Replenishment policy based on modified ant colony optimisation and statistical analysis under the pre-order penetration point
DOI10.1080/00207160701609045zbMath1160.90324OpenAlexW2140584177MaRDI QIDQ3615552
Kuei-Hsien Chen, Chwen-Tzeng Su, Jui-Tsung Wong
Publication date: 20 March 2009
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160701609045
algorithmnonlinear integer programmingnumerical examplessupply chaincash flowreplenishment policyresponse surface methodologyservice level constraintant colony optimisationorder penetration pointstochastic dynamic lot-sizing problemtwo-phased transportation cost
Numerical mathematical programming methods (65K05) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06)
Related Items (1)
Cites Work
- Unnamed Item
- Hybrid heuristics for the capacitated lot sizing and loading problem with setup times and overtime decisions
- An optimal polynomial time algorithm for the common cycle economic lot and delivery scheduling problem.
- On the finite-time dynamics of ant colony optimization
- Dynamic Version of the Economic Lot Size Model
- Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
- Optimal Lot-Sizing/Vehicle-Dispatching Policies Under Stochastic Lead Times and Stepwise Fixed Costs
- A Dynamic Model for Inventory Lot Sizing and Outbound Shipment Scheduling at a Third-Party Warehouse
- Scheduling Trains and Containers with Due Dates and Dynamic Arrivals
- Parallel Ant Colonies for the quadratic assignment problem
- A basic period approach to the economic lot scheduling problem with shelf life considerations
- Hybrid genetic algorithm for the economic lot-scheduling problem
- A Backlogging Model and a Multi-Echelon Model of a Dynamic Economic Lot Size Production System—A Network Approach
This page was built for publication: Replenishment policy based on modified ant colony optimisation and statistical analysis under the pre-order penetration point