An Exercise for Teaching Transportation Problem Using Spatial Data
Published Online:9 Feb 2022https://doi.org/10.1287/ited.2021.0265
References
- (2020) The COVID-19 recovery will be digital: A plan for the first 90 days (McKinsey Digital). Accessed February 3, 2022, https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/the-covid-19-recovery-will-be-digital-a-plan-for-the-first-90-days.Google Scholar
- (2012) DHL supply chain (Ivey Case). Accessed February 3, 2022, https://www.thecasecentre.org/products/view?id=108326 (requires instructor/subscriber login) and https://hbsp.harvard.edu/product/W12888-PDF-ENG (requires instructor/subscriber login).Google Scholar
- (2011) Case article–Keeping logistics under wraps. INFORMS Trans. Ed. 11(2):57–62.Link, Google Scholar
- (2019) Case article–Converting zip code data into distances: A case study for teaching business analytics. INFORMS Trans. Ed. 19(2):105–107.Link, Google Scholar
- (2012) OpenSolver–An open source add-in to solve linear and integer progammes in Excel. Klatte D, Lüthi HJ, Schmedders K, eds. Operations Research Proceedings 2011 (Springer, Berlin), 401–406.Crossref, Google Scholar
- (2019) Using a Monte Carlo simulation exercise to teach principles of distribution: An enhanced version of the classic transportation problem. INFORMS Trans. Ed. 19(3):111–120.Link, Google Scholar
- (2020) Case article–Integrating network design models for a global supply network. INFORMS Trans. Ed., ePub ahead of print October 30, https://doi.org/10.1287/ited.2019.0237ca.Google Scholar

