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Case Study


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Below observations are based on our experience in implementing varied number of workforce management applications using several suite of products across geographies including Europe, US and India.

Field workforce management is not just about assigning appropriate work to appropriate crew. Numerous factors come into play while selecting the most appropriate crew like skills, availability, shift timings, distance, cost, idle time, contractors and many more. One can guess the complexity level with this example – if 10 jobs have to be scheduled for 1 crew in a day, there are 3.6 million different ways of scheduling. With 50 jobs across 5 crews, there are 93320*10132 different ways of scheduling.

There are various companies coming up with intelligence in managing the workforce and it is quite a competitive space for product companies. This competition is good for the future of utility industry because this competition will eventually lead to emergence of best algorithms and state-of-art intelligent solution.

Through this paper, we will try to envision the solution, the preparation utility should do before going for field workforce management-IT solution and the factors that influence the selection of a particular product.

Coauthored with Hemanth Venukadasula.

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Kaustubh Bhople's picture

Thank Kaustubh for the Post!

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