Abstract
Under the premise of coordinated procurement bilateral and multi‐issue negotiation, adaptive negotiation strategy has become an essential factor for multiagent conflict resolution. This paper studies an adaptive negotiation strategy based on selective integrated learning, which effectively improves negotiation. First, take the suppliers and purchasing companies in the cluster supply chain as the research objects and analyze the characteristics of multilateral negotiation of collaborative procurement. Secondly, the support vector machine algorithm performs adaptive learning for each evaluation data set to estimate the concession range. On this basis, remove the few submodels that perform poorly, recombine the calculation weights, and establish a multiagent clustered supply collaborative procurement negotiation model. The simulation experiment proves the feasibility of the adaptive negotiation strategy and the effectiveness of the adaptive coordination strategy based on selective ensemble learning proposed in this paper from the aspects of concession range prediction error rate, prediction accuracy rate, and negotiation utility.
Highlights
In recent years, with the rise of new technologies represented by artificial intelligence [1], blockchain [2], big data [3], and mobile Internet [4], the global economy [5] and information technology [6] have developed rapidly, and consumer demand has been escalating
For the low efficiency of a single learning machine in the adaptive negotiation of collaborative procurement in the cluster supply chain, we analyze the characteristics of multiagent negotiation in collaborative procurement in the industrial cluster supply chain
If there is no consensus on an issue within the stipulated negotiation time, the entire collaborative procurement negotiation will fail
Summary
With the rise of new technologies represented by artificial intelligence [1], blockchain [2], big data [3], and mobile Internet [4], the global economy [5] and information technology [6] have developed rapidly, and consumer demand has been escalating. In an open and competitive market environment, the industry’s uncertainty factors [7] are multiplying day by day, and many companies cannot respond quickly to changes in market demand. They cannot face the complex and dynamic market environment alone. The rationale uses its resources and other methods to respond to dynamically changing market demands This kind of change of the enterprise has achieved specific results, the actual effect is not significant in the face of dynamic market changes, and it is not the way of long-term survival and development of the enterprise. To adapt to market globalization and fierce competition pressure, the collaboration between upstream and downstream companies in the supply chain and between industries is required, especially in the procurement, production, logistics, and inventory links between partners in the supply chain [8]
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