Academic articles

Logistics Network Analysis Model of E-Grocery Built with a Simulation Tool


The negative effects of traffic, such as air quality problems and road congestion, put a strain on the infrastructure of cities and high-populated areas. A potential measure to reduce these negative effects are grocery home deliveries (e-grocery), which can bundle driving activities and, hence, result in decreased traffic and related emission outputs.

This paper presents an agent-based simulation for logistics network analysis. The model built with a simulation tool assesses the impact of the e-grocery logistics network compared to the stationary one in terms of mileage and different emission outputs.

Simulation as One of Logistics Optimization Techniques Helps Improve E-Grocery Delivery


E-commerce has increased tremendously in recent decades because of improvements in information and telecommunications technology along with changes in social lifestyles. More recently, e-grocery (groceries purchased online) including fresh vegetables and fruit, is gaining importance as the most-efficient delivery system in terms of cost and time.

This paper evaluates the effect of cooperation-based logistics policies, including horizontal cooperation, on service quality among different supermarkets in Pamplona, Spain. For that, the research team applies simulation modeling as a logistics optimization technique.

Patient Flow Management Policy Evaluation with Simulation Software


Healthcare is facing great challenges to make processes more efficient and meanwhile provide better service to patients. Management of the intensive care unit (ICU), which is one of the most critical departments in terms of patient status and patient flow, also tries to provide better service and reduce the mortality rate.

During COVID-19, effective and efficient management is of utmost importance. A patient flow model developed in AnyLogic simulation software allows a comprehensive evaluation of eleven different management policies for controlling ICU admissions when facing capacity shortages.

Risk-Adjusted Healthcare Staffing Policy During the Pandemic – Modeled with Simulation Software


During the pandemic specialty physicians are working as frontline workers due to hospital overcrowding and a lack of providers. This places them as a high-risk target of the epidemic. Within these specialties, anesthesiologists are one of the most vulnerable groups as they come in close contact with the patient's airway.

An agent-based simulation model was developed using AnyLogic software to test various staffing policies within the anesthesiology department of the largest healthcare provider in Upstate South Carolina.

Crane Scheduling at Steel Manufacturing Plant Using Simulation Software and AI


The overhead crane scheduling problem has been of interest to many researchers. While most approaches are optimization-based or use a combination of simulation and optimization, this research suggests a combination of dynamic simulation and reinforcement learning-based AI as a solution.

The goal of this steel plant simulation project was to minimize the crane waiting time at the LD converters by creating a better crane schedule.

Simulating an Automated Breakpack System to Improve Warehouse Efficiency and Operations


This case study focuses on the simulation of a soon-to-be-implemented automation system within a Walmart Canada warehouse. This new system's aim is more efficient warehouse operations. Many stock-keeping units (SKUs) cannot be sent to retail stores in full case quantities. They are slow movers and would require individual stores to carry excessive inventory.

Breakpack is the process of breaking cases down to individual eaches (pieces) and combining them into mixed SKU cartons. Automating breakpack offers significant labor and quality savings, that are important to ensure efficient warehouse operations, but also a high degree of complexity.

Electric Vehicles Modelling and Simulations for Long-Haul Logistics


Long-haul trailer operations are a critical part of supply chains in many of the world’s developed economies. In the UK, it is estimated that long-haul logistics contributes around 45% of all greenhouse gas emissions from road freight.

One way to reduce greenhouse gas emissions in this sector is by fitting a battery on the trailer. However, long-haul operations are very energy-intensive and electric vehicles would require batteries of considerable size and weight. Applying agent-based modelling and simulation, this paper aims at analyzing if electrification (e.g., electric vehicle fleet, electric road system, etc.) would help reduce greenhouse gas emissions.