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​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.
In 2012, a Forestry Special Interest Group (FSIG) was founded within the Canadian Operational Research Society (CORS). Besides a general commitment to promoting the application of operational research (OR) to forest management and forest products industry problems, the FSIG has two concrete mandates: organizing the forestry cluster at the annual CORS conference, and managing the editorial process for forestry-themed special issues of INFOR. The FSIG has been very successful in the first of these two mandates, with record attendance at the forestry cluster over the last four years, hosting of several special sessions, financial and in-kind support from the NSERC Strategic Network on Value Chain Optimization (VCO), and the inauguration of the David Martell Student Paper Prize in Forestry (DMSPPF). This is the first compilation of forestry-themed papers since the inauguration of the CORS FSIG. The six pieces selected for the special issue, now published as a book, feature applications of OR to a wide range of forest management and forest products industry contexts, including supply-chain planning, lumber production planning, demand-driven harvest and transportation planning, and fire-aware wood supply planning. This book was originally published as a special issue of the INFOR: Information Systems and Operational Research journal.
Supply Chain Management, Enterprise Resources Planning (ERP), and Advanced Planning Systems (APS) are important concepts in order to organize and optimize the flow of materials, information and financial funds. This book, already in its fifth edition, gives a broad and up-to-date overview of the concepts underlying APS. Special emphasis is given to modeling supply chains and implementing APS successfully in industry. Understanding is enhanced by several case studies covering APS from various software vendors. The fifth edition contains updated material, rewritten chapters and an additional case study.
This volume contains a selection of papers referring to lectures presented at the symposium Operations Research 2006 held at the University of Karlsruhe. The symposium presented the state of the art in Operations Research and related areas in Economics, Mathematics, and Computer Science and demonstrated the broad applicability of its core themes, placing particular emphasis on Basel II, one of the most topical challenges of Operations Research.
On the basis of an analysis conducted in a freight forwarding company, Marta Anna Krajewska identifies two levels of improving logistics performance. First, she demonstrates that on the local level the automated operational transportation planning increases the planning quality and influences mid- and long-term planning issues. Secondly, the results show that on the global level the proposed horizontal collaboration concept among the independent planning units can bring substantial gains.
"This book analyses the relationship between federalism and European integration, and in this context examines the impact of Europeanization on the three EU member states that are constitutionally federal: Belgium, Germany and Austria. The author chooses two theoretical concepts - hierarchy and interdependence - to characterize certain institutional and structural features of federal states. Her comparative analysis shows that European integration does have an impact on federalism and that it is leading to growing institutional interdependence between the levels of governance in all three states."--Back cover.
Written by supply chain researchers, consultants, and practitioners, this book explains the newly emerging techniques and practices for highly efficient supply chain management, made possible by the rapid progress in information and communication technologies.
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.
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.