Purpose: The purpose of this paper is to promote the integration of sustainable development concepts and conceptual models in engineering research, and therefore, to enhance sustainability of research models. Particularly, the concepts are integrated with an integrated theoretical model of knowledge management and DMAIC (Define-Measure-Analysis-Improve-Control) process.
Methodology: Based on literature, the key concepts of sustainable development, knowledge management, Ontology and DMAIC methodology have been reviewed. A theoretical combination of knowledge management, ontology engineering, and DMAIC methodology is to aim at accumulating and reusing a potential economic resource, knowledge resource. An analysis of sustainable aspects of a proposed model is presented.
Important findings: As literature expressed that knowledge created by every step of a DMAIC process can be accumulated and reused by using Ontology in a conceptual model. Furthermore, sustainable aspects of the model such as economy, environment and society are identified.
Conclusion: DMAIC knowledge is a potential economic resource that should be shared and reused using Ontology engineering in order to archive sustainable development of DMAIC process. Theoretical integration of seven sustainable measures with activities of knowledge management is possible and realizable.
DMAIC (Define, Measure, Analyze, Improve, and Control) is an important process used to enhance quality of processes basing on knowledge. However, it is difficult to access DMAIC knowledge. Conventional approaches meet a problem arising from structuring and reusing DMAIC knowledge. The main reason is that DMAIC knowledge is not represented and organized systematically. In this article, we overcome the problem basing on a conceptual model that is a combination of DMAIC process, knowledge management, and Ontology engineering. The main idea of our model is to utilizing Ontologies to represent knowledge generated by each of DMAIC phases. We build five different knowledge bases for storing all knowledge of DMAIC phases with the support of necessary tools and appropriate techniques in Information Technology area. Consequently, these knowledge bases provide knowledge available to experts, managers, and web users during or after DMAIC execution in order to share and reuse existing knowledge.
Clusters represent one of the defining elements of the Europe 2020 Strategy of the EU in terms of sustainable regional development due to the organizational structure, to the sphere of representativity and, not least, due to the economic policies adopted in this respect at the European level. The present paper presents the manner in which one can design a cluster-type collaborative model, specific for defence, using methods specific to modeling. The basis for the achievement of this conceptual model is the model of the cluster life cycle, a model analog to the life cycle of the product.
The purpose of lean managements is to create and determine value and eliminate all non-value added activities. The idea of lean in the current manufacturing environment is to work and produce from the customer's perspective, and therefore to define value as a variable directly depending on the consumer of the good or service. Basically, lean is concerned with creating more value with fewer resources. LM (lean manufacturing) allows organizations to prosper in the marketplace being able to price competitively or invest in the development of products for future sustainability. Reducing the amount of waste, in example defective products, increases profits resulting in greater overall efficiencies. This paper analyses the risk factors which can hinder having a successful LM within an organization. The core focus of this study lies in discussing the risk factors in regards to human resources which can hinder organizations to successfully implement LM. Through a thorough literature and study review, the paper underlines the importance of a lean organizational culture and management. The lack of alignment of these two areas with the LM implementation will result in turning them from being the strongest implementation KPIs into being the highest risk factors and barriers for the company.
This paper aims to analyse the actual state of research in the field of supply chain management and to identify eventual gaps of knowledge and potential research directions in the field concerned. The research has been accomplished using various bibliographical sources, books, scientific reports, internal reports and information material. This paper analyses different national and international studies in the field of supply chain management, converge to identify eventual differences concerning authors’ opinion, problems and research gaps. It has been found that the specialty literature analyses in general subjects such as supply chain management, supplier performance, suppliers’ selection and evaluation, suppliers’ development, performance management and do not take into consideration also the supply chain management performance, so that various gaps concerning the specialty literature in the field of supply chain management performance evaluation have been identified. It is thus proposed that these research results are disseminated with the aid of a knowledge transfer eLearning platform within the “Lucian Blaga” University of Sibiu. This platform allows university personnel and its students gain access to specific academic findings.
Quality techniques and Design for Six Sigma methodology are complex areas that need to be understood through correlation of theoretical and practical teaching. Universities started to apply different approaches for achieving better results, on building greater knowledge and skills for their students. The paper presents a methodology of teaching quality techniques and DFSS methodology, an approach that is focused on understanding the concepts through technical examples from industry and applying the knowledge within a project. A model is proposed for teaching Design for Six Sigma methodology through a workshop done in the classroom. The students are split into groups and will practically work through the main elements of DFSS methodology, for improving the quality of a chosen product by re-designing it. The objective of research is to analyze the performance of this methodology and to identify the strong points. The measurement is done through feedbacks received from students, that is presented at the end of the paper. The methodologies used during research consist of bibliographic research, observational study on classroom, questionnaire and interview technique.
The purpose of this paper is to review the different models which integrate Six Sigma and Knowledge Management (KM) approaches and also to identify the advantages and disadvantages of those models. Based on literature, the available Six Sigma and KM models have been reviewed. All the models have been critically analysed according to their structure and end users and finally the advantages and disadvantages are enlisted. The Overview expressed that more or less every model has been proposed aiming to the specific endues and each model has both strength and weakness for application to all sectors. In this article, the advantages and disadvantages of existing Six Sigma-KM models have been identified. This study may offer some guidance to find new directions to eliminate the week points of those models by introducing new ideas and methodologies
Gabriela Simona Cândea, Claudiu Vasile Kifor and Ciprian Cândea
This paper presents innovative usage of knowledge system into Failure Mode and Effects Analysis (FMEA) process using the ontology to represent the knowledge. Knowledge system is built to serve multi-projects work that nowadays are in place in any manufacturing or services provider, and knowledge must be retained and reused at the company level and not only at project level. The system is following the FMEA methodology and the validation of the concept is compliant with the automotive industry standards published by Automotive Industry Action Group, and not only. Collaboration is assured trough web-based GUI that supports multiple users access at any time
Claudiu Vasile Kifor, Magdalena Crângaău, Alina Lungu and Baral Lal Mohan
The term “research evaluation” defines the endeavours of quantitative and/or qualitative analysis of the research results, performed by a research unit (e.g.: department, centre, research school). Among the decisions based on the evaluation’s results, the most important are formulation of strategies and funding. The decision-factors in higher education require a broad range of information to help build policies, to allow strategies development. This information is used for marketing purposes: helps at recruiting students and researchers, at establishing research partnerships and supports philanthropic liaisons. The research presented in the paper addressed for the first time the researcher view in the research evaluation process and can be used by policies makers if combined with stakeholders’ view (funding agencies, industry etc.) in order to have a realistic view on priorities in this field at national level.
Alina Mihaela Fagateanu, Sergiu Ştefan Nicolaescu and Claudiu Vasile Kifor
We live in a dynamic world that is constantly changing in order to lighten our daily activities. All changes made must meet several conditions, most of them having a direct relationship with the environment and are applicable for more than one person. Considering that in this moment the standard for environment protection has passed the review period and will be published in the near future, the present article aims to highlight the most important changes from the new version of ISO / DIS 14001: 2015. The information is structured for the organizations which holds the old version ISO 14001: 2004, so, the necessary steps to follow can be easily understood while moving totally to the new version.