A Multi Product Multi Supplier Multi Period And Multi Price Discount Levels Supplier Selection And Order Allocation Model Under Demand Uncertainty
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Author | : Martins, Carlos |
Publisher | : IGI Global |
Total Pages | : 267 |
Release | : 2021-03-05 |
Genre | : Business & Economics |
ISBN | : 1799818454 |
The globalized economy, dominated by the diffusion of innovation and social, political, and economic changes, allows people and knowledge to flow without knowing what lies ahead. As new economies emerge and technologies impose significant changes, the internationalization of markets and industries has made defining its delimitation more difficult. Competitive Drivers for Improving Future Business Performance is a conceptualized reference source that discusses the use of digital skills to manage change in volatile contexts and provides fundamental understanding of competitive advantage to guarantee superior performances. To assure this level of performance, a set of choices (drivers) must be created ensuring operational efficiency, innovative products, customer knowledge-base, and focused branding. Featuring research on topics such as consumer experience, strategic leadership, and flexible technologies, this book is ideally designed for managers, executives, entrepreneurs, academicians, consulting professionals, researchers, industry professionals, and students seeking coverage on how to improve competitive performance in an era of uncertainty.
Author | : Dmitry Ivanov |
Publisher | : Springer |
Total Pages | : 332 |
Release | : 2017-11-07 |
Genre | : Business & Economics |
ISBN | : 3319693050 |
This book offers an introduction to structural dynamics, ripple effect and resilience in supply chain disruption risk management for larger audiences. In the management section, without relying heavily on mathematical derivations, the book offers state-of-the-art concepts and methods to tackle supply chain disruption risks and designing resilient supply chains in a simple, predictable format to make it easy to understand for students and professionals with both management and engineering background. In the technical section, the book constitutes structural dynamics control methods for supply chain management. Real-life problems are modelled and solved with the help of mathematical programming, discrete-event simulation, optimal control theory, and fuzzy logic. The book derives practical recommendations for management decision-making with disruption risk in the following areas: How to estimate the impact of possible disruptions on performance in the pro-active stage? How to generate efficient and effective stabilization and recovery policies? When does one failure trigger an adjacent set of failures? Which supply chain structures are particular sensitive to ripple effect? How to measure the disruption risks in the supply chain?
Author | : Vedran Kordic |
Publisher | : BoD – Books on Demand |
Total Pages | : 582 |
Release | : 2008-02-01 |
Genre | : Business & Economics |
ISBN | : 390261322X |
Traditionally supply chain management has meant factories, assembly lines, warehouses, transportation vehicles, and time sheets. Modern supply chain management is a highly complex, multidimensional problem set with virtually endless number of variables for optimization. An Internet enabled supply chain may have just-in-time delivery, precise inventory visibility, and up-to-the-minute distribution-tracking capabilities. Technology advances have enabled supply chains to become strategic weapons that can help avoid disasters, lower costs, and make money. From internal enterprise processes to external business transactions with suppliers, transporters, channels and end-users marks the wide range of challenges researchers have to handle. The aim of this book is at revealing and illustrating this diversity in terms of scientific and theoretical fundamentals, prevailing concepts as well as current practical applications.
Author | : Jiuping Xu |
Publisher | : Taylor & Francis |
Total Pages | : 186 |
Release | : 2023-12-22 |
Genre | : Business & Economics |
ISBN | : 1003830692 |
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.
Author | : K. Ganesh |
Publisher | : Emerald Group Publishing |
Total Pages | : 197 |
Release | : 2015-08-10 |
Genre | : Business & Economics |
ISBN | : 1785603981 |
Resource Allocation is the utilization of available resources in the system. This book focuses on development of models for 6 new, complex classes of RA problems in Supply Chain networks, focusing on bi-objectives, dynamic input data, and multiple performance measure based allocation and integrated allocation, and routing with complex constraints.
Author | : Florentin Smarandache |
Publisher | : Infinite Study |
Total Pages | : 487 |
Release | : 2021-10-19 |
Genre | : Antiques & Collectibles |
ISBN | : |
Papers on neutrosophic programming, neutrosophic hypersoft set, neutrosophic topological spaces, NeutroAlgebra, NeutroGeometry, AntiGeometry, NeutroNearRings, neutrosophic differential equations, etc.
Author | : Fausto Pedro García Márquez |
Publisher | : Springer Nature |
Total Pages | : 551 |
Release | : 2023-03-24 |
Genre | : Technology & Engineering |
ISBN | : 3031279158 |
This book presents the selected research works from the 16th International Conference on Industrial Engineering and Industrial Management in 2022. The conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by Ingenium Research Group at Universidad de Castilla-La Mancha, Spain, and it took place on July 7th and 8th, 2022, in Toledo, Spain. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on Industrial Engineering and Industrial Management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in Operations Management and in Decision Sciences.
Author | : Moritz Fleischmann |
Publisher | : Springer Science & Business Media |
Total Pages | : 181 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 364256691X |
Economic, marketing, and legislative considerations are increasingly leading companies to take back and recover their products after use. From a logistics perspective, these initiatives give rise to new goods flows from the user back to the producer. The management of these goods flows opposite to the traditional supply chain flows is addressed in the recently emerged field of Reverse Logistics. This monograph considers quantitative models that support decision making in Reverse Logistics. To this end, several recent case studies are reviewed. Moreover, first hand insight from a study on used electronic equipment is reported on. On this basis, logistics issues arising in the management of "reverse" goods flows are identified. Moreover, differences between Reverse Logistics and more traditional logistics contexts are highlighted. Finally, attention is paid to capturing the characteristics of Reverse Logistics in appropriate quantitative models.
Author | : Osvaldo Gervasi |
Publisher | : Springer |
Total Pages | : 1191 |
Release | : 2007-08-29 |
Genre | : Computers |
ISBN | : 354074472X |
This three-volume set constitutes the refereed proceedings of the International Conference on Computational Science and its Applications. These volumes feature outstanding papers that present a wealth of original research results in the field of computational science, from foundational issues in computer science and mathematics to advanced applications in almost all sciences that use computational techniques.
Author | : Tadeusz Sawik |
Publisher | : Springer |
Total Pages | : 467 |
Release | : 2021-05-30 |
Genre | : Business & Economics |
ISBN | : 9783030448165 |
This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address riskneutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on integrated disruption mitigation and recovery decision-making and innovative, computationally efficient multi-portfolio approach to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on realworld supply chain disruption management problems, illustrate the material presented and provide managerial insights. Many propositions formulated in the book lead to a deep understanding of the properties of developed stochastic mixed integer programs and optimal solutions. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into six main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply and demand portfolios and production and inventory scheduling, Part V deals with selection of resilient supply portfolio in multitier supply chain networks; and Part VI addresses selection of cybersecurity safequards portfolio for disruption management of information flows in supply chains.