Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Local search heuristics for the identical parallel machine scheduling with transport robots. / Yuskov, Alexander; Kochetov, Yury.
в: International Journal of Artificial Intelligence, Том 21, № 2 Special Issue, 2023, стр. 130-149.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Local search heuristics for the identical parallel machine scheduling with transport robots
AU - Yuskov, Alexander
AU - Kochetov, Yury
N1 - This work was supported by Russian Science Foundation grant 21-41-09017. A server of Sobolev Institute of Mathematics, Omsk Branch was used for computing.
PY - 2023
Y1 - 2023
N2 - We consider a new scheduling problem originating from order picking at an automatic warehouse. We have a finite set of orders. Each order consists of a set of items. All orders should process through the picking stage, where items are extracted from pallets and packed in boxes for customers. We have some identical parallel picking machines and some parking slots for pallets. Each machine can use the pallets from all parking slots. Each pallet should be brought from the automatic warehouse to the parking slot and re-turned by a transport robot. The fleet of robots is limited. Our goal is to process all orders with minimal makespan. To tackle the problem, we design a mathematical model and three local search heuristics based on the order permutations. A fast decoder procedure creates an active schedule for parallel machines under the robot fleet constraint. Computational ex-periments for semi-synthetic test instances with up to 345 orders, 30 robots, and 16 parallel machines indicate the high efficiency of the approach.
AB - We consider a new scheduling problem originating from order picking at an automatic warehouse. We have a finite set of orders. Each order consists of a set of items. All orders should process through the picking stage, where items are extracted from pallets and packed in boxes for customers. We have some identical parallel picking machines and some parking slots for pallets. Each machine can use the pallets from all parking slots. Each pallet should be brought from the automatic warehouse to the parking slot and re-turned by a transport robot. The fleet of robots is limited. Our goal is to process all orders with minimal makespan. To tackle the problem, we design a mathematical model and three local search heuristics based on the order permutations. A fast decoder procedure creates an active schedule for parallel machines under the robot fleet constraint. Computational ex-periments for semi-synthetic test instances with up to 345 orders, 30 robots, and 16 parallel machines indicate the high efficiency of the approach.
KW - local search
KW - machine scheduling
KW - order picking
KW - transport robot
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85153275695&origin=inward&txGid=b34b3ffc6fcc7e690af4f3efe9a50197
UR - https://www.mendeley.com/catalogue/de0e140a-93b6-3df2-b6ca-1afc932ac921/
M3 - Article
VL - 21
SP - 130
EP - 149
JO - International Journal of Artificial Intelligence
JF - International Journal of Artificial Intelligence
SN - 0974-0635
IS - 2 Special Issue
ER -
ID: 56409419