Name
Title | ||
|---|---|---|
Dual command cycle dynamic sequencing method to consider GHG efficiency in unit-load multiple-rack automated storage and retrieval systems. |
Abstract | ||
|---|---|---|
•Emissions tax cost, penalty cost; discount and limitation on total emissions are considered.•Dynamic sequencing for sequencing S/R requests is studied.•Adding loading/unloading time and energy consumption by robot, conveyor and S/R machine.•The results showed that GA in terms of total cost, performance cost and GHG cost has better performance over ACO. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cie.2017.07.007 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Ant colony optimization (ACO),Automated storage and retrieval systems (AS/RS),Dual command (DC) cycle,Dynamic sequencing,Genetic algorithm (GA),Greenhouse gas (GHG) emissions | Throughput (business),Ant colony optimization algorithms,Mathematical optimization,Unit load,Rack,Engineering,Total cost,Operations management,Genetic algorithm,Greenhouse gas | Journal |
Volume | Issue | ISSN |
111 | C | 0360-8352 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Roozbeh Nia | 1 | 40 | 2.02 |
| Hassan Haleh | 2 | 0 | 0.68 |
| Abbas Saghaei | 3 | 41 | 7.70 |