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[Audio] FORBA – GROUP A CHIRAG KANCHIKERIMATH BHAVY GAIKWAD MAHTAB FARHAN VISWESWARAN CHOCKALINGAM KARTHIKEYAN AWAIS AHMED PRINCE YADAV.

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Introduction. CHR uses Navisphere as a transportation management system. However, this process has challenges, and CHR decided to develop its own in-house transportation optimization tool, "Optimizer" to solve these challenges..

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It is an Independent data-driven model. It facilitates planners to have better control over the process or the entire process by reducing their dependency on capacity representatives and knowledge of customers, lanes, and carriers..

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PURPOSE. The purpose of this model was to improve productivity and outcomes by developing a simplified user interface with a realistic structure and harmonizing it with the existing system..

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USAGE. Design: The software in itself is a simplified toolkit that is easier to use and reduces the processing time than before. Data: To handle the huge volume of data with relative accuracy, live distance and caching strategies were used to calculate safe network routes. A straight-line distance option that uses the haversine formula was embedded for prototyping and testing different algorithms..

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USAGE. Technical: The two major components of the route generation process, are order consolidation and neighborhood search. different algorithms were used to solve a series of 1 Dimensional bin packing problems in order consolidation. By combining orders of 2 different destinations to many destinations, new routes were generated and optimized through neighborhood search..

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USAGE. User Skepticism: Despite the fear of job loss among the planning personnel in the organization, it was agreed collectively to use this new tool, giving the security of the job to the planners by the leadership and development team. However, the planners accept to use the results of this new tool only as a recommendation and not as final results. Therefore before passing the instruction to the capacity representatives, the planners made the decision to accept, modify, or reject the loads. If certain loads were rejected it was reintegrated into the optimization process..

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USER OF THE MODEL. Since its implementation, it has been widely used by planners and logistics analysts of TMC the service provider of CHR on a daily and weekly basis. It is predominantly used to optimize transportation networks also in addition CHR’s clients, and large multinational shippers are also using this service from CHR to regulate and optimize their Logistics operations..

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LEARNING. Despite the fears of job loss with the implementation of this new system, it was realized that they were able to predict better outcomes, and optimize results thereby improving their overall efficiency. Also, they were able to process and obtain these better-quality results more quickly than before..

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EVALUATION. Setup Time: Optimizer save users time setting up customer profiles compared to using commercial software, and this is achieved by full integration with Navisphere’s rating systems. Faster Adoptability: Since the planners need hefty prior experience, the Optimizers' algorithm made it easier to do a week of experience planners' work in an hour or two.

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EVALUATION. User Productivity Improvement : The new model also helps planners in getting more frequent and targeted feedback by connecting with the customers also to understand the customer needs in more depth. The learning curve also shows the improvement in their working with the model. Reduction of Software Maintenance Fee: by using the optimizer, the CHR was able to lessen the number of commercial software licenses which were required before by 98%..

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EVALUATION. Faster and Better Load Planning: Since its implementation, it has substantially improved planning personnel's productivity and generated better quality results. Also, it has enabled to handle complex customer profiles with relative ease and in a quick time. Addition of new business: With proper customer engagements technical development team elucidated Optimizer and its fusion with Navisphere..

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THANK YOU.