A unified complex network framework for environmental decision -making with applications to green logistics and electronic waste recycling

2005 2005

Other formats: Order a copy

Abstract (summary)

In this dissertation, I developed a unified complex network framework for environmental decision-making. I focused on complex network systems arising in the context of green logistics, including global supply chains, and electronic waste recycling. The framework that I developed is able to handle many decision-makers at the tiers of the networks, and enables the prediction of the flows of the materials between tiers as well as the prices at the tiers, along with the emissions generated, and the incurred costs and profits.

I first developed a theoretical framework for supply chain networks with environmental concerns in the context of decision-making in the Information Age today. I allowed different decision-makers to weight the criteria (including the environmental ones) in distinct fashion. Subsequently, I generalized the original model to a global supply chain network model which included environmental criteria, electronic commerce, and risk management.

I then developed an integrated reverse supply chain management framework that allows for the modeling, analysis, and computation of the material flows as well as the prices associated with the different tiers in the multitiered electronic recycling network. I also extended this model in order to deal with the environmental risk caused by hazardous material generated from the recycling processes. I assumed that the environmental risk due to hazardous material depends on the amount of residual hazardous material that is not extracted from electronic wastes by the processor as well as on the storage amount of hazardous waste that is not disposed yet by the hazardous material disposer.

The models and computational methods were based on the methodologies of variational inequality theory for the study of the statics (cf. Nagurney (1999)) and projected dynamical systems for the dynamics (cf. Nagurney and Zhang (1996)).

Indexing (details)

Operations research;
Industrial engineering
0796: Operations research
0546: Industrial engineering
Identifier / keyword
Applied sciences; Electronic waste recycling; Environmental decision-making; Green logistics; Variational inequalities
A unified complex network framework for environmental decision -making with applications to green logistics and electronic waste recycling
Toyasaki, Fuminori
Number of pages
Publication year
Degree date
School code
DAI-B 66/11, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
9780542383694, 0542383691
Nagurney, Anna
University of Massachusetts Amherst
University location
United States -- Massachusetts
Source type
Dissertations & Theses
Document type
Dissertation/thesis number
ProQuest document ID
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.