An analytic model for locating facilities strategically
Fariborz Y. Partovi
Omega, 2006, vol. 34, issue 1, 41-55
Abstract:
This paper presents a strategic solution to the facility location problem which incorporates both external and internal criteria in the decision-making process. The external components of the model are customers and their wants, competitors, and the characteristics of various locations. The internal components of the model are the critical processes in the manufacturing organization. The framework presented uses quality function deployment (QFD), analytic hierarchy process (AHP) and analytic network process (ANP). QFD matrices with interconnected rows and columns relate market segments, competitive priorities, critical processes, location attributes and various locations. AHP determines the intensity of the relationship between the row and column variables of each matrix. Finally, ANP determines the intensity of synergistic effects among column variables. The model fine-tunes and adds precision to an otherwise qualitative strategic decision process. The applicability of our proposed model is demonstrated with a case study that summarizes an intervention in which the model's framework and basic concepts were applied.
Keywords: Strategic; location; decision; Facility; location; selection; Quality; function; deployment; Analytic; network; process (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305-0483(04)00114-8
Full text for ScienceDirect subscribers only
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:eee:jomega:v:34:y:2006:i:1:p:41-55
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Omega is currently edited by B. Lev
More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().