Value engineering

Value engineering

1. objective

   • Transfer Innovative Technologies
   • Optimization of Resources (Time & Money)
   • Significant Cost Savings/Avoidance
   • Performance Improvement

2. Value Engineering is a tool/method to enhance QUALITY

3. Poor value

   • Fixation with previous design concepts
   • Incorrect assumptions based on poor information
   • Outdated or inappropriate design standards
   • Failure to utilize latest technologies
   • Not enough time for project formulation and/or design
   • Design based on habitual thinking or mistaken beliefs
   • Failure to network with customer – poor definition of needs and wants
   • poor coordination among designers •

4. value inversly propotional to cost

5. ~ value engi

   • Cost Cutting Design Review Project Elimination Scope Reduction Quality Reduction Detailed Cost Estimating  Redesign

6. Phases

   • Preparation / organization
   • Information gathering
   • Function analysis
   • Speculation / creativity
     • make many alternatives which provide basic functions without considering their practicality
   • Analysis
   • Development
   • Preparation

7. Framework

   • KAA iot
   • Cisco IOT platform
   • ZETTA iot
   • Salesforce IOT
   • DeviceHive iot
   • Oracle IOT
   • SAP iot
   • Microsoft Azure iot
   • Google Cloud platform
   • IBM Watson
   • AWS iot

8. iot implementation cost

   • Hardware / software
   • Infrastructure and retrofitting
   • Security Measure
   • Subscription Fee
   • Consultation Services
   • Planned Downtime

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