A Multi-agent Approach for Composing Negotiation Items in a Reverse Logistic Virtual Market
In this work a reverse production process is conceived as a service-based manufacturing network (ecosystem), in which the manufacturing companies “play” in the ecosystem by means of market services. One complex problem in a reverse logistic virtual market is the efficient composition and decomposition of the negotiation items. A negotiation item is defined as an item subject to be recycled: used products/scraps/wastes, a sub-part of a used product/scrap/waste, or the materials that are contained in the used product/scrap/waste. In this work we present a Multi-agent approach in order to compose the last two types of negotiation items from an orchestration of negotiation processes among the different stakeholders of the reverse logistic process (i.e. collecting points, recycling plants, disassembly plants, secondary material markets). In this way a call for buying, for example 10 tons of steel, can be handle in the virtual market as a complex process of buying and selling used products/scraps/wastes, or their sub-parts, in order to decompose and pre-process them (by recycling and/or disassembly plants) for extracting the steel contained in those items.
This work is supported by research project TIN2015-65515-C4-1-R from the Spanish government.
- 5.Giret, A., Salido, M.A.: A multi-agent approach to implement a reverse production virtual market in green supply chains. In: Lödding, H., Riedel, R., Thoben, K.-D., von Cieminski, G., Kiritsis, D. (eds.) APMS 2017. IAICT, vol. 514, pp. 399–407. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66926-7_46CrossRefGoogle Scholar
- 9.Golinska, P., Fertsch, M., Gómez, J.M., Oleskow, J.: The concept of closed-loop supply chain integration through agents-based system. In: Gómez, J.M., Sonnenschein, M., Müller, M., Welsch, H., Rautenstrauch, C. (eds.) Information Technologies in Environmental Engineering. Environmental Science and Engineering (Environmental Engineering), pp. 189–202. Springer, Heidelber (2007). https://doi.org/10.1007/978-3-540-71335-7_20CrossRefGoogle Scholar
- 11.Hsieh, F.S.: Scheduling sustainable supply chains based on multi-agent systems and workflow models. In: 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 252–259, November 2015Google Scholar
- 12.International Trade Administration: How does Commerce define Sustainable Manufacturing? US Department of Commerce (2007)Google Scholar
- 15.Sinha, A., Couderc, P.: Using OWL ontologies for selective waste sorting and recycling. In: OWLED. CEUR Workshop Proceedings, vol. 849 (2012)Google Scholar