Increasing Production Effectiveness: Unveiling the Role of Buffer Inventory in Parallel Machine Scheduling with Machine Breakdowns

Operational machine status reflects production line efficiency. Increased efficiency is essential for manufacturing systems in the current competitive environment. machine scheduling is critical across manufacturing, parallel computing, and optimization. Customer order scheduling is gaining lot of attention. Real-world systems deal with breakdowns, shifts, instability, aiming for timely production. Parallel machine scheduling involves coordinating machines for performance objectives. Parallel computing complexities grow with problem size. Unrelated parallel machine scheduling is crucial. Batch scheduling for Unrelated Parallel Machine (UPM) faces challenges. Additionally, uncertainties in machine maintenance are indicated by levels, possibly affecting processing time. The role of work in progress (WIP) buffers inventory in uncertain breakdowns is overlooked. This study proposes a method grounded in a job shift system to determine buffer requirements, in stochastics machine maintenance enhancing practical solutions. A mathematical model is developed utilizing CPLEX to address the aforementioned issue. The outcomes demonstrate that the integration of buffer inventory in Parallel Machine Scheduling (PMS) during machine breakdown instances substantially enhances the timely satisfaction of customer orders.