A novel cross docking system for distributing the perishable products considering preemption: a machine learning approach
DOI10.1007/s10878-023-01057-yOpenAlexW4382371734MaRDI QIDQ6166197
Mohammad Mahdi Nasiri, Mohammad Amin Amani
Publication date: 2 August 2023
Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10878-023-01057-y
Linear regression; mixed models (62J05) Learning and adaptive systems in artificial intelligence (68T05) Transportation, logistics and supply chain management (90B06) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
Cites Work
- Unnamed Item
- Unnamed Item
- Scheduling cross docking operations under full, partial and no information on inbound arrivals
- Truck scheduling at zero-inventory cross docking terminals
- A mixed integer programming model for solving real-time truck-to-door assignment and scheduling problem at cross docking warehouse
- Minimizing makespan in two-stage hybrid cross docking scheduling problem
- Truck synchronization at single door cross-docking terminals
- A robust two-phase heuristic algorithm for the truck scheduling problem in a resource-constrained crossdock
- Truck scheduling in cross-docking terminals with fixed outbound departures
- Scheduling incoming and outgoing trucks at cross docking terminals to minimize the storage cost
- Integrated scheduling and assignment of trucks at unit-load cross-dock terminals with mixed service mode dock doors
- Heuristics for cross-docking scheduling of truck arrivals, truck departures and shop-floor operations
- Scheduling of inbound and outbound trucks in cross docking systems with temporary storage
- Integrated truck and workforce scheduling to accelerate the unloading of trucks
- Minimizing the makespan in a two-machine cross-docking flow shop problem
- Network scheduling problem with cross-docking and loading constraints
- Complexity of flow time minimization in a crossdock truck scheduling problem with asymmetric handover relations
- Regularization and Variable Selection Via the Elastic Net
- An adaptive polyploid memetic algorithm for scheduling trucks at a cross-docking terminal
This page was built for publication: A novel cross docking system for distributing the perishable products considering preemption: a machine learning approach