2015/08/17 by Harilaos N. Psaraftis, Min Wen, Christos A. Kontovas · 3 citations
Engineering · Social Sciences · #Transportation Planning and Optimization #Transportation and Mobility Innovations #Vehicle Routing Optimization Methods
paper · doi:10.1002/net.21628
crossref issued 2015/08/17 · crossref published 2015/08/17 · crossref published-online 2015/08/17 · openalex publication_date 2015/08/17 · crossref created 2015/08/17 · crossref published-print 2016/01/01 · crossref deposited 2023/10/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28 · crossref indexed 2026/08/01
Since the late 70s, much research activity has taken place on the class of dynamic vehicle routing problems (DVRP), with the time period after year 2000 witnessing a real explosion in related papers. Our paper sheds more light into work in this area over more than 3 decades by developing a taxonomy of DVRP papers according to 11 criteria. These are (1) type of problem, (2) logistical context, (3) transportation mode, (4) objective function, (5) fleet size, (6) time constraints, (7) vehicle capacity constraints, (8) the ability to reject customers, (9) the nature of the dynamic element, (10) the nature of the stochasticity (if any), and (11) the solution method. We comment on technological vis‐à‐vis methodological advances for this class of problems and suggest directions for further research. The latter include alternative objective functions, vehicle speed as decision variable, more explicit linkages of methodology to technological advances and analysis of worst case or average case performance of heuristics. © 2015 Wiley Periodicals, Inc. NETWORKS, Vol. 67(1), 3–31 2016