 Advancements in continuous approximation models for logistics and transportation systems: 1996–2016Sina Ansari, Mehmet Başdere, Xiaopeng Li, Yanfeng Ouyang and Karen Smilowitz Transportation Research Part B: Methodological, 2018, vol. 107, issue C, 229-252 Abstract: Continuous approximation (CA) is an efficient and parsimonious technique for modeling complex logistics problems. In this paper, we review recent studies that develop CA models for transportation, distribution and logistics problems with the aim of synthesizing recent advancements and identifying current research gaps. This survey focuses on important principles and key results from CA models. In particular, we consider how these studies fill the gaps identified by the most recent literature reviews in this field. We observe that CA models are used in a wider range of applications, especially in the areas of facility location and integrated supply chain management. Most studies use CA as an alternative and a complement to discrete solution approaches; however, CA can also be used in combination with discrete approaches. We conclude with promising areas of future work. Keywords: Continuous approximation; Logistics; Facility location; Distribution and transit; Supply chain management (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:transb:v:107:y:2018:i:c:p:229-252 Ordering information: This journal article can be ordered from DOI: 10.1016/j.trb.2017.09.019 Access Statistics for this article Transportation Research Part B: Methodological is currently edited by Fred Mannering More articles in Transportation Research Part B: Methodological from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.