An innovative company should be ready to take advantage of all the opportunities offered by the market as well as to face the market challenges, and particularly to meet customers' needs. Thus, when compiling a business plan, the use of decision support tools can improve the presented solutions. This paper presents a method for the geolocation of a new industrial plant, to become competitive in the customer mind-set. An innovative project in the E-mobility sector of a company based in Europe concerned a partnership with a corporation and required a new plant located in the US. The problem of the geolocation is solved using a fuzzy analytic hierarchy process approach. Ten key factors that could potentially affect the location of a newcomer in the US have been selected and analyzed, and the State for the optimal location identified.

The Geolocation of an Industrial Plant by Means of a Multi-Criteria Fuzzy Approach / Butturi, M. A.; Lolli, F.; Filippi, D.. - (2020), pp. 128-134. (Intervento presentato al convegno 6th International Conference on Industrial and Business Engineering, ICIBE 2020 tenutosi a chn nel 2020) [10.1145/3429551.3429567].

The Geolocation of an Industrial Plant by Means of a Multi-Criteria Fuzzy Approach

Butturi M. A.
;
Lolli F.;Filippi D.
2020

Abstract

An innovative company should be ready to take advantage of all the opportunities offered by the market as well as to face the market challenges, and particularly to meet customers' needs. Thus, when compiling a business plan, the use of decision support tools can improve the presented solutions. This paper presents a method for the geolocation of a new industrial plant, to become competitive in the customer mind-set. An innovative project in the E-mobility sector of a company based in Europe concerned a partnership with a corporation and required a new plant located in the US. The problem of the geolocation is solved using a fuzzy analytic hierarchy process approach. Ten key factors that could potentially affect the location of a newcomer in the US have been selected and analyzed, and the State for the optimal location identified.
2020
6th International Conference on Industrial and Business Engineering, ICIBE 2020
chn
2020
128
134
Butturi, M. A.; Lolli, F.; Filippi, D.
The Geolocation of an Industrial Plant by Means of a Multi-Criteria Fuzzy Approach / Butturi, M. A.; Lolli, F.; Filippi, D.. - (2020), pp. 128-134. (Intervento presentato al convegno 6th International Conference on Industrial and Business Engineering, ICIBE 2020 tenutosi a chn nel 2020) [10.1145/3429551.3429567].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1226204
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