Silvanus Theodore Enns

Affiliations: 
University of Calgary, Calgary, Alberta, Canada 
Area:
Industrial Engineering
Website:
https://schulich.ucalgary.ca/contacts/silvanus-theodore-enns
Google:
"Silvanus Theodore Enns" OR "Silvanus T. Enns"
Bio:

https://books.google.com/books?id=oEgO3GwKLjMC

Parents

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Thomas Russell Hoffmann grad student 1991 UMN
 (A dynamic forecasting approach to the job shop due-date setting problem)
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Publications

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Grewal CS, Enns ST, Rogers P. (2015) Dynamic reorder point replenishment strategies for a capacitated supply chain with seasonal demand Computers and Industrial Engineering. 80: 97-110
Grewal CS, Enns ST, Rogers P. (2014) Measuring the performance sensitivity of replenishment systems using tradeoff curves European Journal of Industrial Engineering. 8: 646-668
Grewal CS, Rogers P, Enns ST. (2010) Performance evaluation of inventory replenishment strategies in a capacitated supply chain under optimal parameter settings International Journal of Value Chain Management. 4: 195
Enns ST, Grewal CS. (2010) Lot size optimisation under pooled and unpooled scenarios in batch production system International Journal of Production Research. 48: 6085-6101
Suwanruji P, Enns ST. (2006) Evaluating the effects of capacity constraints and demand patterns on supply chain replenishment strategies International Journal of Production Research. 44: 4607-4629
Enns ST, Suwanruji P. (2004) Work load responsive adjustment of planned lead times Journal of Manufacturing Technology Management. 15: 90-100
Enns ST. (2002) MRP performance effects due to forecast bias and demand uncertainty European Journal of Operational Research. 138: 87-102
Enns ST. (1998) Lead time selection and the behaviour of work flow in job shops European Journal of Operational Research. 109: 122-136
Enns ST. (1996) Finite capacity scheduling systems: performance issues and comparisons Computers & Industrial Engineering. 30: 727-739
Enns ST. (1995) A dynamic forecasting model for job shop flowtime prediction and tardiness control International Journal of Production Research. 33: 1295-1312
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