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Using Simulation To Evaluate A Continuous Review (R, Q) Two-Echelon Inventory Model,” was published in Advances in Industrial Engineering Theory, Applications, and Practice by J.E.Fernandez, R.J.Marley, A.Pennathur, A.Mital, T.K.Fredricks, A.A.Fuentes, eds. The authors of this paper are M.D. Rossetti, Y.S. Tee, and ____________.
Using Simulation To Evaluate A Continuous Review (R, Q) Two-Echelon Inventory Model,” was published in Advances in Industrial Engineering Theory, Applications, and Practice by J.E.Fernandez, R.J.Marley, A.Pennathur, A.Mital, T.K.Fredricks, A.A.Fuentes, eds. The authors of this paper are M.D. Rossetti, Y.S. Tee, and ____________.
2002
A Robustness Study of a Multi-Echelon Inventory Model via Simulation was published in the International Journal of Production Economics, vol. 80, no. 3, pp 265-277 by M.D. Rossetti and ____________.
A Robustness Study of a Multi-Echelon Inventory Model via Simulation was published in the International Journal of Production Economics, vol. 80, no. 3, pp 265-277 by M.D. Rossetti and ____________.
Thomas, S.
Object-Oriented Multi-Indenture Multi-Echelon Spare Parts Supply Chain Simulation Model was published in the International Journal for Modeling and Simulation, vol. 26, no. 4 by M.D. Rossetti. This paper focuses on a simulation model for spare parts supply chain using an ____________ framework.
Object-Oriented Multi-Indenture Multi-Echelon Spare Parts Supply Chain Simulation Model was published in the International Journal for Modeling and Simulation, vol. 26, no. 4 by M.D. Rossetti. This paper focuses on a simulation model for spare parts supply chain using an ____________ framework.
object-oriented
Emergency Department Simulation And Determination Of Optimal Attending Physician Staffing Schedules was presented at The Proceedings of the 1999 Winter Simulation Conference by M.D. Rossetti, G. Trzcinski, and ____________.
Emergency Department Simulation And Determination Of Optimal Attending Physician Staffing Schedules was presented at The Proceedings of the 1999 Winter Simulation Conference by M.D. Rossetti, G. Trzcinski, and ____________.
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Evidence-based Management: From Theory to Practice in Health Care was published in The Milbank Quarterly, vol. 79, no. 3, pp. 429-457 by T.G. Rundall and ____________.
Evidence-based Management: From Theory to Practice in Health Care was published in The Milbank Quarterly, vol. 79, no. 3, pp. 429-457 by T.G. Rundall and ____________.
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Emerging Issues in Healthcare Simulation was discussed at the Proceedings of the 2000 Winter Simulation Conference by S.M. Sanchez, D.M. Ferrin, T. Ogazon, J.A. Sepulveda. This paper delves into the evolving challenges in healthcare simulation, particularly focusing on ____________.
Emerging Issues in Healthcare Simulation was discussed at the Proceedings of the 2000 Winter Simulation Conference by S.M. Sanchez, D.M. Ferrin, T. Ogazon, J.A. Sepulveda. This paper delves into the evolving challenges in healthcare simulation, particularly focusing on ____________.
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They used simulation models to test alternative emergency department attending physicians staffing schedules and analyzed the corresponding impacts on patient ______ and resource utilization.
They used simulation models to test alternative emergency department attending physicians staffing schedules and analyzed the corresponding impacts on patient ______ and resource utilization.
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The use of simulation was the key to success in obtaining results that were of practical value to the medical professionals involved in both of these research projects. Applications of Multi-Objective Techniques Rossetti and Selandari (2001) extended the work presented by Rossetti et al.(2000) and explored the effect of mobile robots on the elevator response, reliability of both elevators and robots, and a multi-criteria formulation of the automation introduction decision problem. The problem was characterized by very different and conflicting performance measures, which were observed to be qualitative and quantitative in nature. The Analytic Hierarchy Process (AHP) was used to address these trade-offs, which are often very significant within a health-care setting. AHP is based on the analysis of a hierarchy structure. This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
The use of simulation was the key to success in obtaining results that were of practical value to the medical professionals involved in both of these research projects. Applications of Multi-Objective Techniques Rossetti and Selandari (2001) extended the work presented by Rossetti et al.(2000) and explored the effect of mobile robots on the elevator response, reliability of both elevators and robots, and a multi-criteria formulation of the automation introduction decision problem. The problem was characterized by very different and conflicting performance measures, which were observed to be qualitative and quantitative in nature. The Analytic Hierarchy Process (AHP) was used to address these trade-offs, which are often very significant within a health-care setting. AHP is based on the analysis of a hierarchy structure. This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
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Rossetti and Selandari (2001) extended the work presented by Rossetti et al.(2000) and explored the effect of mobile robots on the elevator response, reliability of both elevators and robots, and a multi-criteria formulation of the automation introduction decision problem. The problem was characterized by very different and conflicting performance measures, which were observed to be qualitative and quantitative in nature. The Analytic Hierarchy Process (AHP) was used to address these trade-offs, which are often very significant within a health-care setting. AHP is based on the analysis of a hierarchy structure. This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
Rossetti and Selandari (2001) extended the work presented by Rossetti et al.(2000) and explored the effect of mobile robots on the elevator response, reliability of both elevators and robots, and a multi-criteria formulation of the automation introduction decision problem. The problem was characterized by very different and conflicting performance measures, which were observed to be qualitative and quantitative in nature. The Analytic Hierarchy Process (AHP) was used to address these trade-offs, which are often very significant within a health-care setting. AHP is based on the analysis of a hierarchy structure. This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
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The problem was characterized by very different and conflicting performance measures, which were observed to be qualitative and quantitative in nature. The Analytic Hierarchy Process (AHP) was used to address these trade-offs, which are often very significant within a health-care setting. AHP is based on the analysis of a hierarchy structure. This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
The problem was characterized by very different and conflicting performance measures, which were observed to be qualitative and quantitative in nature. The Analytic Hierarchy Process (AHP) was used to address these trade-offs, which are often very significant within a health-care setting. AHP is based on the analysis of a hierarchy structure. This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
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This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, ______, and sensitivity analysis.
This hierarchy structure has two basic purposes: it naturally 16 leads to a decomposition of the problem into objectives and sub-objectives and it enables a better and more systematic approach to problem solving. AHP is composed of four steps: decomposition, prioritization, ______, and sensitivity analysis.
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AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
AHP is composed of four steps: decomposition, prioritization, synthesis, and sensitivity ______.
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Kang, eds., ACM/SIGSIM, ASA, IEEE/CS, IEEE/SMCS, IIE, INFORMS/CS, NIST and SCS, pp. 1855-1864. 38. Rossetti, M.D., Chan, H., 2003.“A Prototype Object-Oriented Supply Chain Simulation Framework,” Proceedings of the 2003 Winter Simulation Conference, S.Chick, P.J.Sánchez, D.Ferrin, D.J.Morrice, eds., pp 1612-1620. 39. Rossetti, M.D., Kumar, A., Felder, R.A., 1998.“Mobile Robot Simulation of Clinical Laboratory Deliveries,” Proceedings of the 1998 Winter Simulation Conference, D.J.Medeiros, E.F.Watson, J.S.Carson, M.S.Manivannan, eds., pp 1415-1422. 40. Rossetti, M.D., Miman M., Varghese V., Xiang, Y., 2006.“An Object-Oriented Framework for Simulating Multi-Echelon Inventory Systems,” Proceedings of the 2006 Winter Simulation Conference, L.F.Perrone, F.P.Wieland, J.Liu, B.G.Lawson, D.M.Nicol, R.M.Fujimoto, eds., pp 1452-1461. 41. Rossetti, M.D., Selandari, F., 2000.“Hospital Delivery System Comparison Via Computer Simulation,” The Proceedings of the 2000 Industrial Engineering Research Conference, J.M.Usher, L.L.Crumpton-Young, eds. 42. Rossetti, M.D., Selandari, F., 2001.“Multi-objective Analysis of Hospital Delivery Systems,” Computers and Industrial Engineering, vol. 41, no. 3, pp. 309-333. 43. Tee, Y.S., Rossetti, M.D., 2001.
Kang, eds., ACM/SIGSIM, ASA, IEEE/CS, IEEE/SMCS, IIE, INFORMS/CS, NIST and SCS, pp. 1855-1864. 38. Rossetti, M.D., Chan, H., 2003.“A Prototype Object-Oriented Supply Chain Simulation Framework,” Proceedings of the 2003 Winter Simulation Conference, S.Chick, P.J.Sánchez, D.Ferrin, D.J.Morrice, eds., pp 1612-1620. 39. Rossetti, M.D., Kumar, A., Felder, R.A., 1998.“Mobile Robot Simulation of Clinical Laboratory Deliveries,” Proceedings of the 1998 Winter Simulation Conference, D.J.Medeiros, E.F.Watson, J.S.Carson, M.S.Manivannan, eds., pp 1415-1422. 40. Rossetti, M.D., Miman M., Varghese V., Xiang, Y., 2006.“An Object-Oriented Framework for Simulating Multi-Echelon Inventory Systems,” Proceedings of the 2006 Winter Simulation Conference, L.F.Perrone, F.P.Wieland, J.Liu, B.G.Lawson, D.M.Nicol, R.M.Fujimoto, eds., pp 1452-1461. 41. Rossetti, M.D., Selandari, F., 2000.“Hospital Delivery System Comparison Via Computer Simulation,” The Proceedings of the 2000 Industrial Engineering Research Conference, J.M.Usher, L.L.Crumpton-Young, eds. 42. Rossetti, M.D., Selandari, F., 2001.“Multi-objective Analysis of Hospital Delivery Systems,” Computers and Industrial Engineering, vol. 41, no. 3, pp. 309-333. 43. Tee, Y.S., Rossetti, M.D., 2001.
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Rossetti, M.D., Chan, H., 2003.“A Prototype Object-Oriented Supply Chain Simulation Framework,” Proceedings of the 2003 Winter Simulation Conference, S.Chick, P.J.Sánchez, D.Ferrin, D.J.Morrice, eds., pp 1612-1620. 39. Rossetti, M.D., Kumar, A., Felder, R.A., 1998.“Mobile Robot Simulation of Clinical Laboratory Deliveries,” Proceedings of the 1998 Winter Simulation Conference, D.J.Medeiros, E.F.Watson, J.S.Carson, M.S.Manivannan, eds., pp 1415-1422. 40. Rossetti, M.D., Miman M., Varghese V., Xiang, Y., 2006.“An Object-Oriented Framework for Simulating Multi-Echelon Inventory Systems,” Proceedings of the 2006 Winter Simulation Conference, L.F.Perrone, F.P.Wieland, J.Liu, B.G.Lawson, D.M.Nicol, R.M.Fujimoto, eds., pp 1452-1461.
Rossetti, M.D., Chan, H., 2003.“A Prototype Object-Oriented Supply Chain Simulation Framework,” Proceedings of the 2003 Winter Simulation Conference, S.Chick, P.J.Sánchez, D.Ferrin, D.J.Morrice, eds., pp 1612-1620. 39. Rossetti, M.D., Kumar, A., Felder, R.A., 1998.“Mobile Robot Simulation of Clinical Laboratory Deliveries,” Proceedings of the 1998 Winter Simulation Conference, D.J.Medeiros, E.F.Watson, J.S.Carson, M.S.Manivannan, eds., pp 1415-1422. 40. Rossetti, M.D., Miman M., Varghese V., Xiang, Y., 2006.“An Object-Oriented Framework for Simulating Multi-Echelon Inventory Systems,” Proceedings of the 2006 Winter Simulation Conference, L.F.Perrone, F.P.Wieland, J.Liu, B.G.Lawson, D.M.Nicol, R.M.Fujimoto, eds., pp 1452-1461.
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Rossetti, M.D., Selandari, F., 2000.“Hospital Delivery System Comparison Via Computer Simulation,” The Proceedings of the 2000 Industrial Engineering Research Conference, J.M.Usher, L.L.Crumpton-Young, eds.
Rossetti, M.D., Selandari, F., 2000.“Hospital Delivery System Comparison Via Computer Simulation,” The Proceedings of the 2000 Industrial Engineering Research Conference, J.M.Usher, L.L.Crumpton-Young, eds.
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Rossetti, M.D., Selandari, F., 2001.“Multi-objective Analysis of Hospital Delivery Systems,” Computers and Industrial Engineering, vol. 41, no. 3, pp. 309-333.
Rossetti, M.D., Selandari, F., 2001.“Multi-objective Analysis of Hospital Delivery Systems,” Computers and Industrial Engineering, vol. 41, no. 3, pp. 309-333.
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Tee, Y.S., Rossetti, M.D., 2001.
Tee, Y.S., Rossetti, M.D., 2001.
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Rossetti, M.D., Miman M., Varghese V., Xiang, Y., 2006.“An Object-Oriented Framework for Simulating Multi-Echelon Inventory Systems,” Proceedings of the 2006 Winter Simulation Conference, L.F.Perrone, F.P.Wieland, J.Liu, B.G.Lawson, D.M.Nicol, R.M.Fujimoto, eds., pp 1452-1461.
Rossetti, M.D., Miman M., Varghese V., Xiang, Y., 2006.“An Object-Oriented Framework for Simulating Multi-Echelon Inventory Systems,” Proceedings of the 2006 Winter Simulation Conference, L.F.Perrone, F.P.Wieland, J.Liu, B.G.Lawson, D.M.Nicol, R.M.Fujimoto, eds., pp 1452-1461.
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