A Possibility Distribution Based Multi Criteria Decision Algorithm For Resilient Supplier Selection Problems
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A Possibility Distribution Based Multi-Criteria Decision Algorithm for Resilient Supplier Selection Problems by Dizuo Jiang,Tasnim Ibn Faiz,Mahmudul Hassan,Noor-E-Alam Pdf
Resilient supplier selection problem is a key decision problem for an organization to gain competitive advantage. In the presence of multiple conflicting evaluation criteria, contradicting decision makers, and imprecise information sources, this problem becomes even more difficult to solve with the classical optimization approaches.
Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches by Jiuping Xu,Mitsuo Gen,Zongmin Li,YoungSu Yun Pdf
This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management.
TOPSIS and its Extensions: A Distance-Based MCDM Approach by Hsu-Shih Shih,David L. Olson Pdf
The objective of the book is to provide materials to demonstrate the development of TOPSIS and to serve as a handbook. It contains the basic process of TOPSIS, numerous variant processes, property explanations, theoretical developments, and illustrative examples with real-world cases. Possible readers would be graduate students, researchers, analysts, and professionals who are interested in TOPSIS, a distance-based algorithm, and who would like to compare TOPSIS with other MCDM methods. The book serves as a research reference as well as a self-learning book with step-by-step illustrations for the MCDM community.
Advances in Best-Worst Method by Jafar Rezaei,Matteo Brunelli,Majid Mohammadi Pdf
This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.
Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method by Ke-Qin Wang ,Hu-Chen Liu , Liping Liu ,Jia Huang Pdf
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.
A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS by Chun-Ho Chen Pdf
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.
Multi-Criteria Decision Making (MCDM) Model for Supplier Evaluation and Selection in the Supply Chain Management by Nguyen Van Thanh Pdf
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.
Igor (US Army Engineer Research and Development Linkov, Brookline Massachusetts USA),Igor Linkov,Emily (Massachusetts Institute of Technology Moberg, USA),Emily Moberg,Benjamin D. Trump,Boris Yatsalo,Jeffrey M. Keisler
Author : Igor (US Army Engineer Research and Development Linkov, Brookline Massachusetts USA),Igor Linkov,Emily (Massachusetts Institute of Technology Moberg, USA),Emily Moberg,Benjamin D. Trump,Boris Yatsalo,Jeffrey M. Keisler Publisher : CRC Press Page : 0 pages File Size : 43,8 Mb Release : 2023-05-31 Category : Electronic ISBN : 0367544385
Multi-Criteria Decision Analysis by Igor (US Army Engineer Research and Development Linkov, Brookline Massachusetts USA),Igor Linkov,Emily (Massachusetts Institute of Technology Moberg, USA),Emily Moberg,Benjamin D. Trump,Boris Yatsalo,Jeffrey M. Keisler Pdf
This thoroughly updated second edition provides seven additional new case studies focused on sustainability. Combining applications using MCDA methodologies with free DECERNS software package, this book is a great resource for professionals and students in learning and applying similar frameworks to other environmental projects.
Decision-Making for Sustainable Transport and Mobility by Cathy Macharis,Gino Baudry Pdf
Multi-Actor Multi-Criteria Analysis (MAMCA) developed by Professor Cathy Macharis enables decision-makers within the sectors of transport, mobility and logistics to account for conflicting stakeholder interests. This book draws on 15 years of research and application during which MAMCA has been deployed to support sustainable decisions within the transport and mobility sectors.
Multiple Criteria Decision Making in Supply Chain Management by A. Ravi Ravindran Pdf
Supply chain management decisions are made under the conflicting criteria of maximizing profit and customer responsiveness while minimizing supply chain risk. Multiple Criteria Decision Making in Supply Chain Management provides a comprehensive overview of multi-criteria optimization models and methods that can be used in supply chain decision making. Presenting the contributions of internationally known authors, researchers, educators, and practitioners, this new book in the Operations Research Series provides readers with a single source guide to recent developments in this area. The focus of the book is on the design and operation of the supply chain system, which involves connecting many production and distribution systems, often across wide geographic distances, in such a way that the businesses involved can ultimately satisfy the consumer demand as efficiently as possible, resulting in maximum financial returns to those businesses connected to that supply chain system. The book includes several case studies on the design and operation of supply chain networks in manufacturing and healthcare.
Multi-Objective Decision Making by Diederik M. Zhou,Shimon Hamilton Pdf
Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs). First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems. Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting. Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.
Green Supplier Evaluation and Selection: Models, Methods and Applications by Hu-Chen Liu,Xiao-Yue You Pdf
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.
A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan by Muhammad Junaid,Ye Xue,Muzzammil Wasim Syed,Ji Zu Li,Muhammad Ziaullah Pdf
This study aims at identifying and assessing supply chain risks and developing criteria for managing these risks.
Multi-Criteria Methods and Techniques Applied to Supply Chain Management by Valerio Salomon Pdf
This book intends to be a complimentary reference for graduate and undergraduate courses of Business and Engineering. Readers not familiar with Multi-Criteria Decision Making (MCDM) and supply chain management (SCM) may have a first glance, reading isolate chapters. Moreover, the sequential order from Chapters 1 to 8 may be more instructive. Readers with expertise on MCDM or SCM will find interesting applications or proposals. The book also presents a systematic literature review, which confirms the leadership of analytic hierarchy process (AHP) and data envelopment analysis (DEA).
Vulnerability to sudden supply chain disruption is one of the major threats facing companies today. The challenge for businesses today is to mitigate this risk through creating resilient supply chains. Addressing this need, Supply Chain Risk Management guides you through the whole risk management process from start to finish. Using jargon-free language, this accessible book covers the fundamentals of managing risk in supply chains. From identifying the risks to developing and implementing a risk management strategy, this essential text covers everything you need to know about this critical topic. It assesses the growing impact of risk on supply chains, how to plan for and manage disruptions and disasters, and how to mitigate their effects. It examines a whole range of risks to supply chains, from traffic congestion to major environmental disasters. Highly practical, Supply Chain Risk Management provides a range of useful tables, diagrams and tools and is interspersed with real life case study examples from leading companies, including Nokia, IBM, and BP. The 2nd edition has been completely revised with brand new case studies on the Chilean Mining Disaster and BP oil spill.