Performance management of small water treatment plant operations: a decision support system

Abstract

A decision support system (DSS) is developed to optimise the performance of different operations of small water treatment systems to improve day-to-day decisions. The support system includes a data management system, knowledge-based system, performance assessment of different unit processes, fault tree analyses, preventive and corrective actions and event tree analysis (ETA). Performance assessment identifies the critical events (failures) and fault tree analysis identifies the interrelationships between the critical events and the root causes. Fault trees are developed based on the information obtained from events of waterborne outbreaks, responses to questionnaires by the participating smaller utilities, state-ofthe-art literature review and personal communication with the operators. ETA is used to identify the potential health outcomes which are further integrated with the quantitative microbial risk assessment. The developed DSS is advanced to an automated user friendly program that can be used by treatment plant operators to assess system performance.

An empirical study on measuring operating efficiency and revenue of real estate assets in the UAE using data envelopment analysis

“…Under this model, facility managers must constantly balance the cost of service against the benefits and quality being received by the tenants. Real estate operation management also involves plant operations, energy management and environmental compliance (Stein et al , 2017; Mahadevan, 2015). This is in line with the view expressed by Dawidowicz et al (2014) that real estate’s efficiency evaluation should be based on the selection of functions, management and operation methods, valuation and evaluations of real estate operation efficiency.…”

“…Most of the prior studies on real estate used the return on investment as a proxy for the financial performance and did not use all the OPEX, CAPEX and real estate physical characteristics determinants as standard metrics for real estimate operation competitiveness and efficiency. The efficiency measurement diverts the focus of the evaluator from the inputs that have been invested in the real estate and the resulting outputs (Stein et al, 2017). Moreover, the JFM 22,3 majority of the existing literature on real estate has been conducted in developed economies (Hartmann, 2015).…”

“…Thus, this may require a different form of analysis (Virginia and Richard, 2009). The modern market has become increasingly competitive, and that has given rise to the need to constantly evolve and improve real estate performance (Stein et al , 2017). The performance paradigm that follows an input-output-oriented methodology is associated with efficiency theory.…”

A Distributed Hierarchical Framework for Autonomous Spacecraft Control

“…Plant operations, such as water processing [10], have benefited from similar systems management technologies. These examples integrate many processes and subsystems into decision support and autonomous operations tools.…”

Aportación a la implantación del análisis de riesgo en los sistemas de distribución del agua: caso del Cryptosporidium para distintos niveles de desarrollo tecnológico en la potabilizadora

“…Análogamente, Tchorzewska Cieslak et al (2012) con la ayuda de los AAF, describieron los posibles escenarios de fallo en las redes urbanas de suministro de agua, señalando que la contaminación del agua en las tuberías fue consecuencia de unas condiciones técnicas incorrectas, errores humanos y cambios de temperatura. Stein junto a su equipo propusieron los AAF como una herramienta de gestión en una pequeña planta de tratamiento de agua, al proporcionar información sobre las relaciones y combinación de eventos que dan lugar al suceso base y de este modo, aportar la información necesaria para realizar una adecuada toma de decisiones (Stein et al, 2017). En la misma línea, Viñas et al…”