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Teaching location planning with the center‐of‐gravity method using real cities and distances.

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Title: Teaching location planning with the center‐of‐gravity method using real cities and distances.
Authors: Riley, Jason M.1 (AUTHOR) jmr099@shsu.edu, Sweeney, Kevin1 (AUTHOR)
Source: Decision Sciences Journal of Innovative Education. Apr2024, Vol. 22 Issue 2, p106-116. 11p.
Subject Terms: *Cities & towns, *Student engagement, *Lesson planning, Supply chain management, Distribution costs, Constraint algorithms
Abstract: Facility placement is of strategic importance to most organizations as a well‐placed distribution center minimizes delivery costs and reduces fulfillment lead times, thus improving customer service levels. Because organizations value the location planning process, this teaching brief offers an exercise that analyzes the planning process using the center‐of‐gravity algorithm, a service area map, and real‐world constraints. The objective of the exercise is to identify two locations within a service area that minimize total network distribution costs. Our exercise is intended to complement standard course content and support instructors developing curricula for undergraduate operations management and supply chain management courses. Student‐based survey results indicate that the assignment enhanced classroom engagement and helped students better understand the complexities of location planning. [ABSTRACT FROM AUTHOR]
Copyright of Decision Sciences Journal of Innovative Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Teaching location planning with the center‐of‐gravity method using real cities and distances.
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  Data: <searchLink fieldCode="AR" term="%22Riley%2C+Jason+M%2E%22">Riley, Jason M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jmr099@shsu.edu</i><br /><searchLink fieldCode="AR" term="%22Sweeney%2C+Kevin%22">Sweeney, Kevin</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Decision+Sciences+Journal+of+Innovative+Education%22">Decision Sciences Journal of Innovative Education</searchLink>. Apr2024, Vol. 22 Issue 2, p106-116. 11p.
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  Data: *<searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br />*<searchLink fieldCode="DE" term="%22Lesson+planning%22">Lesson planning</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chain+management%22">Supply chain management</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+costs%22">Distribution costs</searchLink><br /><searchLink fieldCode="DE" term="%22Constraint+algorithms%22">Constraint algorithms</searchLink>
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  Label: Abstract
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  Data: Facility placement is of strategic importance to most organizations as a well‐placed distribution center minimizes delivery costs and reduces fulfillment lead times, thus improving customer service levels. Because organizations value the location planning process, this teaching brief offers an exercise that analyzes the planning process using the center‐of‐gravity algorithm, a service area map, and real‐world constraints. The objective of the exercise is to identify two locations within a service area that minimize total network distribution costs. Our exercise is intended to complement standard course content and support instructors developing curricula for undergraduate operations management and supply chain management courses. Student‐based survey results indicate that the assignment enhanced classroom engagement and helped students better understand the complexities of location planning. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Decision Sciences Journal of Innovative Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/dsji.12311
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        Text: English
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      – SubjectFull: Cities & towns
        Type: general
      – SubjectFull: Student engagement
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      – SubjectFull: Lesson planning
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      – SubjectFull: Supply chain management
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      – SubjectFull: Distribution costs
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      – SubjectFull: Constraint algorithms
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              Text: Apr2024
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