Abstract

Large fleets of engineering assets that are subject to ongoing degradation are posing the challenge of how and when to perform maintenance. For a given case study, this paper proposes a formulation for combined scheduling and planning of maintenance actions. A hierarchical approach and a two-stage approach (with either uniform or non-uniform time grid) are considered and compared to each other. The resulting discrete-time linear programming model follows the Resource Task Network framework. Asset deterioration is considered linearly and tackled with an enumerator-based formulation. Advantages of the model are its computational efficiency, scalability, extendability and adaptability. The results indicate that combined maintenance planning and scheduling can be solved in appropriate time and with appropriate accuracy. The decision-support that is delivered helps the choice of the specific maintenance action to perform and proposes when to conduct it. The paper makes a case for the benefits of optimally combining long-term planning and short-term scheduling in industrial-sized problems into one system.

Highlights

  • With typical lifetimes between 30 and 50 years, industrial process plants are subject to several types of degradation during their life cycle (Wintle et al 2006)

  • This paper addresses the integration of optimal short-term scheduling of maintenance actions and the long-term planning of maintenance operations to increase the operational efficiency

  • Since there are different types of maintenance available and they all do not have the same effect on goodness and Remaining Useful Lifetime (RUL), we introduce one counter for each type of maintenance and one for the remaining useful life

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Summary

Introduction

With typical lifetimes between 30 and 50 years, industrial process plants are subject to several types of degradation during their life cycle (Wintle et al 2006). The long-term planning of shutdowns and turnarounds is essential for companies in the process industries as they need to maintain high production levels and safe and reliable operation. Long-term strategic planning of turnarounds or maintenance actions, and investment projects can be handled with a lower level of detail on long time horizons This takes into account degradation processes with slow dynamics and allows for slack for logistic between distributed production sites. 2 gives an overview of the work on similar integration approaches mostly in the field of production planning and scheduling Even though this problem is common in many subcategories of the process industry, we will focus on a case study of an offshore compressor fleet of an oil and gas company. The conclusion gives an overview of the findings of this work and shows possible directions for future work

Background and literature review
Planning model
Scheduling model
Mathematical formulation
Time grids
Limits
Enumerator formulation
Remaining useful lifetime
Goodness calculation
Allocation of tasks to units
4.10 Resource balance
4.11 Objective function
4.12 Model integration
Hierarchical Model
Fullspace model—uniform time grid
Fullspace model—non‐uniform time grid
Larger case studies—hierarchical model and non‐uniform fullspace model
Discussion
Hierarchical model
Findings
Comparison of the formulations
Summary and conclusions
Full Text
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