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You searched for +publisher:"Rochester Institute of Technology" +contributor:("Scott E. Grasman"). Showing records 1 – 4 of 4 total matches.

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1. Potluri, Bhanu Krishna. Rolling Horizon Workforce Schedule to Assign Workers to Tasks in a Learning/Forgetting Environment.

Degree: MS, Industrial and Systems Engineering, 2016, Rochester Institute of Technology

  The variability in demand across the planning horizon and the presence of heterogeneous workforces where workers learn and forget at different rates make the… (more)

Subjects/Keywords: Forgetting; Learning; Rolling horizon; Workforce scheduling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Potluri, B. K. (2016). Rolling Horizon Workforce Schedule to Assign Workers to Tasks in a Learning/Forgetting Environment. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9187

Chicago Manual of Style (16th Edition):

Potluri, Bhanu Krishna. “Rolling Horizon Workforce Schedule to Assign Workers to Tasks in a Learning/Forgetting Environment.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed March 26, 2019. https://scholarworks.rit.edu/theses/9187.

MLA Handbook (7th Edition):

Potluri, Bhanu Krishna. “Rolling Horizon Workforce Schedule to Assign Workers to Tasks in a Learning/Forgetting Environment.” 2016. Web. 26 Mar 2019.

Vancouver:

Potluri BK. Rolling Horizon Workforce Schedule to Assign Workers to Tasks in a Learning/Forgetting Environment. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2019 Mar 26]. Available from: https://scholarworks.rit.edu/theses/9187.

Council of Science Editors:

Potluri BK. Rolling Horizon Workforce Schedule to Assign Workers to Tasks in a Learning/Forgetting Environment. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9187

2. Ladage, Anurag A. Hybrid Statistical Data Mining Framework for Multi-Commodity Fixed Charge Network Flow Problem.

Degree: MS, Industrial and Systems Engineering, 2015, Rochester Institute of Technology

  This paper presents a new approach to analyze the network structure in multi-commodity fixed charge network flow problems (MCFCNF). This methodology uses historical data… (more)

Subjects/Keywords: Data mining; Generating initial solutions; Hybrid framework; Machine learning; Multi-commodity network flow; Operations research

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ladage, A. A. (2015). Hybrid Statistical Data Mining Framework for Multi-Commodity Fixed Charge Network Flow Problem. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8715

Chicago Manual of Style (16th Edition):

Ladage, Anurag A. “Hybrid Statistical Data Mining Framework for Multi-Commodity Fixed Charge Network Flow Problem.” 2015. Masters Thesis, Rochester Institute of Technology. Accessed March 26, 2019. https://scholarworks.rit.edu/theses/8715.

MLA Handbook (7th Edition):

Ladage, Anurag A. “Hybrid Statistical Data Mining Framework for Multi-Commodity Fixed Charge Network Flow Problem.” 2015. Web. 26 Mar 2019.

Vancouver:

Ladage AA. Hybrid Statistical Data Mining Framework for Multi-Commodity Fixed Charge Network Flow Problem. [Internet] [Masters thesis]. Rochester Institute of Technology; 2015. [cited 2019 Mar 26]. Available from: https://scholarworks.rit.edu/theses/8715.

Council of Science Editors:

Ladage AA. Hybrid Statistical Data Mining Framework for Multi-Commodity Fixed Charge Network Flow Problem. [Masters Thesis]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8715

3. Chacosky, Austin T. Allocation of Workers Utilizing Models with Learning, Forgetting, and Various Work Structures.

Degree: MS, Industrial and Systems Engineering, 2015, Rochester Institute of Technology

  Much of the literature on cross-training and worker assignment problems focus on simulating production systems under cross-training methods. Many have found that for specific… (more)

Subjects/Keywords: Cross-training; Forgetting; Learning; Work force planning; Work structure

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chacosky, A. T. (2015). Allocation of Workers Utilizing Models with Learning, Forgetting, and Various Work Structures. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8655

Chicago Manual of Style (16th Edition):

Chacosky, Austin T. “Allocation of Workers Utilizing Models with Learning, Forgetting, and Various Work Structures.” 2015. Masters Thesis, Rochester Institute of Technology. Accessed March 26, 2019. https://scholarworks.rit.edu/theses/8655.

MLA Handbook (7th Edition):

Chacosky, Austin T. “Allocation of Workers Utilizing Models with Learning, Forgetting, and Various Work Structures.” 2015. Web. 26 Mar 2019.

Vancouver:

Chacosky AT. Allocation of Workers Utilizing Models with Learning, Forgetting, and Various Work Structures. [Internet] [Masters thesis]. Rochester Institute of Technology; 2015. [cited 2019 Mar 26]. Available from: https://scholarworks.rit.edu/theses/8655.

Council of Science Editors:

Chacosky AT. Allocation of Workers Utilizing Models with Learning, Forgetting, and Various Work Structures. [Masters Thesis]. Rochester Institute of Technology; 2015. Available from: https://scholarworks.rit.edu/theses/8655

4. Gandhi, Aditya. Implementation of Cross-training for Multi-shift Worker Allocation.

Degree: MS, Industrial and Systems Engineering, 2014, Rochester Institute of Technology

  In workforce allocation, gaps between workers available and workers needed at various operations result in production delays and a loss of profitability for the… (more)

Subjects/Keywords: Cross-training; Mixed integer programming; Workforce allocation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gandhi, A. (2014). Implementation of Cross-training for Multi-shift Worker Allocation. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8518

Chicago Manual of Style (16th Edition):

Gandhi, Aditya. “Implementation of Cross-training for Multi-shift Worker Allocation.” 2014. Masters Thesis, Rochester Institute of Technology. Accessed March 26, 2019. https://scholarworks.rit.edu/theses/8518.

MLA Handbook (7th Edition):

Gandhi, Aditya. “Implementation of Cross-training for Multi-shift Worker Allocation.” 2014. Web. 26 Mar 2019.

Vancouver:

Gandhi A. Implementation of Cross-training for Multi-shift Worker Allocation. [Internet] [Masters thesis]. Rochester Institute of Technology; 2014. [cited 2019 Mar 26]. Available from: https://scholarworks.rit.edu/theses/8518.

Council of Science Editors:

Gandhi A. Implementation of Cross-training for Multi-shift Worker Allocation. [Masters Thesis]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/8518

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