Harish Dasari
Manager-Manufacturing & Industrial Engineering at Schneider Electric
- Role
- Manager-manufacturing & Industrial Engineering at 施耐德电气
- Location
- Hyderabad, IN
- LinkedIn followers
- 500 followers
About Harish Dasari
Expertise with 7+ years of Experience in Implementing Lean methodologies such as Standard Work using MOST, NVA elimination by VSM, Simulating the line design by FlexSIM, Capacity management using CAMA and Queue Simulation, Quality control by Lean six sigma Black belt methodology and PFMEA, Assembly Line balancing using LADM approach, Ergonomics by RULA, REBA, MFA, Manpower planning by Crawford Learning curves, TPM for Overall process Optimization and OEE enhancement, Facility and layout planning using AUTOCAD, Data analytics using TABLEAU, Project planning using MS Project, tracking and Project risk management, vendor management, Inventory management, Process Engineering
Experience
Manager-manufacturing & Industrial Engineering
Apr 2021 — Present · Hyderabad, IN
Responsible for CAMA (capacity management)-Optimum assembly line Design using LADM (line architecture and design methodology )- customer lead time handling using Queue Simulation - focused improvement of process robustness using Jidoka and RPN reductions - optimum material flow design using Kanban methodology - Improving plant overall IE, KE, KD KPIs using various advanced lean tools - Responsible for implementation automation projects to improve plant DLP ( Direct labor Productivity)- Responsible for annual aggregate planing and for optimum budgeting.
Education
APIIIT, Rajiv Ghandhi University of Knowledge Technologies,Govt of Andhra Pradesh
Pre University Couse-Intermediate, M.Bi.P.C, Distinction
2009 — 2011
APIIIT, Rajiv Ghandhi University of Knowledge Technologies,Govt of Andhra Pradesh
Bachelor of Technology - BTech, Mechanical Engineering, Distinction
2011 — 2015
Sri Vishwashanthi High School
10th Class, Maths, Science, Social studies, Distinction
2002 — 2009
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech, Digital Manufacturing & Bigdata analytics
2021 — 2023
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