Research on the Production Logistic Parameters Setting and Simulating Optimization in Discrete Manufacturing Enterprise

Ai-hua Wu () and Zhi-yuan Ma
Additional contact information
Ai-hua Wu: Shandong University
Zhi-yuan Ma: Shandong University

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 873-885 from Springer

Abstract: Abstract With the further development of manufacturing industry informatization, the issue of data optimization, mining and decision aids has been concerned recently. The purpose of this paper is to present a production logistics parameters setting and simulating optimization system for discrete manufacturing enterprises. This system can be used to set suitable production, storage, and transport parameters through mathematical operation, logic optimization and simulating optimization in order to provide the best production logistics system solution.

Keywords: Decision aids; Enterprise information; Essential data; Logistic parameters; Simulating optimization (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_86

Ordering information: This item can be ordered from
http://www.springer.com/9783642400636

DOI: 10.1007/978-3-642-40063-6_86

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().