This study contributes significantly to the field of process plant instrumentation by:
Addressing Selection Challenges: Provides a structured approach to overcome the difficulties in selecting field instruments and sensors, ensuring adherence to specified conditions and maximizing operational efficiency.
Developing MCDM Method: Introduces a comprehensive Multi-Criteria Decision Making (MCDM) method tailored specifically for instrument selection in process plants, serving as a valuable resource for practitioners.
Automated Tool Creation: Develop an automated tool using Visual Basic for Applications (VBA) and built-in Excel formulas to facilitate the implementation of various MCDM techniques, streamlining the selection process.
Exploring Alternative Methodologies: Investigates the use of Decision Trees and Machine Learning for instrument selection, providing insights into their efficacy and potential for optimization, thereby broadening the scope of available methodologies.