A Framework to Select Techniques Supporting Project Risk Management

The need for increasing quality while reducing time and costs asks for developing knowledge about how to manage risk in projects. However, communication and knowledge creation are not easy tasks, especially when dealing with uncertainty, because decision-making is often fragmented and a shared perspective on the goals, opportunities, and threats of a project is missing. With the purpose of stimulating knowledge, a framework to classify techniques supporting project risk management is proposed. To this end, three dimensions encompassing the main aspects characterising the managerial and operational scenario of a project are considered: the phases of the risk management process, the phases of the project life cycle, and the corporate maturity towards risk. The taxonomy is then applied to a wide selection of risk techniques based on the analysis of literature and the authors' experience. Future research efforts will be directed towards refining the framework and testing it in multiple industrie

A Structured Approach to Analyse Logistics Risks in the Blood Transfusion Process

Blood transfusion is a critical healthcare process due to the nature of the products handled and the complexity driven by the strong interdependence among the sub-processes involved. Most of the errors causing adverse events originate during the blood logistics activities. Several literature contributions apply risk management to the transfusion process but often in a fragmented and reactive way. Moreover, few of them focus on logistics risks and assess the effectiveness of risk responses through operational key performance indicators (KPIs). The present paper applies a comprehensive and structured approach to proactively identify and analyse logistics risks as well as define responses to improve blood bag traceability, focusing on hospital wards. The implementation of such actions is monitored by specific KPIs whose measurement enables an improved communication flow among actors allowing to uncover residual risks. Future research will extend the application to further blood transfusion settings and supply chain echelons. The outcomes of this work might assist practitioners in improving policy making about blood supply chains. As a matter of fact, they allow a better understanding of the associated material and informational flows and the related risks, which supports setting effective strategies to either prevent adverse events or mitigate their effects

Paving the Way for Warehouse Centralization in Healthcare: A Preliminary Assessment Approach

Centralized logistics management is currently one interesting option for healthcare systems facing an increasing need to improve responsiveness and service quality while reducing costs. This work focuses on one aspect of centralized logistics, namely warehouse centralization and proposes a preliminary approach to assess material management in healthcare institutions as a first step towards decisions about the implementation of such a strategy. A list of variables and relationships between them characterizing warehouse material management are identified based on a literature review and knowledge of real logistics processes. Statistical analysis is then applied to assess the existence of such relationships in a set of healthcare organizations in order to understand the management commonalities that can stimulate warehouse centralization as well as the criticalities that could potentially hinder it. The approach is tested in a healthcare logistics system in Northern Italy. The results proved the ability of the methodology to identify the relevant issues the involved institutions need to work on when undertaking warehouse centralization strategies. The case warehouses revealed a good degree of commonalities in their management practices although three critical aspects were identified, namely a limited efficiency in human resource allocation, a high fragmentation of stock product demand and a relevant number of stock products with low annual demand. This work provides a methodology to increase material managers’ awareness about the factors enabling successful centralized inventory strategies in the healthcare sector

An approach for computing AS/R systems travel times in a class-based storage configuration

This study provides an approach to compute the travel time for AS/R systems in a class-based storage environment. A regression analysis is completed in order to define the importance of the key predictors taken into account and to propose a formulation of travel times. The results show the reliability of the model and allow to evaluate the travel time through the identification of a complete list of predictors. The proposed approach supports managers in theex-ante definition of travel times for a warehouse. A correct evaluation of travel times enables a better monitoring of the performance of warehouse operations and can support practitioners in the choice of the configuration not only in terms of kind of cycle, but also from a policy assignment perspective. From a theoretical point of view, this work can be considered as an attempt to refine the existing methods to compute travel times

An enhanced framework for blood supply chain risk management

A blood supply chain (BSC) is a very long and complex sequence of processes heavily sequential. If one of them is executed in an incorrect way and this error is not detected, it leads to an incorrect transfusion outcome, that could seriously affect patients. For this reason, there is a strong need to identify and prevent adverse events along the entire BSC, in order to reduce their probability of occurrence. This also helps improving BSC sustainability from both the environmental and the social perspectives. The paper extends an existing healthcare supply chain risk management framework already applied to the blood transfusion process to address multiple BSC echelons and identify the cause and effect relationships among the adverse events that might occur. To this end, Fault Tree Analysis is added to the risk management tools part of the original framework as well as Key Performance Indicators are applied to detect risky event manifestation. The first application of the proposed approach to a blood bank and a hospital ward revealed its effectiveness in identifying the BSC activities most subjected to risk. Also, connections between adverse events and causal relationships among their sources were found, leading to understanding whether an adverse event is caused by a risk source in the same echelon where it occurs or by the concurrent manifestation of several adverse events upstream in the BSC. Future research will be devoted to numerically evaluate probability of occurrence and impact of risky events as well as integrating the framework with a classification of criticalities based on their severity

Analysis and trends of city logistics projects in Europe

Last mile urban freight distribution systems generate negative externalities such as pollution, traffic congestion and other nuisances. To minimize such negative impacts, City Logistics (CL) projects are being implemented in many cities around Europe. CL aims at optimizing the logistics and transport activities by private companies in urban areas while considering traffic congestion and energy consumption. However, most CL initiatives do not consider all these aspects together, but they address them separately. In this context, there is a lack of studies on the state of the art and international diffusion of CL systems. In order to bridge the research gap, this paper proposes an exploratory study of a sample made of 70 European cities that have been piloting CL projects and a set of City Logistics Indices (CLI) is defined and used as indicators of the breath and number of CL measures implemented in a city. In particular, three different domains of application have been defined, namely Infrastructure, Regulation and Technology, together with and Aggregated City Logistics Index (ACLI) encompassing all of them. Results highlight that Southern European cities show higher CLIs. This is due to the fact that these cities have been undertaking fewer measures to reduce traffic congestion and pollution in the past compared to other regions and are now trying to filling the gap. This work illustrates how the CL issue has been applied in different European geographical areas so that it lays foundations for exploring the socio-cultural implications of various CL implementations

Estimating travel times in dual shuttle AS/RSs.: A revised approach

Automated Storage and Retrieval Systems (AS/RSs) effectively support warehouse operations in order to increase production and logistics efficiency. Literature about travel time computation in multi-shuttle AS/RSs still needs to be enhanced since most of the existing contributions rely on the same formulation, namely the Meller and Mungwattana’s equation. Based on well-established theoretical assumptions and on a simulation model, the present work puts forward a revised version of the Meller and Mungwattana’s formula for dual shuttle systems. In particular, the constant factor multiplying the travel between time is replaced by a coefficient depending on the rack configuration and on the input and output points of the storage system. The new equation is tested against widely applied models for AS/RS travel time calculation and proves to result in shorter times than the original Meller and Mungwattana’s equation. A linear regression analysis is completed in order to find a numerical formulation of the proposed coefficient. Taking into account some key physical characteristics of a warehouse while estimating travel times allows improving the design and management of storage areas. Future research will focus on deepening multi-shuttle travel time calculation by addressing crane acceleration and deceleration, different rack and crane configurations, as well as class-based storage

An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies' awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processe