BPR and logistics: the role of computational models

Author

McGinnis, Leon F.

Author_Institution

Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

2

fYear

1999

fDate

1999

Firstpage

1365

Abstract

In manufacturing and distribution, a core process is logistics, and the cost of logistics is roughly 10% of GDP in the US. Designing, managing, and improving industrial logistics systems has never been more challenging, or more critical to competitive success. Fortunately, rapid advance in computational technology promises to provide industrial logistics system designers the kinds of design tools taken for granted by product designers. This paper identifies some opportunities and challenges, and highlights some recent successes in achieving the vision of powerful, integrated, computational platforms for industrial logistics system design

Keywords

business data processing; computer integrated manufacturing; digital simulation; logistics data processing; systems re-engineering; business process reengineering; competitive success; computational models; cost; design tools; distribution; industrial logistics system; manufacturing; simulation; system design; Business process re-engineering; Computational modeling; Computer industry; Computer vision; Costs; Economic indicators; Logistics; Manufacturing industries; Manufacturing processes; Product design;

fLanguage

English

Publisher

ieee

Conference_Titel

Simulation Conference Proceedings, 1999 Winter

Conference_Location

Phoenix, AZ

Print_ISBN

0-7803-5780-9

Type

conf

DOI

10.1109/WSC.1999.816866

Filename

816866