Abstract
We present a Mixed Integer Non-Linear Programming (MINLP) model capable of choosing the best design considering economic profit, availability, and safety. The model takes into account the probability of suffering a failure in a year of operation, as well as the revenue generated and the probability of the process units of being in a non-functional state. The inclusion of programmed maintenances of a specified duration is considered in the model, assuming an equal distribution in the maintenances time. The performance of the model is illustrated by small examples to help the reader to better understand the model, before applying it to the methanol synthesis case study, where the economic and safety objectives are represented in a Pareto front. The results showcase the possibility of considering safety during the early design stage.
Highlights
During the design of an industrial process, one of the more important considerations besides the obvious economic and environmental aspects, is the availability of the plant
It emphasizes the development of methods to evaluate and optimize reliability/availability in a quantitative manner
The objective of this paper is to extend that said model to take into account the availability, but the reliability and safety as well
Summary
During the design of an industrial process, one of the more important considerations besides the obvious economic and environmental aspects, is the availability of the plant. We introduce the possibility of adding maintenances to the operational year, which impact both the safety and the availability, and the expected profit While this is technically not a scheduling model, such as the likes of Kondili et al (1993) or AlMutairi et al (2008) among others, since we do not consider either continues or discontinuous slots of time, nor if we have to start a machine at a set time in the process, the resultant model can provide the optimal time of work for each machine in the process during a year of operation, since it is clear that this operation time is closely related to both the availability and the safety objectives.
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