Journal Article10.1108/17410390610703620
Linking autonomous agents to CPFR to improve SCM
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TL;DR: The analysis of experimental results points out that the agent‐driven negotiation process (by comparison to CPFR without intelligent agents) benefits in terms of costs, inventory level, stock‐out level and sales.
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Abstract: Purpose – The standpoint of this research lies in the study of the CPFR process for trading partners (belonging to the same supply chain) who are willing to collaborate in exchanging sales and order forecast. This points out the need for providing a collaboration process with an intelligent tool to optimise negotiation.Design/methodology/approach – A literature review and classification has been carried out concerning autonomous agents used to manage supply chain processes. To evaluate the strengths coming from an intelligent system embedded within the CPFR process, several experiments in different conditions were conducted using simulation tool.Findings – The analysis of experimental results points out that the agent‐driven negotiation process (by comparison to CPFR without intelligent agents) benefits in terms of costs, inventory level, stock‐out level and sales.Research limitations/implications – The study represents a one‐to‐one scenario, in which only two trading partners collaborate. Further, resear...
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Citations
Linking supply chain configuration to supply chain perfrmance: A discrete event simulation model
TL;DR: The dependencies between supply chain performance, i.e. stock and stock-outs, and both supply chain management decisions and supply chain configuration parameters, are analyzed, suggesting some managerial implications potentially useful in field.
72
A framework for Collaborative Planning, Forecasting and Replenishment (CPFR): State of the Art
TL;DR: The scope and value of CPFR is reviewed using a devised state-of-the-art taxonomy for the classification of selected bibliographical references and a conceptual framework is developed by identifying areas which need more research is developed.
ISM analysis of CPFR implementation barriers
TL;DR: In this article, the authors identify the major barriers and their interrelationships in collaborative planning, forecasting and replenishment (CPFR) implementations with a focus on high-tech industries.
Research synthesis in collaborative planning forecast and replenishment
TL;DR: There is not a single “blueprint” for CPFR, and competing models emphasize the need for “trust and confidence” and reliable data systems.
54
Intelligence decision systems in enterprise information management
TL;DR: Intelligence techniques are rapidly emerging as new tools in information management systems and can be used to utilize the decision process of enterprises information management.
48
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