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This paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.

This simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.

An extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.

The goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.

The purpose of this paper is to find throughout history examples of wealth management of a family or business families that can be assimilated into the current concept of family offices (FOs). In such examples, the study identifies characteristics associated with the different dimensions of the concept of socioemotional wealth (SEW).

Drawing on the socioemotional perspective, this paper relates significant examples of FOs based on historical stages (ancient history, the middle ages, modern history, the contemporary period and the actual world). Each case is discussed with an effort to identify the dimensions of the SEW that fit and help in understanding the organization studied.

Mainly, FOs allow the management of the family legacy, philanthropy, promotion of entrepreneurship and family wealth preservation for future generations. Autonomy in decision-making, privacy and confidentiality and the achievement of more intangible goals make the FO preferable to other institutions. Through the study of historical cases, the FO constitutes a structure with objectives and activities that have remained consistent from Rome to the present, regardless of historical, political or social context. The results also identify four out of five FIBER dimensions of SEW.

In addition to contributing to the scarce literature on FOs, this paper uses various examples of historical periods to better understand its origin, evolution and current state. A selection of examples at different times allows us to verify that FOs undergo a series of changes throughout history but maintain their characteristics regardless of the historical context. This paper is the first to explore the origin and development of the FO as organization. Building on the findings, the authors present a conceptual SEW framework to deepen in the knowledge of FO. This framework could help researchers and practitioners in future researches providing a conceptual link that demonstrates the components of the SEW perspective best fit the objectives pursued by business families when establishing a family office.