Rushikkesh M Kadam

• I have a blend of Manufacturing & Supply Management Business knowledge, IT SAP Techno functional, Data Engineering skills & Agile methodologies skills with over 18 years of experience in the Heavy Engineering/ Automobile category. I come from an Innovation culture that fuels my passion to work on new ideas & POCs working across business and IT verticals (SAP & Data Analytics).
• Have worked on Industry 4.0 solutions (Smart Connected Factory) initiative to build Digital Data Factory for John Deere @ Enterprise level.
• Have worked with multiple cross-functional teams across Manufacturing business, Operations Engineering, Order Fulfillment processes, Supply Chain Management, and Material Flow.
• On the IT side have worked extensively with SAP Technical & Functional teams in the areas of Materials Management, Production Planning modules & Data & Analytics area. In my previous role as IT Product Owner Global IT India Data & Analytics Domain - MAI Delivery Team, I worked on MAI program POC which primarily focused on reducing assets & integrating disparate data sources coming from Supply Chain Management, Material Flow, Manufacturing Engineering,Material Logistics & OFP.
• The POC on (MAI)Inventory Management, SCM & OFP reporting was presented in Feb 2014 to the Global IT Director (SAP) and then this POC turned from an Innovation POC to a Global IT Critical initiative. Proven Track record of execution, working in scaled agile space and successfully launching 15+ products across 6 scrum teams in 2 different geographies (USA & India).
• Have a proven track record of turning an Innovation POC into a Global IT critical initiative (MAI) resulting in overall savings of $ 40M to date (FY16 – FY22).

Date of birth 18-02-1979 Place of birth Mumbai Gender Male Nationality Indian Marital status, , LinkedIn linkedin.com/in/rushi-kadam- b5a39a9 Interests Watching Documentaries on National Geographic Travel Volunteer for Teaching & counselling students to explore Tech career path

• Winner of 2019 Global IT Performance Award (a prestigious VP award) on account of SCA project savings.
• Winner of 2017 Global IT Performance Award (a prestigious VP award) on account of MAI project savings.
• Winner of 2017 Winter Hackathon in Smart Co‑creation series. Emerged as a winner twice in a year.
• Contributed to potential asset reduction to Deere by proposing and implementing the idea of Asset Optimization. The Asset Optimization project is now termed MAI (Manufacturing Analytics & Insights), the project started with an idea and is now a part of a Global IT critical initiative.
• Winner of 2016 Q2 Commendable team award. Received 2015 India IT Hackathon award for MIS reporting to Factory Leadership. Received 2014 Q3 Star Team of the month award for conducting Techno fair event and brainstorming ideas. These ideas were further evaluated with the SAP Innovation Leadership team in Moline.
• Developed an In‑House tool for the Master Scheduling & OFP Team which resembles the chameleon tool of SAP. This is used for what-if Analysis scenarios for respective factories. This has saved Deere $100,000 per annum. Worked as a power user for all Region 4 & Region 2 factories in the areas of Materials Management & Production Planning.
• Contributed to potential asset reduction to Deere by proposing and implementing the idea of Asset Optimization. The Asset Optimization project is now termed MAI (Manufacturing Analytics & Insights), the project started with an idea and is now a part of a Global IT critical initiative.
• Winner of 2016 Q2 Commendable team award. Received 2015 India IT Hackathon award for MIS reporting to Factory Leadership. Received 2014 Q3 Star Team of the month award for conducting Techno fair event and brainstorming ideas. These ideas were further evaluated with the SAP Innovation Leadership team in Moline.
• Developed an In‑House tool for the Master Scheduling & OFP Team which resembles the chameleon tool of SAP. This is used for what-if Analysis scenarios for respective factories. This has saved Deere $100,000 per annum. Worked as a power user for all Region 4 & Region 2 factories in the areas of Materials Management & Production Planning.
• Contributed to potential asset reduction to Deere by proposing and implementing the idea of Asset Optimization. The Asset Optimization project is now termed MAI (Manufacturing Analytics & Insights), the project started with an idea and is now a part of a Global IT critical initiative.
• Winner of 2016 Q2 Commendable team award. Received 2015 India IT Hackathon award for MIS reporting to Factory Leadership. Received 2014 Q3 Star Team of the month award for conducting Techno fair event and brainstorming ideas. These ideas were further evaluated with the SAP Innovation Leadership team in Moline.
• Developed an In‑House tool for the Master Scheduling & OFP Team which resembles the chameleon tool of SAP. This is used for what-if Analysis scenarios for respective factories. This has saved Deere $100,000 per annum. Worked as a power user for all Region 4 & Region 2 factories in the areas of Materials Management & Production Planning.

Dynamic Sequencing Project (MTS & MTO Factories)

Problem Statement

• Primary focus on providing real-time alerts on Material availability of the variants lined up based on the Production plan by the Master scheduler. The project will serve as a Foundational capability for SCF (Smart connected factory) initiative in India
• The current process is completely manual and is done on spreadsheets. 98% of the materials of the vehicle factory are procured externally. In case of any shortages encountered on the Engine & Transmission line which feeds the vehicle assembly line, the entire plan has to be updated & communicated to all stakeholders.
• At least 2-3 hours of manpower is lost on account of updating the revised plan. Pune factory does not have a frozen lineup schedule and during peak volumes, the schedule might be subjected to a change in less than an hour as well.

Solution

MAI Dynamic Sequencing Tool Enables Production Planner with Real Time Material Availability for individual BMC/Material Variant for all the critical components , on top of it user can access bill of materials for BMC/Material Variant.

• On the screen user can upload the daily plan into MAI Screen and Check the Material Availability, based on material availability user can change the sequence and publish the information as single source of truth to all the stake holder
• Engine Factory
• Transmission Factory
• Supply Chain Management
• Based on Daily Sequence Plan, Production supervisor at Vehicle Factory can Launch based on the planning that is available in dashboard.

Complexities associated with Dynamic sequencing Tool

• Dynamic sequencing is used by OFP planner to know real time material availability for launching products, for that we need BOM data but with existing tables in Hana system we are getting 200 percent BOM data where we need only 100 percent BOM, we faced challenges in bringing 100 percent BOM data ,with our previous experience in SAP, we understood variant configuration from SAP system and able to match characteristics of variant to get 100 percent BOM data. •
• As Waterloo vehicle factory plans nearly 250+ variants for a day, we faced challenges with performance also, with 100 percent BOM and current stock determination for 250+ variants SAP Hana model itself it is taking 18 - 20 mins, we did performance improvement in phases and in first phase we are able to bring it down to 3 mins and later we brought it down to 1 min and now we are able to get it in 10 to 15 secs.
• Pune factory do sequence plan based on variants and not based on prod orders but they do launching based on production orders so it has been a challenge for us to bring the backlog(leftover) of yesterday's plan vs launched and show it in today's plan because there is no link exists between production orders and sequence plan, and also latest challenge we are facing is to bring pre-launch items which have been picked up from tomorrow's plan to launch it today.

• DMDII Initiative: Digital Manufacturing Design Innovation Institute (DMDII) is a federal USGovernment-sponsored program to promote R&D and ensure U.S. competitiveness in the Manufacturing sector. The DMDIIis headquartered in Chicago but is actually a collection of academic, large industry, small/medium enterprise, and government workforce groups working to solve industry-defined issues. The publication is a white paper submitted in joint collaboration with Iowa State University, Georgia Tech University, The Boeing, Deere & Company, Pro planner & Factory right. Deere was represented by three of employees.
• Waterloo works Inventory Management project works : One of my projects got published as ETEC (Enterprise Technology Engineering Center) newsletter to the worldwide leadership team in Feb 2010 edition showcasing my project capabilities.

• Scrum @ Scale - March 2022
• Certified Scrum Product Owner - Dec 20212
• Certified Scrum Master - Oct 2021