Bridging the gap between supply chain management practice and curriculum: A location analytics exercise

Pub Date : 2023-04-09 DOI:10.1111/dsji.12286
William J. Ritchie, Joseph Kerski, Luis J. Novoa, Mert Tokman
{"title":"Bridging the gap between supply chain management practice and curriculum: A location analytics exercise","authors":"William J. Ritchie,&nbsp;Joseph Kerski,&nbsp;Luis J. Novoa,&nbsp;Mert Tokman","doi":"10.1111/dsji.12286","DOIUrl":null,"url":null,"abstract":"<p>This teaching brief explores how and why location analytics should be taught in business schools using three objectives. First, an explanation is provided for the importance of including location analytics in the standard business school curriculum—especially in the field of supply chain management. Second, a lack of GIS-based location analytics methods in business school curricula is demonstrated. Third, a three-part location analytics exercise is introduced to contribute to the supply chain management curriculum. The proposed exercise utilizes the output of a GIS-based location analytics software (namely, Esri's ArcGIS Online) as the input for a location set covering problem that can be solved using an integer programming solver. The exercise can also be used as a stand-alone example of GIS in a supply chain management course. This teaching brief aims to (1) develop a new method to use in teaching location analytics in supply chain management and analytics courses and (2) bridge an important gap between supply chain management practice and curriculum.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/dsji.12286","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/dsji.12286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This teaching brief explores how and why location analytics should be taught in business schools using three objectives. First, an explanation is provided for the importance of including location analytics in the standard business school curriculum—especially in the field of supply chain management. Second, a lack of GIS-based location analytics methods in business school curricula is demonstrated. Third, a three-part location analytics exercise is introduced to contribute to the supply chain management curriculum. The proposed exercise utilizes the output of a GIS-based location analytics software (namely, Esri's ArcGIS Online) as the input for a location set covering problem that can be solved using an integer programming solver. The exercise can also be used as a stand-alone example of GIS in a supply chain management course. This teaching brief aims to (1) develop a new method to use in teaching location analytics in supply chain management and analytics courses and (2) bridge an important gap between supply chain management practice and curriculum.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
弥合供应链管理实践和课程之间的差距:位置分析练习
这篇教学摘要探讨了如何以及为什么定位分析应该在商学院教授三个目标。首先,本文解释了将位置分析纳入标准商学院课程的重要性,尤其是在供应链管理领域。其次,商学院课程中缺乏基于gis的位置分析方法。第三,一个由三部分组成的位置分析练习被引入到供应链管理课程中。建议的练习利用基于gis的位置分析软件(即Esri的ArcGIS Online)的输出作为位置集的输入,该位置集涵盖可以使用整数规划求解器解决的问题。该练习也可作为供应链管理课程中地理信息系统的独立示例。本教学大纲旨在(1)开发一种新的方法用于供应链管理和分析课程的位置分析教学;(2)弥合供应链管理实践与课程之间的重要差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1