An application of a multi-agent auction-based protocol to the tactical planning of oil product transport in the Brazilian multimodal network

Banaszewski, Roni F.; Arruda, Lúcia Valéria Ramos de; Simão, Jean Marcelo; Tacla, César Augusto; Barbosa‐Póvoa, Ana Paula; Relvas, Susana

doi:10.1016/j.compchemeng.2013.06.007

Cited by 18 publications

(8 citation statements)

References 12 publications

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“…Zhang et al [2013] developed mathematical models for fair electricity pricing microgrid, scheduling, planning, and in Zhang et al [2017] -carbon capture and storage following cooperative Nash approach [Nash, 1950]. Nash equilibrium has been applied in supply chains and scheduling [Zamarripa et al, 2013, Gjerdrum et al, 2002, Banaszewski et al, 2013, Pira and Artigues, 2016, Ortiz-Gutierrez et al, 2015, Tushar et al, 2014. General supply chain game theory and transfer prices have been covered by Simchi-Levi et al [2004], Rosenthal [2008].…”

Section: Introductionmentioning

confidence: 99%

Integration of environmental aspects in modelling and optimisation of water supply chains

Koleva

Calderón

Zhang

et al. 2018

Science of The Total Environment

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Climate change becomes increasingly more relevant in the context of water systems planning. Tools are necessary to provide the most economic investment option considering the reliability of the infrastructure from technical and environmental perspectives. Accordingly, in this work, an optimisation approach, formulated as a spatially-explicit multi-period Mixed Integer Linear Programming (MILP) model, is proposed for the design of water supply chains at regional and national scales. The optimisation framework encompasses decisions such as installation of new purification plants, capacity expansion, and raw water trading schemes. The objective is to minimise the total cost incurring from capital and operating expenditures. Assessment of available resources for withdrawal is performed based on hydrological balances, governmental rules and sustainable limits. In the light of the increasing importance of reliability of water supply, a second objective, seeking to maximise the reliability of the supply chains, is introduced. The epsilon-constraint method is used as a solution procedure for the multi-objective formulation. Nash bargaining approach is applied to investigate the fair trade-offs between the two objectives and find the Pareto optimality. The models' capability is addressed through a case study based on Australia. The impact of variability in key input parameters is tackled through the implementation of a rigorous global sensitivity analysis (GSA). The findings suggest that variations in water demand can be more disruptive for the water supply chain than scenarios in which rainfalls are reduced. The frameworks can facilitate governmental multi-aspect decision making processes for the adequate and strategic investments of regional water supply infrastructure.

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Section: Introductionmentioning

confidence: 99%

Integration of environmental aspects in modelling and optimisation of water supply chains

Koleva

Calderón

Zhang

et al. 2018

Science of The Total Environment

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“…This can be seen from the proliferation of game-theoretic publications in SCM (i.e. Leng and Parlar, 2010;Zhao et al, 2010;Banaszewski et al, 2013;Zhao et al, 2013;Cao et al, 2013;Li et al, 2013;Chu and You, 2014;Yue andYou, 2014, Chu et al, 2015;Hjaila et al, 2015Hjaila et al, , 2016b.…”

Section: Introductionmentioning

confidence: 99%

“…Many works have been carried out to optimize decentralized SCs through GT based on cooperative and non-cooperative systems. Based on cooperative systems, Banaszewski et al (2013) propose a cooperative multi-agent auction-protocol for a Brazilian oil SC to identify the oil products distribution plan (types, amounts, and allocation). However, the multi-agentbased systems are built on cooperative enterprises, in which they agree to form a coalition towards a shared objective, regardless of the individual objectives.…”

Section: Introductionmentioning

confidence: 99%

Integrated game-theory modelling for multi enterprise-wide coordination and collaboration under uncertain competitive environment

Hjaila

Puigjaner

Laínez³

et al. 2017

Computers & Chemical Engineering

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In this work, an integrated Game Theory (GT) approach is developed for the coordination of multi-enterprise Supply Chains (SCs) in a competitive uncertain environment. The conflicting goals of the different participants are solved through coordination contracts using a non-cooperative non-zero-sum Stackelberg game under the leadership of the manufacturer. The Stackelberg payoff matrix is built under the nominal conditions, and then evaluated under different probable uncertain scenarios using a Monte-Carlo simulation. The competition between the Stackelberg game players and the third parties is solved through a Nash Equilibrium game. A novel way to analyze the game outcome is proposed based on a win–win Stackelberg set of “Pareto-frontiers”. The benefits of the resulting MINLP tactical models are illustrated by a case study with different vendors around a client SC. The results show that the coordinated decisions lead to higher expected payoffs compared to the standalone case, while also leading to uncertainty reduction.Peer ReviewedPostprint (author's final draft

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“…The work of Cao et al (2007) develop a Pinch Multi-Agent Genetic Algorithm (PMAGA) for network optimization of water-use at the tactical level where stakeholders cooperate to minimize the total used freshwater. Banaszewski et al (2013) propose an auction protocol tactical model multi-agent for a Brazilian oil SC to identify the oil products transport plan (types, amounts, allocation). However, the multi-agent-based negotiations are oriented to cooperative situations, in which all participating agents cooperate towards a common objective function.…”

Section: Introductionmentioning

confidence: 99%

Scenario-based dynamic negotiation for the coordination of multi-enterprise supply chains under uncertainty

Hjaila

Laínez-Aguirre

Puigjaner

et al. 2016

Computers & Chemical Engineering

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A novel Scenario-Based Dynamic Negotiation approach is proposed for the coordination of decentralized Supply Chains under uncertainty. The relation between the involved organizations (client, provider and third parties) and their respective conflicting objectives is captured through a non-zero-sum and non-symmetric roles SBDN negotiation. The client (leader) designs coordination agreements considering the uncertain reaction of the provider (follower) resulting from the uncertain nature of the third parties, which is modeled as a probability of acceptance. Different negotiation scenarios are studied: i) Cooperative, and ii) Non-Cooperative and iii) Standalone cases. The use of the resulting models is illustrated through a case study with different vendors around a "leader" (client) in a decentralized scenario. Although the usual cooperation hypothesis will allow higher overall profit expectations, using the proposed approach it is possible to identify non-Cooperative scenarios with high individual profit expectations which are more likely to be accepted by all partners.

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An application of a multi-agent auction-based protocol to the tactical planning of oil product transport in the Brazilian multimodal network

Cited by 18 publications

References 12 publications

Integration of environmental aspects in modelling and optimisation of water supply chains

Integration of environmental aspects in modelling and optimisation of water supply chains

Integrated game-theory modelling for multi enterprise-wide coordination and collaboration under uncertain competitive environment

Scenario-based dynamic negotiation for the coordination of multi-enterprise supply chains under uncertainty

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