Year |
Citation |
Score |
2018 |
Chen W, Baveja A, Melamed B. Temporal Shaping Of Simulated Time Series With Cyclical Sample Paths Probability in the Engineering and Informational Sciences. 32: 126-143. DOI: 10.1017/S0269964816000401 |
0.392 |
|
2017 |
Chen W, Melamed B, Sokolinskiy O, Sopranzetti B. Cash Conversion Systems in Corporate Subsidiaries Manufacturing & Service Operations Management. 19: 604-619. DOI: 10.1287/Msom.2017.0625 |
0.366 |
|
2016 |
Katehakis MN, Melamed B, Shi JJ. Cash-Flow Based Dynamic Inventory Management Production and Operations Management. DOI: 10.1111/Poms.12571 |
0.37 |
|
2016 |
Melamed B, Leuschner R, Chen W, Rogers DS, Cao M. Inventory turns and finite-horizon Little’s Laws Annals of Operations Research. 1-18. DOI: 10.1007/S10479-016-2157-9 |
0.355 |
|
2015 |
Katehakis MN, Melamed B, Shi JJ. Optimal replenishment rate for inventory systems with compound Poisson demands and lost sales: a direct treatment of time-average cost Annals of Operations Research. DOI: 10.1007/S10479-015-1998-Y |
0.331 |
|
2014 |
Shi JJ, Katehakis MN, Melamed B, Xia Y. Production-Inventory Systems with Lost Sales and Compound Poisson Demands Operations Research. 62: 1048-1063. DOI: 10.1287/Opre.2014.1299 |
0.33 |
|
2013 |
Melamed B, Zhao X. MARM Processes Part II: The Empirically-Based Subclass Methodology and Computing in Applied Probability. 15: 37-83. DOI: 10.1007/S11009-011-9210-6 |
0.41 |
|
2013 |
Melamed B, Zhao X. MARM Processes Part I: General Theory Methodology and Computing in Applied Probability. 15: 1-35. DOI: 10.1007/S11009-011-9209-Z |
0.413 |
|
2013 |
Shi J, Katehakis MN, Melamed B. Martingale methods for pricing inventory penalties under continuous replenishment and compound renewal demands Annals of Operations Research. 208: 593-612. DOI: 10.1007/S10479-012-1130-5 |
0.352 |
|
2012 |
Rogers DS, Melamed B, Lembke RS. Modeling and analysis of reverse logistics Journal of Business Logistics. 33: 107-117. DOI: 10.1111/J.0000-0000.2012.01043.X |
0.316 |
|
2010 |
Wardi Y, Adams R, Melamed B. A unified approach to infinitesimal perturbation analysis in stochastic flow models: The single-stage case Ieee Transactions On Automatic Control. 55: 89-103. DOI: 10.1109/Tac.2009.2034228 |
0.377 |
|
2010 |
Melamed B, Fan Y, Zhao Y, Wardi Y. IPA derivatives for a discrete model of make-to-stock production-inventory systems with backorders Annals of Operations Research. 181: 1-19. DOI: 10.1007/S10479-009-0662-9 |
0.431 |
|
2009 |
Fan Y, Melamed B, Zhao Y, Wardi Y. IPA derivatives for make-to-stock production-inventory systems with backorders under the (R, r) policy Methodology and Computing in Applied Probability. 11: 159-179. DOI: 10.1007/S11009-009-9119-5 |
0.356 |
|
2007 |
Zhao Y, Melamed B. IPA derivatives for make-to-stock production-inventory systems with lost sales Ieee Transactions On Automatic Control. 52: 1491-1495. DOI: 10.1109/Tac.2007.902760 |
0.381 |
|
2007 |
Melamed B, Pan S, Wardi Y. Simulation of IPA gradients in hybrid network systems Computers and Mathematics With Applications. 54: 161-182. DOI: 10.1016/J.Camwa.2006.12.032 |
0.586 |
|
2006 |
Zhao Y, Melamed B. IPA derivatives for make-to-stock production-inventory systems with backorders Methodology and Computing in Applied Probability. 8: 191-222. DOI: 10.1007/S11009-006-8548-7 |
0.398 |
|
2006 |
Ungureanu V, Melamed B, Katehakis MN, Bradford PG. Deferred Assignment Scheduling in cluster-based servers Cluster Computing. 9: 57-65. DOI: 10.1007/S10586-006-4897-9 |
0.313 |
|
2004 |
Melamed B, Pan S, Wardi Y. HNS: A streamlined hybrid network simulator Acm Transactions On Modeling and Computer Simulation. 14: 251-277. DOI: 10.1145/1010621.1010623 |
0.54 |
|
2004 |
Jagerman DL, Balcıoglu B, Altıok T, Melamed B. Mean Waiting Time Approximations in the G / G /1 Queue Queueing Systems. 46: 481-506. DOI: 10.1023/B:Ques.0000027996.28824.89 |
0.399 |
|
2004 |
Zhao Y, Melamed B. Make-to-Stock systems with backorders: IPA gradients Proceedings - Winter Simulation Conference. 1: 559-567. |
0.316 |
|
2003 |
Jagerman DL, Melamed B. Models and Approximations for Call Center Design Methodology and Computing in Applied Probability. 5: 159-181. DOI: 10.1023/A:1024501601020 |
0.386 |
|
2002 |
Cassandras CG, Wardi Y, Melamed B, Sun G, Panayiotou CG. Perturbation analysis for online control and optimization of stochastic fluid models Ieee Transactions On Automatic Control. 47: 1234-1248. DOI: 10.1109/Tac.2002.800739 |
0.392 |
|
2002 |
Wardi Y, Melamed B, Cassandras CG, Panayiòtou CG. Online IPA gradient estimators in stochastic continuous fluid models Journal of Optimization Theory and Applications. 115: 369-405. DOI: 10.1023/A:1020892306506 |
0.401 |
|
2001 |
Altiok T, Melamed B. The case for modeling correlation in manufacturing systems Iie Transactions (Institute of Industrial Engineers). 33: 779-791. DOI: 10.1023/A:1010949917158 |
0.427 |
|
2001 |
Melamed B. Modeling financial time series using ARM processes Nonlinear Analysis, Theory, Methods and Applications. 47: 2035-2048. DOI: 10.1016/S0362-546X(01)00331-5 |
0.441 |
|
2001 |
Wardi Y, Melamed B. Estimating nonparametric IPA derivatives of loss functions in tandem fluid models Proceedings of the Ieee Conference On Decision and Control. 5: 4517-4522. |
0.326 |
|
2000 |
Melamed B, Singh S. Parallelization algorithms for modeling ARM processes Journal of Applied Mathematics and Stochastic Analysis. 13: 393-410. DOI: 10.1155/S1048953300000332 |
0.381 |
|
1999 |
Melamed B. ARM processes and modeling methodology Communications in Statistics. Part C: Stochastic Models. 15: 903-929. DOI: 10.1080/15326349908807568 |
0.427 |
|
1997 |
Chien C, Goldsman D, Melamed B. Large-Sample Results for Batch Means Management Science. 43: 1288-1295. DOI: 10.1287/Mnsc.43.9.1288 |
0.306 |
|
1997 |
Melamed B. The empirical TES methodology: Modeling empirical time series Journal of Applied Mathematics and Stochastic Analysis. 10: 333-353. DOI: 10.1155/S1048953397000403 |
0.42 |
|
1996 |
Melamed B, Ren Q, Sengupta B. The QTES/PH/1 queue Performance Evaluation. 26: 1-20. DOI: 10.1016/0166-5316(95)00017-8 |
0.366 |
|
1995 |
Jagerman DL, Melamed B. Spectral Analysis of Basic TES Processes Informs Journal On Computing. 7: 140-148. DOI: 10.1287/Ijoc.7.2.140 |
0.369 |
|
1995 |
JelenkoviÄ PR, Melamed B. Algorithmic Modeling of TES Processes Ieee Transactions On Automatic Control. 40: 1305-1312. DOI: 10.1109/9.400470 |
0.358 |
|
1995 |
Hill JR, Melamed B. TEStool: A visual interactive environment for modeling autocorrelated time series Performance Evaluation. 24: 3-22. DOI: 10.1016/0166-5316(95)00006-J |
0.384 |
|
1994 |
Jagerman DL, Melamed B. On Markovian Traffic with Applications to Tes Processes Journal of Applied Mathematics and Stochastic Analysis. 7: 373-396. DOI: 10.1155/S1048953394000316 |
0.431 |
|
1994 |
Frost VS, Melamed B. Traffic Modeling For Telecommunications Networks As new communications services evolve, professionals must create better models to predict system performance Ieee Communications Magazine. 32: 70-81. DOI: 10.1109/35.267444 |
0.357 |
|
1994 |
Melamed B, Raychaudhuri D, Sengupta B, Zdepski J. TES-Besed Video Source Modeling for Performance Evaluation of Integrated Networks Ieee Transactions On Communications. 42: 2773-2777. DOI: 10.1109/26.328944 |
0.392 |
|
1994 |
Jagerman DL, Melamed B. The run probabilities of tes processes Communications in Statistics. Stochastic Models. 10: 795-829. DOI: 10.1080/15326349408807324 |
0.425 |
|
1994 |
Melamed B. The spectral structure of TES processes Communications in Statistics. Stochastic Models. 10: 599-618. DOI: 10.1080/15326349408807312 |
0.386 |
|
1994 |
Asmussen S, Melamed B. Regenerative simulation of TES processes Acta Applicandae Mathematicae. 34: 237-260. DOI: 10.1007/Bf00994268 |
0.439 |
|
1993 |
Glynn PW, Melamed B, Whitt W. Estimating Customer and Time Averages Operations Research. 41: 400-408. DOI: 10.1287/Opre.41.2.400 |
0.331 |
|
1993 |
Livny M, Melamed B, Tsiolis AK. The Impact of Autocorrelation on Queuing Systems Management Science. 39: 322-339. DOI: 10.1287/Mnsc.39.3.322 |
0.359 |
|
1992 |
Jagerman DL, Melamed B. The transition and autocorrelation structure ff tes processes Communications in Statistics. Stochastic Models. 8: 193-219. DOI: 10.1080/15326349208807221 |
0.377 |
|
1992 |
Lee DS, Melamed B, Reibman AR, Sengupta B. TES modeling for analysis of a video multiplexer Performance Evaluation. 16: 21-34. DOI: 10.1016/0166-5316(92)90065-O |
0.355 |
|
1992 |
Lirov Y, Melamed B. Distributed expert systems for queueing network capacity planning Annals of Operations Research. 39: 137-155. DOI: 10.1007/Bf02060939 |
0.395 |
|
1991 |
Melamed B. TES: A Class of Methods for Generating Autocorrelated Uniform Variates Informs Journal On Computing. 3: 317-329. DOI: 10.1287/Ijoc.3.4.317 |
0.323 |
|
1991 |
Lirov Y, Melamed B. Expert design systems for telecommunications Expert Systems With Applications. 2: 219-228. DOI: 10.1016/0957-4174(91)90119-Y |
0.391 |
|
1990 |
Green L, Melamed B. An anti-PASTA result for Markovian systems Operations Research. 38: 173-175. DOI: 10.1287/Opre.38.1.173 |
0.359 |
|
1990 |
Melamed B, Whitt W. On Arrivals That See Time Averages Operations Research. 38: 156-172. DOI: 10.1287/Opre.38.1.156 |
0.439 |
|
1990 |
Melamed B, Whitt W. On arrivals that see time averages : a martingale approach Journal of Applied Probability. 27: 376-384. DOI: 10.1017/S0021900200038821 |
0.41 |
|
1988 |
Kiessler PC, Melamed B, Yadin M, Foley RD. Analysis of a three node queueing network Queueing Systems. 3: 53-72. DOI: 10.1007/Bf01159087 |
0.391 |
|
1984 |
Melamed B, Yadin M. Randomization Procedures in the Computation of Cumulative-Time Distributions over Discrete State Markov Processes Operations Research. 32: 926-944. DOI: 10.1287/Opre.32.4.926 |
0.398 |
|
1984 |
Melamed B, Yadin M. Numerical Computation of Sojourn-Time Distributions in Queuing Networks Journal of the Acm (Jacm). 31: 839-854. DOI: 10.1145/1634.322459 |
0.302 |
|
1982 |
Melamed B. Sojourn Times in Queueing Networks Mathematics of Operations Research. 7: 223-244. DOI: 10.1287/Moor.7.2.223 |
0.39 |
|
1982 |
Melamed B. On Markov Jump Processes Imbedded at Jump Epochs and Their Queueing-Theoretic Applications Mathematics of Operations Research. 7: 111-128. DOI: 10.1287/Moor.7.1.111 |
0.35 |
|
1982 |
Beutler FJ, Melamed B. Multivariate Poisson Flows On Markov Step Processes Journal of Applied Probability. 19: 289-300. DOI: 10.1017/S0021900200022774 |
0.402 |
|
1982 |
Melamed B. On the reversibility of queueing networks Stochastic Processes and Their Applications. 13: 227-234. DOI: 10.1016/0304-4149(82)90037-0 |
0.364 |
|
1980 |
Melamed B. On Markov jump processes imbedded at jump epochs and their queueing-theoretic applications Advances in Applied Probability. 12: 309-310. DOI: 10.1017/S000186780005000X |
0.351 |
|
1979 |
Melamed B. Characterizations Of Poisson Traffic Streams In Jackson Queueing Networks Advances in Applied Probability. 11: 422-438. DOI: 10.2307/1426847 |
0.386 |
|
1979 |
Melamed B. On Poisson Traffic Processes in Discrete State Markovian Systems with Applications to Queueing Theory. Advances in Applied Probability. 11: 218-239. DOI: 10.2307/1426775 |
0.407 |
|
1978 |
Beutler FJ, Melamed B. Decomposition and Customer Streams of Feedback Networks of Queues in Equilibrium Operations Research. 26: 1059-1072. DOI: 10.1287/Opre.26.6.1059 |
0.382 |
|
1977 |
Beutler FJ, Melamed B. Decomposition and customer streams of feedback queueing networks in equilibrium Advances in Applied Probability. 9: 215-215. DOI: 10.2307/1426358 |
0.36 |
|
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