Interactive On-The-Fly Simulators: Benefits, Advantages, and Applications
Hosni Adra
CreateASoft, Inc
Partner/Director of Simulation and Process Improvement
3909 75th St, Ste 105
Aurora, IL 60504
Abstract
Interactive on-the-fly simulators offer key advantages over traditional simulation tools in all aspects of a simulation project life cycle. Unlike traditional simulators that require constant starting and stopping of the simulation engine to validate and develop models, interactive on-the-fly simulators allow for model development while the simulator is running. This new breed of simulation tools impact model development, model validation, environment optimization, and provide a path to real-time self-modifying simulation models. The interactive component of the new simulators allows for additional uses of the completed model such as employee training, risk mitigation, and real-time optimization. Interactive on-the-fly simulators are being used to improve scheduling, optimize the flow, and provide simulation benefits to less experienced personnel. This new breed of simulation environment can learn the model behavior and dynamically optimize the process flow. They provide all the integration points required for IOT and Industry 4.0.
Hospital Network Patient Transport Planning Using Interactive On-The-Fly Simulation
Michael Sellen
CreateASoft, Inc
Process Improvement Specialist
3909 75th St, Ste 105
Aurora, IL 60504
Abstract
Simulation models have been used in logistics to evaluate transportation of goods throughout a region, zone or country. When it comes to transporting patients between facilities in the healthcare industry, most simulation models center around activities at the origin facility or destination facility with the goal of refining hospital operations to prepare a patient for transfer or the in-take of arriving patients. Few models focus on the network of ambulances needed to complete these inter-facility transfers. This case study presents a method for evaluating dispatch locations within a geographically wide-spread network servicing a mix of rural and metropolitan areas. Furthermore, the simulation model takes into consideration the location of the facilities, the routes of travel between locations, and how external factors, such as weather conditions, might impact efficiency.
Distribution Center Slotting and Optimization Using Simulation
Hosni Adra
CreateASoft, Inc
Partner/Director of Simulation and Process Improvement
3909 75th St, Ste 105
Aurora, IL 60504
Abstract
Warehouse simulation and optimization have been used for many years to improve the internal operations, from receiving to shipping, in distribution centers. Most of these simulation environments are built on distributions and potential scenarios, rather than actual warehouse flow. This case study presents an improved method to optimize the warehouse using an actual outbound dataset that takes into consideration seasonality, SKU slotting, rack types, and pick path. Moreover, the generated simulation model is used for slotting analysis and optimization.
Success with Simulation
A definitive guide to process improvement success using simulation for healthcare, manufacturing, and warehousing.
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