arrow
Return

A framework for designing efficient value chain networks

delete1999-05-01
delete111
PRE
AI
S
Srinivas Talluri *
R
Roger C. Baker
J
Joseph Sarkis
DOI:10.1016/S0925-5273(98)00225-4delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Strategic interorganizational networks aid organizations in gaining competitive advantages and improving production efficiencies. Network organizations, virtual corporations, and value-adding partnerships are envisioned by many experts as the epitome of interorganizational networks for the 21st century. These multi-organizational structures are viewed as a solution for rapid introduction of products while maintaining high quality and minimal costs. One common key issue in designing these new forms of organizations is the partner selection process. The business processes, owned by organizational partners, must be efficient both individually and as a collective group. This paper proposes a two-phase quantitative framework to aid the decision making process in effectively selecting an efficient and a compatible set of partners. Phase 1 identifies efficient candidates for each type of business process (e.g. design, manufacturing, distribution, etc.) utilizing data envelopment analysis. Phase 2 involves the execution of an integer goal programming model to determine the best portfolio of efficient partners based on a number of compatibility objectives. Model application and insights are evident through an illustrative example. (C) 1999 Elsevier Science B.V. All rights reserved.
Keywords:
value chain networks
data envelopment analysis
goal programming
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

International Journal of Production Economics cover
International Journal of Production Economics
IF:
10
Papers:
8.1K
Citations:
3.6W

Organization

No organization information available
Cited Papers

Cited Papers

Dmp1α Inhibits HER2/neu-Induced Mammary Tumorigenesis
err2013-10-29
err0
errOAAI
errElizabeth A. Fry; Pankaj Taneja; Dejan Maglic; Sinan Zhu; Guangchao Sui; Kazushi Inoue
errShare
errSave
The Impact of Language Experience on Language and Reading
err2018-01-01
err0
PREAI
errMark S. Seidenberg; Maryellen C. MacDonald
errShare
errSave
MANAGING 21ST-CENTURY NETWORK ORGANIZATIONS
err1992-12-01
err250
PREAI
errSNOW, CC; MILES, RE; COLEMAN, HJ
errShare
errSave
Prediction of Human Actions in Assembly Process by a Spatial-Temporal End-to-End Learning Model
err2019-04-02
err0
PREAI
errZhujun Zhang; Zhujun Zhang; Weitian Wang; Yi Chen; Yunyi Jia; Gaoliang Peng
errShare
errSave
errShare
errSave
Recent advances in the synthetic and medicinal perspective of quinolones: A review
err2019-11-01
err0
PREAI
errPrashant Dhiman; Nidhi Arora; Punniyakoti Veeraveedu Thanikachalam; Vikramdeep Monga
errShare
errSave
APPLIED DATA ENVELOPMENT ANALYSIS
err1991-05-01
err560
PREAI
errBOUSSOFIANE, A; DYSON, RG; THANASSOULIS, E
errShare
errSave
no more