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This paper treats a two-echelon inventory system. The higher echelon is a single location reffered to as the depot, which places orders for supply of a single com modity. The lower echelon consists of several points, called the retailers, which are supplied by shipments from the depot, and at which random demands for the item occur. Stocks are reviewed and decisions are made periodically. Orders and/or shipments may each require a fixed lead time before reaching their respective desti nations. Section II gives a short literature review of distribution research. Section III introduces the multi-echelon distribution system together with the underlying as sumptions and gives a description of how this problem can be viewed as a Markovian Decision Process. Section IV discusses the concept of cost modifications in a distribution context. Section V presents the test-examples together with their optimal solutions and also gives the characteristic properties of these optimal solutions. These properties then will be used in section VI to give adapted ver sions of various heuristics which were used in assembly experiments previously and which will be tested against the test-examples.
"This book presents relevant theoretical frameworks and most recent research findings in this area, providing significant theories for research students and scholars to carry out their continuous research as well as practitioners who aim to improve upon their understanding of distributed production planning"--
Hierarchical and Supply Chain Planning describes the application of hierarchical planning techniques to all major functional areas of supply chain planning, including production, distribution, warehousing, transportation, inventory management, forecasting and performance management. The book reviews well-known, original hierarchical production planning techniques and implementations dating back several decades and numerous more current hierarchical planning methods and applications covering an array of supply chain activities. A number of novel hierarchical planning techniques and algorithms covering different components of supply chain planning are offered as is an original approach for integrating supply chain measurements into systems such as the balanced scorecard which evaluate total firm performance. The book covers the interests of private industry practitioners, academic researchers, and students of operations, logistics and supply chain management and planning.
This two-volume set presents selected and revised papers from the 10th International Conference of Production Research - Americas, ICPR-Americas 2020, held in Bahía Blanca, Argentina, in December 2020. Due to the COVID-19 pandemic the conference was held in a fully virtual format. The 41 full papers and 11 short papers were thoroughly reviewed and selected from 275 submissions. They are organized in topical sections on optimization; metaheuristics and algorithms; industry 4.0 and cyber-physical systems; smart city; intelligent systems and decision sciences; simulation; machine learning and big data.
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This book highlights recent findings in industrial, manufacturing and mechanical engineering, and provides an overview of the state of the art in these fields, mainly in Russia and Eastern Europe. A broad range of topics and issues in modern engineering are discussed, including the dynamics of machines and working processes, friction, wear and lubrication in machines, surface transport and technological machines, manufacturing engineering of industrial facilities, materials engineering, metallurgy, control systems and their industrial applications, industrial mechatronics, automation and robotics. The book gathers selected papers presented at the 5th International Conference on Industrial Engineering (ICIE), held in Sochi, Russia in March 2019. The authors are experts in various fields of engineering, and all papers have been carefully reviewed. Given its scope, the book will be of interest to a wide readership, including mechanical and production engineers, lecturers in engineering disciplines, and engineering graduates.
This volume is intended to expand the dialogue and interest among both practitioners and academicians in a problem area worthy of attention by all. The concept of disaggregation admits to our current inability to solve many types of interrelated hierarchical problems simultaneously. It offers instead a sequential, iterative process as a workable and necessary procedure. The papers in this volume are selected from those presented at a Disaggregation Conference held in March, 1977 at The Ohio State University. We heartily applaud all those who participated in the conference and particularly appreci ate the cooperation of those authors whose work is published in this collection. Part A contains four papers which define the various dimensions of disaggregation. The paper by Martin Starr, which was the text of his luncheon address at the conference, provides several interesting perspectives to the problem. Although disaggregation suggests tear ing apart, as Professor Starr illustrates with his butterfly example, it also suggests a putting together or a synthesis which recognizes interrelationships and dependencies. The next paper by Lee Kra jewski and Larry Ritzman offers a general model of disaggregation for both the manufacturing and service sectors. After reading the papers in this section, as well as the papers in subsequent sections, you will identify other dimensions to hierarchical decision making which go beyond this generalized model.
​This book extends the existing demand fulfillment research by considering multi-stage customer hierarchies. Basis is a two-step allocation and consumption planning procedure. In the existing literature, it is assumed that the customer segments are ‘flat’. This means they can be sorted easily during the allocation planning step by a single central planner in decreasing order of profitability. In the subsequent consumption planning phase, if order requests differ in terms of profit margins, companies can render prioritized service in real time to their most profitable customers by consuming the reserved quotas.
This textbook provides a practice-oriented introduction into Analytics-based inventory management in complex supply chains. In the context of Business Analytics, we concentrate on Prescriptive Analytics. In addition to standard single-level inventory models also multi-level approaches for the optimal allocation of safety inventory are presented. Moreover, dynamic lot sizing problems under random demand and random yield and their relationship to Material Requirements Planning (MRP) are discussed.The models and algorithms are illustrated with the help of numerous examples. The book has been written for students of Supply Chain Management and Operations Management as well as for practitioners who are confronted with inventory management in their daily work.