Name
Title | ||
|---|---|---|
Quantifying Potential Benefits of Horizontal Cooperation in Urban Transportation Under Uncertainty: A Simheuristic Approach. |
Abstract | ||
|---|---|---|
Horizontal Cooperation (HC) in transportation activities has the potential to decrease supply chain costs and the environmental impact of delivery vehicles related to greenhouse gas emissions and noise. Especially in urban areas the sharing of information and facilities among members of the same supply chain level promises to be an innovative transportation concept. This paper discusses the potential benefits of HC in supply chains with stochastic demands by applying a simheuristic approach. For this, we integrate Monte Carlo Simulation into a metaheuristic process based on Iterated Local Search and Biased Randomization. A non-cooperative scenario is compared to its cooperative counterpart which is formulated as multi-depot Vehicle Routing Problem with stochastic demands (MDVRPSD). |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-44636-3_26 | ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016 |
Keywords | DocType | Volume |
Horizontal cooperation,Simheuristics,MDVRPSD,Biased randomization,Iterated local search | Conference | 9868 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos L. Quintero-Araujo | 1 | 1 | 0.35 |
| Aljoscha Gruler | 2 | 6 | 1.75 |
| Angel A. Juan | 3 | 596 | 69.73 |