Logistics real estate has been experiencing a recent rebirth led by the growth of retailing and e-commerce. Although these sectors are looking for facilities matching their logistics needs, the identification of the most suitable building becomes a challenging task. To date, from both the practitioner’s and academic perspectives there is a lack of models for assessing the quality of logistics facilities together with functionality (i.e. whether a warehouse is suitable for hosting a given logistics activity). The aim of this paper is to fill this gap by developing a rating model for assessing the quality and functionality of logistics facilities. A three-pronged methodology was adopted. First, a Systematic Literature Network Analysis (SLNA) was carried out on a sample of logistics buildings to identify the relevant features that must be taken into consideration when assessing logistics real estate. Second, a Delphi method involving experts in the field was used to fine-tune the list of features that emerged from the SLNA process and to evaluate the importance of each feature from a company perspective. The rating model was developed and validated through pilot tests on 27 logistics facilities. The rating model is divided into four sections: location, technical specifications, external spaces and internal areas. As an output, the model determines the building quality and main functionality, together with a gap analysis to detect the weakest emerging elements. This research fills an identified research gap in the logistics real estate literature. Specifically, it offers a quantitative and shared evaluation method, which can be used to estimate a building quality and functionality, thus extending the scope of the previous assessment methods available.

Benchmarking Logistics Facilities: A Rating Model to Assess Building Quality and Functionality

SARA PEROTTI;
2019-01-01

Abstract

Logistics real estate has been experiencing a recent rebirth led by the growth of retailing and e-commerce. Although these sectors are looking for facilities matching their logistics needs, the identification of the most suitable building becomes a challenging task. To date, from both the practitioner’s and academic perspectives there is a lack of models for assessing the quality of logistics facilities together with functionality (i.e. whether a warehouse is suitable for hosting a given logistics activity). The aim of this paper is to fill this gap by developing a rating model for assessing the quality and functionality of logistics facilities. A three-pronged methodology was adopted. First, a Systematic Literature Network Analysis (SLNA) was carried out on a sample of logistics buildings to identify the relevant features that must be taken into consideration when assessing logistics real estate. Second, a Delphi method involving experts in the field was used to fine-tune the list of features that emerged from the SLNA process and to evaluate the importance of each feature from a company perspective. The rating model was developed and validated through pilot tests on 27 logistics facilities. The rating model is divided into four sections: location, technical specifications, external spaces and internal areas. As an output, the model determines the building quality and main functionality, together with a gap analysis to detect the weakest emerging elements. This research fills an identified research gap in the logistics real estate literature. Specifically, it offers a quantitative and shared evaluation method, which can be used to estimate a building quality and functionality, thus extending the scope of the previous assessment methods available.
2019
Benchmarking, Warehouse, Building performance measurement, Cross-docking facility, Logistics facility, Rating system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1153641
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