Littérature scientifique sur le sujet « Operational Maturity »
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Articles de revues sur le sujet "Operational Maturity"
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Salhieh, Loay M. "Warehouse Maturity Level and Operational Efficiency." Logforum 20, no. 4 (2024): 533–44. https://doi.org/10.17270/j.log.001118.
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Van der Westhuizen, Erika. "Navigating Operational Risk: Developing Criteria for Operational Risk Management Maturity in the Wake of COVID-19." Journal of Governance Risk Management Compliance and Sustainability 5, no. 1 (2025): 41–54. https://doi.org/10.31098/jgrcs.v5i1.2665.
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The COVID-19 pandemic has caused many organizations to suffer losses and even close due to being unprepared to manage the effects of such a deadly disease. This pandemic can be regarded as an external event that is an underlying risk factor for operational risk. Therefore, it is apparent that the losses and disruptions caused by COVID-19 can be directly linked to operational risk, meaning that any loss and damage can be attributed to a shortcoming in adequate operational risk control measures. Although many organizations were prepared in one way or another, it seemed uncertain at what level of risk maturity an organization would have adequate control measures in place for operational risk exposures. The research aimed to establish criteria for operational risk management maturity. The research followed a non-systematic literature review to evaluate various criteria within the framework of risk management. The literature review identified 30 criteria that can help organizations assess, develop, and benchmark their operational risk maturity. The concept of risk maturity can help organizations determine their level of risk resilience to cope with major operational risk events. Future research can be conducted to confirm the criteria and assess their applicability in various organizations.
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Kalnay, Eugenia, Stephen J. Lord, and Ronald D. McPherson. "Maturity of Operational Numerical Weather Prediction: Medium Range." Bulletin of the American Meteorological Society 79, no. 12 (1998): 2753–69. http://dx.doi.org/10.1175/1520-0477(1998)079<2753:moonwp>2.0.co;2.
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Kenley, C. Robert, and Terry R. Creque. "Predicting technology operational availability using technical maturity assessment." Systems Engineering 2, no. 4 (1999): 198–211. http://dx.doi.org/10.1002/(sici)1520-6858(1999)2:4<198::aid-sys2>3.0.co;2-7.
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Rodgers, James, Christopher Delhom, Chanel Fortier, and Devron Thibodeaux. "Rapid measurement of cotton fiber maturity and fineness by image analysis microscopy using the Cottonscope®." Textile Research Journal 82, no. 3 (2011): 259–71. http://dx.doi.org/10.1177/0040517511431317.
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Two of the important cotton fiber quality and processing parameters are fiber maturity and fineness. Fiber maturity is the degree of development of the fiber’s secondary wall, and fiber fineness is a measure of the fiber’s linear density and can be expressed as mass per unit length. A well-known method for fiber maturity and fineness is a cross-section image analysis and microscopy measurement. In general, typical cross-section image analysis and microscopy methods for fiber maturity and fineness can be slow and tedious to perform. Much interest has been shown in improved and rapid routine measurements of fiber maturity and fineness in the laboratory. The Cottonscope® is a new small footprint instrument for measuring fiber maturity and fineness, consisting of a longitudinal measurement of weighted fiber snippets in water using polarized light microscopy and image analysis. A program was implemented to assess the potential and capabilities of the Cottonscope to measure cotton lint maturity and fineness and to determine the major operational impacts on the Cottonscope results. The measurement was fast and easy to perform. The major operational impact on the Cottonscope results was environmental conditions (room temperature and relative humidity), and its impact was a concern for fineness only. Very good method agreement was observed between the Cottonscope and image analysis and microscopy method for maturity and fineness, with moderate coefficients of determination, R2s, and low residuals. Recommended operational protocols for routine Cottonscope measurements were developed.
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AYORINDE, Thomas A., and Oseni K. OWOLARAFE. "Effect of operational parameters on the performance of a kenaf harvester." Spanish Journal of Agricultural Research 21, no. 4 (2023): e0209. http://dx.doi.org/10.5424/sjar/2023214-19688.
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Aim of study: To develop a kenaf harvesting technology, that will improve kenaf production efficiency. This study evaluated the effect of some operation parameters on the performance of a tractor-mounted kenaf (Hibiscus cannabinus L.) harvester.
 Area of study: The experiment was performed at the Teaching and Research Farm of the Obafemi Awolowo University, Ile Ife, Nigeria.
 Material and methods: The experiment was initiated after 10 weeks of planting kenaf on the experimental field. The experimental design was a 3 × 4 × 5 experiment evaluating the effect of kenaf maturity (average stem diameter at week after planting (WAP) 10, 12, 14 and 16), kenaf varieties (‘Cuba 108’, ‘Ifeken 400’ and ‘Ifeken Di 400’) and forward speed of the tractor (2, 3.5, 5, 6.5 and 7.7 km/h) on effective field capacity, field efficiency, and operational loses of the machine.
 Main results: The effective field capacity of the machine decreased with increase in plant maturity and increased with increase in forward speed of the machine. The optimal value of the effective field capacity was 2.13 ha/day, when harvesting ‘Ifeken 400’, at crop maturity of 10 WAP, and forward speed was 5 km/h. The field efficiency of the machine was found to decrease with increase in crop maturity and forward speed of the machine. The field efficiency of the machine was 97%, with ‘Ifeken 400’ crop maturity of 10 WAP and forward speed of 2 km/h.
 Research highlights: The crop maturity, Kenaf variety and forward speed of tractor have effect on the effective field capacity, field efficiency and the operational loss of the tractor-mounted kenaf harvester
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Mtotywa, Matolwandile Mzuvukile. "Developing a Quality 4.0 Maturity Index for Improved Business Operational Efficiency and Performance." Quality Innovation Prosperity 26, no. 2 (2022): 101–27. http://dx.doi.org/10.12776/qip.v26i2.1718.
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Purpose: Technological advances and increased environmental turbulence require a transition in quality management. The study aimed at developing a Quality 4.0 maturity index for improved business operational efficiency and performance. Methodology/Approach: This conceptual paper introduces a theoretical business evaluative model that allows an integrated analysis of technology-driven, quality management dimensions. The model is based on theoretical and empirical information and describes Quality 4.0 business analysis by a theoretical central business dimensional concept, formal statistical analytical methods and uses these data to assign a maturity index score to the business. Findings: The study builds the Quality 4.0 maturity index following the analysis of seven continuous quality improvement dimensions. The maturity of these dimensions in the business is assessed with a five-point maturity level. The effectiveness of the index should be confirmed with fit as covariation and a composite score for the level of Quality 4.0 maturity. Research Limitation/Implication: The research is based on theory and has not been validated with empirical data. It is recommended that a validation study be conducted based on the approach and guidelines provided in the paper. Originality/Value of paper: The study helped develop a theoretical aspect of total quality management during an era of the fourth industrial revolution. It also aimed at practically benefiting a business by focussing on improved business capacity and capability to mitigate the environmental turbulence associated with pandemics. The paper provides novel work, as it describes one of the first Quality 4.0 maturity index models that may be used to improve business.
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Kenley, C. Robert, and Terry R. Creque. "3.5.2 Predicting Technology Operational Availability Using Technical Maturity Assessment." INCOSE International Symposium 8, no. 1 (1998): 628–34. http://dx.doi.org/10.1002/j.2334-5837.1998.tb00091.x.
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NISTOR, Florin, and Lucian Valeriu SCIPANOV. "On the Maturity of Operational Art in Romanian Military Thinking." Romanian Military Thinking 2024, no. 4 (2024): 10–25. https://doi.org/10.55535/rmt.2024.4.01.
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Going through the scientific military analyses of the ongoing Russian-Ukrainian and Middle Eastern wars, one can see their reference to a ubiquitous paradigm – the operational art. Within this approach, the authors intend to capture the philosophy of the concept of “operational art” through doctrinal introspection and the influence of the international schools on Romanian military thinking. It highlights the importance of operational art as a planning tool for a modern thinking school. The authors have traced the premises of the emergence, development, use, and doctrinal adaptation of the main characteristics of the concept related to the development of military art. This is also the purpose of this article, on the one hand, to promote and campaign for a deeper understanding of the concept, and on the other hand, to find a solution for the cognitive institutionalization of operational art (for example, a scientific centre). Thus, this paperwork does not aim for an exhaustive approach to the operational art but aims at briefly presenting the general progress of the operational art, as well as the evolution throughout Romanian military history. Interspersed with examples of how to apply it and of the effects it produces, the approach may arouse interest in paying more practical and theoretical attention to this important concept.
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Kolukısa Tarhan, Ayça, Vahid Garousi, Oktay Turetken, Mehmet Söylemez, and Sonia Garossi. "Maturity assessment and maturity models in health care: A multivocal literature review." DIGITAL HEALTH 6 (January 2020): 205520762091477. http://dx.doi.org/10.1177/2055207620914772.
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Background The maturity of practices and infrastructure in the health care domain directly impacts the quality and efficiency of health care services. Therefore, various health care administrations (e.g. from hospital management to the nationwide health authority) need to assess and improve their operational maturity. Objective This study aimed to review and classify studies that propose/use maturity assessment or maturity models (MMs) as a vehicle to achieve operational excellence in the health care domain. Method To achieve this objective, we performed a multivocal literature review (MLR) – a form of systematic review that includes data from the grey literature (e.g. white papers and online documents) in addition to formal, peer-reviewed literature. Results Based on 101 sources, 80 from peer-reviewed literature and 21 from the grey literature, we identified 68 different MMs on, for example, telemedicine, care pathways and digital imaging. We reviewed them with respect to various aspects, including types of research and contribution, list of MMs proposed/used with their subject areas, elements of maturity/capability and application scope or scale. In the synthesis of empirical benefits of using MMs, two were found to be significant: (a) identifying issues and providing guidance for improvement in health care contexts, and (b) improving efficiency, effectiveness, performance and productivity. Conclusion This MLR provides an overview of the landscape and serves as an index to the vast body of knowledge in this area. Our review creates an opportunity to cope with the challenges in obtaining an overview of the state-of-the-art and practice, choosing the most suitable models or developing new models with further specialties.
Thèses sur le sujet "Operational Maturity"
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Tervonen, P. (Pekka). "Integrated ESSQ management:as a part of excellent operational and business management—a framework, integration and maturity." Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514262296.
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Abstract
When examining management from the viewpoint of systems approach, the main elements are the overall management systems of a company and the related ESSQ matters and other critical success factors, depending on their theme. Excellent business management e.g. by taking advantage of quality award models is also becoming one of the cornerstones of the success of an organisation. Companies increasingly need more efficient and productive systems to maintain their competitiveness. These kinds of systems should continuously improve the company's operations and increase the satisfaction of customers and other interest groups.
A qualitative approach is mainly applied in this dissertation. This dissertation is composed of five research papers, in which qualitative approach is also used. The empirical data of this dissertation were obtained through interviews and a questionnaire among experienced industrial managers. All individual interview results and replies to the questionnaire were analysed and, when appropriate, compared to the literature. Finally, conclusions and synthesis were drawn based on the analysis.
As a general conclusion, it can be stated that combining issues that fall under different themes is reasonable because, on one hand, the causes of problems may be common to all areas and, on the other hand, solving one separate problem may easily lead to problems in other fields of business. Business-orientedness can be further increased by taking maturity models into consideration. Organisations, which apply holistic management systems that take all essential success factors of business into consideration, approach the natural functioning of an organisation. The integration of different operational areas into one system will facilitate the management of operations, increase internal co-operation and save resources, time and costs.
The starting point of holistic management is that needs can be fully addressed only when all relevant variables of the entire organisational system are taken into consideration. Systematically integrated management systems that cover different operating models in an extensive manner and that function well are not yet common, but there is a clear trend towards the integration of different systems. This dissertation indicates that the ultimate purpose and genuine contribution to business of Integrated ESSQ Management and maturity models is to provide a framework, which helps companies to better understand and incorporate these issues as a part of their overall Operational and Business Management. In principle, every company should develop its own management model that is tailored to meet the needs of the organisation in question.
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Johansson, Gustav, and Sofie Wilhelmsson. "Digital Maturity & Operational Performance : A case study in the supply-chain of the Scandinavian FMCG industry." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240288.
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Manufacturing companies are currently experiencing a digital transformation pressure as focus on concepts such as Industry 4.0 are growing. Industry 4.0 a concept inheriting, among other technologies, IoT, Cloud manufacturing and advanced analytics. The digital transformation and digitalisation of manufacturing may provide performance improvements. For example, in Supply chain functions, due to increased information sharing and possible performance improvements in forecast accuracy and deliverer accuracy. However, many companies are uncertain regarding how digital transformation best could be approached. An increasingly digital supply chain will increase the complexity of the organisation and the first step of any such transformation is to understand current capabilities. In this study we applied and, propose, the usage of a digital maturity framework, including a questionnaire, which is academically robust, has high level of transparency regarding the questionnaire, and are measuring all corporate functions. The digital maturity model is built on 3 dimensions, Strategy & organisation, Smart business processes and Smart product & services, 3 sub-dimensions and 13 associated fields. The framework thereby assesses all necessary enablers for digital transformation and provide guidelines for companies regarding what dimensions that are lagging and potentially are hindering a digital transformation. The framework was adapted and applied in the Scandinavian FMCG industry. By assessing 3 companies within the same corporate group which enabled triangulation with interviews to ensure validity provided a deeper understanding of the challenges in digitalisation and level of digital maturity in the Scandinavian FMCG industry were obtained. The results indicate that the major factor causing the low level of digital maturity within the Scandinavian FMCG industry were due to insufficient Strategy & Organisation mostly caused by a lack of strategic partners. The study concludes that competence and knowledge regarding how to approach digital transformation are the major challenge. In order to avoid develop all capabilities internally it is therefore important to source strategic partners. In addition, this study explored certain KPI’s that, according to the SCOR-model, are of great importance for operational performance. The SCOR-model were used since it is an established framework. The KPI’s for each of the participating factories were presented in relation to the digital maturity score within the associated field of production, procurement & logistics. Although no claims regarding causal relationships between digital maturity are made, the study proves the importance of connecting digital maturity to KPI’s in order to provide tangible benefits.<br>I och med framväxten av nya digitala teknologier upplever tillverkande företag ett ökat fokus på att digitalisera sin produktion. Digitaliseringen av industrin har kommit olika långt i olika delar men försök till att definiera vad som menar har genererat koncept som exempelvis Industry 4.0. Industry 4.0 är ett koncept som innefattar bland annat teknik som möjliggör att genom avancerad dataanalys och informationsdelning i realtid få helt nya insikter och möjlighet att styra och optimera produktionsprocesser. Dessa digitala hjälpmedel och tekniker tros även leda till mer kostnadseffektiva och flexibla värdekedjor. Exempelvis försöker många företag att förbättra sin prognos och leveranssäkerhet genom att få tillgång till försäljningsdata i realtid. Många företag är emellertid osäkra om hur de ska ta implementera och välja mellan vilka tekniker de bör fokusera på, samt om de har en organisation som är redo för att dra nytta av ny teknologi. En alltmer digital värdekedja som agerar i realtid ökar komplexitet och ställer även ökade krav på olika funktioner inom organisationen att samarbeta. Ett första steg i att förändras till ett digitalt företag att avgöra var de står idag och vad som kan förhindra en sådan förändring. I den här studien justerades och applicerades en modell som mäter digital mognadsgrad på ett företag inom den Skandinaviska FMCG industrin. Modellen som används är framtagen av akademiker och erbjuder transparens då frågeformuläret och hur bedömningen görs framgår, till skillnad från andra modeller. Modellen bedömer en organisations digital mognadsgrad enligt 3 dimensioner, Strategi och organisation, Smarta affärsprocesser och Smarta produkt och tjänster. I tillägg är dessa dimensioner uppbyggda av 3 under-dimensioner och 13 relaterade områden. Modellen bedömer därigenom alla nödvändiga faktorer för digital transformation och ger riktlinjer för företag om vilka dimensioner som anses digitalt omogna och potentiellt hindrar en digital transformation. Resultaten valideras genom att även genom semi-strukturerade intervjuer få ytterligare insikter i företagets processer, attityder, ledarskap och strategiska utmaningar. Resultaten visade att den avgörande faktorn som orsakade den relativt sett låga digitala mognadsgraden var avsaknaden av en tydlig strategi, att företagen är organiserade i funktionella silos, brist på kompetens och även strategiska partnerskap. I tillägg, utforskades vilka KPI’er som eventuellt kan förbättras genom en ökad digital mognadsgrad. Dessa KPI’er togs fram enligt SCOR-modellen då den är erbjuder ett akademisk etablerat ramverk. KPI’er för var och en av de deltagande fabrikerna presenterades i förhållande till digital mognadsgrad, men enbart inom det området produktion, upphandling och logistik. Även om det i studien inte görs några anspråk på att förklara samband mellan digital mognadsgrad, visar studien vikten av att koppla digital mognadsnivå till KPI’er för att kunna ge erbjuda konkreta fördelar med digitalisering och föreslår att det här tillvägagångsättet utvecklas i framtida arbete.
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Fleischmann, Martin. "Audit a hodnocení IS bank." Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-77064.
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Abstract (english) Objectives The main objective of this work is to design methods and proceadures enhancing effectiveness and efficiency of IT audit in banks with the accent given to their use by the supervisory authorities. Another objective of the work (and an essential starting point at the same time) is a summary and assesment of methods and proceadures developed and implemented into the CNB practice with regard to banking supervision in the area of information systems. Objectives Achievement From the methodological point of view the esential starting point of the work was represented by above mentioned objectives that were used for elaboration of a set of questions. Questions enabled to set up the hypotheses. (Another more particular hypotheses were defined in order to design the particular solutions in chapter 5.) Futhermore, the critical factors (problems) were defined in the process of the questions analyses. Subsequently, the solutions were specified. The solutions confirmed the hypotheses which reflected the achievement of the objectives. Description, categorisation, analyses, screening, modelling, comparative analyses and sample testing were used to achieve the objectives. In particular, the solutions that were elaborated, making use of methods described above, enhance effectiveness and efficiency of IT audit in banks. Moreover, the CNB's proceadures and methods were introduced and assesed within the work. Scientific Contribution The work brings an evidence of correlation between the quality of IT audit in banks and their economical performance. With this regard the work contributes with original conclusions, benchmarks and proceadures that may be used by banks, supervisory authorities and IT auditors. These conclusions are achieved by description, categorisation, analyses, modelling and screening research highlighting the role of the rentability, the productivity, the risks, the inovations and the economical value of information. Furthermore, the IT audit and IT supervision in banks are specified. They are also compared and contrast to the other audit cathegories. The work presents important peaces of evidence regarding the role of IT audit in this context. This is made by description, cathegorisation and analyses. Another contribution represents proceadures and methods developed and implemented (to the large extend by author) in the field od IT banking supervision in the Czech Republic. This delivers valuable outputs for foreign supervision authorities, banks and auditors. The work lead to original solutions of critical factors. These solutions are to use by IT audit and IT supervision (and also in audit work generally). The solutions make use of ceartain atributes of Capability Maturity Model (CMM) and were elaborated in the proces of decsription, cathegorisation, screening research, comparative analyses, hypotheses seting and testing. The solutions enhances acuracy and objectiveness of assesment done by IT auditors. The solutions lead to better comparativeness of audit outputs on both national and international level, give better preconditions for risk assesment and capital adequacy evaluation within BASEL II and enhance the information value of audit ouptuts. The structure (content) of the work reflects the above mentioned articles that give a brief description of the main four parts (chapters) of the work.
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Lopez-Marcano, Sebastian E. "Measuring cross-habitat movements among habitat hotspots of fish with artificial intelligence." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/414922.
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Connectivity, defined as the movement of individuals among populations or habitats, is a crucial ecological process that underpins the function of ecosystems. Animal movements promote a wide array of ecological outcomes, from genetic diversity to ecosystem recovery after disturbance. Therefore, it is necessary to have a clear understanding of the capabilities, scale, frequency, and locations of animal movements. In aquatic ecosystems, obtaining and analysing movement data is challenging because constantly changing environmental conditions hamper the use of traditional frameworks and methods. The study of animal movement in dynamic aquatic ecosystems also requires large volumes of data because animal movements cover different magnitudes, directions, and spatial levels of ecological organisation. As a result, new data collection and processing technologies are being developed to increase our understanding of this complex ecological process. Among new technologies, computer vision, machine learning and deep learning have received increased attention for their robust capabilities for rapidly processing large volumes of underwater imagery. Computer vision (CV) techniques are particularly suited to animal movement research because they can capture and process large amounts of raw data from underwater imagery. Despite their potential, CV techniques are only now beginning to be assessed in studies of aquatic animal movement, and their integration with appropriate statistical frameworks for behavioural analyses is required. In this thesis, I aim to identify, develop and apply CV techniques to measure animal movement in aquatic ecosystems. The focus is on measuring fish movements in connectivity corridors in estuarine systems. Fish movement research provides fundamental information about fisheries stocks, the status of protected areas, and the impact of habitat loss. Connectivity corridors are hotspots of fish migration, colonisation, feeding and reproduction. Yet much of fish behaviour in aquatic ecosystems remains hard to observe and timeconsuming to document manually. Connectivity corridors are a challenging but useful case study to test novel computer vision techniques for tracking fish. I first explored the current uses of CV techniques in fish movement studies and identified the benefits of CV for fish movement research. While the uptake of CV in fish movement studies has been slow, CV techniques provide two key benefits: 1) rapid, accurate and reliable datasets and 2) complementary information with traditional data collection techniques. Then, I developed a CV pipeline that automatically detects and tracks fish from underwater imagery. The pipeline has an 84% accuracy at detecting and subsequently tracking fish and provides large, raw movement datasets useful for ecological insight. To translate the raw movement data into behavioural events, I developed a new methodology for applying structural equation models to infer latent behavioural states of fish from observations of behavioural indicators. The statistical models accurately predicted behavioural events such as foraging (a slow, sinuous movement near the substrate) and fine-scale migrations (a fast, directional movement near the surface). Finally, I applied the CV pipeline to study the fine-scale movement and predation dynamics of fish at piped weirs in multiple estuaries. I used multi-species occupancy models to characterise fine-scale temporal changes in predator-prey co ccurrence and determined if behavioural differences could be detected at different categories of predator-prey co-occurrences. The fine-scale temporal changes of predator-prey co-occurrence varied among sampling days and locations, but I nevertheless identified that prey exhibited significantly different behaviours that depended on the probability of co-occurring predators. Overall, I bridged the gap between the development and application of new technologies for ecological research. CV can help us improve our understanding of critical interconnections among habitats and help researchers and managers increase data availability into conservation ecology and decision making. CV has the capacity to inform data-driven decisions that directly influence the health and productivity of marine ecosystems.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>School of Environment and Sc<br>Science, Environment, Engineering and Technology<br>Full Text
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Shah, Premal (Premal Y. ). "No-arbitrage bounds on American Put Options with a single maturity." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36232.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2006.<br>Includes bibliographical references (p. 63-64).<br>We consider in this thesis the problem of pricing American Put Options in a model-free framework where we do not make any assumptions about the price dynamics of the underlying except those implied by the no-arbitrage conditions. Our goal is to obtain bounds on the price of an American put option with a given strike and maturity directly from the prices of other American put options with the same maturity but different strikes and the current price of the underlying. We proceed by first investigating the structural properties of the price curve of American Put Options of a fixed maturity and derive necessary and sufficient conditions that strike - price pairs of these options must satisfy in order to exclude arbitrage. Using these conditions, we can find tight bounds on the price of the option of interest by solving a very tractable Linear Programming Problem. We then apply the methods developed to real market data. We observe that the quality of bounds that we obtain compares well with the quoted bid-ask spreads in most cases.<br>by Premal Shah.<br>S.M.
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Maeng, Honjae. "An application of technological maturity assessment to ROKAF T-50 aircraft production program." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Dec%5FMaeng.pdf.
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Garcia, Heriberto. "A Capability Maturity Model to Assess Supply Chain Performance." FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/191.
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In an overcapacity world, where the customers can choose from many similar products to satisfy their needs, enterprises are looking for new approaches and tools that can help them not only to maintain, but also to increase their competitive edge. Innovation, flexibility, quality, and service excellence are required to, at the very least, survive the on-going transition that industry is experiencing from mass production to mass customization. In order to help these enterprises, this research develops a Supply Chain Capability Maturity Model named S(CM)2. The Supply Chain Capability Maturity Model is intended to model, analyze, and improve the supply chain management operations of an enterprise. The Supply Chain Capability Maturity Model provides a clear roadmap for enterprise improvement, covering multiple views and abstraction levels of the supply chain, and provides tools to aid the firm in making improvements. The principal research tool applied is the Delphi method, which systematically gathered the knowledge and experience of eighty eight experts in Mexico. The model is validated using a case study and interviews with experts in supply chain management. The resulting contribution is a holistic model of the supply chain integrating multiple perspectives, and providing a systematic procedure for the improvement of a company’s supply chain operations.
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Sargent, Walter H. "Strategies to Improve Project Management Maturity Processes." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/3003.
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Information technology organizations lose significant competitive value when business leaders fail to use project management maturity (PMM) processes that enhance market delivery, reduce costs, and increase profitability. Using a multiple-case study, the researcher explored strategies that project leaders have used to improve PMM processes and expanded upon Kerzner's PMM model, which comprises 5 PMM levels essential for achieving repeatable project success. The researcher selected 20 project leader participants in the Southeastern region of the United States using a purposeful snowball sampling technique. In depth interviews were combined with archival and document exploration using a multiple-case study design where different types of project offices were cross compared as the unit of analysis including governmental, corporate, nonprofit, and not-for-profit organizations. Thematic analysis and cross-case analysis revealed 6 major strategies to improve PMM processes: project leader development, customer focus, standard methodology development, interactive communication, establishing a project office organizational structure, and practicing continuous process improvement. The implications for positive social change include the potential to provide small businesses and marginally-resourced organizations, such as churches and charitable organizations, with a beneficial value that contributes to positive economic activity in the local communities they support. The results are important because they extend constrained resources and organizational buying power for deliverables required by the recipient of the altruistic act.
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JANSSON, JONAS, and FREDRIK ÅBERG. "Sales and operations planning in the processindustry : A diagnostic model." Thesis, KTH, Hållbarhet och industriell dynamik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156049.
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Increased competition and globalisation has created new opportunities and challenges for supply chain planning. Implementation of sales and operations planning (S&OP) has thus become vital for companies in order to keep up with competition. One way of facilitating the implementation and assessing the current state of an S&OP process is by the use of maturity models. The purpose of this study is to; (1) evaluate S&OP maturity models through comparative nalysis and application on a company in the process industry, (2) develop a maturity model uitable for the process industry, (3) suggest a method for using it, and (4) add to the limited number of case studies describing the S&OP process of companies in different industries. The study has been conducted using a qualitative case study methodology. Qualitative data has been collected through semi-structured interviews with 19 employees from different levels and functions of the organisation in order to develop a complete picture of the S&OP process at the case company. The evaluation of current S&OP maturity models in a case study context has generated a maturity model suitable for the process industry and a qualitative method for maturity assessment. The assessment has also resulted in an in-depth analysis and description of the S&OP process of a company in the pulp and paper industry.
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Arch, Nicholas Luke. "Using design maturity assessments to improve new technology implementation in active production environments." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111484.
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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017.<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 123-124).<br>Without the design, development, and implementation of new technologies, companies that are currently innovative will be quickly surpassed by their competitors. Company A, a large aerospace company with a long history of introducing new technologies, is aiming to improve its new technology implementation process to continue to be successful in a competitive industry. While generally successful when implementing new technologies, Company A frequently faces unexpected challenges during implementation. The ability to effectively implement technologies in production environments will increase the likelihood that the business case for a new technology will be realized. Company A is in the process of implementing an automated fabrication solution for Component 1 that could eliminate risks associated with ergonomics and potential production volume increases. The goal of this project was not only to create a plan to aid the implementation of the automated fabrication technology for Component 1, but to broadly research technology implementation to determine how industrial companies can turn implementation into a competitive advantage. While creating multiple plans to implement the automated fabrication technology, research was performed about risk management, available tools to aid the implementation process, and lessons learned from past implementations. A significant part of new technology implementation involves identifying, prioritizing, and mitigating risk associated with the technology and the production system. There are many general and company-specific tools that aim to aid this process, but most of these tools focus on the technology, not the production system. The theory of Operational Readiness was developed as a way to combine the advantages of numerous design maturity assessment tools. Operational Readiness involves confirming that the new technology satisfies its requirements, is manufacturable, and fits within the overall product system. Operational Readiness also ensures that the production system is ready to accept the new technology. By utilizing Operational Readiness, cross-functional design, development, and implementation teams will be forced to take a system-wide view of the new technology implementation. This rigorous assessment process will be challenging and time-consuming, but the results will generate significant benefits to companies that are willing and able to use the theory of Operational Readiness.<br>by Nicholas Luke Arch.<br>M.B.A.<br>S.M.
Livres sur le sujet "Operational Maturity"
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Alberts, David S. NATO NEC C2 maturity model. DoD Command and Control Research Program, 2010.
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Alberts, David S. NATO NEC C2 maturity model. DoD Command and Control Research Program, 2010.
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Steele, R. J. Corn objective yield: Operational vs. non-invasive maturity category determinations. 1987.
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Allen, Julia H., Richard A. Caralli, and David W. White. CERT Resilience Management Model: A Maturity Model for Managing Operational Resilience. Pearson Education, Limited, 2016.
Trouver le texte intégralChapitres de livres sur le sujet "Operational Maturity"
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Janko, Michael W. "Maturity Model." In Excellence in Operational Resilience. Routledge, 2024. http://dx.doi.org/10.4324/9781003438700-7.
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Corsi, Patrick, and Erwan Neau. "Going Beyond the Five Levels: a New Operational Capacity." In Innovation Capability Maturity Model. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119144335.ch17.
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Bedgood, Casey J. "Leveraging Maturity Models as Operational Truth Serum." In Fit for the Leadership Challenge. Productivity Press, 2022. http://dx.doi.org/10.4324/9781003335108-18.
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Bjelica, Dragan, Marko Mihic, and Dejan Petrovic. "Enhancing IT Project Management Maturity Assessment." In Advances in Operational Research in the Balkans. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21990-1_13.
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McGovern, Kate. "The Three Stages of Maturity in State Government." In A Public Sector Journey to Operational Excellence. Productivity Press, 2023. http://dx.doi.org/10.4324/9781003372691-4.
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McFarlane, Duncan, Rengarajan Srinivasan, Alena Puchkova, Alan Thorne, and Alexandra Brintrup. "A Maturity Framework for Operational Resilience and Its Application to Production Control." In Service Orientation in Holonic and Multi-Agent Manufacturing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73751-5_5.
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Li, Jicheng, Yijie Sun, Ping Gao, and Yuan Zhang. "Research on Evaluation Methods of Operational Safety Maturity of Airlines Based on Human Factors." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94165-8_33.
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Proff, Harald, Claudia Ahrens, Wencke Neuroth, et al. "Digital Maturity Assessment – Bisherige Transformation, Typen digitaler Unternehmen, Branchen- und Ländervergleich." In Accelerating Digitalization. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-31456-9_5.
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ZusammenfassungWir entwickeln in diesem Kapitel einen Index zur Erfassung der digitalen Reife („Digital Maturity Index“, DMI) und haben damit bei 160 deutschen und 785 Unternehmen weltweit die bisherige digitale Transformation untersucht.Die Ergebnisse für Deutschland stützen die Hypothesen, dass die Gewinnwirkung umso höher ist, je stärker durch die Digitalisierung Technologien und Prozesse (Activities) und mehr noch Angebote und Geschäftsmodelle (Businesses) verändert werden, die Gewinnwirkung der Digitalisierung umso höher ist, je stärker Veränderungsfähigkeiten (Dynamic Capabilities) aktiviert und dadurch operative Fähigkeiten (Operational Capabilities) neu konfiguriert werden und belegen damit, dass die Gewinnwirkung der Digitalisierung mit der digitalen Reife steigt. Die Ergebnisse lassen sich entlang der vier Teilindizes (Business Index, Activity Index, Dynamic Capability Index und Operative Capability Index) genauer betrachten. identifizieren sechs Archetypen digitaler Unternehmen (Champions, Potenzialträger, Innovatoren, Optimierer, Folger und Nachzügler) und zeigen, dass nur fünf Prozent der deutschen Unternehmen zu den digitalen Champions zählen, die im Zuge der Digitalisierung sowohl ihre Leistungen als auch ihre Fähigkeiten radikal verändert haben. Die sechs Typen digitaler Unternehmen unterscheiden sich darin, wie stark sie ihre Leistungen und Kompetenzen, aber auch ihre Wertschöpfung und die IT digitalisieren und wie schnell sie die digitale Transformation managen. Die Ergebnisse der Unternehmen weltweit ermöglichen einen Branchenvergleich, gemäß dem Anbieter von Industrieprodukten und Dienstleistungsanbieter bereits eine deutlich höhere digitale Reife aufweisen als z. B. Automobilunternehmen. ermöglichen einen Vergleich der bisherigen digitalen Transformation von Unternehmen in der EU, in Amerika und Asien, der relativ große Ähnlichkeiten zwischen den Regionen zeigt.
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Bourgeois, Guillaume, Géraldine Angulo, Hassana El-Zein, Vincent Courboulay, and Mohamed Cheriet. "Advancing Sustainability Through Digital Maturity: An Open Approach for Evaluating Quebec Organizations’ Environmental Responsibility." In Accelerating the Socio-Ecological Transition. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82896-6_9.
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Abstract The exponential growth of digital technologies has brought about substantial benefits in operational efficiency and communication. However, it has also led to increased energy consumption and greenhouse gas emissions (GHG), highlighting a growing concern: the environmental impact of information systems (IS). This chapter introduces an innovative approach designed to assess the environmental impact of digital technologies within organizations, tailored specifically to the North American context with a focus on Quebec. Key considerations include the local energy mix, regulations, and cultural factors. It addresses the challenges, opportunities, and prerequisites for successful adaptation, ensuring relevance to regional specificities. The proposed platform aims to facilitate collective efforts toward environmental preservation by promoting responsible and sustainable digital practices aligned with the United Nations Sustainable Development Goals. Adapted from the WeNR platform developed by the Institute of Responsible Digital Technology at the University of La Rochelle in France, this chapter discusses the requirement, description, and adaptation of the platform in Quebec. It addresses the pressing challenges of socio-ecological transition in the digital age and fulfills the pressing need for organizations to measure and mitigate the digital carbon footprint of their IS. Utilizing a life cycle assessment (LCA) methodology, the platform considers all phases of electronic equipment and data lifecycle. It emphasizes accessibility with an intuitive user interface and an open database featuring regularly updated impact factors. Users can complete a concise questionnaire to receive a comprehensive report on their digital carbon footprint, maturity level in responsible digital practices, and recommendations for reducing their carbon footprint. In conclusion, this chapter not only raises awareness but also actively promotes the implementation of responsible digital usage. By offering an innovative and adaptable platform, it addresses the environmental impact of digital technology within organizations, supporting their transition toward a more sustainable and environmentally respectful digital future.
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Suárez-Barraza, Manuel F., Jesús A. Chávez-Pineda, Dailin A. Ramirez Altamirano, and María Isabel Huerta-Carvajal. "The Impact of KAIZEN on the Operational Performance of Multinational Manufacturing Companies Through the Degree of Maturity. A Mixed Study in Mexico." In Advances in Manufacturing IV. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56444-4_28.
Texte intégralActes de conférences sur le sujet "Operational Maturity"
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Muthukrishnan, Sri Murugarasan, and Sellapan Palaniappan. "Security metrics maturity model for operational security." In 2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE). IEEE, 2016. http://dx.doi.org/10.1109/iscaie.2016.7575045.
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Güemes-Castorena, David, Carlos Chee-González, Heriberto García-Reyes, Daniel Zavala-Río, Imelda De Jesús Loera-Hernández, and Juan José Hinojosa-Cavazos. "Manufacturing Maturity Level Diagnosis for Operational Excellence." In 2023 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2023. http://dx.doi.org/10.23919/picmet59654.2023.10216861.
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Myrodia, A., and L. Hvam. "An Operational Tool to Assess Configuration Lifecycle Maturity." In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2019. http://dx.doi.org/10.1109/ieem44572.2019.8978570.
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Backurs, Andris, Leo Jansons, and Aigars Laizans. "Water electrolysis technologies: comparison of maturity, operational and cost efficiency." In 24th International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering and Information Technologies, 2025. https://doi.org/10.22616/erdev.2025.24.tf061.
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An electrolysis system uses electricity to split water molecules into hydrogen and oxygen. In this process, the electrolysis system produces hydrogen, and the remaining oxygen escapes to the atmosphere or is captured or stored for use in industrial processes, or for other purposes. This study provides a detailed assessment of four major electrolysis technologies (alkaline water electrolysis, proton exchange membrane electrolysis, solid oxide electrolysis, and anion exchange membrane electrolysis), their characteristics, key players in the global electrolyser market, and recent trends that define electrolysis technology and market development. The scope of this study extends not only to the analysis of electrolysis technologies, but also to an overview of the availability of critical materials, shortages or disruptions in supply of which can prove challenging or even harmful for those markets/regions with limited excess platinum group metals (platinum, palladium, rhodium, ruthenium, iridium, and osmium) and rare earth metals. Also, for two electrolysis technologies: alkaline water electrolysis and proton exchange membrane electrolysis, a comparison of efficiency and initial calculation of CAPEX for installations with medium and large installed capacities (5 and 100 MW) was presented.
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Salian, Dharmender. "Review of Digitalization using Artificial Intelligence Maturity Models: The Case of American Automotive SMES." In 12th International Conference on Soft Computing, Artificial Intelligence and Applications. Academy & Industry Research Collaboration Center, 2023. http://dx.doi.org/10.5121/csit.2023.132404.
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The purpose of this study is to review studies related to Artificial Intelligence (AI) maturity models (MM) in automotive manufacturing in a systematic manner. SMEs in the automotive industry must embrace digitalization to remain competitive. SME's employ a large segment of the USA's workforce. SMEs had not been aggressive in digitalization due to scarce funds, but the benefits of operational efficiency, quality improvement, cost reduction, and innovative culture have made it attractive to consumers. A growing number of operations are being digitalized using Artificial Intelligence techniques. In this paper, AI applications in SMEs are examined through the lens of an AI maturity model.
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Ruzhnikov, Alexey, and Arief Prasetyo. "Enhancing the Well Engineering Management System (WEMS) Through a Capability Maturity Model Integration (CMMI) - Based Approach." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/221827-ms.
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Abstract This study utilizes the Capability Maturity Model Integration (CMMI), a proven framework for evaluating and improving the effectiveness of processes, to identify and analyze gaps, in the context of Well Engineering Management System (WEMS). WEMS is essential for overseeing well construction projects, providing a structured approach to manage all phases of well construction from design to completion. The research aims to enhance the operational efficiency and effectiveness of WEMS in such projects by pinpointing critical improvement areas and proposing actionable interventions. The study's findings will be pivotal in refining WEMS processes, ultimately ensuring more reliable and optimized well construction operations. The study employs a quantitative approach using CMMI-based questionnaires with convenience sampling to assess the maturity levels of various WEMS processes. This is supplemented by qualitative data gathered through interviews and focus groups with project managers and engineers, to gain deeper insights into the specific challenges and inefficiencies identified in the initial survey. The study assessed WEMS processes at various maturity levels, applying these assessments to well construction projects where complete cycle engineering was conducted. The selected projects were either in the execution phase or had been completed within the last five years, notably during the period marked by global disruptions from 2020 to 2022. This timeframe was chosen because the unique challenges posed by these disruptions, such as supply chain issues, regulatory changes, and remote work dynamics, provide a valuable context for evaluating the adaptability and resilience of the WEMS processes. Understanding how these systems managed under significant and unexpected stress tests the robustness of the process designs and their capability to maintain operational integrity under duress, thereby adding critical insights into the maturity evaluation. The study revealed notable variability in the elements of the maturity levels of WEMS processes, emphasizing the impacts on standardization, decision-making, performance monitoring, and flexibility during the global disruptions. The high business process maturity score for WEMS was associated with more structured, performance-focused way of working and decision-making frameworks that proved effective under stress, illustrating the critical role of mature processes in managing unexpected challenges. Additionally, the integration of digital tools to track disruption events, availability of dashboards, significantly enhanced collaboration, with a shift towards cloud-based platforms facilitating remote management and real-time data sharing across well engineering projects. This digital adaptation enabled seamless communication and operational continuity, even when traditional workflows were disrupted. These findings underline the enhanced resilience and operational efficiency provided by WEMS maturity, supported by advanced digital tools in adapting to external shocks and maintaining project continuity. The novelty of this research lies in its application of CMMI, a model traditionally used in software and systems engineering, to the domain of well engineering management in the well construction projects. This adaptation introduces a novel perspective to achieving process maturity in the oil and gas industry and paves the way for subsequent investigations into the integration of various maturity models within industry-specific management systems. This research bridges a methodological gap and sets a precedent for future methodological adaptations in similar industry settings.
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Canina, Marita, Carmen Bruno, and Eva Monestier. "An operational framework of methods for designing ethical and sustainable future digital scenarios." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001507.
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The rapid pace of technological innovations is changing almost every aspect of people’s lives. Indeed, digital technologies are reshaping behaviors and human interactions as well as having great impacts on the environmental, political and economic level (Schwab, 2016). In this scenario, it becomes paramount for people to be able to adapt to this increasingly digital environment to reach the so-called Digital Maturity (MIT Sloan Management Review, 2017) and to recognize and unlock the huge potentialities of emerging technologies to foster sustainable development (WEF & PwC, 2020).Such topics are being addressed and tackled by the Digital Creativity for developing Digital Maturity Future Skills (DC4DM) European Project [1], a three-year project funded by the Erasmus + Program and whose outcome will be the spread of an educational model to train students to become Digital Maturity Enablers, new professional figures up-skilled to drive the change and to creatively envision future possibilities. Digital Maturity Enablers, indeed, have to possess a set of Digital Creative Abilities (DCAs) which encompass all those competencies, attitudes and mindsets that allow them to unleash their full creative potential. The empowerment and practice of such DCAs are enabled by the DC4DM educational model, a creativity-driven design model to free learners’ creativity and ease the achievement of a Digital Maturity (Bruno & Canina, 2021).Some DCAs can be trained simultaneously and are thus grouped in the so-called Drivers, clusters of DCAs that allow learners to gain awareness on paramount topics applied to digital technologies, namely digital ethics and sustainability, collaboration, technology foresight, data collection and complexity. Within this context, the aim of the paper is to introduce an operational framework built as part of the methodology used to identify the most important methods and tools to enhance the DCAs related to ethics, sustainability and futures thinking. Indeed, an ad hoc methodology was implemented in order to provide a systematic overview of the existing resources that could be useful to develop the competencies to design responsibly and sustainably with digital technologies and to envision futures possibilities. The effort has been channeled into mapping and clustering methods, tools, techniques and formats i.e. every type of resource that could help students acquire the creative abilities included in the cross model area called “Digital Responsibility and Sustainability”. As a matter of fact, the initial draft of the DC4DM model, the starting point to conceive the methodology, consisted of three phases, namely Pre-Process, Process and Post-Process, and a cross model area which included all the ethics, sustainability and futures thinking-related abilities essential when dealing with digital technologies. In order to filter and systematize the selected resources, these three dimensions have been considered as macro-categories and some criteria identified to steer the classification process. Based on their objectives, all the resources have been mapped on the DC4DM model, sorted between the Pre-Process and Process phase and finally collected in a digital booklet. So far the booklet has been used internally by the DC4DM consortium which is actually willing to make it an open online repository accessible to anyone interested in improving specific abilities. [1] https://www.dc4dm.eu/
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Isoherranen, V., M. K. Karkkainen, and P. Kess. "Operational excellence driven by process maturity reviews: A case study of the ABB corporation." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385872.
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Fernandes, Luara L. A., Makarand Hastak, and Dayana B. Costa. "Assessing Social, Technical, and Operational Maturity Dimensions for Digital Transformation in the Construction Phase." In 32nd Annual Conference of the International Group for Lean Construction (IGLC 32). International Group for Lean Construction, 2024. http://dx.doi.org/10.24928/2024/0214.
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Rueda, Paola, Hugo Quevedo, Ivan Osma, et al. "Smart Production Operations in a Remote Field in Latin America." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216827-ms.
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Abstract Operational and social challenges have generated high impacts in production losses and operations efficiency in a remote field in Latin-America, where well monitoring and operational processes are affected by several indigenous social strikes, long times to detect and solve production issues, electrical power management and continuous flow assurance events. Digital transformation at the field came with the integration of digital solutions that support the business strategic objectives of the asset, specifically to improve production, reduce downtimes, minimize carbon dioxide (CO2) emissions, and optimize operational efficiencies. Smart Production Operation (SPO) are enabled by integrated digital solutions considering automation and digitalization throughout: instrumentation, wireless connectivity, advanced digital workflows, edge, Artificial Intelligence (AI), Machine Learning (ML), Industrial Internet of Things (IIoT) solutions, and satellite communications. Assessing the digital maturity of the field to evaluate the level of digitalization was the first stage of this digital solution implementation, to further select a challenging location in the field where digital solutions can be a game changer in the operational efficiency and production optimization. Once the location was selected due to low Mean Time Between Failure (MTBF) and high production losses, a second stage of defining the digital maturity target state was developed to define the instrumentation and digital applications needed to successfully reach the Key Performance Objectives (KPO's) established. The components of the integrated solution installed are field instrumentation such as wireless pressure and temperature transmitters, wireless electrical corrosion probes, single and multiphase flow meter, Remote Terminal Units (RTUs), DumpFlooding (DF) and oil producers well surveillance, communication of the data transmission through satellite link, IIot as digital autonomous operations for chemical injection, edge computing for operational workflows and autonomous control, Virtual Flow Meter (VFM), camaras with visual analytics algorithms for security, safety monitoring alerts and flares volume estimation. The SPO solution implemented in the remote field is showing us remarkable results for a digital value creation to improve the production in a 4% average expected, enhance production monitoring in a water flooding pattern, reduce downtimes, optimize artificial lift reliability and extend run life by generating a fast well screening for root cause identification of production performance issues and actions, ensuring an effective, continuous and autonomous chemical injection, to reduce 1.5 ton CO2 emissions per month, to improve people efficiency by 60%, to ensure security surveillance of the location and to optimize the operational efficiency through digital autonomous tasks. This SPO implemented is an excellent showcase of best practices, novel and innovative automated workflows for a digital transformation strategy in the oil and gas industry, improving the digital maturity of a field, showing that the next level of autonomous production operation is paramount to optimize production, resources, reduce the environmental impact, minimize operational costs and security concerns in a challenging and remote location where manual processes are difficult to perform and a strict surveillance workflow is needed.
Rapports d'organisations sur le sujet "Operational Maturity"
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Gallagher, Brian P. Interpreting Capability Maturity Model Integration (CMMI) for Operational Organizations. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401709.
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Palmer, Richard L. SINCGARS-V Maturity Operational Test: Human Factors Evaluation (Synopsis). Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada149601.
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Rodrigo, Maria Fernanda, Claudia Figueroa, Oliver Peña-Habib, Xiomara Rojas-Asqui, and Melanie Putic. OVE's Review of Project Completion Reports (PCRs) and Expanded Supervision Reports (XSRs): The 2020 Validation Cycle. Inter-American Development Bank, 2020. http://dx.doi.org/10.18235/0002944.
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This report summarizes the results of the Office of Evaluation and Oversight's (OVE) annual validation of the self-assessments of project performance and results completed by the Inter-American Development Bank (IDB) and IDB Invest in 2019-2020. The IDB and IDB Invest have systems in place to measure the development effectiveness of their operations. These systems use a number of instruments to assess projects at the design, implementation, and completion phases. The design-phase assessment uses a “Development Effectiveness Matrix” (DEM) for sovereign guaranteed (SG) operations. The effectiveness of non-sovereign guaranteed (NSG) operations is measured with a “Development Effectiveness Learning, Tracking, and Assessment tool” (DELTA). Implementation-phase assessments measure SG operations with “Project Monitoring Reports,” while NSG operations are assessed with “Project Supervision Reports.” Upon completion, SG projects are self-evaluated with “Project Completion Reports,” or PCRs. NSG operations, use “Expanded Supervision Reports,” or XSRs when they reach early operation maturity (EOM). OVE validates Managements self-evaluations (PCRs and XSRs) and assigns a final project performance rating to each operation. As part of the 2020 validation cycle, OVE reviewed PCRs for 63 operations, 62 with operational closure (CO fully justified) in 2018 and one in 2013. XSRs were reviewed for 36 IDB Invest operations that had reached early operating maturity (EOM) in 2018.
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Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42200.
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Electrical energy storage (EES) has emerged as a key enabler for access to electricity in remote environments and in those environments where other external factors challenge access to reliable electricity. In cold climates, energy storage technologies face challenging conditions that can inhibit their performance and utility to provide electricity. Use of available energy storage technologies has the potential to improve Army installation resilience by providing more consistent and reliable power to critical infrastructure and, potentially, to broader infrastructure and operations. Sustainable power, whether for long durations under normal operating conditions or for enhancing operational resilience, improves an installation’s ability to maintain continuity of operations for both on- and off-installation missions. Therefore, this work assesses the maturity of energy storage technologies to provide energy stability for Army installations in cold regions, especially to meet critical power demands. The information summarized in this technical report provides a reference for considering various energy storage technologies to support specific applications at Army installations, especially those installations in cold regions.
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Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42200.
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Electrical energy storage (EES) has emerged as a key enabler for access to electricity in remote environments and in those environments where other external factors challenge access to reliable electricity. In cold climates, energy storage technologies face challenging conditions that can inhibit their performance and utility to provide electricity. Use of available energy storage technologies has the potential to improve Army installation resilience by providing more consistent and reliable power to critical infrastructure and, potentially, to broader infrastructure and operations. Sustainable power, whether for long durations under normal operating conditions or for enhancing operational resilience, improves an installation’s ability to maintain continuity of operations for both on- and off-installation missions. Therefore, this work assesses the maturity of energy storage technologies to provide energy stability for Army installations in cold regions, especially to meet critical power demands. The information summarized in this technical report provides a reference for considering various energy storage technologies to support specific applications at Army installations, especially those installations in cold regions.
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Aquino, Sixto, and Jose Claudio Linhares Pires. Second Independent Evaluation of the Expanded Project Supervision Report Exercise. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0010623.
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This report evaluates the second exercise of the Expanded Project Supervision Reports (XPSR), prepared by the Structured and Corporate Finance Department (SCF) for a sampling of 14 projects --13 loans and one guarantee. All projects were approved between 2000 and 2003, and they were selected based on the Evaluation Cooperation Group's Guidelines, which determine that all projects that achieved early operational maturity should be self-evaluated by SCF annually. While the guarantee covered regulatory risks of a distribution company, the loans financed energy, telecommunication, and transportation and sanitation projects in a context of implementing regulatory models aimed at attracting the private sector. The sampling gathers projects in seven countries and one regional project. This report presents the main findings and conclusions from the evaluation exercise.
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Pires, Jose Claudio Linhares. Third Independent Evaluation of Expanded Project Supervision Report (XPSR) Exercise. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0010614.
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This report evaluates the third exercise of the Expanded Project Supervision Reports (XPSRs), prepared by the Structured and Corporate Finance Department (SCF). The exercise represents a step toward full compliance with the Evaluation Cooperation Group's (ECG) guidelines, which require the validation of the XPSRs the same year they reached Early Operational Maturity (EOM). Based on the agreed schedule between OVE and SCF, this goal should be achieved by the end of 2011. This exercise implies the preparation of 13 XPSRs for all projects that reached EOM in 2008 and 2009. According to this agreed schedule, two additional exercises will be conducted by the end of 2011, one for projects that reached EOM in 2010 and another for projects that will reach EOM in 2011.This report presents the main findings and conclusions from the evaluation exercise. Some specific financial, business or proprietary information has been edited, in compliance with the Bank's Access to Information Policy.
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Berkowitz, Jacob, Nathan Beane, Kevin Philley, Nia Hurst, and Jacob Jung. An assessment of long-term, multipurpose ecosystem functions and engineering benefits derived from historical dredged sediment beneficial use projects. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41382.
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The beneficial use of dredged materials improves environmental outcomes while maximizing navigation benefits and minimizing costs, in accordance with the principles of the Engineering With Nature® (EWN) initiative. Yet, few studies document the long-term benefits of innovative dredged material management strategies or conduct comprehensive life-cycle analysis because of a combination of (1) short monitoring time frames and (2) the paucity of constructed projects that have reached ecological maturity. In response, we conducted an ecological functional and engineering benefit assessment of six historic (>40 years old) dredged material–supported habitat improvement projects where initial postconstruction beneficial use monitoring data was available. Conditions at natural reference locations were also documented to facilitate a comparison between natural and engineered landscape features. Results indicate the projects examined provide valuable habitat for a variety of species in addition to yielding a number of engineering (for example, shoreline protection) and other (for example, carbon storage) benefits. Our findings also suggest establishment of ecological success criteria should not overemphasize replicating reference conditions but remain focused on achieving specific ecological functions (that is, habitat and biogeochemical cycling) and engineering benefits (that is, storm surge reduction, navigation channel maintenance) achievable through project design and operational management.
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Small, Martin, Phillip Jordan, Michael Anyala, David Shelton, and Rebecca Stapleton. Assessing the Maturity of National Road Safety Management Systems. Asian Development Bank, 2023. http://dx.doi.org/10.22617/wps230159-2.
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Using theoretical and analytical foundations, this working paper shows the development and use of a maturity assessment framework to support ADB operations and road safety improvement in developing member countries. In studying several member countries, the authors found that attention should be given to improving regulatory standards and compliance, developing and improving trauma prevention systems, and significantly increasing government investment and priority. The framework allows authorities to analyze and comprehensively develop national road safety efforts without undue focus on one particular aspect, and with the maturity assessment supporting the preparation of a suite of high-quality, strategically oriented road safety project options.
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Gonzalez Diez, Verónica M., Nayda Ávalos, Ana María Linares, et al. IDB and IIC Project Performance: OVE’s Review of 2016 Project Completion Reports and Expanded Supervision Reports. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0010686.
Texte intégralRésumé :
Assessing the results of individual development operations is essential to learning what works and what does not and thus to increasing the effectiveness of investments in development. The purpose of this independent review is to ensure the accuracy and credibility of the project performance reporting system. This report summarizes the results and findings of OVE’s review of the 30 Expanded Supervision Reports (XSRs) completed by IIC in 2016 for NSG operations that reached early operating maturity in 2015, and for the 21 Project Completion Reports (PCRs) that IDB completed under the 2014 PCR guidelines by the end of 2016.