AIOct 11, 2012

An Agent-based framework for cooperation in Supply Chain

arXiv:1210.3375v15 citations
Originality Synthesis-oriented
AI Analysis

This work addresses supply chain management challenges for companies in various industries, but it appears incremental as it builds on existing solutions for cooperation.

The paper tackles the problem of supply chain coordination by proposing an agent-based framework to improve cooperation among actors, aiming to enhance organizational performance through distributed information systems.

Supply Chain coordination has become a critical success factor for Supply Chain management (SCM) and effectively improving the performance of organizations in various industries. Companies are increasingly located at the intersection of one or more corporate networks which are designated by "Supply Chain". Managing this chain is mainly based on an 'information sharing' and redeployment activities between the various links that comprise it. Several attempts have been made by industrialists and researchers to educate policymakers about the gains to be made by the implementation of cooperative relationships. The approach presented in this paper here is among the works that aim to propose solutions related to information systems distributed Supply Chains to enable the different actors of the chain to improve their performance. We propose in particular solutions that focus on cooperation between actors in the Supply Chain.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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