Abstract
In the context of the COVID-19 pandemic, public spaces had to be quickly adapted to the new circumstances especially under the uncertainty of the pandemic development. Door handles are some of the most touched surfaces and so, this point of contagion was chosen to be tackled and two solutions were developed that would prevent direct touch with the handle: a portable and a fixed device. The portable device (HYHOOK + HYTIP) is a hook-like device holding a finger cover, which permits to open doors and push buttons safely. The fixed device (HANDGENIC) is meant to be assembled in door handles to equip buildings, such as universities or schools. With the fixed device, the user can open the door using their forearm which makes them less likely to transfer any particles to eyes, nose or mouth. The 3D printing Fused Filament Fabrication (FFF) process was selected as manufacturing technique, which allows the fast production of prototypes. This work portrays the development process and design iterations taking into consideration the concerns about the functioning of the devices and possible failures or alternative uses. To assure structural integrity of the parts, finite element (FE) analysis was used to verify its mechanical response. As conclusion, it was found that FE analysis indicate that the devices are structurally sound to be used in public spaces and that 3D printing is a useful way to rapidly develop devices while testing several design possibilities.

Abstract
Este livro é o resultado do arranjo e compilação de textos didáticos produzidos ou adaptados pelos seus autores para apoio a unidades curriculares dos mestrados em Engenharia Mecânica - Gestão Industrial e Engenharia Eletrotécnica e Computadores – Sistemas de Planeamento Industrial, do Instituto Superior de Engenharia do Politécnico do Porto. Esses textos foram revistos e reorganizados, com vista, não só a manterem a função original de ajuda à formação de estudantes afetos a esta área do conhecimento, como também a constituírem uma referência de conhecimentos para quem deseje iniciar-se nestes temas; procuram ainda ser uma base de consulta e informação para engenheiros ou outros profissionais com funções na gestão da produção. O livro percorre os marcos mais significativos da trajetória histórica da gestão da produção, com particular foco no planeamento e controlo da produção, procurando interpretar e tornar compreensível a sua evolução, e relevando, sempre que oportuno, a influência da tecnologia nos modelos de gestão, e sua interligação. Começa por uma referência à tipologia dos sistemas de produção no capítulo I e aborda, no capítulo II, as principais funções do planeamento, programação e controlo da produção em contexto MRP, normalmente considerada uma visão mais clássica do tema. Outras duas aproximações com expressividade, a Teoria das Restrições e o JIT/Lean, são abordadas nos capítulos III e IV respetivamente. No capítulo V, o livro finaliza o seu conteúdo com uma breve referência a sistemas de informação empresariais, particularmente vocacionados para contextos de produção. Os autores expressam o seu agradecimento a todos os colegas, alunos e editor, que, com os seus contributos, permitiram chegar ao documento que agora disponibilizamos. Esperamos que lhe seja útil, prezado leitor, que suscite em si a mesma satisfação que o seu longo processo de compilação nos proporcionou, e que possa vir a ser, em próxima revisão, enriquecido com as valiosas críticas, sempre bem-vindas, que haja por bem dedicar-lhe.

Abstract
We study a variant of the Probabilistic Travelling Salesman Problem arising when retailers crowdsource last-mile deliveries to their own customers, who can refuse or accept in exchange for a reward. A planner must identify which deliveries to offer, knowing that all deliveries need fulfilment, either via crowdsourcing or using the retailer's own vehicle. We formalise the problem and position it in both the literature about crowdsourcing and among routing problems in which not all customers need a visit. We show that to evaluate the objective function of this stochastic problem for even one solution, one needs to solve an exponential number of Travelling Salesman Problems. To address this complexity, we propose Machine Learning and Monte Carlo simulation methods to approximate the objective function, and both a branch-and-bound algorithm and heuristics to reduce the number of evaluations. We show that these approaches work well on small size instances and derive managerial insights on the economic and environmental benefits of crowdsourcing to customers.

Abstract
We propose a new approach for the lastmile delivery problem where, besides serving as collecting points of orders for customers, parcel lockers are also used as transshipment nodes in a 2-echelon delivery system. Moreover, we consider that a customer (occasional courier) visiting a locker may accept a compensation to make a delivery to another customer on their regular traveling path. The proposed shared use of the locker facilities - by customers that prefer to self-pick up their orders, and also as a transfer deposit for customers that prefer home delivery - will contribute to better usage of an already available storage capacity. Furthermore, the use of occasional couriers (OCs) brings an extra layer of flexibility to the delivery process and may positively contribute to achieving some environmental goals: although non-consolidation of deliveries may, at first sight, seem negative, by only considering OCs that would go to the locker independently of making or not a delivery on their way home, and their selection being constrained by a maximum detour, the carbon footprint can be potentially reduced when compared to that of dedicated vehicles. We present a mixed-integer linear programming formulation for the problem that integrates three delivery options - depot to locker, depot to locker followed by final delivery by a professional fleet, and depot to locker followed by final delivery by an OC. Furthermore, to assess the impact of OCs' no show on the delivery process, we extend the formulation to re-schedule the delivery of previous undelivered parcels, and analyze the impact of different no-show rates. Thorough computational experiments show that the use of OCs has a positive impact both on the delivery cost and on the total distance traveled by the dedicated fleets. Experiments also show that the negative impact of no-shows may be reduced by using lockers with higher capacities.

Abstract
As the availability of computational power and communication technologies increases, Humans and systems are able to tackle increasingly challenging decision problems. Taking decisions over incomplete visions of a situation is particularly challenging and calls for a set of intertwined skills that must be put into place under a clear rationale. This work addresses how to deliver autonomous decisions for the management of a public street lighting network, to optimize energy consumption without compromising light quality patterns. Our approach is grounded in an holistic methodology, combining semantic and Artificial Intelligence principles to define methods and artefacts for supporting decisions to be taken in the context of an incomplete domain. That is, a domain with absence of data and of explicit domain assertions.

Abstract
The process of digital transformation is based on horizontal and vertical strategies, along with models and technologies used to share information and analyse data that supports decision making. In this context, sharing information securely and intelligibly using standardized architectures is crucial for the digital transformation journey of the companies. This article describes the International Data Spaces as a disruptive model for sharing information inside a network. This work will be evaluated within marketplaces platforms scope. © 2022 The Author(s).