Design and development of inventory knowledge discovery system. Issue 8 (14th September 2017)
- Record Type:
- Journal Article
- Title:
- Design and development of inventory knowledge discovery system. Issue 8 (14th September 2017)
- Main Title:
- Design and development of inventory knowledge discovery system
- Authors:
- Lee, CKM
Mitrea, Catalin
Ip, W.H.
Choy, KL
Ho, GTS - Abstract:
- ABSTRACT: Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.
- Is Part Of:
- Enterprise information systems. Volume 11:Issue 8(2017)
- Journal:
- Enterprise information systems
- Issue:
- Volume 11:Issue 8(2017)
- Issue Display:
- Volume 11, Issue 8 (2017)
- Year:
- 2017
- Volume:
- 11
- Issue:
- 8
- Issue Sort Value:
- 2017-0011-0008-0000
- Page Start:
- 1262
- Page End:
- 1282
- Publication Date:
- 2017-09-14
- Subjects:
- Artificial neural network -- forecasting -- inventory management -- knowledge discovery systems -- TREPAN algorithm
Information storage and retrieval systems -- Periodicals
Management information systems -- Periodicals
Electronic commerce -- Periodicals
658.4038011 - Journal URLs:
- http://www.tandfonline.com/toc/teis20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/17517575.2016.1221143 ↗
- Languages:
- English
- ISSNs:
- 1751-7575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3790.568160
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2784.xml