Download or read book Applications of Stochastic Inventory Control in Market making and Robust Supply Chains written by Miao Song (Ph. D.) and published by . This book was released on 2010 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation extends the classical inventory control model to address stochastic inventory control problems raised in market-making and robust supply chains. In the financial market, market-makers assume the role of a counterpart so that investors can trade any fixed amounts of assets at quoted bid or ask prices at any time. Market-makers benefit from the spread between the bid and ask prices. but they have to carry inventories of assets which expose them to potential losses when the market price moves in an undesirable direction. One approach to reduce the risk associated with price uncertainty is to actively trade with other Market-Makers at the price of losing potential spread gain. We propose a dynamic programming model to determine the optimal active trading quantity., which maximizes the Market-Maker's expected utility. For a single-asset model. we show that a threshold inventory control policy is optimal with respect to both an exponential utility criterion and a mean-variance tradeoff objective. Special properties such as symmetry and monotonicity of the threshold levels are also investigated. For a multiple-asset model. the mean-variance analysis suggests that there exists a connected no-trade region such that the Market-Maker does not need to actively trade with other market-makers if the inventory falls in the no-trade region. Outside the no-trade region. the optimal way to adjust inventory levels can be obtained from the boundaries of the no-trade region. These properties of the optimal policy lead to practically efficient algorithms to solve the problem. The dissertation also considers the stochastic inventory control model in robust supply chain systems. Traditional approaches in inventory control first estimate the demand distribution among a predefined family of distributions based on data fitting of historical demand observations, and then optimize the inventory control policy using the estimated distributions. which often leads to fragile solutions in case the preselected family of distributions was inadequate. In this work. we propose a minimax robust model that integrates data fitting and inventory optimization for the single item multi-period periodic review stochastic lot-sizing problem. Unlike the classical stochastic inventory models, where demand distribution is known, we assume that histograms are part of the input. The robust model generalizes Bayesian model, and it can be interpreted as minimizing history dependent risk measures. We prove that the optimal inventory control policies of the robust model share the same structure as the traditional stochastic dynamic programming counterpart. In particular., we analyze the robust models based on the chi-square goodness-of-fit test. If demand samples are obtained from a known distribution, the robust model converges to the stochastic model with true distribution under general conditions.

Download or read book Optimal Control and Optimization of Stochastic Supply Chain Systems written by Dong-Ping Song and published by Springer Science & Business Media. This book was released on 2012-11-29 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and tables are provided, to demonstrate the structural characteristics of the optimal control policies in various stochastic supply chains and to show how to make use of these characteristics to construct easy-to-operate sub-optimal policies. In Part I, a general introduction to stochastic supply chain systems is provided. Analytical models for various stochastic supply chain systems are formulated and analysed in Part II. In Part III the structural knowledge of the optimal control policies obtained in Part II is utilized to construct easy-to-operate sub-optimal control policies for various stochastic supply chain systems accordingly. Finally, Part IV discusses the optimisation of threshold-type control policies and their robustness. A key feature of the book is its tying together of the complex analytical models produced by the requirements of operational practice, and the simple solutions needed for implementation. The analytical models and theoretical analysis propounded in this monograph will be of benefit to academic researchers and graduate students looking at logistics and supply chain management from standpoints in operations research or industrial, manufacturing, or control engineering. The practical tools and solutions and the qualitative insights into the ideas underlying functional supply chain systems will be of similar use to readers from more industrially-based backgrounds.

Download or read book Optimization and Inventory Management written by Nita H. Shah and published by Springer Nature. This book was released on 2019-08-31 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.

Download or read book Supply Chain Disruption Management Using Stochastic Mixed Integer Programming written by Tadeusz Sawik and published by Springer. This book was released on 2017-06-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches 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 real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. 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 five 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 scheduling; and Part V addresses disruption management of information flows in supply chains.

Download or read book Inventory Control of Large Scale Multi Item System with Minimum Order Quantity Constraint and Non Stationary Demand written by Gaetan Deletoille and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We consider a large scale multi-item periodic-review stochastic inventory system with Minimum Order Quantity (MOQ) requirements on the total order size of all items. The item demands are stochastic and non-stationary. The retailer must decide at each time period whether and how many of each item to order from the supplier. The goal is to maximize the reward generated by satisfying the end customers demands while minimizing the costs of holding unsold inventory. We introduce a parameterized heuristic, the w-policy, that relies on our detailed analysis of the problem.We demonstrate the scalability of this heuristic up to ten thousand items, which is unmatched in the literature on the non-stationary demand version of the MOQ problem. The results of our numerical study on large scale real world data sets exhibit the efficiency of the w-policy in these challenging settings. Moreover, our numerical study shows that the w-policy performs at least as well as the state-of-the-art method (S,T) on the simplified problem when the demand is considered stationary, while being more robust in a real supply chain environment.Our results therefore indicate that the w-policy is more robust, has a larger scope of applicability, and is significantly more scalable than state of the art methods for multi-item stochastic inventory control with MOQ requirements.

Download or read book Risk Analysis in Stochastic Supply Chains written by Tsan-Ming Choi and published by Springer Science & Business Media. This book was released on 2012-06-05 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened for research attempting to explore risk analysis issues in supply chain management problems, while the majority of recent papers focus on conceptual framework or computational numerical analysis. Pioneered by Nobel laureate Markowitz in the 1950s, the mean-risk (MR) formulation became a fundamental theory for risk management in finance. Despite the significance and popularity of MR-related approaches in finance, their applications in studying multi-echelon supply chain management problems have only been seriously explored in recent years. While the MR approach has already been shown to be useful in conducting risk analysis in stochastic supply chain models, there is no comprehensive reference source that provides the state-of-the-art findings on this important model for supply chain management. Thus it is significant to have a book that reviews and extends the MR related works for supply chain risk analysis. This book is organized into five chapters. Chapter 1 introduces the topic, offers a timely review of various related areas, and explains why the MR approach is important for conducting supply chain risk analysis. Chapter 2 examines the single period inventory model with the mean-variance and mean-semi-deviation approaches. Extensive discussions on the efficient frontiers are also reported. Chapter 3 explores the infinite horizon multi-period inventory model with a mean-variance approach. Chapter 4 investigates the supply chain coordination problem with a versatile target sales rebate contract and a risk averse retailer possessing the mean-variance optimization objective. Chapter 5 concludes the book and discusses various promising future research directions and extensions. Every chapter can be taken as a self-contained article, and the notation within each chapter is consistently employed.

Download or read book Stochastic optimization methods for supply chains with perishable products written by Michael A. Völkel and published by Logos Verlag Berlin GmbH. This book was released on 2020-07-03 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with inventory systems in supply chains that face risks that could render products unsalable. These risks include possible cooling system failures, transportation risks, packaging errors, handling errors, or natural quality deterioration over time like spoilage of food or blood products. Classical supply chain inventory models do not regard these risks. This thesis introduces novel cost models that consider these risks. It also analyzes how real-time tracking with RFID sensors and smart containers can contribute to decision making. To solve these cost models, this work presents new solution methods based on dynamic programming. In extensive computational studies both with experimental as well as real-life data from large players in the retailer industry, the solution methods prove to lead to substantially lower costs than existing solution methods and heuristics.

Download or read book Inventory Control written by Sven Axsäter and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modem information technology has created new possibilities for more sophisticated and efficient control of supply chains. Most organizations can reduce their material flow costs substantially. Inventory control techniques are very important components in this development process. A thorough understanding of relevant inventory models is a prerequisite for successful implementation. I hope that this book will be a useful tool in acquiring such an understanding. Nearly ten years ago I wrote a Swedish book on inventory control. This previous book has been used in courses in production and inventory control at several Swed ish engineering schools and has also been appreciated by many practitioners in the field. Positive reactions from many readers have occasionally made me contemplate writing a new book in English on the same subject. Encouraging support of this idea from the Kluwer Editors Fred Hillier and Gary Folven finally convinced me to go ahead with the project. The result is this new book, which in many ways differs from its Swedish prede cessor. Some differences are due to recent developments in inventory control. Fur thermore, this new book is in a sense more theoretical. In particular, it is to a larger extent focused on creating a good basic understanding of different possible ap proaches when analyzing inventory models.

Download or read book Handbook of EOQ Inventory Problems written by Tsan-Ming Jason Choi and published by Springer. This book was released on 2013-08-17 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Economic Order Quantity (EOQ) inventory model first appeared in 1913, and in its centennial, it is still one of the most important inventory models. Despite the abundance of both classical and new research results, there was (until now) no comprehensive reference source that provides the state-of-the-art findings on both theoretical and applied research on the EOQ and its related models. This edited handbook puts together all these interesting works and the respective insights into an edited volume. The handbook contains papers which explore both the deterministic and the stochastic EOQ-model based problems and applications. It is organized into three parts: Part I presents three papers that provide an introduction and review of various EOQ related models. Part II includes four technical analyses on single-echelon EOQ-model based inventory problems. Part III consists of five papers on applications of the EOQ model for multi-echelon supply chain inventory analysis.

Download or read book Application of Optimization in Production Logistics Inventory Supply Chain Management and Block Chain written by Biswajit Sarkar and published by MDPI. This book was released on 2020-04-23 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.

Download or read book Inventory Control Models with Motivational Policies written by Ata Allah Taleizadeh and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the different motivational policies used for inventory management. In many competitive markets, sellers use motivational policies to encourage the customers to buy more and these kinds of strategies are used as competitive tools. This book brings together all the motivational policies for lot sizing decisions and offers a useful guide for inventory control. Each chapter applies deterministic inventory models such as economic order quantity (EOQ) and economic production quantity (EPQ), but also stochastic models for the motivational policy covered. The book begins exploring quantity discounts such as all-unit and incremental discounts. It then looks at delayed payment or trade credit policies that are applied by many suppliers and/or wholesalers to increase their sales. The motivational policies covered in the following chapters are dedicated to advance payment/prepayment schemes and also special sales offered by retailers to increase sales levels or decrease the inventory level. Finally the book concludes with a review of announced price increases, which persuades customers to buy a product at the current price, rather than paying more for it in the future. Inventory Control Models with Motivational Policies should be useful for professionals working on supply chains, but also researchers in operations research and inventory management.

Download or read book Management of Stochastic Demand in Make to Stock Manufacturing written by Rainer Quante and published by Peter Lang. This book was released on 2009 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up to now, demand fulfillment in make-to-stock manufacturing is usually handled by advanced planning systems. Orders are fulfilled on the basis of simple rules or deterministic planning approaches not taking into account demand fluctuations. The consideration of different customer classes as it is often done today requires more sophisticated approaches explicitly considering stochastic influences. This book reviews current literature, presents a framework that addresses revenue management and demand fulfillment at once and introduces new stochastic approaches for demand fulfillment in make-to-stock manufacturing based on the ideas of the revenue management literature.

Download or read book Inventory Management Demystified written by A.D. Dear and published by Springer Science & Business Media. This book was released on 1990-02-28 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the widespread use of computer based inventory control systems, most companies are aware that they often cannot meet their customer demand, while still suspecting that their stock levels are higher than they should be.

Download or read book Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains written by J. George Shanthikumar and published by Springer Science & Business Media. This book was released on 2003-07-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Editors have taken the occasion of Professor John A. Buzacott's retirement as a motivating event to develop this volume. The objectives of Stochastic Modeling And Optimization Of Manufacturing Systems And Supply Chains is to both honor John Buzacott's achievements and to publish a set of well-written chapters on highly timely topics in the field of manufacturing and supply chain management. The book is organized into two parts. The first part focuses on aspects of manufacturing systems modeling. This part includes chapters on the evolution of manufacturing systems modeling, queuing network models and related software technologies, two-moment approximation for fork/join queues, and asymptotic optimality of a scheduling policy. (Midwest).

Download or read book Information Technologies Methods and Techniques of Supply Chain Management written by Wang, John and published by IGI Global. This book was released on 2012-04-30 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book has compiled chapters from experts from around the world in the field of supply chain management and provides a vital compendium of the latest research, case studies, frameworks, methodologies, architectures, and best practices within the field of supply chain management"--Provided by publisher.

Download or read book Supply Chain Risk Management in the Apparel Industry written by Peter Cheng and published by Routledge. This book was released on 2018-05-11 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apparel is one of the oldest and largest export industries in the world. It is also one of the most global industries because most nations produce for the international textile and apparel market. The changing global landscape drives cost volatility, regulatory risk and change in consumer preference. In today’s retail landscape, media and advocacy groups have focussed attention on social and environmental issues, as well as new regulatory requirements and stricter legislations. Understanding and managing any risk within the supply chain, particularly ethical and responsible sourcing, has become increasingly critical. This book first gives a systematic introduction to the evolution of SCRM through literature review and discusses the importance of SCRM in the apparel industry. Second, it describes the life cycle of the apparel supply chain and defines the different roles of the value chain in the apparel industry. Thirdly, it identifies the risk factors in the Apparel Life Cycle and analyses the risk sources and consequences and finally, extends the importance of selection of the suppliers and develops a supplier selection model and SCRM strategies solution by data analysis and case studies.

Download or read book Foundations of Stochastic Inventory Theory written by Evan Porteus and published by . This book was released on 2022 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1958, Stanford University Press published Studies in the Mathematical Theory of Inventory and Production (edited by Kenneth J. Arrow, Samuel Karlin, and Herbert Scarf), which became the pioneering road map for the next forty years of research in this area. One of the outgrowths of this research was development of the field of supply-chain management, which deals with the ways organizations can achieve competitive advantage by coordinating the activities involved in creating products--including designing, procuring, transforming, moving, storing, selling, providing after-sales service, and recycling. Following in this tradition, Foundations of Stochastic Inventory Theory has a dual purpose, serving as an advanced textbook designed to prepare doctoral students to do research on the mathematical foundations of inventory theory and as a reference work for those already engaged in such research. The author begins by presenting two basic inventory models: the economic order quantity model, which deals with "cycle stocks," and the newsvendor model, which deals with "safety stocks." He then describes foundational concepts, methods, and tools that prepare the reader to analyze inventory problems in which uncertainty plays a key role. Dynamic optimization is an important part of this preparation, which emphasizes insights gained from studying the role of uncertainty, rather than focusing on the derivation of numerical solutions and algorithms (with the exception of two chapters on computational issues in infinite-horizon models). All fourteen chapters in the book, and four of the five appendixes, conclude with exercises that either solidify or extend the concepts introduced. Some of these exercises have served as Ph.D. qualifying examination questions in the Operations, Information, and Technology area of the Stanford Graduate School of Business.