The Experts below are selected from a list of 20769 Experts worldwide ranked by ideXlab platform
Athanasios Bouras - One of the best experts on this subject based on the ideXlab platform.
-
PLM Maturity Evaluation and Prediction Based on a Maturity Assessment and Fuzzy Sets Theory
2014Co-Authors: Haiqing Zhang, Yacine Ouzrout, Aicha Sekhari, Athanasios BourasAbstract:Companies adopt PLM Maturity models to evaluate PLM implementation and recognize relative positions in PLM selection to better harness PLM benefits. However, the majority traditional PLM Maturity models are relative time-consuming and energy-consuming. This work focuses on proposing a fuzzy extended PCMA (PLM Components Maturity Assessment) Maturity model to brightly evaluate the gradual process of PLM Maturity accompaniment with time changes, which aims to reduce the efforts spent on Maturity evaluation. The proposed PCMA uses triangular fuzzy elements to express Maturity levels that can solve vague and complexity issues in PLM evaluation. The proposed fuzzy PCMA is tested by two Chinese firms. The first evaluation uses PCMA Maturity model to obtain the Maturity levels for a Chengdu company in 2010. The PLM Maturity for this company from 2011 to 2013 is conducted by the fuzzy extended PCMA Maturity model through inputting the KPIs’ value. Fuzzy extended PCMA is also used to predict the Maturity level for a Shanghai company. A comparison of the results obtained by fuzzy extended PCMA model and the real-life situation verify the effectiveness of the proposed model.
-
PLM - PLM Maturity Evaluation and Prediction Based on a Maturity Assessment and Fuzzy Sets Theory
IFIP Advances in Information and Communication Technology, 2014Co-Authors: Haiqing Zhang, Yacine Ouzrout, Aicha Sekhari, Athanasios BourasAbstract:Companies adopt PLM Maturity models to evaluate PLM implementation and recognize relative positions in PLM selection to better harness PLM benefits. However, the majority traditional PLM Maturity models are relative time-consuming and energy-consuming. This work focuses on proposing a fuzzy extended PCMA (PLM Components Maturity Assessment) Maturity model to brightly evaluate the gradual process of PLM Maturity accompaniment with time changes, which aims to reduce the efforts spent on Maturity evaluation. The proposed PCMA uses triangular fuzzy elements to express Maturity levels that can solve vague and complexity issues in PLM evaluation. The proposed fuzzy PCMA is tested by two Chinese firms. The first evaluation uses PCMA Maturity model to obtain the Maturity levels for a Chengdu company in 2010. The PLM Maturity for this company from 2011 to 2013 is conducted by the fuzzy extended PCMA Maturity model through inputting the KPIs’ value. Fuzzy extended PCMA is also used to predict the Maturity level for a Shanghai company. A comparison of the results obtained by fuzzy extended PCMA model and the real-life situation verify the effectiveness of the proposed model.
-
PLM - PLM Components Selection Based on a Maturity Assessment and AHP Methodology
Product Lifecycle Management for Society, 2013Co-Authors: Haiqing Zhang, Antonio Mazza, Athanasios Bouras, Yacine Ouzrout, Matteo Mario SavinoAbstract:The benefits of Product Lifecycle Management (PLM) have been noted for improving business, creating collaboration, and reducing energy and time by making transcendent decisions through the process of product life cycle. This work aims to propose a PLM Components Maturity Assessment (PCMA) model to gain comprehensive Maturity results and reduce the complexity in obtaining Maturity scores. According to PLM functionalities, we divide PLM into fifteen components. PLM components can be cataloged into five main fields: ‘TechnoWare’, ‘InforWare’, ‘FunctionWare’, ‘OrgaWare’, and ‘SustainWare’ (TIFOS Framework). With PCMA model we analyzed PLM components and proposed mature content of each dimension, obtaining specific key performance indicators for each dimension. This work has been also useful to solve decision-making issues based on AHP methodology, such as: selecting the optimal PLM components in TIFOS Framework, obtaining the components ranking weight, getting components Maturity score, and comparing it with the actual situation to give constructive business suggestions. These business suggestions include strengths and weakness of PLM components and conducting selection of PLM components. Experimental studies have been conducted to verify Maturity scores for each component and to achieve component-ranking weights.
-
PLM Components Selection Based on a Maturity Assessment and AHP Methodology
Product Lifecycle Management for Society IFIP Advances in Information and Communication Technology, 2013Co-Authors: Technology Springer, Berlin Heidelberg, As Zhang, Antonio Mazza, Matteo Mario Savino, Yacine Ouzrout, Haiqing Zhang, Athanasios BourasAbstract:The benefits of Product Lifecycle Management (PLM) have been noted for improving business, creating collaboration, and reducing energy and time by making transcendent decisions through the process of product life cycle. This work aims to propose a PLM Components Maturity Assessment (PCMA) model to gain comprehensive Maturity results and reduce the complexity in obtaining Maturity scores. According to PLM functionalities, we divide PLM into fifteen components. PLM components can be cataloged into five main fields: „TechnoWare‟, „InforWare‟, „FunctionWare‟, „OrgaWare‟, and „SustainWare‟ (TIFOS Framework). With PCMA model we analyzed PLM components and proposed mature content of each dimension, obtaining specific key performance indicators for each dimension. This work has been also useful to solve decision-making issues based on AHP methodology, such as: selecting the optimal PLM components in TIFOS Framework, obtaining the components ranking weight, getting components Maturity score, and comparing it with the actual situation to give constructive business suggestions. These business suggestions include strengths and weakness of PLM components and conducting selection of PLM components. Experimental studies have been conducted to verify Maturity scores for each component and to achieve component-ranking weights.
Erica L. Romsos - One of the best experts on this subject based on the ideXlab platform.
-
Results of the 2018 Rapid DNA Maturity Assessment
Journal of Forensic Sciences, 2020Co-Authors: Erica L. Romsos, Julie L. French, Mark Smith, Vincent Figarelli, Frederick Harran, Glenn Vandegrift, Lilliana I. Moreno, Thomas F. Callaghan, Joanie Brocato, Janaki VaidyanathanAbstract:Three commercially available integrated rapid DNA instruments were tested as a part of a rapid DNA Maturity Assessment in July of 2018. The Assessment was conducted with sets of blinded single-source reference samples provided to participants for testing on the individual rapid platforms within their laboratories. The data were returned to the National Institute of Standards and Technology (NIST) for review and analysis. Both FBI-defined automated review (Rapid DNA Analysis) and manual review (Modified Rapid DNA Analysis) of the datasets were conducted to assess the success of genotyping the 20 Combined DNA Index System (CODIS) core STR loci and full profiles generated by the instruments. Genotype results from the multiple platforms, participating laboratories, and STR typing chemistries were combined into a single analysis. The Rapid DNA Analysis resulted in a success rate of 80% for full profiles (85% for the 20 CODIS core loci) with automated analysis. Modified Rapid DNA Analysis resulted in a success rate of 90% for both the CODIS 20 core loci and full profiles (all attempted loci per chemistry). An analysis of the peak height ratios demonstrated that 95% of all heterozygous alleles were above 59% heterozygote balance. For base-pair sizing precision, the precision was below the standard 0.5 bp deviation for both the ANDE 6C System and the RapidHIT 200.
-
Rapid DNA Maturity Assessment
Forensic Science International: Genetics Supplement Series, 2015Co-Authors: Erica L. Romsos, S. Lembirick, Peter M. ValloneAbstract:© 2015 Two fully integrated rapid DNA platforms were tested as a part of a rapid DNA Maturity Assessment in the fall of 2014. The Assessment was conducted with sets of blinded single-source reference samples to gauge the typing success of the current rapid DNA typing technology. Samples were provided to participants for testing on the individual rapid platforms, and data was returned to the National Institute of Standards and Technology (NIST) for review and analysis. Both automated and manual review of the data sets were conducted to assess the success of genotyping the CODIS 13 core STR loci. Genotype results from the multiple platforms, participating laboratories, and STR typing chemistry was combined into a single analysis. The current Assessment of the Maturity of rapid DNA technology was focused on genotyping success, peak height ratios, and stutter artifacts across two platforms and multiple STR kit chemistries.
José Borbinha - One of the best experts on this subject based on the ideXlab platform.
-
EEWC - Maturity Assessment of TOGAF ADM Using Enterprise Architecture Model Analysis and Description Logics
Advances in Enterprise Engineering XIII, 2020Co-Authors: Diogo Proença, José BorbinhaAbstract:A Maturity Model represents a path towards an increasingly organized and systematic way of doing business. It is therefore a widely used technique valuable to assess certain aspects of organizations, as for example business processes. A Maturity Assessment can enable stakeholders to clearly identify strengths and improvement points, and prioritize actions in order to reach higher Maturity levels. Doing Maturity Assessments can range from simple self-Assessment questionnaires to full-blown Assessment methods, such as those recommended by the ISO/IEC TS 33030 or the SEI SCAMPI. A main caveat of these Assessments is the resources they encompass. In addition, many times the lack of automation renders benchmarks not possible. Assuming that the wide spread of Enterprise Architecture practices is making the modeling of business domains a fact, and considering the recent state of the art on the representation of those models as ontologies, this paper proposes how existing semantic technology can be used to automate TOGAF ADM Maturity Assessment of organizations by automating the analysis of enterprise architecture models in ArchiMate.
-
TPDL - Information Governance Maturity Assessment Using Enterprise Architecture Model Analysis and Description Logics
Digital Libraries for Open Knowledge, 2019Co-Authors: Diogo Proença, José BorbinhaAbstract:A Maturity Model represents a path towards an increasingly organized and systematic way of doing business. It is therefore a widely used technique valuable to assess certain aspects of organizations, as for example business processes. A Maturity Assessment can enable stakeholders to clearly identify strengths and improvement points, and prioritize actions in order to reach higher Maturity levels. Doing Maturity Assessments can range from simple self-Assessment questionnaires to full-blown Assessment methods, such as those recommended by the ISO/IEC TS 33030 or the SEI SCAMPI. A main caveat of these Assessments is the resources they encompass. In addition, many times the lack of automation renders benchmarks not possible. Assuming that the wide-spread of Enterprise Architecture practices is making the modeling of business domains a fact, and considering the recent state of the art on the representation of those models as ontologies, this paper proposes how existing semantic technology can be used to automate Information Governance Maturity Assessment of real organizations by automating the analysis of enterprise architecture models in ArchiMate.
-
Maturity Assessment of togaf adm using enterprise architecture model analysis and description logics
Enterprise Engineering Working Conference, 2019Co-Authors: Diogo Proença, José BorbinhaAbstract:A Maturity Model represents a path towards an increasingly organized and systematic way of doing business. It is therefore a widely used technique valuable to assess certain aspects of organizations, as for example business processes. A Maturity Assessment can enable stakeholders to clearly identify strengths and improvement points, and prioritize actions in order to reach higher Maturity levels. Doing Maturity Assessments can range from simple self-Assessment questionnaires to full-blown Assessment methods, such as those recommended by the ISO/IEC TS 33030 or the SEI SCAMPI. A main caveat of these Assessments is the resources they encompass. In addition, many times the lack of automation renders benchmarks not possible. Assuming that the wide spread of Enterprise Architecture practices is making the modeling of business domains a fact, and considering the recent state of the art on the representation of those models as ontologies, this paper proposes how existing semantic technology can be used to automate TOGAF ADM Maturity Assessment of organizations by automating the analysis of enterprise architecture models in ArchiMate.
-
CBI (2) - Maturity Model Architect: A Tool for Maturity Assessment Support
2018 IEEE 20th Conference on Business Informatics (CBI), 2018Co-Authors: Diogo Proença, José BorbinhaAbstract:A Maturity Model represents a path towards an increasingly organized and systematic way of doing business. It is therefore a widely-used technique valuable to assess certain aspects of organizations, as for example business processes. A Maturity Assessment can enable stakeholders to clearly identify strengths and improvement points, and prioritize actions in order to reach higher Maturity levels. Doing Maturity Assessments can range from simple self-Assessment questionnaires to full-blown Assessment methods. This work presents the Maturity Model Architect (MMArch), a Maturity model repository and Assessment tool, which purpose is to provide support for executing Maturity Assessment making use of enterprise architecture models, ontologies and description logics. For this purpose, this work details three possible methods for governing the application of these techniques. The main goal of this work is to develop a tool with the purpose of automating and supporting Maturity Assessment.
-
using enterprise architecture model analysis and description logics for Maturity Assessment
ACM Symposium on Applied Computing, 2018Co-Authors: Diogo Proença, José BorbinhaAbstract:A Maturity Model represents a path towards an increasingly organized and systematic way of doing business. It is therefore a widely used technique valuable to assess certain aspects of organizations, as for example business processes. A Maturity Assessment can enable stakeholders to clearly identify strengths and improvement points, and prioritize actions in order to reach higher Maturity levels. Doing Maturity Assessments can range from simple self-Assessment questionnaires to full-blown Assessment methods, such as those recommended by the ISO/IEC 15504 or the SEI CMMI. A main caveat of these Assessments is the resources they encompass. In addition, many times the lack of automation renders benchmarks not possible. Assuming that the wide spread of Enterprise Architecture practices is making the modeling of business domains a fact, and considering the recent state of the art on the representation of those models as ontologies, this paper proposes how existing semantic technology can be used to automate Maturity models Assessment methods.
Peter M. Vallone - One of the best experts on this subject based on the ideXlab platform.
-
Rapid DNA Maturity Assessment
Forensic Science International: Genetics Supplement Series, 2015Co-Authors: Erica L. Romsos, S. Lembirick, Peter M. ValloneAbstract:© 2015 Two fully integrated rapid DNA platforms were tested as a part of a rapid DNA Maturity Assessment in the fall of 2014. The Assessment was conducted with sets of blinded single-source reference samples to gauge the typing success of the current rapid DNA typing technology. Samples were provided to participants for testing on the individual rapid platforms, and data was returned to the National Institute of Standards and Technology (NIST) for review and analysis. Both automated and manual review of the data sets were conducted to assess the success of genotyping the CODIS 13 core STR loci. Genotype results from the multiple platforms, participating laboratories, and STR typing chemistry was combined into a single analysis. The current Assessment of the Maturity of rapid DNA technology was focused on genotyping success, peak height ratios, and stutter artifacts across two platforms and multiple STR kit chemistries.
Haiqing Zhang - One of the best experts on this subject based on the ideXlab platform.
-
PLM Maturity Evaluation and Prediction Based on a Maturity Assessment and Fuzzy Sets Theory
2014Co-Authors: Haiqing Zhang, Yacine Ouzrout, Aicha Sekhari, Athanasios BourasAbstract:Companies adopt PLM Maturity models to evaluate PLM implementation and recognize relative positions in PLM selection to better harness PLM benefits. However, the majority traditional PLM Maturity models are relative time-consuming and energy-consuming. This work focuses on proposing a fuzzy extended PCMA (PLM Components Maturity Assessment) Maturity model to brightly evaluate the gradual process of PLM Maturity accompaniment with time changes, which aims to reduce the efforts spent on Maturity evaluation. The proposed PCMA uses triangular fuzzy elements to express Maturity levels that can solve vague and complexity issues in PLM evaluation. The proposed fuzzy PCMA is tested by two Chinese firms. The first evaluation uses PCMA Maturity model to obtain the Maturity levels for a Chengdu company in 2010. The PLM Maturity for this company from 2011 to 2013 is conducted by the fuzzy extended PCMA Maturity model through inputting the KPIs’ value. Fuzzy extended PCMA is also used to predict the Maturity level for a Shanghai company. A comparison of the results obtained by fuzzy extended PCMA model and the real-life situation verify the effectiveness of the proposed model.
-
PLM - PLM Maturity Evaluation and Prediction Based on a Maturity Assessment and Fuzzy Sets Theory
IFIP Advances in Information and Communication Technology, 2014Co-Authors: Haiqing Zhang, Yacine Ouzrout, Aicha Sekhari, Athanasios BourasAbstract:Companies adopt PLM Maturity models to evaluate PLM implementation and recognize relative positions in PLM selection to better harness PLM benefits. However, the majority traditional PLM Maturity models are relative time-consuming and energy-consuming. This work focuses on proposing a fuzzy extended PCMA (PLM Components Maturity Assessment) Maturity model to brightly evaluate the gradual process of PLM Maturity accompaniment with time changes, which aims to reduce the efforts spent on Maturity evaluation. The proposed PCMA uses triangular fuzzy elements to express Maturity levels that can solve vague and complexity issues in PLM evaluation. The proposed fuzzy PCMA is tested by two Chinese firms. The first evaluation uses PCMA Maturity model to obtain the Maturity levels for a Chengdu company in 2010. The PLM Maturity for this company from 2011 to 2013 is conducted by the fuzzy extended PCMA Maturity model through inputting the KPIs’ value. Fuzzy extended PCMA is also used to predict the Maturity level for a Shanghai company. A comparison of the results obtained by fuzzy extended PCMA model and the real-life situation verify the effectiveness of the proposed model.
-
PLM - PLM Components Selection Based on a Maturity Assessment and AHP Methodology
Product Lifecycle Management for Society, 2013Co-Authors: Haiqing Zhang, Antonio Mazza, Athanasios Bouras, Yacine Ouzrout, Matteo Mario SavinoAbstract:The benefits of Product Lifecycle Management (PLM) have been noted for improving business, creating collaboration, and reducing energy and time by making transcendent decisions through the process of product life cycle. This work aims to propose a PLM Components Maturity Assessment (PCMA) model to gain comprehensive Maturity results and reduce the complexity in obtaining Maturity scores. According to PLM functionalities, we divide PLM into fifteen components. PLM components can be cataloged into five main fields: ‘TechnoWare’, ‘InforWare’, ‘FunctionWare’, ‘OrgaWare’, and ‘SustainWare’ (TIFOS Framework). With PCMA model we analyzed PLM components and proposed mature content of each dimension, obtaining specific key performance indicators for each dimension. This work has been also useful to solve decision-making issues based on AHP methodology, such as: selecting the optimal PLM components in TIFOS Framework, obtaining the components ranking weight, getting components Maturity score, and comparing it with the actual situation to give constructive business suggestions. These business suggestions include strengths and weakness of PLM components and conducting selection of PLM components. Experimental studies have been conducted to verify Maturity scores for each component and to achieve component-ranking weights.
-
PLM Components Selection Based on a Maturity Assessment and AHP Methodology
Product Lifecycle Management for Society IFIP Advances in Information and Communication Technology, 2013Co-Authors: Technology Springer, Berlin Heidelberg, As Zhang, Antonio Mazza, Matteo Mario Savino, Yacine Ouzrout, Haiqing Zhang, Athanasios BourasAbstract:The benefits of Product Lifecycle Management (PLM) have been noted for improving business, creating collaboration, and reducing energy and time by making transcendent decisions through the process of product life cycle. This work aims to propose a PLM Components Maturity Assessment (PCMA) model to gain comprehensive Maturity results and reduce the complexity in obtaining Maturity scores. According to PLM functionalities, we divide PLM into fifteen components. PLM components can be cataloged into five main fields: „TechnoWare‟, „InforWare‟, „FunctionWare‟, „OrgaWare‟, and „SustainWare‟ (TIFOS Framework). With PCMA model we analyzed PLM components and proposed mature content of each dimension, obtaining specific key performance indicators for each dimension. This work has been also useful to solve decision-making issues based on AHP methodology, such as: selecting the optimal PLM components in TIFOS Framework, obtaining the components ranking weight, getting components Maturity score, and comparing it with the actual situation to give constructive business suggestions. These business suggestions include strengths and weakness of PLM components and conducting selection of PLM components. Experimental studies have been conducted to verify Maturity scores for each component and to achieve component-ranking weights.
