A Data Mining Practical Approach to Inventory Management and Logistics Optimization

IJIIS : International Journal of Informatics and Information Systems

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Field Value
 
Title A Data Mining Practical Approach to Inventory Management and Logistics Optimization
 
Creator Pujiarto, Bambang
Hanafi, Mukhtar
Setyawan, Arief
Imani, Asti Nur
Prasetya, Eky Rizky
 
Subject Network Management; NMS; Fault Management; SNMP; System Information
 
Description The latent demand to optimize costs and customer service has been fostered in the current economic situations, characterized by high competitiveness and disruption in supply chains, placing inventories as a vital sector with significant potential to implement improvements in firms. Inventory management that is done correctly has a favorable impact on logistics performance indexes. Warehousing operations account for around 15% of logistics expenditures in terms of dollars. This article employs a method based on the Partitioning Around Medoids algorithm that incorporates, in a novel way, the application of a strategy for locating the optimal picking point based on cluster classification, taking into account the qualitative and quantitative factors that have the greatest impact or priority on inventory management in the company. The results obtained with this model improve the routes of distributed materials based on the identification of their characteristics such as the frequency of collection and handling of materials, allowing for the reorganization and expansion of storage capacity of the various SKUs, moving from a classification by families to a cluster classification. This article shows a suggestion for a warehouse distribution design using data mining techniques, which uses indicators and key qualities for operational success for a case study in a corporation, as well as an approach to improve inventory management decision-making.
 
Publisher Bright Publisher
 
Contributor
 
Date 2021-09-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijiis.org/index.php/IJIIS/article/view/109
10.47738/ijiis.v4i2.109
 
Source International Journal of Informatics and Information Systems; Vol 4, No 2: September 2021; 112-122
2579-7069
10.47738/ijiis.v4i2
 
Language eng
 
Relation http://ijiis.org/index.php/IJIIS/article/view/109/65
 
Rights Copyright (c) 2021 International Journal of Informatics and Information Systems
https://creativecommons.org/licenses/by-sa/4.0
 

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