DFW Maintains Security Efficiency During Expansion Project with Arena
Airport Terminal Security Screening Checkpoints: Still An Industrial Engineering Problem
Shortly after the Transportation Security Administration (TSA) took over responsibility for screening all passengers and their carry-on baggage at 450+ US commercial service airports, an aviation industry expert commented that the problem is not a security problem but an industrial engineering problem. That observation was true then and remains true today. The challenges of thoroughly screening the hundreds of thousands of US passengers and their carry-on baggage at a rate that facilitates commerce is immense, making process-thinking essential.
Document Imaging Customer Service Simulation
The Challenge
A solution capable of representing each team’s operating policies and inter-team backup strategies was needed for efficiency.
How to Keep Costs Down and Customer Experience Up in an Omni-channel World
Chances are you’re no stranger to omni-channel service – almost every company engages its customers through multiple channels, from phone to web. However, businesses are often too quick to equate high-touch – and high-cost – agents with a better customer experience and lower-cost digital interactions with a worse one.
PepsiAmericas Saves $150,000, Reduces Downtime, and Optimizes Efficiency with Arena
The Challenge
Add an additional stretch wrapper to the system to prevent production bottlenecks that drive up labor costs.
The high-speed packaging industry is getting faster, and more flexible driven with innovative disruptor technologies.
18 Realities Every Engineer Must Understand (or Struggle)
Arena Achieves 10% Increase in Production Capacity and 80% Less Downtime on $18M Packaging Line
The Challenge
To determine how many pieces of equipment were functioning normally and which ones needed to be upgraded or replaced.
Leading U.S. Pork Producer Uses Arena Supply Chain Modeling To Establish Regional Strategy
The Challenge
To determine the optimal number of business regions and which assets should be included in each.
Using Discrete Event Simulation to Solve Agent Based Problems
My first foray, over a decade ago, into agent based modeling (ABM) was developing one as a member of store operations for a specialty retailer in Columbus, Ohio. The objective was to model shopper and associate behavior in a store with the primary intent to derive the optimal shopper-to-associate ratio by brand, time of year, and day of week.