Abstract The value of Digital twins in the smart world has been realized in the recent years. In the information technology there is a strong move towards the digital twin currently. In this work we introduce an initial step to upgrade simulations to digital twins to enhance the productivity even further. The multi-objective optimisation approach is important in achieving high efficiency of production scheduling.... The value of Digital twins in the smart world has been realized in the recent years. In the information technology there is a strong move towards the digital twin currently. In this work we introduce an initial step to upgrade simulations to digital twins to enhance the productivity even further. The multi-objective optimisation approach is important in achieving high efficiency of production scheduling. The goal of the optimization is to end a production schedule that satisfies different, contradictory production constraints. We take a simulation tool that was used by a memetic version of the Indicator- Based Evolutionary Algorithm with customized reproduction operators and local search procedures to end a set of feasible, non-dominated solutions and analyse the required steps to achieve a digital twin. We show that with a multi-objective approach that is able to find high-quality solutions and flexibility of many “equal” solutions, the digital twin becomes a powerful tool for a decision maker. Read More Read Less

Abstract In this work we introduced a bi-objective mathematical model using the GAMS software. Besides we calculate the cost associated with the impact of service level on the optimization. Through this current exercise we introduced a new biobjective mathematical model to determine an optimized maintenance-routing policy, simultaneously. Basically the first objective function minimizes the total costs due to traveling and a delay in... In this work we introduced a bi-objective mathematical model using the GAMS software. Besides we calculate the cost associated with the impact of service level on the optimization. Through this current exercise we introduced a new biobjective mathematical model to determine an optimized maintenance-routing policy, simultaneously. Basically the first objective function minimizes the total costs due to traveling and a delay in start time of a Preventive Maintenance (PM)/ Corrective Maintenance (CM) operation. The next intended function considers the service level which is measured based on waiting times before beginning of the CM operations. In the proposed model, we consider time windows in repairing the machines and skill-based technician assignment in performing PM/CM operations. Thus the new framework is modeled as a mixed-integer linear program and is solved by using the software GAMS. Read More Read Less