Cross-Docking: A Systematic Literature Review
Autor: | Mark Goh, Kerry Brown, Ahmad A. Khanfar, Neda Kiani Mavi, Reza Kiani Mavi, Ferry Jie, Sharon Biermann |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Computer science Geography Planning and Development lcsh:TJ807-830 0211 other engineering and technologies lcsh:Renewable energy sources 02 engineering and technology Management Monitoring Policy and Law Gephi Domain (software engineering) 020901 industrial engineering & automation co-occurrence analysis lcsh:Environmental sciences Inventory control lcsh:GE1-350 021103 operations research Renewable Energy Sustainability and the Environment logistics lcsh:Environmental effects of industries and plants cross-docking systematic literature review Data science Systematic review lcsh:TD194-195 Cross-docking Primary research |
Zdroj: | Sustainability, Vol 12, Iss 4789, p 4789 (2020) |
ISSN: | 2071-1050 |
Popis: | This paper identifies the major research concepts, techniques, and models covered in the cross-docking literature. A systematic literature review is conducted using the BibExcel bibliometric analysis and Gephi network analysis tools. A research focus parallelship network (RFPN) analysis and keyword co-occurrence network (KCON) analysis are used to identify the primary research themes. The RFPN results suggest that vehicle routing, inventory control, scheduling, warehousing, and distribution are most studied. Of the optimization and simulation techniques applied in cross-docking, linear and integer programming has received much attention. The paper informs researchers interested in investigating cross-docking through an integrated perspective of the research gaps in this domain. This paper systematically reviews the literature on cross-docking, identifies the major research areas, and provides a survey of the techniques and models adopted by researchers in the areas related to cross-docking. |
Databáze: | OpenAIRE |
Externí odkaz: |