Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Implementing business and manufacturing process reengineering is challenging and poses major issues. The dependence issues between process functions during the implementation phase are the main reason for the high failure rate of process reengineering. The incompetence in identifying the dependence...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Designs 2020-09, Vol.4 (3), p.23
Hauptverfasser: Khan, Md Ashikul Alam, Butt, Javaid, Mebrahtu, Habtom, Shirvani, Hassan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Implementing business and manufacturing process reengineering is challenging and poses major issues. The dependence issues between process functions during the implementation phase are the main reason for the high failure rate of process reengineering. The incompetence in identifying the dependence makes existing business process reengineering approaches static for modern business and manufacturing process structures. This paper has implemented a new process reengineering approach called the Khan–Hassan–Butt (KHB) methodology that incorporates the process interdependence algorithm to identify the dependence issues. The KHB method is a hybrid process reengineering approach to identify dependence issues before implementing changes; thus significantly reducing the failure rate of implementing business process reengineering. The KHB method has been implemented in a Bangladesh fabric manufacturing facility. The mapping and verification of the process have been completed using the WITNESS Horizon 22.5 simulation package. The case study has investigated the fabric production process and identified the dependence issues between each function and suggested changes to optimize the process. The outcome has shown significant improvement in production output and process efficiency.
ISSN:2411-9660
2411-9660
DOI:10.3390/designs4030023