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Lean management 

Lean Implementation 

  • Learned core elements of Toyota Production System or Lean Manufacturing.

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  • Learned various tools and methods used to eliminate waste in manufacturing processes.

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  • Identified opportunities for improvement and implemented below tools to eliminate muda (waste):

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  • 5S.

  • Visual Control.

  • Value Stream Map (Current layout to identify waste and improved future layout).

  • Standard Work.

  • Theory of Constraints.

  • PFMEA and Pokayoke

  • Levelled Production.

  • Cellular layout and Load levelling.

  • Just in Time (JIT).

  • Kanban.

  • SMED.

Industrial engineering intern at semiconductor industry

  • Analyzed process and designed value stream map to understand waste material in production. 

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  • Learned various tools and methods used to eliminate waste in manufacturing processes.

 

  • Identified opportunities for improvement and implemented below tools to eliminate waste.

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  • Developed process flow diagram for each process. 

 

  • Analyzed processes and improved processes to increase quality of product and designed new working instructions for operator to standardized process.

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  • Applied SMED to reduce non-value added time and Decreased the cycle time, change over time and increased the productivity allowing for a 30% decrease in total production time.

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  • Implemented Design of Experiment to improve quality of product and eliminate 60% of failure and  reduced 30% of production cycle time.

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Engineer at Gear Manufacturing

  • Performed Time and Motion Study of production to reduce the lead time.

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  • Developed Process Flow Diagrams and Failure Mode and Effect Analysis.

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  • Production Planning in Accordance to design, drawing & material Planning etc and Maintained the muster roll/ time-sheet for the workers.

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  • Established inspection, Quality plan and document procedures.

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  • Minimized rejection scrap and stock.

Design of Experiment - Charging Time of iPhone Analysis

  • Devised a plan to research about the factors affecting charging time of iPhone by statistically analyzing the data records.

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  • Using data from 64 trials of charging iPhone , we examined the factors affecting charging time of iPhone.

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  • Implemented One-way ANOVA, Hypothesis testing and Interval estimation on the data sets and analyzed the data sets using Excel, SAS and Minitab.

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  • Based on the value of R-square and P-value we researched on three most frequently occurring factors affecting the charging time of iPhone.

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  • Implemented 3 level DOE to examine most significant factor affecting on charging time of iPhone

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