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A leanness assessment methodology based on neutrosophic DEMATEL
Lean systems which provide the elimination of waste and increase productivity in both manufacturing and service systems are highly desired by the companies. Designing a lean system requires enormous amount of efforts and is time consuming unless the right steps are followed. The first step of lean implementation is the assessment of leanness which determines the status quo of the existing system with respect to leanness. In searching of a comprehensive evaluation method, this study aims to propose a leanness assessment methodology which is able to aid company’s lean transformation. This study mainly differs from the existing studies by taking into account a wide range of lean indicators with a comprehensively designed questionnaire and evaluating leanness via neutrosophic DEMATEL (The Decision Making Trial and Evaluation Laboratory) based scoring structure. The proposed methodology is applied in three companies. Moreover, sensitivity analysis concerning metrics and comparison with classic DEMATEL are performed.
Enhancing Competitive Advantage With Dynamic Management and Engineering
While many advances have been made in understanding the complexity of manufacturing and production engineering, the social and organizational context remains problematic due to the abstract nature of leadership and diverse personnel. Interdisciplinary perspectives to increase knowledge and understanding of engineering management and related processes are necessary in the industry. Enhancing Competitive Advantage With Dynamic Management and Engineering is an essential reference source containing scholarly research on the relevant theoretical frameworks and the latest empirical research findings of strategic administration in engineering. It also explores how to better merge, interrelationship organizations, management, and employee needs in order to increase efficiency, productivity, and profitability. Featuring coverage on a broad range of topics such as business process orientation, diversity management, and enterprise architecture, this book provides vital research for managers, researchers, engineers, and other professionals within engineering and production management.
Advances in Computational Intelligence, Part IV
These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and...
Industrial Engineering in the Covid-19 Era
This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held as a hybrid event on October 29–30, 2022, in/from Istanbul Technical University. Continuing the tradition of previous volumes, it highlights recent developments of industrial engineering at the purpose of using and managing digital and intelligent technologies for application to a wide range of field, including manufacturing, healthcare, e-commerce and sustainable development. A special emphasis is given to engineering methods and strategies for managing pandemics and reducing their adverse effects on businesses.
Advances in Computational Intelligence, Part II
These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and...
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasi...
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions
This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.
Control of Disinfection By-products in Drinking Water Systems
The occurrence of disinfection by-products (DBPs) in drinking water has been an issue of major concern during several decades. The formation of many DBPs species during water disinfection has been documented, while new by-products are still being detected, as the analytical instrumentation available becomes more accurate and sensitive. Most of the DBPs have been proven to have toxic effects on living organisms; therefore they pose risks to human health during drinking water consumption. The factors affecting their formation have been extensively investigated, their transport and fate have been studied, modelling efforts for several of them have been performed, in order to understand better t...
An Integrated Model with Interval Valued Neutrosophic Sets for the Selection of Lean and Sustainable Suppliers
Suppliers have a very important role in the supply chain (SC) and accordingly the evaluation and selection of the supplier is quite significant. The aim of this study is to develop a hybrid methodology for the determination of the best supplier considering lean and sustainable factors. However, the selection of sustainable suppliers often includes indeterminate, inconsistent and vague information due to the subjective nature of individual decisions. Interval-valued neutrosophic sets (IVNSs) have a considerable capability to deal with indeterminacy and vagueness in the decision-making process.
