Warehouse Operations Data Structure (WODS): A data structure developed for warehouse operations modeling. (October 2017)
- Record Type:
- Journal Article
- Title:
- Warehouse Operations Data Structure (WODS): A data structure developed for warehouse operations modeling. (October 2017)
- Main Title:
- Warehouse Operations Data Structure (WODS): A data structure developed for warehouse operations modeling
- Authors:
- Ansari, Mohammadnaser
Smith, Jeffrey S. - Abstract:
- Highlights: We defined a new data structure for modeling warehouse operations. Physical warehouse is represented by graph. A set of sample code is provided for the use of research community. Abstract: Generally accepted data structures and predefined paradigms such as geographic information system (GIS) in research domains enhance researchers experience and efficiency by providing defined data structures and file formats. Warehousing and related topics represent one of the most studied areas in supply chain with no predefined standards or data structures when it comes to developing warehouse operation related programs and code. In this paper, we propose WODS, a new data structure that integrates, stores, edits, analyzes, and displays data related to all aspects of warehouse modeling and development. The paper also describes a set of tools to demonstrate the use of WODS which can also play as a starting point that facilitates the process of modeling a warehouse operation program.
- Is Part Of:
- Computers & industrial engineering. Volume 112(2017)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 112(2017)
- Issue Display:
- Volume 112, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 112
- Issue:
- 2017
- Issue Sort Value:
- 2017-0112-2017-0000
- Page Start:
- 11
- Page End:
- 19
- Publication Date:
- 2017-10
- Subjects:
- Standard structure -- WODS -- Database -- Graph
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2017.08.009 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
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British Library HMNTS - ELD Digital store - Ingest File:
- 12407.xml