Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market

Rokhforoz, Pegah; Gjorgiev, Blazhe; Sansavini, Giovanni; Fink, Olga

doi:10.1016/j.ress.2021.107495

Cited by 24 publications

(9 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each cell of the matrix corresponds to an outcome of the game, which is a vector of wins. This matrix of payoffs is called the strategic form of the game as in [13]. As the possible longitudinal actions for an airplane are to accelerate or to brake (symbolized by the terms Accelerate and Brake), a payoff matrix for an n-player game is an n-dimensional matrix of size 2n and whose payoff vectors are of size n. This implies 32 variables to be determined.…”

Section: Modeling Of Basic Two-player Situationsmentioning

confidence: 99%

Agent-based management and coordination of aircraft at intersections

Ouassam

DABACHINE

Hmina

et al. 2023

Preprint

View full text Add to dashboard Cite

This work presents a game-theoretic approach to address the problem of coordination and scheduling of aircraft at intersections, with the goal of avoiding conflicts and potential collisions. The proposed algorithm enables simple agents to work together in a way that leads to cooperative behaviors, resulting in equilibria that improve the overall efficiency of the system. The researchers tested and compared the game-theoretic approach with a centralized approach, specifically First-Come-First-Serve (FCFS), using data from Mohammed 5 Casablanca airport. The initial results suggest that the game-theoretic model is promising, despite its higher complexity. The approach has the potential to improve the overall coordination and scheduling of aircraft, leading to a more efficient and safe system. The proposed game-theoretic approach is designed to improve the coordination and scheduling of aircraft at intersections, ultimately leading to a safer and more efficient system. The approach is shown to be promising in initial testing, offering a potentially superior alternative to centralized approaches like FCFS. This research highlights the potential benefits of game-theoretic models in addressing complex coordination problems in multi-agent systems.

show abstract

Section: Modeling Of Basic Two-player Situationsmentioning

confidence: 99%

Agent-based management and coordination of aircraft at intersections

Ouassam

DABACHINE

Hmina

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Maintenance scheduling. Maintenance scheduling with the aim of increasing the system reliability and availability has been addressed in many applications such as electrical market [9], [10], network transportation [11], [12], and manufacturing system [13], [14].…”

Section: Related Workmentioning

confidence: 99%

Maintenance scheduling of manufacturing systems based on optimal price of the network

Rokhforoz¹,

Fink²

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Goods can exhibit positive externalities impacting decisions of customers in socials networks. Suppliers can integrate these externalities in their pricing strategies to increase their revenue. Besides optimizing the prize, suppliers also have to consider their production and maintenance costs. Predictive maintenance has the potential to reduce the maintenance costs and improve the system availability. To address the joint optimization of pricing with network externalities and predictive maintenance scheduling based on the condition of the system, we propose a bi-level optimization solution based on game theory. In the first level, the manufacturing company decides about the predictive maintenance scheduling of the units and the price of the goods. In the second level, the customers decide about their consumption using an optimization approach in which the objective function depends on their consumption, the consumption levels of other customers who are connected through the graph, and the price of the network which is determined by the supplier. To solve the problem, we propose the leader-multiple-followers game where the supplier as a leader predicts the strategies of the followers. Then, customers as the followers obtain their strategies based on the leader's and other followers' strategies. We demonstrate the effectiveness of our proposed method on a simulated case study. The results demonstrate that knowledge of the social network graph results in an increased revenue compared to the case when the underlying social network graph is not known. Moreover, the results demonstrate that obtaining the predictive maintenance scheduling based on the proposed optimization approach leads to an increased profit compared to the baseline decision-making (perform maintenance at the degradation limit).

show abstract

“…7 In addition, Zarezadeh and Asadi 8 considered a multicomponent coherent system that detects failures due to external shocks and probed the optimal PM time for the system according to the estimated cost function and system reliability. Rokhforoz et al 9 suggested that condition-based maintenance (CBM) is able to detect system jeopardy in the early stage; thus, required repairs can be performed in advance. Bautista et al 10 used CBM to address the degradation of a production system, which conforms to a homogeneous gamma process.…”

Section: Introductionmentioning

confidence: 99%

Optimal maintenance policy for imperfect production systems using reliability function and defect rate

Ho,

Huang,

Huang

2024

Appl Stoch Models Bus & Ind

View full text Add to dashboard Cite

This study examines how a manufacturer can improve the robustness of an imperfect production system by implementing maintenance activities, which can be measured in terms of system reliability and product failure rate. A two‐dimensional maintenance policy comprising system reliability and the product defect rate is proposed to assess maintenance activity costs. The optimal thresholds of the two dimensions are analyzed to investigate the trade‐off between cost and system quality. A numerical example is provided to verify the proposed model's effectiveness. The results showed that the less stable the system, the greater the total costs incurred; therefore, lower stringent thresholds may be set to prevent frequent maintenance. Moreover, a sensitivity analysis is performed to investigate the essential parameters that significantly affect maintenance decisions. The results showed that the thresholds of the reliability function and defect rate significantly impact total costs. Any inaccurate assessment of system usage could lead to incorrect estimations and a substantial increase in cost.

show abstract

Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market

Cited by 24 publications

References 32 publications

Agent-based management and coordination of aircraft at intersections

Agent-based management and coordination of aircraft at intersections

Maintenance scheduling of manufacturing systems based on optimal price of the network

Optimal maintenance policy for imperfect production systems using reliability function and defect rate

Contact Info

Product

Resources

About