Optimal common due-date with completion time tolerance
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Cited by (14)
Structural properties and algorithms for earliness and tardiness scheduling against common due dates and windows: A review
2020, Computers and Industrial EngineeringA survey on scheduling problems with due windows
2015, European Journal of Operational ResearchAn effective fuzzy collaborative forecasting approach for predicting the job cycle time in wafer fabrication
2013, Computers and Industrial EngineeringCitation Excerpt :In addition, an internal due date is usually based on the cycle time forecast. Therefore, the internal due date assignment methods are also relevant to this study (e.g. Wilamowsky, Epstein, & Dickman, 1996; Behnamian, Zandieh, & Fatemi Ghomi, 2009). In the past decade, many studies in this field have been committed to using hybrid approaches, especially hybrid approaches in which a job is classified before predicting its cycle time.
Incorporating the FCM-BPN approach with nonlinear programming for internal due date assignment in a wafer fabrication plant
2010, Robotics and Computer-Integrated ManufacturingOn scheduling around large restrictive common due windows
2005, European Journal of Operational ResearchCitation Excerpt :They present a polynomial solution procedure for Kanet's (1981) problem with small symmetric CDWs. Wilamowsky et al. (1996) extend these results to large symmetric and asymmetric CDWs and to different but non-individual earliness and tardiness penalties. Baker and Scudder (1990) present a solution procedure for Kanet's (1981) problem with small CDWs for each job and continuous penalty functions.
A survey of the state-of-the-art of common due date assignment and scheduling research
2002, European Journal of Operational Research
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Dr. Yonah Wilamowsky is Professor of Computing and Decision Sciences at Seton Hall University. He serves as a consultant to government agencies, corporations and law firms in statistics and operations research. His current research interests include job scheduling, multiple objective decision making as well as statistical applications in the law. He has published articles in such journals as Naval Research Logistics Quarterly, Journal of the Operational Research Society, American Journal of Mathematical and Management Sciences, and Property Tax Journal. Dr. Wilamowsky received his Ph.D. in Operations Research from New York University.
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Dr. Sheldon Epstein in Associate Dean and Professor of Computing and Decision Sciences at Seton Hall University. He also serves as a statistical consultant for municipalities and law firms on issues of real estate taxation and assessment uniformity. He previously was an Operations Research Analyst for Trans World Airlines. He received his Ph.D. in Operations Research from New York University. His research interests include statistics and the law, opportunistic replacement and decision theory. He has published articles in such journals as Naval Research Logistics Quarterly, Journal of the Operational Research Society, Computers and Operations Research, and Property Tax Journal.
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Dr. Bernard Dickman is Associate Professor of Quantitative Methods at Hofstra University. He previously was a Management Science Consultant at the Celanese Corporation. He received his Ph.D. in Operations Research from New York University. His research interests include optimization theory, graph theory, and due-date scheduling. He has published articles in such journals as OMEGA, The Journal of Optimization Theory and Applications, Journal of the Operational Research Society, and American Journal of Mathematical and Management Sciences.