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In recent years, supply chain planning has emerged as one of the most challenging problems in the industry. As a consequence, the planning focus is shifting from the management of plant-speci?c operations to a holistic view of the various logistics and productionstages, that is an approach in which suppliers, productionplants and customers are considered as constituents of an integrated network. A major dr- ing force behind this development lies in the globalization of the world economy, which has facilitated the co-operation between different partners working together in world-wide logistics networks. Hence, considerable cost savings can be gained from optimizing the structure and the opera...
Production planning in fresh food industries is a challenging task. Although modern Advanced Planning and Scheduling (APS) systems could provide significant support, APS implementation numbers in these industries remain low. Therefore, based on an in-depth analysis of three sample fresh food industries (dairy, fresh and processed meat), the author evaluates what APS systems should offer in order to effectively support production planning and how the leading systems currently handle the most distinguishing characteristic of fresh food industries, the short product shelf life. Starting from the identified weaknesses, customized software solutions for each of the sample industries are proposed that allow to optimize the production of fresh foods with respect to shelf life. The book thereby offers valuable insights not only to researchers but also to software providers of APS systems and professionals from fresh food industries.
Practitioners in process industry have to increasingly adapt their global production networks to changes in the competitive environment. A majority of the supply network design models proposed by academia do not sufficiently capture the questions that have to be resolved. This book provides the necessary operations research decision support tools. It builds on an example of the specialty chemicals industry.
This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data for bakery products.
This book presents new insights and successful solutions to the operational problems of automated container terminals and cargo systems. It comprises reports on the state of the art, applications of quantitative methods, as well as case studies and simulation results. Its contributions are written by leading experts from academia and business and address practitioners and researchers in logistics, transportation, and management.
Container transportation is the predominant mode of inter-continental cargo traffic. Since container ships and port terminals involve a huge capital investment and significant daily operating costs, it is of crucial importance to efficiently utilize the internal resources of container terminals and transportation systems. Today there is an ongoing trend to use automated container handling and transportation technology, in particular, in countries with high labour costs. This in turn requires highly sophisticated control strategies in order to meet the desired performance measures. The primary objective of this book is to reflect these recent developments and to present new insights and successful solutions to operational problems of automated container terminals and transportation systems. It comprises reports on the state of the art, applications of quantitative methods, as well as case studies and simulation results. Its contributions are written by leading experts from academia and business. The book addresses practitioners as well as academic researchers in logistics, transportation, and management.
Ihsan Onur Yilmaz develops a novel group setup strategy which integrates multiple problems of the PCB assembly, especially in a medium-variety production environment.
Modern freight forwarding companies attempt to cooperate with each other to increase their efficiency. Xin Wang studies the new operational transportation planning problems that arise in the context of cooperation in both static and dynamic scenarios. To achieve the cost-savings embedded in cooperation, novel planning approaches that can help forwarders obtaining high-quality solutions are proposed. Computational studies show considerable benefits that can be achieved through cooperation.
Innerhalb moderner Informations- und Kommunikationssysteme für Supply Chain Management und Logistik stehen heute erstmals große Mengen an digitalen, strukturierten Daten zur Verfügung. Diese bilden eine hervorragende Basis für den Einsatz quantitativer Methoden bei der Entscheidungsunterstützung. Durch State-of-the-Art-Technologien des Operations Research können heute sehr große Praxismodelle optimal gelöst und die Ergebnisse nahtlos in die Informations- und Kommunikationssysteme eines Unternehmens oder einer Lieferkette eingebunden werden. Darüber hinaus ist der Einsatz von Optimierungsverfahren heute nicht nur in der Planungsphase, sondern auch in der Ausführung möglich. Das Buch präsentiert Beispiele zur Nutzung quantitativer Methoden in Supply Chain Management und Logistik aus den Bereichen des Operations Research und der Wirtschaftsinformatik.