Analyzing cargo loss severity of electronics products with decision tree

Mu-Chen Chen, Pei Ju Wu, Chih Kai Tsau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Supply chain risk management has been an essential issue in recent years. Cargo loss in supply chain and logistics activities has been the major cause of delays and supply chain disruption; however, rarely do studies provide comprehensive studies focusing on cargo loss analysis and prevention in various modes of transportation. Hence, this study aims to investigate the cargo loss severity of an electronics company. Decision tree analysis is adapted to develop classification models for cargo loss severity of electronics products. The empirical results with the classification rules can be utilized as a cargo loss prediction tool to help managers to make an effective plan on cargo loss prevention.

Original languageEnglish
Title of host publicationIndustrial Engineering, Management Science and Applications 2015
EditorsKuinam J. Kim, Mitsuo Gen, Yabe Hiroshi, Xiaoxia Huang
PublisherSpringer Verlag
Pages477-484
Number of pages8
ISBN (Print)9783662471999
DOIs
StatePublished - 1 Jan 2015
EventInternational Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2015 - Tokyo, Japan
Duration: 26 May 201528 May 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume349
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2015
CountryJapan
CityTokyo
Period26/05/1528/05/15

Keywords

  • Cargo loss prevention
  • Cargo loss severity
  • Decision tree
  • Supply chain risk management

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