Study on modeling and optimization of coordinative scheduling problem of manufacturing and delivery

Author

Hali, Pang ; Qingji, Zhang

Author_Institution

Coll. of Inf. Sci. & Technol., Northeastern Univ., Shenyang, China

fYear

2012

fDate

23-25 May 2012

Firstpage

1974

Lastpage

1978

Abstract

Considering capacity of transportation measured by space and delivery route constraints, a coordinative scheduling problem of single machine manufacturing and multiple customer delivery was studied in this paper. A bi-level mathematic programming model was presented, and Genetic algorithm and PSO algorithm are proposed to solve the problem. Some computing tests were performed to compare different delivery batch and coordinative strategy.

Keywords

genetic algorithms; mathematical programming; particle swarm optimisation; scheduling; transportation; PSO algorithm; bilevel mathematic programming model; coordinative scheduling problem; coordinative strategy; delivery batch; delivery route constraints; genetic algorithm; multiple customer delivery; single-machine manufacturing; space constraints; transportation capacity; Genetic algorithms; Job shop scheduling; Manufacturing; Processor scheduling; Single machine scheduling; Supply chains; Transportation; Coordinative scheduling; Genetic algorithm; Manufacturing and delivery; PSO algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244318

Filename

6244318