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Although PD projects are highly iterative (cyclical), almost all of the vast literature on project scheduling assumes that projects are acyclical. This article addresses this gap with a comprehensive analysis of 31 priority rules (PRs) on 18,480 portfolios containing 55,440 iterative projects. We find that the best PRs for iterative project portfolios differ significantly from those for acyclical ones, and that the best PRs at the project level differ from those at the portfolio level. The best PR depends on project and portfolio characteristics such as network density, iteration intensity, resource loading profile, and amount of resource contention. In particular, by amplifying the effects of iteration, high\u2010density networks hold dramatically different implications for iterative projects. Moreover, the best PR also differs depending on whether the objective is to minimize the average delay to all projects or to minimize delay to the overall portfolio. Thus, a project or portfolio manager who uses the same PR on all occasions will exhibit unnecessarily poor performance in most cases.<\/jats:p>","DOI":"10.1111\/deci.12172","type":"journal-article","created":{"date-parts":[[2015,9,14]],"date-time":"2015-09-14T19:14:47Z","timestamp":1442258087000},"page":"333-372","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Managing a Portfolio of Product Development Projects under Resource Constraints"],"prefix":"10.1111","volume":"47","author":[{"given":"Tyson R.","family":"Browning","sequence":"first","affiliation":[{"name":"Neeley School of Business Texas Christian University  TCU Box 298530 Fort Worth TX 76129"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali A.","family":"Yassine","sequence":"additional","affiliation":[{"name":"Engineering Management Program American University of Beirut  Beirut Lebanon"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,9,14]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/01446198800000010"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1937-5956.2005.tb00029.x"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/07408170601180510"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/1520-6750(200102)48:1<18::AID-NAV2>3.0.CO;2-7"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/pmj.20033"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijproman.2007.06.004"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(90)90116-S"},{"key":"e_1_2_7_9_1","unstructured":"Bouleimen K. &Lecocq H.(2000).Multi\u2010objective simulated annealing for the resource\u2010constrained multi\u2010project scheduling problem.7th International Workshop on Project Management and Scheduling (PMS 2000) Osnabr\u00fcck Germany April 17\u201319."},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1060.0617"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2002.806709"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1937-5956.2007.tb00177.x"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10951-009-0131-y"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2010.03.009"},{"key":"e_1_2_7_15_1","unstructured":"Chalupnik M. 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