Production and operations planning

Predicer: abstract stochastic optimisation model framework for multi-market operation
An open-source modelling framework Predicer, standing for Predictive Decider, for multi-market day-ahead market operation purposes is …
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Predicer: abstract stochastic optimisation model framework for multi-market operation
A data-driven optimization model for the workover rig scheduling problem: Case study in an oil company
After completion, oil wells often require intervention services to increase productivity, correct oil flow losses, and solve mechanical …
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A data-driven optimization model for the workover rig scheduling problem: Case study in an oil company
The p-Lagrangian relaxation for separable nonconvex MIQCQP problems
This paper presents a novel technique to compute Lagrangian bounds for nonconvex mixed-integer quadratically constrained quadratic …
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The p-Lagrangian relaxation for separable nonconvex MIQCQP problems
A Systematic Literature review for the rig scheduling problem: Classification and state-of-the-art
Rigs are critical capital-intensive resources for oil and gas exploration and production operations, such as drilling, completion, and …
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A Systematic Literature review for the rig scheduling problem: Classification and state-of-the-art
Efficient formulation for transportation scheduling of single refinery multiproduct pipelines
Multiproduct pipeline transportation scheduling is a complex operations research problem that is characterized by the movement of the …
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Efficient formulation for transportation scheduling of single refinery multiproduct pipelines
A practical assessment of risk-averse approaches in production lot-sizing problems
This paper presents an empirical assessment of four state-of-the-art risk-averse approaches to deal with the capacitated lot-sizing …
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A practical assessment of risk-averse approaches in production lot-sizing problems
Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models
We present deterministic and stochastic programming models for the workover rig problem, one of the most challenging problems in the …
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Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models
Periodic review system for inventory replenishment control for a two-echelon logistics network under demand uncertainty: a two-stage stochastic programming approach
We propose a novel methodology for replenishment and control systems for inventories of two-echelon logistics networks using a …
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A two-stage stochastic programming model for periodic replenishment control system under demand uncertainty
The inventory control system consists of defining strategies to manage inventory replenishment such that costs involved in ordering, …
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A two-stage stochastic programming model for periodic replenishment control system under demand uncertainty
A new mathematical model for the workover rig scheduling problem
One of the most important activities in the oil and gas industry is the intervention in wells for maintenance services, which is …
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