Abstract
In the increasingly complex service environment, value is cocreated through webs of interactions between provider networks and customer networks. This is evident in healthcare services, where well-being can be achieved only through the joint efforts of professional healthcare networks and patient networks. Addressing the challenge of creating network-level services, the service design for value networks (SD4VN) method designs services as enablers of many-to-many value cocreating interactions among network actors. By integrating previous research on value networks and service design, SD4VN develops a process and a set of models beyond supporting dyadic (customer-service provider) interactions to understanding the interrelated activities, interactions, and goals of network actors and designing services to support the different actors in reaching their goals with balanced centricity. Following a design science research approach, this paper presents the SD4VN method and reports on a case application of the method used to design the Portuguese national electronic health record service Plataforma de Dados da Saude (PDS). The case application involved focus groups, indepth interviews, and participatory design sessions with over 170 participants at different service design stages, showing the importance of designing a balanced, integrated service. The case application also shows how SD4VN can support a wider adoption of the service and improve the health service system.

Abstract
Transportation systems are very complex systems due to the characteristics of their components such as buses. Nowadays, buses are set up to follow a particular schedule that is very sensitive to the changes that occur inside the system. These schedules must frequently be updated, if necessary, due to many reasons. Among these reasons, we have the population growth inside the cities as well as traffic and congestions caused by unforeseen events. To solve the problem of system variability, companies such as the Public Transport Company in the city of Porto (STCP) usually fixes bus schedules with headways adapted to each type of bus lines (i.e., high/low-frequency bus lines). In this work, we adopt a robust optimization model from literature to improve the bus schedules using Automatic Vehicle Location Data collected along the year in the city of Porto. We apply the model to a high-frequency bus line case study. We present the model imperfections and propose new updates.

Abstract
This paper addresses the use of a hyperspectral image system to detect vessels in maritime operational scenarios. The developed hyperspectral imaging classification methods are based on supervised approaches and allow to detect the presence of vessels using real hyperspectral data. We implemented two different methods for comparison purposes: SVM and SAM. The SVM method, which can be considered one of most utilized methods for image classification, was implemented using linear, RBF, sigmoid and polynomial kernels with PCA for dimensionality reduction, and compared with SAM using a two classes definition, namely vessel and water. The obtained results using real data collected from a UAV allow to conclude that the SVM approach is suitable for detecting the vessel presence in the water with a precision and recall rates favorable when compared to SAM.

Abstract
We study the strategical behaviour of firms facing a lot-sizing problem with Cournot competition. Each player is a firm with her own production facility, modeled as an uncapacitated lot-sizing problem (Le., production incurs set-up and variable costs and inventories are allowed). A Cournot competition is played in each time period (market) with each player deciding the quantity of product to place on it. The market price of that product in each time period depends on the total quantity placed in the market. We show that this is a potential game with possibly multiple pure Nash equilibria. We then investigate the plausibility of these equilibria to predict the game outcome by evaluating the difficulty of computing them. If the game has a single period, we prove that an equilibrium can be found in polynomial time, but it is weakly NP hard to find an optimal pure Nash equilibrium (with respect to a given equilibrium refinement). If the game has no variable production and inventory costs, we prove that a pure Nash equilibrium can be computed in polynomial time.

Abstract

Abstract
Over the last few years, the need for electricity has increased in households as new and different appliances are progressively introduced. This increased demand for electricity raises a concern to many developed and developing countries since it is a human's responsibility to assure a sustainable future. Energy demand management can be an effective approach to reduce the energy consumption; this approach requires final consumers to be empowered with more information for improving their decision-making and actions on the energy usage through increased awareness. Therefore, metering and behind the meter monitoring systems have a crucial role in the exploitation of this potential in the customer side. A significant disadvantage of traditional meters is the fact that they do not provide detailed information to the customers, which is achieved with the help of smart meters. A smart meter allows the customers to have access to the information about electricity consumption of the appliances in their houses. The acceptance of smart meters by customers is the fundamental step to achieve the potential carbon emission reductions that are provided by the use of advanced metering infrastructures. The smart meter is an advanced energy meter that measures consumption of electrical energy such as a traditional meter but also provides additional information in real time, making it the key element of the new energy demand management system. Integration of smart meters into electricity grids implies the implementation of several technologies, depending on the features that each situation request. The design of a smart meter has been in constant development since it is increasingly necessary to satisfy both the requirements of the utility company and those of the customer. Therefore, smart metering provides benefits to the energy utilities optimizing their business, and beyond that it can provide advantages to the final customers. All over the world many smart metering projects have been developed. However, it is still not entirely clear which are the associated costs, the characteristics, and the mechanisms internal to projects that bring advantages and benefits for the different concerned parties. The smart metering methods and the communication technologies used in smart grid are being substantially studied due to widespread applications of smart grid. The monitoring and control processes are largely used in industrial systems. Nevertheless, the energy management requirements at service supplier and customer promoted the evolution of smart grid and consequently the development of microgrids. This chapter discusses various characteristics and technologies that can be integrated with a smart meter for smart grids and microgrids uses. In fact, placement of smart meters needs proper selection and implementation of a communication network fulfilling the security standards of smart grid/microgrid communication. This chapter outlines various issues and challenges involved in design, deployment, utilization, and maintenance of the smart metering infrastructure.