Dynamic Master Production Scheduling for Automobile Mixed-Mode Assembly Line Based on the Rates of Payment and Profit

Author

Xuebing Li ; Di He

Author_Institution

Dept. of Electron. & Inf. Eng., Hubei Univ. of Automotive Technol., Shiyan, China

fYear

2013

fDate

21-23 June 2013

Firstpage

1186

Lastpage

1189

Abstract

The paper is devoted to planning reasonable master production scheduling in complex supply chain system for companies with small batches and multi-items. A multi-objective scheduling optimization model is developed for improving the rates of Payment and Profit and efficiency, and determining the scheduling rules, the implementation plans, and dynamic optimization model. The model can be solved using DNA genetic algorithm. This method can resolve dynamic scheduling problems for the mixed-model assembly lines, and it has good prospects of application in scheduling on automobile assembly enterprise.

Keywords

assembly planning; automobile manufacture; batch processing (industrial); dynamic programming; genetic algorithms; profitability; scheduling; supply chains; DNA genetic algorithm; automobile assembly enterprise; automobile mixed-mode assembly line; complex supply chain system; dynamic master production scheduling planning; dynamic optimisation model; efficiency improvement; implementation plans; multiitem small batch companies; multiobjective scheduling optimisation model; payment rate improvement; profit rate improvement; scheduling rules; DNA genetic algorithm; MPS; automobile mixed-model assembly; dynamic optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on

Conference_Location

Shiyang

Type

conf

DOI

10.1109/ICCIS.2013.314

Filename

6643231