Delivery pattern planning in retailing with transport and warehouse workload balancing

Goods from warehouses must be scheduled in advance, prepared, routed, and delivered to shops. At least three systems directly interact within such a process: warehouse workforce scheduling, delivery routing system. Ideally, the whole problem with preceding inventory management (restocking) would solved one optimization pass. In order make simpler, we first decompose total by isolating scheduling. Then connect model rest of system workload balancing goal that is surrogate ofcoordination criterion for robustness. This paper presents practical application top-down discrete streamlines operations enables better reactivity changes circumstances. We search repetitive weekly patterns balance daily transportation utilization absence capacity constraints. Delivery are optimized quality criteria regarding specific store-warehouse pair types, special focus on fresh food aims at reducing write-offs due aging. The previous setup included semimanual scheduling based templates, historical prototypes, domain knowledge. have found augmented new automated brings an improvement 3% performance measure as well speed adjusting changes, was case policies during COVID-19 lockdowns.