1. Frequency, Routing and Mode Estimation: Developed frequency routing and mode determination package along with minimizing inventory cost. This software package reduces the cost based on shipment frequency, routing and mode selection simultaneously. It selects frequency and appointment time in a way that suppliers supplying automotive (and other) clients have smooth operations within supply chain. This package went through many enhancements to give fully operational solutions and expected to reduce cost by $5 million/year.
  2. Customized Pallet Optimizer for food client: Developed and deployed the Pallet Optimizer tool by developing innovative heuristic algorithms for company’s customer. This tool decides how to load different types of food product in the pallet meeting complex stacking constraints and minimizing number of pallets. This has the potential to provide cost savings exceeding $6 million/year after full implementation. Implemented Pallet Optimizer for company’s customer, fixing data issues. Developed VBA in Excel based batch file tester for testing before any implementation after enhancements.
  3. Carrier Bid Optimizer Model: This decides which carrier bids to be accepted to minimize total transportation costs. It follows limits on number of carriers, multiple lane discounts etc.
  4. Resource Scheduling Algorithm: This algorithm takes individual route with starting and ending time as input. It needs to identify number of trucks, drivers, trailers to optimize total cost. Multiple MIPs were written to solve this complex problem in stages to solve large problems and getting close to optimal results.
  5. Automatic Route Engine Testing System: It statistically generates random problems for which routing engine of employer was tested under different permutations. It maintains statistics of time taken, failure, … indicating pattern in response of different routing algorithms.
  6. Assigning team of managers and engineers to multi phase project with phase level deadline optimizing profit: A mathematical MIP model using cplex was written for assigning team of managers and engineers to projects with multiple phases with project and phase level deadline constraints optimizing hiring and overtime cost. Problem was solved using multiple MIP models as the single MIP was too large for cplex.
  7. Balancing service level achievement across contact types in multi-skill, multi-media environment: Wrote combination of MIP models and heuristic algorithm to balance service level achievement in ITes industry across contact types in multi-skill, multi-media environment. Multiple skills refer to service, sales, marketing, … skills. Multi-media refers to call, chat, email, outbound etc. Patent “Method and System for Prediction of Contact Allocation, Staff Time Distribution, and Service Performance Metrics in a Multi-Skilled Contact Center Operation Environment” was filed in September 2014.
  8. Innovative algorithm for strategic workforce planning for back office work: Oscillations in workforce requirement with the objective of meeting service level goal were addressed by this algorithm. Developed a prototype and final model in C# using advanced customized dynamic backlog control algorithm. Algorithm found optimal solution in an environment with multiple local optima.
  9. Identifying extra time or under time in contact center workforce planning for multi media environment: Strategic workforce planning with capture rate constraints, AHT difference, agent preference, chat concurrency is filled with challenges. Model in multi media environment with these challenges was extended.
  10. Data Analytics: Identifying box consumption pattern and establishing replenishment policy. Analyzing line haul rate chart and fulfillment center inventory data to study European market’s demand. Impact of changing cutoff time from fulfillment center was also analyzed in German supply chain network.
  11. Locker Locations: Worked on project of identifying optimal locker locations in UK, impact of number of locker locations on cost, minimizing multiple delivery attempts by driver etc.
  12. Fresh and Prime Now: Worked on impact of different algorithmic approaches on minimizing total cost of fresh and prime now deliveries.