Demand and Supply Planning for a Large Fast Food Chain

Demand and Supply Planning for a Large Fast Food Chain


HAVI is a $5 billion global company and McDonald’s long-time supply chain and packaging partner. They provide services for supply chain management, packaging, logistics, recycling and waste. When McDonald’s wanted to build on the success of the All-Day Breakfast launch by expanding all-day availability to more menu items at 14,000 restaurants, they encountered a number of challenges (menu complexity, new equipment needs, space constraints).

All Day Breakfast Expansion

McDonald’s business objective was to equip and staff its kitchens to obtain the best financial yield possible for the menu expansion. Working with HAVI, a simulation model was created that reflected the enormous complexity of the supply chain and operations across the 14,000 restaurants. The value of the model was to enable more informed decision making for equipment purchases and staffing.


HAVI employs an iterative hypothesis-driven process for its simulation and analytics, balancing data with human experience.

Hypothesis-driven process

To meet McDonald’s requirements, the model considered:

Using AnyLogic, these requirements could be met and simulated, along with the spatial constraints and the wide variety of equipment and labor configurations. Decision variables of the simulation model included:

Layout of a modeling kitchen

On the output side, it was vital to measure the customer experience. As a result, factors such as service time, product freshness, and waste, among other service metrics, were also included in the model.

Finally, according to the rigor of HAVI’s analytics process, the model was subject to validation and calibration, including trials in McDonald’s test kitchen. The resulting model captured the necessary metrics and provided simulation comparable to the real world. In short, the AnyLogic simulation assisted in the decision-making process, providing McDonald’s with the best financial yield for the desired menu expansion.

The power of agent-based modeling in AnyLogic allowed the nature of the system to be captured as it is in the real world. The characteristics and parameters of equipment, labor, and the environment they operate in, can be modeled as necessary and custom objects developed for re-use.

HAVI chose to use AnyLogic simulation due to its support for multiple modeling methods, with agent-based, discrete event, and system dynamics working together inside one system for the most holistic and powerful results.


The AnyLogic model delivered results for a variety of demand profiles and restaurant configurations. This enabled HAVI to provide tailored recommendations.

These recommendations covered equipment needs and cost estimates for meeting customer service level thresholds in various scenarios. The benefits of which produced proposed equipment cost avoidance and optimized cost tradeoffs for labor and equipment.

Without AnyLogic simulation modeling, time and cost constraints associated with exhaustive physical tests would have prevented tailored recommendations.

Project presentation by Nate DeJong, HAVI


Similar case studies

  • ATOM: Digital Twin of Siemens Gas Turbine Fleet Operations

    The Agent-based Turbine Operations & Maintenance (ATOM) model is a digital twin simulation model developed by decisionLab Ltd and Siemens. The digital twin emulates the global maintenance repair and overhaul (MRO) operations of Siemens’ aero-derivative gas turbine division. Driven by live data already available within the...

    Read more
  • Improving Plane Maintenance Process with AnyLogic Simulation Software

    The military aircraft maintenance turnaround process (the in-between time when the aircraft touches down, is refueled, rearmed, and inspected, in order to be released) is complex and, being fairly time-consuming, includes multiple interactions and parallel workflows. Engineers from Lockheed Martin, one of the largest companies...

    Read more
  • Modeling of Banca d'Italia Back Office System

    Banca d'Italia processes a certain amount of manual credit transfers every year. These transfers cannot be processed automatically and require two divisions of employees in the back office of the bank. The bank wanted to determine if merging these two divisions would be beneficial. The consultants employed AnyLogic’s unique...

    Read more
  • Analysis of Management Strategies for the Aircraft Production Ramp-up

    The Airbus Group joined the European Union ARUM (Adaptive Production Management) project, which is focused on creating an IT solution for risk reduction, decision-making, and planning during new product ramp-ups. The project is aimed mainly at aircraft and shipbuilding industries. Simulation was chosen as a part of the ARUM...

    Read more
  • Sales and Marketing Automation System Rollout

    Vendasta created automation system to gather all necessary sales and marketing tools on a single platform and minimize the manual work of managers. They needed qualitative research of partner adoption, running automations, and workflow optimization. The company applied system dynamics modeling to explore different scenarios and...

    Read more
More case studies

Get a brochure with industry case studies