science 16, no. 2 (2016): 76–86. http://dx.doi.org/10.7494/cmms.2016.2.0563.

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The complex analysis of the interface behaviour has been performed during constrained compression testing of 316L steel plates as a way towards processing of the multilayered metallic materials. The approach is based on a combination of experiments under appropriate operating conditions and computer modelling based on finite element (FE) methodology for interpretation of the test results. Multilayered metallic structure was successfully obtained using the applied constrained compression testing technique. The specially designed die and compression specimens allowed for joining of the steel plates together even at room temperatures. The performed numerical analysis using the ABAQUS/Standard FE software revealed the strain and stress localisation areas within the multilayered structure among other features that are described in the paper. The results are in agreement with experimental observations.

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Krishnamurthy, Bhaskaran, Olga Bylya, Lisa Muir, Alastair Conway, and Paul Blackwell. "On the Specifics of Modelling of Rotary Forging Processes." Computer Methods in Material Science 17, no. 1 (2017): 22–29. http://dx.doi.org/10.7494/cmms.2017.1.0571.

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Rotary forging process, in spite of its various advantages, has still not reached industrial production scale owing to its complex nature. With the advent of sophisticated finite-element modelling capabilities, it is now possible to make rotary forging more predictable and optimize it for industrial production standards.However, modelling by nature involves a series of assumptions and simplifications that can help us make reasonable predictions. It is important to know the important factors that affect the results, and what compromises can be made, with a genuine understanding of what the compromises will result in. This paper reports some initial findings from our attempt towards robust modelling for the design of the rotary forging process. Herein, we have taken the simple case of rotary upsetting of cylinders using a custom-designed rotary forging machine and modelled it using commercial metal-forming software QForm.

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Wen, Xiu Lan, Dong Xia Wang, Li Fang, and Yi Bing Zhao. "Sampling Strategy for Free-Form Surface Inspection Using Coordinate Measuring Machines." Applied Mechanics and Materials 532 (February 2014): 106–12. http://dx.doi.org/10.4028/www.scientific.net/amm.532.106.

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Due to the complexity and non-rotational symmetry of free-form surface, it is difficult to achieve accurate and efficient inspection method. In order to solve this problem, three types of sampling sequences are proposed to specify a set of measuring points of free-form surface. For comparing the results of different sampling strategies, the profile errors of free-form surface are calculated based on a quasi particle swarm optimization (QPSO) searching the transformation parameters to implement localization and surface subdivision method finding the closest points on the design model corresponding to measured points. In order to obtain effective sampling strategies, four design models are generated by non-uniform rational basis spline (NURBS) and parts are manufactured on two machining centers to obtain surfaces of different roughness and measured on CMMs by selecting different sampling methods and sample sizes. The profile errors of parts are calculated by the proposed method and CMMs software, respectively. The results show that randomized Hammersley sampling sequence and medium sample size are preferred for the profile error inspection of given parts if accuracy and time are all considered. The research provides a method for free-form surface accurate inspection while minimizing the sampling time and cost.

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Dolmatov, Dmitry�, Vadim� Zhvyrblya, Dmitry� Sednev�, and Michael� Kroening. "The imaging algorithm for the ultrasonic testing of metal castings by the application of automated testing systems based on a six degree of freedom robotic manipulators." Computer Methods in Material Science 18, no. 2 (2018): 49–57. http://dx.doi.org/10.7494/cmms.2018.2.0613.

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Complex-shaped surface represents one of the challenges in ultrasonic testing of metal castings. This conditions the growing interest in development and application of the automated testing system based on a six degree of freedom (DOF) robotic manipulators. This is due to their ability to provide ultrasonic scanning of the curved specimens with high speed. Higher reliability of the results can be obtained via implementation of the imaging algorithms based on Synthetic Aperture Focusing Technique (SAFT) in the named systems. This approach allows to obtain high-resolution imagery of the internal structure of controlled objects with reduced level of grain noise, the latter occurs due to the often encountered coarse-grained structure of metal castings.� In this paper, we introduce the novel imaging algorithm for the automated ultrasonic testing system based on a six degree of freedom robotic manipulator. The capabilities of the algorithm were verified by the application of computer simulations in CIVA 2016 software and also via the in situ experiments. In all the cases analyzed the results revealed that the imaging algorithm allows to make precise imagery of the internal structure of the specimens with different curvature. The obtained research results confirmed the suggested algorithm effectiveness, thus making it acceptable for prospective industrial applications.

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Sizova, Irina, Alexander Sviridov, Martin Günther, and Markus Bambach. "Finite Element Modelling of Titanium Aluminides." Computer Methods in Material Science 17, no. 1 (2017): 51–58. http://dx.doi.org/10.7494/cmms.2017.1.0575.

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Hot forging is an important process for shaping and property control of lightweight titanium aluminide parts. Dynamic recrystallization and phase transformations play an essential role for the resulting grain size and accordingly the mechanical properties. Due to the fact that titanium aluminides require forging under isothermal conditions, reliable process modeling is needed to predict the microstructure evolution, to optimize the process time and to avoid excessive die loads. In the present study an isothermal forging process of a compressor blade made of TNB-V4 (Ti–44.5Al–6.25Nb–0.8Mo–0.1B, at. %) is modeled using the Finite Element (FE) – Software Q-Form. A microstructure model describing the microstructure evolution during forging is presented. To calibrate the model, the high-temperature deformation behavior was investigated using isothermal compression tests. The tests were carried out at temperatures from 1150°C to 1300°C, applying strain rates ranging from 0.001s-1 to 0.5s-1, up to a true strain of 0.9. The experimentally determined flow stress data were described with model equations determined form the course of the strain hardening rate in Kocks-Mecking plots. An isothermal forging process of a compressor blade was carried out and used to validate the results from the FE simulations.

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Righini, R., A. Bottazzi, C. Fichera, M. Papastathi, and L. Perasso. "An Innovative Software Tool for the Reliability Centered Maintenance Integrated with the Existing CMMS." IFAC Proceedings Volumes 31, no. 15 (June 1998): 987–92. http://dx.doi.org/10.1016/s1474-6670(17)40680-x.

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Stazić, Ladislav, Nikola Račić, Tatjana Stanivuk, and Đorđe Dobrota. "Determination of Benefits of the Application of CMMS Database Improvement Proposals." Applied Sciences 13, no. 4 (February 20, 2023): 2731. http://dx.doi.org/10.3390/app13042731.

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Computerized maintenance management systems (CMMSs) are software packages that support or organize the maintenance tasks of assets or equipment. They are found in the background of any ship maintenance operation and are an important part of maintenance planning, spare parts supply, record keeping, etc. In the marine market, there are a number of CMMSs that are competing fiercely to program a better and more modern program that will capture the market, which has been accompanied by published analyses and scientific papers. At the same time, the quality of the data entered into CMMS databases is questionable, a fact that has been ignored in practice and scientific circles; until recently, there were no published analyses and there was no way to measure the quality of the data entered. This article presents two proposals for improving the quality of CMMS databases and calculates their potential benefits. By implementing the first proposal, the evaluation methodology for the ship’s Planned Maintenance System database, between 10% and 15% of databases will have significant financial or safety benefits. This measure will also have an impact on more than 40% of the other databases that can also be improved. The second proposal will have a smaller impact of only 4%. The overall benefit of these proposals is to improve more than 60% of the databases and will result in a significant increase in safety or financial savings.

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Thilmany, Jean. "Outside In." Mechanical Engineering 131, no. 08 (August 1, 2009): 38–41. http://dx.doi.org/10.1115/1.2009-aug-5.

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This article discusses reverse engineering software is slowly changing the way design engineers do their everyday jobs. With the pervasiveness of computer-aided design packages, reverse engineering technology has become a practical tool to create a 3D virtual model of an existing physical part. This model is then available to be used in 3D CAD, computer-aided manufacturing, or other computer-aided engineering applications. The reverse engineering process needs hardware and software that work together. The hardware is used to measure an object, and the software reconstructs it as a 3D model. The physical object can be measured using 3D scanning technologies such as a coordinate measuring machine, laser scanner, structured light digitizer, or computed tomography. The wider accessibility of handheld-laser scanners and portable CMMs like the one used at Excel Foundry means more companies can afford reverse engineering for their own unique ends. The scanner has turned out to be equally useful for engineering and for local archeological and preservation projects; and so far, it has been used to help preserve endangered artifacts.

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Haitjema. "Calibration of Displacement Laser Interferometer Systems for Industrial Metrology." Sensors 19, no. 19 (September 22, 2019): 4100. http://dx.doi.org/10.3390/s19194100.

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Displacement laser interferometer systems are widely used for the calibration of machine tools and CMMs (Coordinate Measuring Machines). Additionally, they are often the workhorse in dimensional calibration laboratories, where they act as the basic metrological traceability link for many calibrations. This paper gives a review of the calibration of such systems, where several approaches, such as the calibrations of separate components or the system as a whole, are reviewed. The calibrations discussed are: the laser frequency, the counting system, software evaluation of the environmental conditions, environmental and material temperature sensor calibration and the calibration of optics that is part of the system. For these calibrations considerations are given about the ways these can be carried out and about establishing the re-calibration intervals.

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Limaiem, Anis, and Hoda A. EIMaraghy. "Integrated accessibility analysis and measurement operations sequencing for CMMs." Journal of Manufacturing Systems 19, no. 2 (January 2000): 83–93. http://dx.doi.org/10.1016/s0278-6125(00)80002-3.

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Ismail, Zul-Atfi. "An Integrated Computerised Maintenance Management System (I-CMMS) for IBS building maintenance." International Journal of Building Pathology and Adaptation 37, no. 3 (June 10, 2019): 326–43. http://dx.doi.org/10.1108/ijbpa-10-2017-0049.

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Purpose The purpose of this paper is to focus on the development of an integrated computerised maintenance management system to improve the information storage of design and construction, diagnostic and defect risk assessments on IBS building through the integration of building information modelling (BIM). Design/methodology/approach The methodology used interviews with the IBS building client/maintenance contractor in Malaysia to gather information about maintenance management problems, approaches to address problems, information and communication technology implementation and use of emerging technologies, in addition to prototyping a system development life cycle for system development. Findings Relevant process flowchart documents of system development were obtained from the case study and reviewed to assist in providing an automation technique for decision-making and structural defect diagnostic operation through the integration of Visual Basic.Net, MS Access and Autodesk Revit software. Originality/value This research focuses on automatic bidirectional communications between an Expert System and BIM on a database level. Adoption of the approaches suggested in the research will enable the system to promote the development of zero IBS building maintenance.

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Kirkland, Eric, Thomas R. Kurfess, and Steven Y. Liang. "An Optical Coordinate Measuring Machine for Nanoscale Dimensional Metrology." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 1 (January 20, 2004): 39–44. http://dx.doi.org/10.20965/jaciii.2004.p0039.

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Coordinate Measuring Machines (CMMs) are commonly used for geometry verification and replication on solid parts and work pieces on many scales. As the parts predicable continues to grow smaller and smaller, so grows the need to accurately measure the dimensional accuracy of these parts. This is partly because of how the critical part tolerances become as dimensions shrink and geometries become more complex. Research is currently underway at the Georgia Institute of Technology to develop a system for dimensional metrology at the nano-scale. The goal is to develop a versatile, non-contact, three-dimensional system capable of making accurate measurements on the nano level of form attributes of micro electro-mechanically manufactured parts. The Nano-CMM developed consists of a laser probe, a 6-axis positioning table, and a support frame. This paper describes the calibration of probe, processing of measurement signals, detection of solid edges, and software interface for system automation.

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Franceschini, Fiorenzo, Domenico Maisano, and Luca Mastrogiacomo. "Mobile spatial coordinate measuring system (MScMS) and CMMs: a structured comparison." International Journal of Advanced Manufacturing Technology 42, no. 11-12 (September 4, 2008): 1089–102. http://dx.doi.org/10.1007/s00170-008-1677-0.

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Lim, C. K., and M. Burdekin. "Rapid volumetric calibration of coordinate measuring machines using a hole bar artefact." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 8 (August 1, 2002): 1083–93. http://dx.doi.org/10.1243/095440502760272368.

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The paper reports on the development of a new rapid volumetric accuracy calibration system for multiaxis coordinate measuring machines (CMMs). The system utilizes a calibrated mechanical artefact, in the form of a 540mm long I-beam hole bar. The 21 effective parametric error components for a three-axis machine can be obtained by probing the artefact when it is placed at 17 specified orientations within the measuring volume. The parametric errors are then further transformed into the CMM volumetric error by applying formulae derived from the rigid-body motion for the structural configuration of the CMM. Software has been developed to automate the probing of the artefact, data acquisition and the analysis of the parametric errors. Options for graphical and numerical data output of the volumetric error map is also included. Practical calibration tests and results from a moving bridge CNC (computer numerically controlled) CMM are shown, where the overall time for the calibration process, including equipment set-up time, was found to be less than two hours.

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Matsur, German, Vladislav Mironenko, Anastasia Savelyeva, Kirill Votyakov, and Nadezhda Karabontseva. "Improvement of the process of control of the geometric characteristics of assembly parts with spatially complex surfaces." Journal of Physics: Conference Series 2373, no. 6 (December 1, 2022): 062027. http://dx.doi.org/10.1088/1742-6596/2373/6/062027.

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Abstract Significant improvements have been made to measurement systems to meet changing market requirements. Such a rapid change and development of measuring technology is primarily due to the requirements for accuracy and accuracy in aerospace and other manufacturing industries. Coordinate-measuring machines (CMM) gave a new impetus in the field of geometric and dimensional metrology. CMM in the industrial environment has become an important resource for quality systems, monitoring production processes, reducing errors in the production process, checking product specifications and constantly improving quality. Although modern CMMs can better meet the needs of rapidly growing customer requirements, there are still many opportunities to improve and develop CMM. The globalization of production has led to the development of many complex products and the automation of mechanical components. Therefore, there is a need to develop a technique for controlling the thickness of the residual web for parts with geometrically complex surfaces. Using the creation of measurement map templates in the CAD system, scanning scans in the standard laser tracker software, as well as creating appropriate leaders with subsequent loading into the CAD system.

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D'Orazio, Marco, Gabriele Bernardini, and Elisa Di Giuseppe. "Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests." VITRUVIO - International Journal of Architectural Technology and Sustainability 8 (April 4, 2023): 18–29. http://dx.doi.org/10.4995/vitruvioijats.2023.18811.

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Preventive conservation of cultural heritage can avoid or minimize future damage, deterioration, loss and consequently, any invasive intervention. Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans, based on their ability to predict the future state of the built heritage by collected data. Several data sources were used, such as structural data and images depicting the evolution of the deterioration state, but till now textual information, exchanged by people living or working in historical buildings to require maintenance interventions, was not used to support conservation programmes. This work proposes a method to support preventive conservation programs based on the analysis of data collected into CMMS (computer maintenance management software). In a Cultural Heritage building in Italy, hosting a University Campus, data about end-user’s maintenance requests collected for 34 months were analysed, and LSTM neural networks were trained to predict the category of each request. Results show a prediction accuracy of 96.6%, thus demonstrating the potentialities of this approach in dynamically adapting the maintenance program to emerging issues.

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D'Orazio, Marco, Gabriele Bernardini, and Elisa Di Giuseppe. "Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests." VITRUVIO - International Journal of Architectural Technology and Sustainability 8 (April 4, 2023): 18–29. http://dx.doi.org/10.4995/vitruvio-ijats.2023.18811.

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Preventive conservation of cultural heritage can avoid or minimize future damage, deterioration, loss and consequently, any invasive intervention. Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans, based on their ability to predict the future state of the built heritage by collected data. Several data sources were used, such as structural data and images depicting the evolution of the deterioration state, but till now textual information, exchanged by people living or working in historical buildings to require maintenance interventions, was not used to support conservation programmes. This work proposes a method to support preventive conservation programs based on the analysis of data collected into CMMS (computer maintenance management software). In a Cultural Heritage building in Italy, hosting a University Campus, data about end-user’s maintenance requests collected for 34 months were analysed, and LSTM neural networks were trained to predict the category of each request. Results show a prediction accuracy of 96.6%, thus demonstrating the potentialities of this approach in dynamically adapting the maintenance program to emerging issues.

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Pathak, Vimal Kumar, and Amit Kumar Singh. "Form Error Evaluation of Noncontact Scan Data Using Constriction Factor Particle Swarm Optimization." Journal of Advanced Manufacturing Systems 16, no. 03 (August 2017): 205–26. http://dx.doi.org/10.1142/s0219686717500135.

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Form error evaluation of manufactured parts is one of the crucial aspects of precision coordinate metrology. With the advent of technology, the noncontact data acquisition techniques are replacing the conventional machines like coordinate measuring machine (CMM). This paper presents an optimization technique to evaluate minimum zone form errors, namely straightness, circularity, flatness and cylindricity using constriction factor-based particle swarm optimization (CFPSO) algorithm. Addition of constriction factor helps in accelerating the convergence property of CFPSO. Initially, a simple minimum zone objective function is formulated mathematically for each form error and then optimized using the proposed CFPSO. Primarily, the results of the proposed method for form error evaluation are compared with the literature results. Furthermore, the data obtained from noncontact 3D scanner is processed and the results of form error evaluation using CFPSO algorithm are compared with Steinbichler’s INSPECT PLUS software results. It was found that the results obtained using the proposed CFPSO algorithm are fast and better as compared with other evolutionary techniques like genetic algorithm (GA), previous literatures and software results. Furthermore, to ensure effectiveness of the proposed method statistical analysis ([Formula: see text]-test) was performed. CFPSO results for large dimension of problem show significant difference in computation time as compared with GA. The CFPSO algorithm provides 27.25%, 7.5% and 6.38% improvements in circularity, flatness and cylindricity, respectively, in comparison to RE software results, for determination of minimum zone error. Thus, the methodology presented helps in improving the accuracy and for speeding up of the automated inspection process generally performed by CMMs in industries.

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Martínez-Pellitero, S., J. Barreiro, E. Cuesta, and A. I. Fernández-Abia. "Knowledge base model for automatic probe orientation and configuration planning with CMMs." Robotics and Computer-Integrated Manufacturing 49 (February 2018): 285–300. http://dx.doi.org/10.1016/j.rcim.2017.08.012.

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Chen, Yueping, and Naiqi Shang. "Comparison of GA, ACO algorithm, and PSO algorithm for path optimization on free-form surfaces using coordinate measuring machines." Engineering Research Express 3, no. 4 (December 1, 2021): 045039. http://dx.doi.org/10.1088/2631-8695/ac3e13.

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Abstract Coordinate measuring machines (CMMs) play an important role in modern manufacturing and inspection technologies. However, the inspection process of a CMM is recognized as time-consuming work. The low efficiency of coordinate measuring machines has given rise to new inspection strategies and methods, including path optimization. This study describes the optimization of an inspection path on free-form surfaces using three different algorithms: an ant colony optimization algorithm, a genetic algorithm, and a particle swarm optimization algorithm. The optimized sequence of sampling points is obtained in MATLAB R2020b software and tested on a Leitz Reference HP Bridge Type Coordinate Measuring Machine produced by HEXAGON. This study compares the performance of the three algorithms in theoretical and practical conditions. The results demonstrate that the use of the three algorithms can result in a collision-free path being found automatically and reduce the inspection time. However, owing to the different optimization methodologies, the optimized processes and optimized times of the three algorithms, as well as the optimized paths, are different. The results indicate that the ant colony algorithm has better performance for the path optimization of free-form surfaces.

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Shirey, Will T., Kenneth Timothy Sullivan, Brian Lines, and Jake Smithwick. "Application of Lean Six Sigma to Improve Service in Healthcare Facilities Management: A Case Study." Journal of Facility Management Education and Research 1, no. 1 (January 1, 2017): 9–18. http://dx.doi.org/10.22361/jfmer/78724.

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ABSTRACT The purpose of this paper is to present a case study on the application of the Lean Six Sigma (LSS) quality improvement methodology to facilities management (FM) services at a healthcare organization. Research literature was reviewed concerning whether or not LSS has been applied in healthcare-based FM, but no such studies have been published. This paper aims to address the lack of an applicable methodology for LSS intervention within the context of healthcare-based FM. The Define, Measure, Analyze, Improve, and Control (DMAIC) framework was followed to test the hypothesis that LSS can improve the service provided by an FM department responsible for the maintenance and repair of furniture and finishes at a large healthcare organization in the southwest United States of America. Quality improvement curricula and resources offered by the case study organization equipped the FM department to apply LSS over the course of a five-month period. Qualitative data were gathered from pre- and post-intervention surveys while quantitative data were gathered with the Organization's computerized maintenance management system (CMMS) software. Overall, LSS application proved to be useful for the intended purpose. The authors proposes that application of LSS by other FM departments to improve their services could also be successful, which is noteworthy and deserving of continued research.

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Picozzi, Paola, Umberto Nocco, Andrea Pezzillo, Adriana De Cosmo, and Veronica Cimolin. "The Use of Business Intelligence Software to Monitor Key Performance Indicators (KPIs) for the Evaluation of a Computerized Maintenance Management System (CMMS)." Electronics 13, no. 12 (June 11, 2024): 2286. http://dx.doi.org/10.3390/electronics13122286.

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The increasing use of electromedical equipment in hospital care services necessitates effective management of complex devices often unsupported by existing control systems. This paper focuses on developing a pool of evaluation indices for the Clinical Engineering Department (CED) of the ASST Grande Ospedale Metropolitano Niguarda in Milano (Italy), aiming to enhance awareness of the economic value, assess operational units, and optimize maintenance processes. Leveraging business intelligence, this study identifies 18 key performance indicators (KPIs) across logistics, technical, and equipment management categories. An interactive dashboard, implemented using Power BI, facilitates dynamic analysis and visualization of these KPIs, providing insights into the maintenance efficiency and obsolescence of medical devices. It offers a comprehensive framework for ongoing monitoring and decision-making. The results showcase the potential of the developed KPIs and dashboard to enhance operational insights and guide improvements in the healthcare facility’s maintenance processes.

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Han, Zhenhua, Shugui Liu, Xinghua Li, Yingmo Wang, Xiaodong Zhang, and Guoxiong Zhang. "Path planning method for intelligent CMMs based on safety and the high-efficiency principle." International Journal of Advanced Manufacturing Technology 95, no. 9-12 (January 3, 2018): 4003–12. http://dx.doi.org/10.1007/s00170-017-1500-x.

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Müller, Andreas Michael, and Tino Hausotte. "Determination of the single point precision associated with tactile gear measurements in scanning mode." Journal of Sensors and Sensor Systems 9, no. 1 (February 24, 2020): 61–70. http://dx.doi.org/10.5194/jsss-9-61-2020.

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Abstract. The framework of the single point uncertainty developed at the Institute of Manufacturing Metrology (FMT) presents a methodology to determine and evaluate the local measurement uncertainty for a measurement setup by local comparison of a measurement series with an associated reference geometry. This approach, which was originally developed and optimized for the processing of complete areal measurements of work pieces using industrial X-ray computed tomography, was now also extended to line scans found in dimensional testing using tactile coordinate measuring machines (CMMs). The targets of the investigation are spur (involute) steel gear wheels, which can be dimensionally characterized by both helix and profile scans using a CMM in scanning mode in combination with a rotatory table. A second measurement procedure is characterized by a single scan of the complete gear profile without the usage of a rotatory table, using the “free-form scan” CMM functionality. The modification of the single point uncertainty framework in order to determine the single point precision of repeated gear wheel measurements was implemented successfully for gear measurements using the Zeiss Gear Pro evaluation software in combination with a rotatory table as well as unassisted free-form scans of the same gear. The examinations yielded abnormally high random measurement errors, which could not fully be explained within our examinations and was for the most part caused by the accuracy of the used rotatory table of the CMM. The alternative measurement method showed that the CMM system is capable of measuring very precisely in scanning mode if the changes in the curvature of the scan trajectory are favourable.

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Pahk, Heuijae, and Jonghoo Kim. "Application of microcomputer for assessing the probe lobing error and geometric errors of CMMs using commercial ring gauges." International Journal of Advanced Manufacturing Technology 10, no. 3 (May 1995): 208–18. http://dx.doi.org/10.1007/bf01179349.

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Dutta, Ankit K., Elizabeth D. Lightbody, Ziao Lin, Jean-Baptiste Alberge, Romanos Sklavenitis-Pistofidis, Tarek H. Mouhieddine, Annie Cowan, et al. "Non-Invasive Liquid Biopsy to Quantify and Molecularly Characterize Circulating Multiple Myeloma Cells in the Assessment of Precursor Disease Pathology." Blood 138, Supplement 1 (November 5, 2021): 78. http://dx.doi.org/10.1182/blood-2021-150622.

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Abstract Introduction: Multiple Myeloma (MM) is an incurable hematologic malignancy characterized by the abnormal growth of clonal plasma cells in the bone marrow (BM). In most cases MM develops from early, asymptomatic disease stages known as Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM). Despite effective new therapies, most MM patients inevitably relapse and require further treatment, highlighting the need for better early detection methods for precursor patients and targeted interventions to prevent early disease from progressing. The initial diagnosis of MGUS/SMM remains an incidental process following the identification of increased clonal immunoglobulin in the blood. BM biopsy is the gold standard for diagnosis and monitoring of MM progression, but is intrusive, painful, and comes with possible secondary complications for patients. Consequently, repeated assessment is not a feasible option for MGUS and SMM patients who are asymptomatic. Here we tested the utility of circulating multiple myeloma cells (CMMCs) from non-invasive blood biopsy to accompany BM as a method to monitor disease development, by enumerating CMMCs from MGUS/SMM patients. Methods: Peripheral blood from 185 precursor patients (75 MGUS and 110 SMM) from the Dana-Farber Cancer Institute observational PCROWD study (IRB #14-174) was collected in CellRescue TM Preservative Tubes and processed on the CellSearch CellTracks Autoprep system using the CMMC assay kit using 4mL of blood. This assay employs the enrichment of CMMCs through the immunophenotype of CD138 +CD45 -19 -, and leukocyte exclusion based on CD45 +CD19 +. Nucleated cells were identified using DAPI staining. The CellTracks Analyzer II fluorescence microscope system was subsequently used to scan captured CMMC cartridges, with software allowing the automated scoring and enumeration of CMMCs. Additional molecular analyses were carried out on SMM patients. Briefly, minipools of CMMCs were sorted by DEPArray and underwent whole genome amplification using Ampli1 kit, PCR-free library construction, quantification and low pass whole genome sequencing (~0.5x) on the Illumina HiSeq2500. To assess whether molecular analyses can be performed to detect hyperdiploidy as a genomic biomarker of MM disease, ichorCNA analyses was performed to determine copy number variant (CNV) events and infer tumour fraction. Results: CMMCs were detected in 27% of MGUS patients collected, with a median count of 2 CMMCs (range 0 to 1328). Comparably, CMMCs were detected in 57% of SMM patients, with a median enumeration of 13 CMMCs (range 0 to 43836). Enumeration of CMMCs illustrated a correlation with clinical measure of disease including the International Myeloma Working Group 2/20/20 risk stratification model. A higher CMMC count was associated with increasing risk group based on the 3-risk factor model, with a median of 5, 29 and 59 CMMCs detected at low, intermediate, and high-risk SMM groups, respectively. CMMC counts were significantly increased at intermediate (P = 5.0 x 10 -4) and high-risk stages (P = 3.7 x 10 -3) compared to low-risk. While enumeration provides a correlative measure of CMMCs that may be of tumor origin, downstream molecular characterization can confirm MM-associated genetic alterations. At the precursor stages, a low tumour burden is evident clinically, thus both normal and malignant plasma cells are present. Therefore, to determine the concordance between bone marrow and peripheral blood CMMCs, we performed genomic analyses to identify arm level gain or loss events. Molecular analyses of CMMCs was carried out in patients who had matched BM and clinical fluorescent in situ hybridization (FISH) results. We showed that CMMCs can capture 100% of clinically annotated BM FISH CNV events. Furthermore, CMMC samples identified additional yield, with further CNVs identified that were not observed by FISH. In cases that did not have BM biopsy results, sequencing of CMMCs revealed the existence of genetic aberrations. Conclusion: Our results demonstrate clinical correlation and molecular characterization of CMMCs from MGUS/SMM patients. This study provides a foundation for non-invasive detection, enumeration and genomic interrogation of rare CMMCs from the peripheral blood of MGUS/SMM, illustrating the clinical potential of using liquid biopsies for monitoring and managing disease in the precursor setting of MM. Disclosures Getz: IBM, Pharmacyclics: Research Funding; Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees. Ghobrial: AbbVie, Adaptive, Aptitude Health, BMS, Cellectar, Curio Science, Genetch, Janssen, Janssen Central American and Caribbean, Karyopharm, Medscape, Oncopeptides, Sanofi, Takeda, The Binding Site, GNS, GSK: Consultancy.

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Rozo Nader, Janeth. "Software con calidad implementando CMMI nivel 2." INGENIARE, no. 11 (July 1, 2011): 93. http://dx.doi.org/10.18041/1909-2458/ingeniare.11.648.

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Modelo de calidad CMMI, modelo para la mejora y evaluación de procesos para el desarrollo, mantenimiento y operación de sistemas de software. Toda empresa de software por el solo hecho de existir se encuentra en el nivel 1. Para mejorar la manera de trabajar y así obtener mejores resultados se debería avanzar al nivel 2 de CMMI, y para esto se deben adquirir las capacidades necesarias para interpretar las prácticas defi nidas en el nivel 2 del modelo CMMI, comprender los benefi cios, conocer las etapas de implementación de un proceso de mejoras alineado a CMMI, cuáles son sus riesgos y cómo minimizarlos.

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Edelist, Liran, Roy Gelbard, and Jeffrey Kantor. "Software Project Costing." International Journal of Information Technology Project Management 3, no. 4 (October 2012): 72–86. http://dx.doi.org/10.4018/jitpm.2012100105.

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This study puts forward a generic and comprehensive costing framework for software projects that aims for simplicity. This is achieved by integrating commonly used CMMI (Capability Maturity Model Integration) and PMBOK (Project Management Body of Knowledge) costing concepts in a broader organizational context. The costing framework comprises three layers: costing targets, costing activities, and policy evaluation. While the first two layers are derived from commonly used software engineering elements, the third integrates an organizational perspective through software engineers, project managers, accountants and top management. Employment of CMMI and PMBOK standards allows for easy adoption of the proposed model by organizations that are already relying on these standards.

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Journal articles on the topic 'Cmms software'

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