DocumentCode :
2114995
Title :
Group decision support for analysing logistics development projects
Author :
Korpela, Jukka ; Tuominen, Markku
Author_Institution :
UPM-Kymmene Corp., Lappeenranta, Finland
Volume :
2
fYear :
1997
fDate :
7-10 Jan 1997
Firstpage :
493
Abstract :
Defining action plans is an important part of logistics strategic management. The selection of logistics development projects to be included in the action plans is usually a group effort, and a well-known decision methodology, the analytic hierarchy process (AHP), is an effective tool for group decision making. We propose the following AHP-based approach to analysing potential development projects to be included in a logistics action plan: (1) identify the potential projects, (2) analyse the contribution of each project to the achievement of the corporate and logistics long-term objectives using AHP, (3) analyse the prospects of successful implementation of each project using the AHP, and (4) select the projects to be included in the logistics development plan based on the contribution, the implementation prospects and the project cost using mixed integer programming. The approach is demonstrated with an illustrative numerical example
Keywords :
group decision support systems; integer programming; logistics data processing; project management; strategic planning; action plans; analytic hierarchy process; group decision making; group decision support; logistics development projects; logistics strategic management; long-term objectives; mixed integer programming; project cost; project identification; Companies; Costs; Decision making; Decision support systems; Linear programming; Logistics; Monitoring; Process planning; Profitability; Strategic planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1997, Proceedings of the Thirtieth Hawaii International Conference on
Conference_Location :
Wailea, HI
ISSN :
1060-3425
Print_ISBN :
0-8186-7743-0
Type :
conf
DOI :
10.1109/HICSS.1997.665652
Filename :
665652
Link To Document :
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