Abstract This research focuses on planning biofuel refinery locations where the total system cost for refinery investment, feedstock and product transportation and public travel is minimized. Shipment routing of both feedstock and product in the biofuel supply chain and the resulting traffic congestion impact are incorporated into the model to decide optimal locations of biofuel refineries. A Lagrangian relaxation based heuristic algorithm is introduced to obtain near-optimum feasible solutions efficiently. To further improve optimality, a branch-and-bound framework (with linear programming relaxation and Lagrangian relaxation bounding procedures) is developed. Numerical experiments with several testing examples demonstrate that the proposed algorithms solve the problem effectively. An empirical Illinois case study and a series of sensitivity analyses are conducted to show the effects of highway congestion on refinery location design and total system costs.
Biofuel refinery location and supply chain planning under traffic congestion
Transportation Research Part B: Methodological ; 45 , 1 ; 162-175
2010-04-23
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Biofuel refinery location and supply chain planning under traffic congestion
Online Contents | 2011
|Sustainable Biofuel Supply Chain Planning and Management under Uncertainty
Transportation Research Record | 2013
|Sustainable Biofuel Supply Chain Planning and Management Under Uncertainty
Online Contents | 2013
|Analysis of traffic congestion costs in a competitive supply chain
Elsevier | 2010
|City planning and traffic congestion
Engineering Index Backfile | 1924