Enhanced Operational Management of Airport Ground Support Equipment for Better Aircraft Turnaround Performance

The aircraft turnaround process consists of "ground handling operations" that are required to set an aircraft ready for its subsequent departure. This work focuses on enhancing the planning and real-time allocation of apron operations that are used to turn around an aircraft between two consecutive flights.

Generic Semiconductor Manufacturing Simulation Model

Simulation is one of the most used approaches to analyze semiconductor manufacturing systems. However, most simulation models are designed for single-use applications and study a limited set of problems that are not reusable afterwards. This paper proposes a generic, data-driven simulation model to evaluate and analyze a wide range of problems arising in modern semiconductor manufacturing systems.

Creating Simulated Equivalents to Project Long-Term Population Health Outcomes of Underserved Patients

Simulation models can be used to project the long-term outcomes associated with implementing a public health intervention or program at the population level. The main goal of simulation modeling in this paper was to estimate the long-term colorectal cancer outcomes associated with a first screening through the Colorectal Cancer Control Program among low-income and underserved patients in the U.S.

Assessing Resilience of Medicine Supply Chain Networks to Disruptions: a Proposed Hybrid Simulation Modeling Framework

This paper introduces a simulation study of interventions to ensure a stable supply of a generic medicine in Norway. A hybrid simulation modeling framework is proposed to evaluate the effect of alternative supply chain shortage interventions in response to various disruptions to support national decision making with respect to preparedness planning and emergency response.

A Hybrid Modeling Approach for Automated Parcel Lockers as a Last-Mile Delivery Scheme

Urban logistics is becoming increasingly important due to the global rise of e-commerce with home deliveries of small but frequent orders from consumers. The introduction of self-collection delivery systems is an innovation for last mile delivery operations in urban areas and brings new benefits. This paper introduces the application of hybrid modeling approach for the self-collection delivery costs optimization and estimation of future demand based on several socio-economic parameters.

Applying Simheuristics for Safety Stock and Planned Lead Time Optimization in a Rolling Horizon MRP System under Uncertainty

Material requirements planning (MRP) is one of the main production planning approaches implemented in enterprise resource planning systems, and one that is broadly applied in practice. In this paper, a multi-stage and multi-item production system is simulated by considering random customers’ demands and other sources of uncertainty.