Online shopping has seen booms of orders in recent years. In online shopping, the orders are characterized by tight order-todelivery lead times and the frequent and discrete arrival of orders.Online shopping has recently expanded into new sectors. Due to the pandemic, online grocery shopping showed a boom and the shift from physical grocery shopping to on line shopping is not expected to disappear with the pandemic end. This increases the number of online orders that should be delivered directly to customers.Online shopping is changing its characteristics: customers even more often pick up online orders in stores. This increases the number of online orders that need to be delivered to physical stores and places requirements on supply chains-especially in terms of speed and efficiency.Delivery at the time and place that is convenient to the consumer is one of the main issues for increasing customer satisfaction and therefore business efficiency. This study proposes an exact algorithm for solving a multi-constrained dynamic vehicle routing problem with a short execution time. The algorithm is therefore able to satisfy customer preferences, allowing for instance last minute changes in order lists and/or delivery addresses.

The context is online grocery shopping and the paper focuses on the optimization of the related transport logistics that can lead to important economic and environmental advantages. At the beginning of the day, each customer provides: a shopping list, defining the product typologies and the related quantities to be collected from the different shops, the delivery address and the related delivery time window. One vehicle is in charge of serving all the customers by collecting the products from the shops and by delivering them to the provided delivery addresses. The target is to find the shortest path that satisfies the customer's needs.The proposed routing algorithms could support also logistic processes in supermarket supply. Each supermarket defines the daily freight demand, in terms of product typologies and related quantities, to be collected from the different manufactures/distributors, the delivery address and the related delivery time window. One vehicle is in charge of collecting the products from manufactures/distributors and of delivering them to the provided delivery addresses.The faced problem is therefore a complex multi commodity pick-up and delivery traveling salesman problem. Many constraints could be taken into account, related, for instance, to ecology and customer satisfaction. One local and four global optimization algorithms are proposed; their advantages and limits are discussed. The algorithms are tested on a basic logistic example, the numerical results are reported. The proposed algorithms use effective and efficient optimization algorithms able to minimize the overall miles necessary to deliver the goods in order to increase business efficiency.

Cover boxes with inspection glass are generally used outdoors for photovoltaic systems. Sometimes these boxes break, during normal use. High temperature, thermal stress, cyclic stress, and cracking contribute to weakening the polymeric inspection "glass". The study presents an interdisciplinary analysis to discover the mode of occurrence and causes of the failure. First, the material is accurately characterized. Then its mechanical behavior is characterized in a virtual scenario that reconstructs the real external environment. The goal is to build a new cover with inspection boxes that exhibits superior life cycle behavior when exposed to harsh weather conditions and atmospheric agents. The breaking phenomena of solar panels covering boxes in PMMA (Poly Methyl Methacrylate) are examined. Environmental stress is the main responsible for cracking. Styrene is employed in the polymerization process of Sheet Molding Compound (SMC); the diffusion of this material is the main responsible for cracking. Comprehensive engineering analysis shows how the thermoplastic component fails after being exposed to atmospheric agents. The PMMA "glass" is one of the polymers most sensible to the crazing phenomena.