ABSTRACT
To procure products and materials in the context of modern, convoluted supply chains, companies need to consider a variety of available options regarding trading partners, products, materials and services, as well as deal with changing circumstances. Therefore, they seek for solutions that enable them to increase their efficiency, improve the effectiveness of collaboration with trading partners, deal with unexpected events and make proactive decisions. To address these issues, this paper focuses on the purchasing process and proposes an approach that enhances decision making, leading to proactive actions/recommendations to ensure cost-effectiveness. It supports selection of partners, monitors events pertaining to the purchasing process and enables proactive cost processing for potential supplier/shipper reconsideration, order cancellation or continuation. To enable proactive cost handling, we adopt and use the framework ‘detect – forecast – decide – act’. To support forecast and represent the causal relationship between events and supply chain actors, we use a Bayes Network. Finally, to verify the effectiveness of our proposed model, we develop a system and test it experimentally, through numerical simulation. Our results show that our proactive decision making method can lead to improved order efficiency, agility and cost management.
Additional information
Notes on contributors
George Vlahakis
George Vlahakis is a PhD candidate at the department of Informatics, University of Piraeus. His research interests concern supply chain event management.
Evangelia Kopanaki
Evangelia Kopanaki is Assistant Professor at the University of Piraeus. She holds a PhD in Information Systems from the London School of Economics and Political Science. Her research interests lie in the areas of ebusiness, supply chain management, inter-organisational systems and web information systems.
Dimitris Apostolou
Dimitris Apostolou is Associate Professor at the University of Piraeus. He holds a PhD in Computer Engineering from the National Technical University of Athens. His research interests concern the application of intelligent methods for decision making in enterprise computing.