A quality management based on the Quality Model life cycle

Managing quality is a hard and expensive task that involves the execution and control of processes and techniques. For a good quality management, it is important to know the current state and the objective to be achieved. It is essential to take into account with a Quality Model that specifies the purposes of managing quality. QuEF (Quality Evaluation Framework) is a framework to manage quality in MDWE (Model-driven Web Engineering). This paper suggests managing quality but pointing out the Quality Model life cycle. The purpose is to converge toward a quality continuous improvement by means of reducing effort and time.Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-EJunta de Andalucía TIC-578

A Review on Life Cycle Management Approach on Asset Qualification

All equipment’s used in the production of products shall be properly Validated, Qualified and Calibrated to demonstrate that it is suitable for its intended purpose. Qualification is an important aspect of the pharmaceutical quality system. When the equipment is properly qualified, verified and maintained, there is the possibility of Consistent performance of the equipment. A well designed qualification program saves valuable time and cost. Qualification is called a cyclic process because it is a never ending process. Appropriate documentation of the qualification program is very important as lack of the documented evidence does not give any meaning to qualification (Not documented it means not done).  The current programs and procedures of equipment qualification used within any pharmaceutical and bioscience industry are based on ‘regulatory requirements’, ‘voluntary standards’, ‘vendor practices’, and ‘industry practices’. The output is considerable variation in the way any pharmaceutical and biotechnological companies approach for the laboratory equipment. The lifecycle management approach of equipment qualification covers entire life cycle for the specification, design, manufacturing, installation, commissioning, qualification (4Qs Model DQ, IQ, OQ, PQ), operation & maintenance of equipment in a risk based life cycle management approach. The goal of any regulated pharmaceutical and bioscience company is to provide reliable and valid data suitable for its intended purpose. Main goal of equipment qualification is to form the basis for written procedures for production and process control which are designed to assure that the drug products have the SISPQ (Safety, Identity, Strength, Purity and Quality) Keywords: Validation, Calibration, Life cycle management approach, Qualification (4Qs Model- DQ, IQ, OQ & PQ), SISPQ (Safety, Identity, Strength, Purity and Quality

Towards a Model-Centric Software Testing Life Cycle for Early and Consistent Testing Activities

The constant improvement of the available computing power nowadays enables the accomplishment of more and more complex tasks. The resulting implicit increase in the complexity of hardware and software solutions for realizing the desired functionality requires a constant improvement of the development methods used. On the one hand over the last decades the percentage of agile development practices, as well as testdriven development increases. On the other hand, this trend results in the need to reduce the complexity with suitable methods. At this point, the concept of abstraction comes into play, which manifests itself in model-based approaches such as MDSD or MBT. The thesis is motivated by the fact that the earliest possible detection and elimination of faults has a significant influence on product costs. Therefore, a holistic approach is developed in the context of model-driven development, which allows applying testing already in early phases and especially on the model artifacts, i.e. it provides a shift left of the testing activities. To comprehensively address the complexity problem, a modelcentric software testing life cycle is developed that maps the process steps and artifacts of classical testing to the model-level. Therefore, the conceptual basis is first created by putting the available model artifacts of all domains into context. In particular, structural mappings are specified across the included domain-specific model artifacts to establish a sufficient basis for all the process steps of the life cycle. Besides, a flexible metamodel including operational semantics is developed, which enables experts to carry out an abstract test execution on the modellevel. Based on this, approaches for test case management, automated test case generation, evaluation of test cases, and quality verification of test cases are developed. In the context of test case management, a mechanism is realized that enables the selection, prioritization, and reduction of Test Model artifacts usable for test case generation. I.e. a targeted set of test cases is generated satisfying quality criteria like coverage at the model-level. These quality requirements are accomplished by using a mutation-based analysis of the identified test cases, which builds on the model basis. As the last step of the model-centered software testing life cycle two approaches are presented, allowing an abstract execution of the test cases in the model context through structural analysis and a form of model interpretation concerning data flow information. All the approaches for accomplishing the problem are placed in the context of related work, as well as examined for their feasibility by of a prototypical implementation within the Architecture And Analysis Framework. Subsequently, the described approaches and their concepts are evaluated by qualitative as well as quantitative evaluation. Moreover, case studies show the practical applicability of the approach

A Post Establishment Analysis of Various Thinning Decisions for Black Walnut Plantations

In the Central Hardwood Region, the quantity and quality of hardwood timber critically depend on forest management decisions made by landowners. We fill a key gap in hardwood management by building a spatially explicit thinning model for black walnut to guide the first pre-commercial thin under user defined planting density, pre-establishment seedling survival and post establishment crop tree choices. We fmd that growth and yield of individual trees is influenced by multiple synergistic choices made during the pre-establishment and postestablishment phase. Later, we link our model with the Forest Vegetation Simulator (FVS) to project stand attributes under the impact of future thinning and harvest decisions. \Ve demonstrate a framework that could guide investments in hardwoods on private lands based on sound scientific evidence and tools that pinpoint forest management options over the plantation life cycle

Vision Sensor based Action Recognition for Improving Efficiency and Quality under the Environment of Industry 4.0

In the environment of industry 4.0, human beings are still an important influencing factor of efficiency and quality which are the core of product life cycle management. Hence, monitoring and analyzing humans\u27 actions are essential. This paper proposes a vision sensor based method to evaluate the accuracy of operators\u27 actions. Each action of operators is recognized in real time by a Convolutional Neural Network (CNN) based classification model in which hierarchical clustering is introduced to minimize the effects of action uncertainty. Warnings are triggered when incorrect actions occur in real time and applications of action analysis of workers on a reducer assembling line show the effectiveness of the proposed method. The research is expected to provide a guidance for operators to correct their actions to reduce the cost of quality defects and improve the efficiency of workforce

Quo vadis? How to measure the quality of local and regional development processes?

Today most activities which seem to be sound, cosy and helpful - or sometimes simply useful - are called ?sustainable'. Of course the requirements for measuring sustainability increased rapidly. Many different systems of indicators and conflicting opinions about the adequate approach characterise the present situation. Nevertheless we add another system with an specific approach to evaluate processes of local and regional development. In our opinion it is able notably to refer to the quality of the concept of sustainability. The basic system is threefold and bears analogy to the model of total quality management. We distinguish between: · The assessment of projects with respect to material, procedural and ethical implications. The conceptual framework is translated into an evaluation checklist to systematise the discussion of the character and general impact of a given project or programme. The methodology of this section has been presented at the 39th ERSA Congress 1999 in Dublin even and until now has been applied in different fields. · The assessment of development processes in terms of organisation, methodology, contents and legal demands. This section will be the main part of our presentation. · And the assessment of the state of the region which actually is a 'work in progress'. It will combine elements of 'top-down indicators, deduced from the international and national discussion of the CSD-scheme, with elements of regional specific indicators based on a bottom-up approach which defines regional specific goals of development according to a transdisciplinary approach of how to experience the local and regional space. Our methodology is based on self-evaluation and it can come into operation at an early stage accompanying the activities over the whole life cycle. The assessment of development processes is to be done from the local and regional actors for themselves, accompanied by scientific experts. It depends on four principles: · The people concerned are the experts. They get involved in learning processes. · The focus of the assessment is on credibility and transparency. · Development processes need a minimum of quality. The standard is fixed. · The quality management can be used in a flexible way to allow the assessment of different processes according to the communities main focus. The whole project of quality management is closely coupled with the regional Agenda 21 in the Lake of Constance- region as it has been shown eat the 40th ERSA Congress 2000 in Barcelona. Together with the network of 13 regional contact points in Switzerland, Austria, Germany and the Principality of Liechtenstein the different sections has been discussed and field-tested. 437 words Key words: sustainability, Agenda 21, quality management, development processes, transdisciplinarity

Application of BIM in sustainability analysis

Building Information Modeling (BIM) is the process of generating and managing building data during its life cycle. Typically it uses three-dimensional, real-time, dynamic building modeling software to increase productivity in building design and construction. The process produces the Building Information Model, which encompasses building geometry, spatial relationships, geographic information, quantities and properties of building components. On the other hand, Green Building Index (GBI) as the localized sustainability building rating system in Malaysia assesses the impact of building on environment based on energy efficiency, indoor environment quality, sustainable site & management, materials & resources, water efficiency and innovation. By integrating GBI assessment criteria with BIM technology, this research proposes a comparative case study analysis of Residential New Construction (RNC) and Non-Residential New Construction (NRNC) based on the Autodesk Ecotect Analysis software (a comprehensive, concept-to-detail sustainable design analysis tool that provides a wide range of simulation and analysis functionality through desktop and web-service platforms) and Autodesk Green Building Studio (A web-based energy analysis service which performs whole building analysis, optimizes energy efficiency, and works toward carbon neutrality earlier in the design process) to investigate the influence of construction material on energy consumption, lifecycle energy cost and carbon emission

Life cycle modelling of environmental impacts of application of processed organic municipal solid waste on agricultural land (EASEWASTE)

A model capable of quantifying the potential environmental impacts of agricultural application of composted or anaerobically digested source-separated organic municipal solid waste (MSW) is presented. In addition to the direct impacts, the model accounts for savings by avoiding the production and use of commercial fertilizers. The model is part of a larger model, Environmental Assessment of Solid Waste Systems and Technology (EASEWASTE), developed as a decisionsupport model, focusing on assessment of alternative waste management options. The environmental impacts of the land application of processed organic waste are quantified by emission coefficients referring to the composition of the processed waste and related to specific crop rotation as well as soil type. The model contains several default parameters based on literature data, field experiments and modelling by the agro-ecosystem model, Daisy. All data can be modified by the user allowing application of the model to other situations. A case study including four scenarios was performed to illustrate the use of the model. One tonne of nitrogen in composted and anaerobically digested MSW was applied as fertilizer to loamy and sandy soil at a plant farm in western Denmark. Application of the processed organic waste mainly affected the environmental impact categories global warming (0.4–0.7 PE), acidification (–0.06 (saving)–1.6 PE), nutrient enrichment (–1.0 (saving)–3.1 PE), and toxicity. The main contributors to these categories were nitrous oxide formation (global warming), ammonia volatilization (acidification and nutrient enrichment), nitrate losses (nutrient enrichment and groundwater contamination), and heavy metal input to soil (toxicity potentials). The local agricultural conditions as well as the composition of the processed MSW showed large influence on the environmental impacts. A range of benefits, mainly related to improved soil quality from long-term application of the processed organic waste, could not be generally quantified with respect to the chosen life cycle assessment impact categories and were therefore not included in the model. These effects should be considered in conjunction with the results of the life cycle assessment

Supply Chain Management Model of Wood Biomass Producing Hydrogen Fuel for Malaysia’s Electricity Industry

Green energy is becoming an important aspect of every country in the world toward energy security by reducing dependence on fossil fuel import and enhancing better life quality by living in the healthy environment. This article analyses available literature as approach toward determining physical flows characteristic of waste wood biomass in high scale plantation toward producing gas fuel for electricity using gasification technique. The aim of this study is to develop a conceptual supply chain management model of syngas fuel from wood waste biomass using direct gasification conversion technology. Literature review on energy security, Malaysias energy mix, Biomass supply chain management and processing technology. This paper uses the theoretical model of transportation (Lumsden, 2006) and the function of the terminal (Hulten, 1997) for research purpose. The theoretical framework used to answer the research questions are Supply Chain Operations Reference (SCOR) framework and Sustainable strategy development in supply chain management framework. To incorporate biomass unique properties, Biomass Element Life Cycle Analysis (BELCA) which is a novel technique develop used to understand the behaviour of biomass supply based on biomasss elements