Petersen, JulianJulianPetersenVogel, PhillipPhillipVogelMundt, ChristopherChristopherMundtLödding, HermannHermannLödding2026-10-052026-10-052026-0945th International Conference on Advances in Production Management Systems, APMS 2026https://hdl.handle.net/11420/65161Sufficient order sequencing configuration and implementation are key to achieving high schedule reliability and, consequently, customer satisfaction in make-to-order companies. This paper proposes a multi-method analysis approach to evaluate sequencing in make-to-order production. The approach consists of two phases: (1) data collection, including interviews, an order-level feedback data analysis, the value stream analysis for make-to-order companies, and process observations, and (2) an interpretative analysis to identify configuration and implementation deficits. As part of the feedback data analysis, a rank-based correlation analysis is introduced and validated using simulation data, providing visually accessible insights into sequencing implementation through characteristic correlation patterns. The multi-method analysis is validated in a case study, demonstrating its practical applicability and the benefits of integrating multiple analytical methods.enProduction Planning and ControlMake-to-order ProductionMulti-method analysisSequencingTechnology::620: EngineeringTechnology::658: General Managament::658.5: Of ProductionConference Paper10.1007/978-3-032-38618-2_11