A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and constant need satisfy customers real time. A key aspect be addressed this particular aim is adoption of multi-criteria approach incorporating current dynamics FJSS. Thus, paper proposes an integrated enhanced method dispatching algorithm based on fuzzy AHP (FAHP) TOPSIS. Initially, two first steps (identification eligible operations machine selection) were implemented. The FAHP TOPSIS methods then underpin operation selection process. In particular, was used calculate criteria weights under uncertainty, later applied rank operations. As fourth step algorithm, with highest priority scheduled together its initial final case study from apparel industry employed validate effectiveness proposed approach. results evidenced that our outperformed company’s scheduling by median lateness 3.86 days while prioritizing high-throughput products earlier delivery.