Dynamic Waste Management (DWM):Towards an evolutionary decision-making approach - Mines Saint-Étienne
Journal Articles Waste Management and Research Year : 2013

Dynamic Waste Management (DWM):Towards an evolutionary decision-making approach

Abstract

To guarantee sustainable and dynamic waste management, the dynamic waste management approach (DWM) suggests an evolutionary new approach that maintains a constant flow towards the most favourable waste treatment processes (facilities) within a system. To that end, DWM is based on the law of conservation of energy, which allows the balancing of a network, while considering the constraints of incoming (h1) and outgoing (h2) loads, as well as the distribution network (ΔH) characteristics. The developed approach lies on the identification of the prioritization index (PI) for waste generators (analogy to h1), a global allocation index for each of the treatment processes (analogy to h2) and the linear index load loss (ΔH) associated with waste transport. To demonstrate the scope of DWM, we outline this approach, and then present an example of its application. The case study shows that the variable monthly waste from the three considered sources is dynamically distributed in priority to the more favourable processes. Moreover, the reserve (stock) helps temporarily store waste in order to ease the global load of the network and favour a constant feeding of the treatment processes. The DWM approach serves as a decision-making tool by evaluating new waste treatment processes, as well as their location and new means of transport for waste.
Fichier principal
Vignette du fichier
Dynamic_Waste_Management_DWMTowards_an_evolutionary_decision-making_approach.pdf (404.7 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

emse-00767075 , version 1 (25-01-2013)

Identifiers

Cite

Gabriel Rojo, Mathias Glaus, Robert Hausler, Valérie Laforest, Jacques Bourgois. Dynamic Waste Management (DWM):Towards an evolutionary decision-making approach. Waste Management and Research, 2013, Volume 31 (Issue 12), pp. 1285-1292. ⟨10.1177/0734242X13507306⟩. ⟨emse-00767075⟩
264 View
671 Download

Altmetric

Share

More