A leading fruit-based beverage manufacturer needed an optimization-based application to automate its tactical planning process. By leveraging advanced mathematical modeling, OSI developed a solution that enables rapid analysis of asset utilization, ensuring cost-effective decisions regarding additional raw materials and maximizing return on investment (ROI).
The manufacturer needed a better way to handle seasonal production cycles,manage multiple product lines with strict sequencing requirements, and process perishable raw materials efficiently. Cost optimization was critical, but reliance on Excel and MS Project limited visibility into financial impacts. Additionally, the company required a decision-making framework to evaluate surplus raw materials when market conditions changed.
OSI was tasked with developing a tactical planning solution that:
To ensure cost-effective scheduling, OSI implemented a mathematical programming-based approach rather than heuristic-based solutions. The application was built on a platform with:
The application was tested using real production data from the previous year’s harvest. Its user interface was designed to streamline data input and decision-making, ensuring a smooth transition from the manual planning process.
OSI delivered a high-performance tactical planning solution that introduced the client to model-based decision-making for the first time.
Notable features include:
A leading fruit-based beverage manufacturer needed an optimization-based application to automate its tactical planning process. By leveraging advanced mathematical modeling, OSI developed a solution that enables rapid analysis of asset utilization, ensuring cost-effective decisions regarding additional raw materials and maximizing return on investment (ROI).
The manufacturer needed a better way to handle seasonal production cycles,manage multiple product lines with strict sequencing requirements, and process perishable raw materials efficiently. Cost optimization was critical, but reliance on Excel and MS Project limited visibility into financial impacts. Additionally, the company required a decision-making framework to evaluate surplus raw materials when market conditions changed.
OSI was tasked with developing a tactical planning solution that:
To ensure cost-effective scheduling, OSI implemented a mathematical programming-based approach rather than heuristic-based solutions. The application was built on a platform with:
The application was tested using real production data from the previous year’s harvest. Its user interface was designed to streamline data input and decision-making, ensuring a smooth transition from the manual planning process.
OSI delivered a high-performance tactical planning solution that introduced the client to model-based decision-making for the first time.
Notable features include:
