Abstract
The demand for electric and electronic equipment is growing very rapidly. Moreover the life cycles of these products get shorter. It results in a growing amount of waste which needs to be reused or disposed. In many countries producers are obliged to organize a recovery network. Planning of materials flows in recovery network is complex task. In dynamically changing conditions forecasts quickly become outdated. Authors proposed a model based on graph theory and agent technology that provides dynamic configuration of recovery network among pool of cooperating companies. In this chapter are discussed the theoretical backgrounds of research as well as the simulation results.
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Notes
- 1.
It is established according to the following procedure: chain-demand * supply-indicator + random (chain-demand * supply-indicator). For example, if chain-demand = 10000 and supply-indicator  = 0.1, then supply amounts to not less than 1000 and not more than 1999.
- 2.
The total annual reuse of equipment in the HP company amounts to approximately 2,5 million of units per year. We divided this number by 250 working days.
- 3.
Here supply fluctuates between (100Â +Â random 100) and (10000Â +Â random 10000).
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Golinska, P., Kawa, A. (2012). Dynamic Recovery Network for WEEE. In: Golinska, P., Romano, C. (eds) Environmental Issues in Supply Chain Management. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23562-7_5
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DOI: https://doi.org/10.1007/978-3-642-23562-7_5
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