Market Coordination Under Non-Equilibrium Dynamics

Dragicevic, Arnaud

doi:10.1007/s11067-018-9414-1

Cited by 2 publications

(1 citation statement)

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“…The purpose of such a choice is related to some of the emerging properties of complex systems. As a matter of fact, such systems are regarded as efficient if they manage to produce high coordinatedness among their constituent parts ( [35]). For instance, catallactics or spontaneous order is a theory proposed by [36] to describe the order, brought about by the mutual adjustment of many individual economies, in a free-market system composed of various actors.…”

Section: Introductionmentioning

confidence: 99%

Exchange Networks with Stochastic Matching

Dragicevic

2022

Games

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This paper tries to prove that the outcomes stemming from interactions on assignment markets bring about coordination in case of a stochastic matching subject to various forms of expectations. We consider an exchange network with stochastic matching between the pairs of players and analyze the dynamics of bargaining in such a market. The cases of convergent expectations, divergent expectations and of social preferences are studied. The extension of earlier works lies in the consideration of a stochastic matching on a graph dependent on the weights of edges. The results show that, in all three cases, the dynamics converges rapidly to the generalized Nash bargaining solution, which is an equilibrium that combines notions of stability and fairness. In the first two scenarios, the numerical simulations reveal that the convergence toward a fixed point is speedily achieved at the value of the outside option. In the third scenario, the fixed point promptly converges to the value of the outside option supplemented by the surplus share.

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Section: Introductionmentioning

confidence: 99%

Exchange Networks with Stochastic Matching

Dragicevic

2022

Games

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A partner selection problem for complex product of manufacturing enterprises in supply chain

et al. 2021

IFS

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In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

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Market Coordination Under Non-Equilibrium Dynamics

Cited by 2 publications

References 44 publications

Exchange Networks with Stochastic Matching

Exchange Networks with Stochastic Matching

A partner selection problem for complex product of manufacturing enterprises in supply chain

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