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Staff Planning Optimization Case Study

An Operations Research optimization case study solved through Python Pyomo lib

Business Problem & Objective

An insurance company InsurePlus wants to find the optimal number of staff that they need for their insurance application approval process for the calendar year 2021. The objective is to optimize the total cost for the application approval process by distributing the right number of applications between the FTEs and the vendors while meeting the monthly demand for each state at the same time.

Please refer to 'Staff Optimization Case Study - Problem Statement.docx' for more details about this case study

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An Operations Research optimization case study solved through Python Pyomo lib

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