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2019 Winter Simulation Conference (WSC)

Visit Us at WSC19 -
(Booth #31 & #32)
Stop by our Viewing Station and experience
Simcad Pro Virtual Reality Simulation
.

December 8-11, 2019
Gaylord National Resort & Convention Center
201 Waterfront Street,
National Harbor, MD 20745

Organizing Committee - Business Chair: Hosni Adra, CreateASoft

Simcad Pro® – Next Generation, on-the-fly dynamic simulation software with advanced modeling capability, multi-threading technology, scheduling and live data connectivity. Stop by and check out the fully functional VR Simulator with an integrated physics engine. Simcad Pro® also includes dynamic value stream mapping, live lean metrics, and real time model changes while the simulation is running.

Take simulation to the next step and upgrade to SimTrack®, Dynamic Execution System with predictive analytics, IOT support and real time process efficiency improvement. Connect to real time PLC data, RTLS/RFID, and internal systems to predict, schedule, and improve operational efficiency using dynamic simulation technology.

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.  

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Success with Simulation

A definitive guide to process improvement success using simulation for healthcare, manufacturing, and warehousing.

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