Inventory control with product returns: the impact of (mis)information

Product returns are often characterized by a dual uncertainty on time and quantity. In the literature on inventory management with product returns, best forecasts have been associated with methods that use the most informationregarding product return history.In practice however, data is often scarce and unreliable. In this paper we investigate the impact of (mis)information on inventory performance. An exact analysis shows that in case ofmisestimation the most informed method does not necessarily lead to best performance. Further we provide an extensive simulation study to investigate the impact of misinformation w.r.t. inventory costs.This has relevant implications regarding the investments to make on product return information systems.Forecasting;Inventory control;Product returns;Information management

Inventory Management with product returns: the value of information

This paper evaluates the impact of misinformation for inventory systems with product returns. Ifone could exactly know how much is going to be returned and when, one would certainly benefitfrom incorporating this perfect information a priori in the management of production, inventory,and distribution. In practice, one has to attempt to forecast the timing and the amount of productreturns, by hypothesizing about the return flow properties. To do so, historic data on demandand returns can be used. The available literature on information and inventory managementwith product returns commonly 1) assumes known return probabilities; or 2) considers specificcases where the most informed method does not necessarily lead to the best performance,investigating the impact on inventory related costs.product returns;forecasting;information management;inventory management

Extended Producer Responsibility in the Aviation Sector

In this paper we investigate recent initiatives with respect to extended producer responsibility in the aviation sector. We compare those with the existing practices in the automobile sector and the emerging regulations in the shipping sector. We describe the challenges and the lessons to be learned from the evolution and state of extended producer responsibility in these two industries.End-of-life aircraft;Environmental legislation;Extended producer responsibility

Logistics Information and Knowledge Management Issues in Humanitarian Aid Organizations

In this paper, we assess the need for logistics information and knowledge management in humanitarian aid organizations. To do so, we combine literature sources with an extensive case study that we conducted at Médecins sans Frontières–Holland, which is following a trajectory to improve logistics information management within the organization. We observed that logistics information and logistics knowledge management has not yet matured. We indicate how, by making use of knowledge management strategies such as ‘personalization’ and ‘codification’, this can be improved.Humanitarian aid organizations;Knowledge management;Logistics information

Inventory control with product returns: the impact of (mis)information

Product returns are often characterized by a dual uncertainty on time and quantity. In the literature on inventory management with product returns, best forecasts have been associated with methods that use the most informationregarding product return history. In practice however, data is often scarce and unreliable. In this paper we investigate the impact of (mis)information on inventory performance. An exact analysis shows that in case of misestimation the most informed method does not necessarily lead to best performance. Further we provide an extensive simulation study to investigate the impact of misinformation w.r.t. inventory costs.This has relevant implications regarding the investments to make on product return information systems

Inventory Management with product returns: the value of information

This paper evaluates the impact of misinformation for inventory systems with product returns. If one could exactly know how much is going to be returned and when, one would certainly benefit from incorporating this perfect information a priori in the management of production, inventory, and distribution. In practice, one has to attempt to forecast the timing and the amount of product returns, by hypothesizing about the return flow properties. To do so, historic data on demand and returns can be used. The available literature on information and inventory management with product returns commonly 1) assumes known return probabilities; or 2) considers specific cases where the most informed method does not necessarily lead to the best performance, investigating the impact on inventory related costs

Logistics Information and Knowledge Management Issues in Humanitarian Aid Organizations

In this paper, we assess the need for logistics information and knowledge management in humanitarian aid organizations. To do so, we combine literature sources with an extensive case study that we conducted at Médecins sans Frontières–Holland, which is following a trajectory to improve logistics information management within the organization. We observed that logistics information and logistics knowledge management has not yet matured. We indicate how, by making use of knowledge management strategies such as ‘personalization’ and ‘codification’, this can be improved

Extended Producer Responsibility in the Aviation Sector

In this paper we investigate recent initiatives with respect to extended producer responsibility in the aviation sector. We compare those with the existing practices in the automobile sector and the emerging regulations in the shipping sector. We describe the challenges and the lessons to be learned from the evolution and state of extended producer responsibility in these two industries

Managing Product Returns: The Role of Forecasting

In this article, we discuss ways of actively influencing product returns and we review data-driven methods for forecasting return flows that exploit the fact that future returns are a function of past sales. In particular we assess the value of return forecasting at an operational level, specifically inventory control. We conclude with implications for supply chain management