Digital Transformation in Manufacturing
Digital Transformation in Manufacturing
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The objective of this case study is to identify the key requirements and propose a solution to automate inventory and transportation processes. By implementing a 2-bin Kanban system integrated with RFID and ERP systems, the goal is to eliminate manual errors, improve stock visibility, enhance operational efficiency, and ensure timely restocking and transportation.Â
The objective of this case study is to identify the key requirements and propose a solution to automate inventory and transportation processes. By implementing a 2-bin Kanban system integrated with RFID and ERP systems, the goal is to eliminate manual errors, improve stock visibility, enhance operational efficiency, and ensure timely restocking and transportation.Â
Rohit_Dadheech_Kanban_Process.pdfInbound KPI Visualization
The objective of this case study is to provide details of various performance metrics for inbound logistics, including GRN productivity, near-miss incidents, wrong labeling, PO errors, and transit damages. It compares actual vs. target values for each category across different months and years, with detailed breakdowns for incidents, errors, and damages. The data also includes specific performance levels, escalation, and reaction limits for each metric. Monthly and yearly targets and actual performance are tracked, with a focus on discrepancies such as pending invoices and incorrect labels. It provides an in-depth look at operational efficiency and issue tracking within logistics processes.
The objective of this case study is to provide details of various performance metrics for inbound logistics, including GRN productivity, near-miss incidents, wrong labeling, PO errors, and transit damages. It compares actual vs. target values for each category across different months and years, with detailed breakdowns for incidents, errors, and damages. The data also includes specific performance levels, escalation, and reaction limits for each metric. Monthly and yearly targets and actual performance are tracked, with a focus on discrepancies such as pending invoices and incorrect labels. It provides an in-depth look at operational efficiency and issue tracking within logistics processes.
Inbound_Visualization_rotated.pdf
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