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An improved hybrid multi-criteria/multidimensional model for strategic industrial location selection: Casablanca industrial zones as a case study.

Boutkhoum O, Hanine M, Agouti T, Tikniouine A - Springerplus (2015)

Bottom Line: The proposed model mainly consists in three stages.In the first stage, a decision-making committee has been established to identify the evaluation criteria impacting the location selection process.In the second stage, we develop fuzzy AHP software based on the extent analysis method to assign the importance weights to the selected criteria, which allows us to model the linguistic vagueness, ambiguity, and incomplete knowledge.

View Article: PubMed Central - PubMed

Affiliation: Laboratory of Information Systems Engineering, Department of Computer Science, Faculty of the Sciences Semlalia, Cadi Ayyad University, Marrakesh, Morocco.

ABSTRACT
In this paper, we examine the issue of strategic industrial location selection in uncertain decision making environments for implanting new industrial corporation. In fact, the industrial location issue is typically considered as a crucial factor in business research field which is related to many calculations about natural resources, distributors, suppliers, customers, and most other things. Based on the integration of environmental, economic and social decisive elements of sustainable development, this paper presents a hybrid decision making model combining fuzzy multi-criteria analysis with analytical capabilities that OLAP systems can provide for successful and optimal industrial location selection. The proposed model mainly consists in three stages. In the first stage, a decision-making committee has been established to identify the evaluation criteria impacting the location selection process. In the second stage, we develop fuzzy AHP software based on the extent analysis method to assign the importance weights to the selected criteria, which allows us to model the linguistic vagueness, ambiguity, and incomplete knowledge. In the last stage, OLAP analysis integrated with multi-criteria analysis employs these weighted criteria as inputs to evaluate, rank and select the strategic industrial location for implanting new business corporation in the region of Casablanca, Morocco. Finally, a sensitivity analysis is performed to evaluate the impact of criteria weights and the preferences given by decision makers on the final rankings of strategic industrial locations.

No MeSH data available.


Related in: MedlinePlus

Proposed approach
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Fig4: Proposed approach

Mentions: The proposed hybrid multi-criteria/multidimensional model for the selection ofstrategic industrial location has three major processes as explained in Fig. 4:Fig. 4


An improved hybrid multi-criteria/multidimensional model for strategic industrial location selection: Casablanca industrial zones as a case study.

Boutkhoum O, Hanine M, Agouti T, Tikniouine A - Springerplus (2015)

Proposed approach
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4631319&req=5

Fig4: Proposed approach
Mentions: The proposed hybrid multi-criteria/multidimensional model for the selection ofstrategic industrial location has three major processes as explained in Fig. 4:Fig. 4

Bottom Line: The proposed model mainly consists in three stages.In the first stage, a decision-making committee has been established to identify the evaluation criteria impacting the location selection process.In the second stage, we develop fuzzy AHP software based on the extent analysis method to assign the importance weights to the selected criteria, which allows us to model the linguistic vagueness, ambiguity, and incomplete knowledge.

View Article: PubMed Central - PubMed

Affiliation: Laboratory of Information Systems Engineering, Department of Computer Science, Faculty of the Sciences Semlalia, Cadi Ayyad University, Marrakesh, Morocco.

ABSTRACT
In this paper, we examine the issue of strategic industrial location selection in uncertain decision making environments for implanting new industrial corporation. In fact, the industrial location issue is typically considered as a crucial factor in business research field which is related to many calculations about natural resources, distributors, suppliers, customers, and most other things. Based on the integration of environmental, economic and social decisive elements of sustainable development, this paper presents a hybrid decision making model combining fuzzy multi-criteria analysis with analytical capabilities that OLAP systems can provide for successful and optimal industrial location selection. The proposed model mainly consists in three stages. In the first stage, a decision-making committee has been established to identify the evaluation criteria impacting the location selection process. In the second stage, we develop fuzzy AHP software based on the extent analysis method to assign the importance weights to the selected criteria, which allows us to model the linguistic vagueness, ambiguity, and incomplete knowledge. In the last stage, OLAP analysis integrated with multi-criteria analysis employs these weighted criteria as inputs to evaluate, rank and select the strategic industrial location for implanting new business corporation in the region of Casablanca, Morocco. Finally, a sensitivity analysis is performed to evaluate the impact of criteria weights and the preferences given by decision makers on the final rankings of strategic industrial locations.

No MeSH data available.


Related in: MedlinePlus