A Solution to Optimize Enterprise Business and Operation Process

Xue-wu Chang (), Xiao-yuan Ji () and Jian-xin Zhou ()
Additional contact information
Xue-wu Chang: Huazhong University of Science and Technology
Xiao-yuan Ji: Huazhong University of Science and Technology
Jian-xin Zhou: Huazhong University of Science and Technology

Chapter Chapter 77 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 727-735 from Springer

Abstract: Abstract Process continuous optimization plays an important role in enterprise informatization; however, there are few solutions with good operation and practicability for enterprises to implement. In this paper, a solution was proposed, which included a decomposition method of business process named “Timeline-Place-Roles (TPR)” and an “8 steps” value-added method of process analysis and continuous optimization based on the value chain. Then this paper took the “product-prepared” business process of a Chinese continuous manufacture enterprise as a case, and made the case analysis and optimization by using the solution. The results proved that the solution could optimize enterprise business process and improve the effect continuously and deepen informatization application to a certain extent.

Keywords: Business process; Depth application; Enterprise informatization; Operation process; Process optimization; Solution (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:978-3-642-38391-5_77

Ordering information: This item can be ordered from
http://www.springer.com/9783642383915

DOI: 10.1007/978-3-642-38391-5_77

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 ().