Multi Criteria Decision Making Mcdm Model For Supplier Evaluation And Selection In The Supply Chain Management
Download Multi Criteria Decision Making Mcdm Model For Supplier Evaluation And Selection In The Supply Chain Management full books in PDF, epub, and Kindle. Read online free Multi Criteria Decision Making Mcdm Model For Supplier Evaluation And Selection In The Supply Chain Management ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Ke-Qin Wang |
Publisher | : Infinite Study |
Total Pages | : 17 |
Release | : |
Genre | : |
ISBN | : |
Nowadays, companies have to improve their practices in the management of green supply chain with increased awareness of environmental issues worldwide. Selecting the optimum green supplier is crucial for green supply chain management, which is a challenging multi-criteria decision making (MCDM) problem.
Author | : Chun-Ho Chen |
Publisher | : Infinite Study |
Total Pages | : 23 |
Release | : |
Genre | : Mathematics |
ISBN | : |
The TOPSIS method is extended with entropy-AHP weights, and entropy-AHP weights are used instead of subjective weights. A novel decision-making model of TOPSIS integrated entropy-AHP weights is proposed to select the appropriate supplier. Finally, we take the selection of building material suppliers as an example and use sensitivity analysis to show that the combination of the TOPSIS method based on entropy-AHP weights can effectively select the appropriate supplier.
Author | : Nguyen Van Thanh |
Publisher | : |
Total Pages | : 62 |
Release | : 2020-04-30 |
Genre | : Business & Economics |
ISBN | : 9781952751004 |
In a market economy, choosing a supplier is a strategic decision, directly affecting to the business performance of the businesses, choosing an effective suppliers to help businesses create high quality products, low cost, meeting the demand that customers' expect, and being able to aim for sustainable development in the future. The benefits of choosing the best suppliers help businesses gain a competitive advantage in the market. However, the process of selecting suppliers is very complicated, requiring decision makers to analyze and evaluate many qualitative and quantitative criteria are conflict together to get accurate results. Thus, this book presents a mathematical model to optimize supplier's selection process, with the aim of improving products quality, timely delivery, meeting the increasing demands of customers, and ensuring reduce production costs of products. In book, the author considered main criteria including financial criteria, delivery and services factors, qualitative criteria and environmental management systems.
Author | : Hu-Chen Liu |
Publisher | : Springer Nature |
Total Pages | : 366 |
Release | : 2021-03-22 |
Genre | : Business & Economics |
ISBN | : 9811603820 |
This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students.
Author | : Abbas Mardania |
Publisher | : Infinite Study |
Total Pages | : 41 |
Release | : |
Genre | : |
ISBN | : |
Energy management problems associated with rapid institutional, political, technical, ecological, social and economic development have been of critical concern to both national and local governments worldwide for many decades; thus, addressing such issues is a global priority.
Author | : Edmundas Kazimieras Zavadskas |
Publisher | : MDPI |
Total Pages | : 320 |
Release | : 2019-03-08 |
Genre | : Technology & Engineering |
ISBN | : 3038976423 |
Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators—65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.
Author | : Ruidong Zhang |
Publisher | : Academic Conferences Limited |
Total Pages | : 197 |
Release | : 2015-05-28 |
Genre | : Reference |
ISBN | : 191081007X |
Complete proceedings of the 5th International Conference on IS Management and Evaluation - Shaanxi, China Published by Academic Conferences and Publishing International Limited
Author | : Turan Paksoy |
Publisher | : CRC Press |
Total Pages | : 369 |
Release | : 2020-12-17 |
Genre | : Technology & Engineering |
ISBN | : 1000245101 |
Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.
Author | : Noorul Hassan Zardari |
Publisher | : Springer |
Total Pages | : 173 |
Release | : 2014-10-30 |
Genre | : Science |
ISBN | : 3319125869 |
This book provides a systematic way of how to make better decisions in water resources management. The applications of three weighting methods namely rating, ranking, and ratio are discussed in this book. Additionally, data mining on keywords is presented using three popular scholarly databases: Science Direct, Scopus, and SciVerse. Four abbreviated keywords (MCDM, MCDA, MCA, MADM) representing multi-criteria decision-making were used and these three databases were searched for different popular weighting methods for a period of 13 years (2000-2012). The book provides also a review of weighting methods applied in various multi-criteria decision-making (MCDM) methods and also presents survey results on priority ranking of watershed management criteria undertaken by 30 undergraduate and postgraduate students from the Faculty of Civil Engineering, Universiti Teknologi Malaysia.
Author | : Mei-Yun Quan |
Publisher | : Infinite Study |
Total Pages | : 14 |
Release | : |
Genre | : Mathematics |
ISBN | : |
With increasing global concerns toward environmental protection and sustainable development, green supply chain management (GSCM) has drawn much attention from academicians and practitioners. Selecting an optimal green supplier is a critical part of GSCM, which can be viewed as a kind of multi-criteria decision making (MCDM) problem. To derive the best result, large group of decision makers are often involved in the green supplier selection nowadays. Besides, decision makers tend to express their evaluations utilizing uncertain linguistic terms due to the vagueness of human thinking. Hence, this paper aims to propose a hybrid MCDM approach for green supplier selection within the large group setting. More concretely, interval-valued intuitionistic uncertain linguistic sets (IVIULSs) are applied for assessing the performance of green suppliers concerning each criterion. Ant colony algorithm is utilized to cluster decision makers into several subgroups. The linear programming technique for multidimensional analysis of preference (LINMAP) is adopted for the determination of the optimal weights of criteria objectively. Finally, an extended MULTIMOORA approach is utilized to generate the ranking of alternative suppliers. The practicality and usefulness of the developed large group green supplier selection framework is illustrated using an empirical example of a real estate company.