With the pressure of time-based competition increasing, and customers demanding faster service, the availability of service parts becomes a critical component of manufacturing and servicing operations. Potentially, the aftermarket service industry may account for 25% of a manufacturer s annual revenue. On the other hand, keeping too many of such spare parts increases operational costs and eats up the bottom line. The challenge is the erratic demand patterns of service parts. Demand commonly is intermittent with some time periods having no demand at all. Forecasting for intermittent demand itself has long been recognized, in the academic literature, as a very difficult business task. It is not only the variability of the demand size but also the variability of the demand pattern that makes intermittent demand so difficult to forecast. Hence management of service parts is a significant organizational problem. Therefore, small improvements in a company s system, regarding service parts, may be translated to substantial cost savings.

Service Parts Management provides an overview and detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. The book is divided into two parts, one for demand forecasting and one for inventory control. Demand forecasting techniques are presented for parametric and nonparametric approaches. Error measures, distributional assumptions, and the effects of correlation are all examined in the forecasting context while inventory control is examined in the continuous and periodic review cases. Multi echelon cases and inventory pooling are also considered.

An excellent reference for key concepts and a leading resource for further research, Service Parts Management guides researchers and practitioners in finding better management solutions to their problems."

This volume provides a survey of current research problems and results in humanitarian operations research. Additionally, it discusses existing applications of humanitarian operations research, and considers new research efforts that clearly extend existing research and applications. The book is divided into three sections that provide an overview of the subject, a look at the theory, and an examination of applications. The overview section presents chapters on modeling approaches and metrics to evaluate nonprofit operations; chief findings of fieldwork research in disaster response logistics; the use of cash as a form of relief; and measuring markets that supply cash-based humanitarian interventions. The theory section includes chapters that examine the partner proliferation problem in disaster response networks; a case study of humanitarian logistics that examines how humanitarian culture informs change adoption; and a look at the current state of the art for information visibility in humanitarian operations. Finally, the application section focuses on blood products, vaccines, and food assistance, with individual chapters on efficient inventorying and distribution of blood products during disasters; a detailed look at modeling in the context of the vaccine supply chain; a framework for achieving equity, effectiveness, and efficiency in food bank operations; and a spatio-temporal vulnerabili ty assessment of the resilience of a population affected by sudden lack of food.

This volume provides a survey of current research problems and results in humanitarian operations research. Additionally, it discusses existing applications of humanitarian operations research, and considers new research efforts that clearly extend existing research and applications. The book is divided into three sections that provide an overview of the subject, a look at the theory, and an examination of applications. The overview section presents chapters on modeling approaches and metrics to evaluate nonprofit operations; chief findings of fieldwork research in disaster response logistics; the use of cash as a form of relief; and measuring markets that supply cash-based humanitarian interventions. The theory section includes chapters that examine the partner proliferation problem in disaster response networks; a case study of humanitarian logistics that examines how humanitarian culture informs change adoption; and a look at the current state of the art for information visibility in humanitarian operations. Finally, the application section focuses on blood products, vaccines, and food assistance, with individual chapters on efficient inventorying and distribution of blood products during disasters; a detailed look at modeling in the context of the vaccine supply chain; a framework for achieving equity, effectiveness, and efficiency in food bank operations; and a spatio-temporal vulnerabili ty assessment of the resilience of a population affected by sudden lack of food.

With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: * error measures, * distributional assumptions, and * decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory.