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We model this setting as interval-constrained online bipartite matching problem. We consider a variant of this problem where reassignments are allowed and extend it by a notion of time that is decoupled from the job arrival events. As jobs arrive, the current point in time gradually advances, and once the time of a slot is passed, the job assigned to it is fixed and cannot be reassigned anymore. We analyze two algorithms for this problem with respect to the resulting matching size and the number of occurring reassignments. We show that FirstFit with reassignments according to the shortest augmenting path rule is exactly\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\frac{2}{3}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mfrac>\n                            <mml:mn>2<\/mml:mn>\n                            <mml:mn>3<\/mml:mn>\n                          <\/mml:mfrac>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    -competitive with respect to the matching cardinality. The competitive ratio remains\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\frac{2}{3}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mfrac>\n                            <mml:mn>2<\/mml:mn>\n                            <mml:mn>3<\/mml:mn>\n                          <\/mml:mfrac>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    if we restrict FirstFit to consider only augmenting paths causing at most a constant number of reassignments, which implies a linear number of reassignments in total. This fills the gap between the known optimal algorithm with no reassignments at all, which is\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\frac{1}{2}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mfrac>\n                            <mml:mn>1<\/mml:mn>\n                            <mml:mn>2<\/mml:mn>\n                          <\/mml:mfrac>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    -competitive, on the one hand, and an earliest-deadline-first strategy (EDF), which we prove to be 1-competitive in our over-time framework, but which suffers\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\Omega (n^2)$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>\u03a9<\/mml:mi>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:msup>\n                              <mml:mi>n<\/mml:mi>\n                              <mml:mn>2<\/mml:mn>\n                            <\/mml:msup>\n                            <mml:mo>)<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    reassignments in the worst case, on the other. We further extend the problem setting to the sets of feasible slots per job that are not intervals. In this setting, FirstFit remains\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\frac{2}{3}$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mfrac>\n                            <mml:mn>2<\/mml:mn>\n                            <mml:mn>3<\/mml:mn>\n                          <\/mml:mfrac>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    -competitive, which is optimal with respect to the matching cardinality, while EDF loses its optimality.\n                  <\/jats:p>","DOI":"10.1007\/s00236-026-00543-0","type":"journal-article","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T08:12:55Z","timestamp":1783757575000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Interval-constrained bipartite matching over time"],"prefix":"10.1007","volume":"63","author":[{"given":"Andreas","family":"Abels","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mariia","family":"Anapolska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christina","family":"B\u00fcsing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,11]]},"reference":[{"key":"543_CR1","doi-asserted-by":"publisher","unstructured":"Abels, A., Anapolska, M., B\u00fcsing, C.: Interval-constrained bipartite matching over time. 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