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Direct linkNeidigh, Robert O.; Langella, Ian M. – Journal of Education for Business, 2020
The fictitious online retailer "Elbe" faces a deterministic demand for products over a geographic area and fulfills this demand using supply nodes and fulfillment centers. Experiential learning using provided solver and ILOG models (available upon request from the authors) for this supply chain allows students to experiment with…
Descriptors: Supply and Demand, Internet, Retailing, Mathematical Applications
Download full textMcMaster, Kirby; Sambasivam, Samuel; Blake, Ashley – Information Systems Education Journal, 2012
In this research, we examine how problem solving frameworks differ between Mathematics and Software Development. Our methodology is based on the assumption that the words used frequently in a book indicate the mental framework of the author. We compared word frequencies in a sample of 139 books that discuss problem solving. The books were grouped…
Descriptors: Problem Solving, Models, Computer Software, Mathematics
Adlakha, V. G.; Vemuganti, R. R. – International Journal of Mathematical Education in Science and Technology, 2007
In many practical situations scaling the data is necessary to solve linear programs. This note explores the relationships in translating the sensitivity analysis between the original and the scaled problems.
Descriptors: Scaling, Mathematical Applications, Computer Software, Models
Peer reviewedShilgalis, Thomas W. – Mathematics Teacher, 1994
Presents an analysis of the question in the title which involves a discussion of fractions, number theory, and probability through modeling, exploring, and other mathematical connections. (MKR)
Descriptors: Computer Software, Discovery Learning, Fractions, Higher Education
