In Quest For Engineering Perfection


Widely accepted notion of desalination as highly matured domain of knowledge is in a sharp contrast with its current industrial implementation techniques. Actually, they form entirely different body of knowledge known as the project engineering and management (PE&M). Its inadequacy is seen in every second project ending up with costs overruns of up to 30% and delays of up to 6 months. PE&M problems account for relaxation of the desalination tenders requirements regarding the plant reliability, maintainability, operability and the work safety to keep the number of bidders sufficient. Situation is even more critical for novel desalination processes; their commercialization may be halted by PE&M failure.

Traditionally PE&M inadequacy is explained by its complex multidisciplinary nature of engineering, and dominance of human factor over facts & evidence in making decisions. Conducted recently by KPMG Global Construction Survey (218 senior executives, 2016) added more details to the aforementioned.

inquest for engineering perfection
  1. Rise in project complexity and associated risks
  2. Big Data volumes rising exponentially
  3. Lack of resources and skills to analyze Big Data
  4. Broad range of desperate platforms and tools wrapped in high volume of manual processes
  5. No integrated, real-time project reporting
  6. Continued high rate of project underperformance (mostly monitored manually).

The survey failed to identify any viable solution of the above mentioned challenges as respondents are stuck in the rut of the old thinking and hardly understand what digital transformation means.

These challenges are addressed by Crenger Cloud Platform (CP) providing ultimate document-to-data conversion, data transparency and integration combined with business automation. These factors boost production rates and the product quality to the levels much higher (by a factor of 10) than the ones envisioned within the frame of conventional technologies.


  1. Project Engineering: Ripe for Disruption?
  2. Artificial Intelligence & Project Engineering Future
  3. What Is Business Digital Infrastructure?
  4. Engineering & Cloud
  5. 5 Things to Consider in Moving to Cloud
  6. Business Model & Strategy
  7. Platform Architecture
  8. Project Coverage
  9. Knowledge: Value, Management, Sharing & Know-How
  10. Engineering Know-How and Project Scope
  11. How to Start Knowledge Management from Scratch?
  12. Engineering Infographics
  13. PFD and P&ID: the art of infographics
  14. How Intelligent Should P&ID Be In Digital Age?
  15. Going beyond P&ID: Spares & Hookups
  16. Information Classification & Project Automation
  17. Standardization & Unification
  18. Basis of Engineering Design
  19. Industrial Internet of Things
  20. Functional Design
  21. Reliability & Maintainability
  22. Engineering & Safety
  23. 8 Deadly Sins of Project Scheduling
  24. Project Scheduling Principles
  25. Resurrecting Concurrent Engineering in Digital Age
  26. Project Costs Prediction
  27. The Power of Project Price Indexation
  28. Handling Megaproject Risks
  29. Why Project Bid/No-Bid Analysis Matters
  30. How to Win Projects and Influence Clients
  31. Disrupting Project Handover
  32. Moving from Document to Data Management
  33. Information Sufficiency and Risk
  34. Outstanding Issues Tracking
  35. Project Scope Change Tracking
  36. Is Project Quality the New Innovation?
  37. In Inspections and Tests We Trust
  38. Data Presentation, Navigation and Mining
  39. Supplier Relationship Management
  40. 5 Steps to Enrich Client - Vendor Experience
  41. User Business Digital Signature
  42. Procurement Evolution from Request to Knowledge Sharing
  43. Extending B2B eCommerce to Megaprojects
  44. Moving to human aided engineering