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[HTML][HTML] A machine learning optimization approach for last-mile delivery and third-party logistics
Third-party logistics is now an essential component of efficient delivery systems, enabling
companies to purchase carrier services instead of an expensive fleet of vehicles. However …
companies to purchase carrier services instead of an expensive fleet of vehicles. However …
A new model for Last-Mile Delivery and Satellite Depots management: The impact of the on-demand economy
Two-tier city logistics systems are playing a very important role nowadays in the
management of urban freight activities. Although several city authorities have promoted …
management of urban freight activities. Although several city authorities have promoted …
Energy and migration cost-aware dynamic virtual machine consolidation in heterogeneous cloud datacenters
Q Wu, F Ishikawa, Q Zhu, Y ** genetic algorithm with controlled gene transmission for the bin packing problem
In this study, the one-dimensional Bin Packing Problem (BPP) is approached. The BPP is a
classical optimization problem that is known for its applicability and complexity. We propose …
classical optimization problem that is known for its applicability and complexity. We propose …
Enhanced pseudo-polynomial formulations for bin packing and cutting stock problems
We study pseudo-polynomial formulations for the classical bin packing and cutting stock
problems. We first propose an overview of dominance and equivalence relations among the …
problems. We first propose an overview of dominance and equivalence relations among the …
[HTML][HTML] Capacity planning in logistics corridors: Deep reinforcement learning for the dynamic stochastic temporal bin packing problem
This paper addresses the challenge of managing uncertainty in the daily capacity planning
of a terminal in a corridor-based logistics system. Corridor-based logistics systems facilitate …
of a terminal in a corridor-based logistics system. Corridor-based logistics systems facilitate …
[HTML][HTML] A combined forecasting and packing model for air cargo loading: A risk-averse framework
In this paper, we present a combined forecasting and optimization decision-support tool to
assist air cargo revenue management departments in the acceptance/rejection process of …
assist air cargo revenue management departments in the acceptance/rejection process of …
Logistics capacity planning: A stochastic bin packing formulation and a progressive hedging meta-heuristic
We consider the logistics capacity planning problem arising in the context of supply-chain
management. We address the tactical-planning problem of determining the quantity of …
management. We address the tactical-planning problem of determining the quantity of …
Algorithms for the variable-sized bin packing problem with time windows
This paper introduces and studies the variable-sized bin packing problem with time
windows, a real problem in the logistics industry. Given a set of items with different volume …
windows, a real problem in the logistics industry. Given a set of items with different volume …