Research on Workstation-Oriented Production Logistics Optimization of Chinese Discrete Manufacturing Enterprises

Li Jiang; Hong Yan Wang

doi:10.4028/www.scientific.net/AMR.834-836.1751

Paper Titles

Conceptual Product Design Methodology through Functional Analysis
p.1728

Research of Fuzzy Cost Model for Selective Disassembly Planning
p.1732

Design and Application of Online Calibration System for Automatic Verification Pipeline of Electric Energy Data Acquisition Terminal
p.1736

Evaluation of Abaya Design Using Thermal Manikin
p.1744

Research on Workstation-Oriented Production Logistics Optimization of Chinese Discrete Manufacturing Enterprises
p.1751

The Simulation and Optimization of Chain Tool Magazine Automatic Tool Change Process
p.1758

Information Fusion of Multi-Source Isomerous NC Machining in Networked Manufacturing
p.1762

Working Hours Calculation for CNC Milling Machining Center
p.1766

The Complexity in Assembly Manufacturing System
p.1770

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 834-836Research on Workstation-Oriented Production...

Research on Workstation-Oriented Production Logistics Optimization of Chinese Discrete Manufacturing Enterprises

Abstract:

To optimize the production logistics in discrete manufacturing enterprises, we put forward a new thought of workstation-oriented production logistics for the solution of low picking efficiency and high delivery cost of JIT (Just in Time) mode. A distribution model is constructed to minimize the total distribution time in workshop. An improved genetic algorithm is designed to solve the proposed optimization model. Finally, a case study is presented to demonstrate the feasibility and validity of the proposed model.

You might also be interested in these eBooks

Research in Materials and Manufacturing Technologies

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

1751-1757

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.834-836.1751

Citation:

Cite this paper

Online since:

October 2013

Authors:

Li Jiang*, Hong Yan Wang

Keywords:

Distribution Optimization, Part Distribution, Part Supermarket, Production Logistics

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Wilhelm Dangelmaier, Matthias Fischer. Virtual and augmented reality support for discrete manufacturing system simulation[J]. Computers in Industry, Vol. 1(56), 371-383, (2007).

DOI: 10.1016/j.compind.2005.01.007

Google Scholar

[2] PETERSEN C, CHARLES G, AASE G, et al. A Comparison of Picking, Storage, and Routing Policies in Manual Order Picking[J]. International Journal of Physical Distribution & Logistics Management, Vol. 134(7): 11-19, (2008).

DOI: 10.1016/j.ijpe.2003.09.006

Google Scholar

[3] Minghui XU, Xiangtong QI, Gang YU. The Demand Disruption Management Problem for a Supply Cain System with Nonlinear Demand Functions[J]. JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING. Vol. 12(1), 82-97(2003).

DOI: 10.1007/s11518-006-0122-x

Google Scholar

[4] Vasileios Zeimpekis, George M Giaglis, Ioannis Minis. A Dynamic Real-time Fleet Management System for Incident Handling in City Logistlcs, C. Vehicular Technology Conference, 2900-2904, (2008).

DOI: 10.1109/vetecs.2005.1543877

Google Scholar

[5] Wen Naijun, Graves Stephen C., Ren Z. Justin. Ship-pack optimization in a two-echelon distribution system[J]. European Journal of Operation Research, Vol. 220(3): 777-785(2010).

DOI: 10.1016/j.ejor.2012.02.003

Google Scholar