Hoist　scheduling　in　automated　electroplating　lines　has　been　extensively　studied　in　a　static　environment.　However,　practical　electroplating　lines　are　subject　to　diversified　unforeseen　disruptions　that　require　frequent　rescheduling　to　maintain　or　optimize　system　performance.　This　paper　addresses　a　hoist　scheduling　problem,　where　randomly　arriving　jobs　need　to　be　inserted　into　an　existing　schedule　without　changing　the　sequence　of　hoist　moves　already　scheduled.　The　objective　is　to　minimize　the　total　completion　time　of　all　the　jobs　in　the　existing　schedule　and　a　newly　inserted　job.　We　develop　a　polynomial-time　heuristic　that　adjusts　the　starting　times　of　the　existing　hoist　moves　to　a　limited　extent　but　does　not　bring　about　a　severe　disturbance　of　the　existing　hoist　moves.　We　compare　our　algorithm　with　two　existing　approaches　with　different　rescheduling　policies　(i.e.,　partial　and　zero　adjustment　of　the　existing　schedule).　We　empirically　analyze　the　productivity　and　the　stability　of　the　schedules　generated　by　the　three　approaches.　Computational　results　demonstrate　that　our　algorithm　can　generate　more　productive　and　stable　schedules　than　the　two　existing　approaches.　Note　to　Practitioners-Electroplating　and　chemical　surface　treatment　lines　with　automated　material　handling　hoists　are　commonplace　in　electronics,　semiconductor,　and　many　other　manufacturing　industries.　In　an　uncertain　environment,　hoist　rescheduling　plays　an　important　role　in　improving　the　productivity　and　reducing　the　impact　of　disruptions.　This　paper　presents　a　hoist　scheduling　algorithm　to　deal　with　dynamic　job　arrivals　by　considering　the　impact　of　the　disturbance　incurred　by　rescheduling.　Our　algorithm　can　generate　a　better　schedule　with　smaller　total　completion　time　and　slighter　disturbance　than　the　existing　algorithms.　The　proposed　algorithm　runs　in　polynomial　time　and　can　be　used　to　control　hoist　operations　in　practical　electroplating　lines.　A　comparative　analysis　provides　useful　insights　on　the　implementation　of　rescheduling　approaches　and　policies　to　industry　practitioners.