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Sizing, shelving and flow optimization of a warehouse

Liberato Acunzo

Sizing, shelving and flow optimization of a warehouse.

Rel. Domenico Augusto Francesco Maisano. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2021

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The following report is aimed at describing the project activity relating to data analysis and sizing of a warehouse. The goal of the internship was the application of lean methodologies to the logistics system with the aim of improving its operational efficiency in terms of safety, quality and productivity. The work deals with the methodologies and aspects to be considered that underlie the choice, design and construction of a warehouse, highlighting all the factors that contribute to its sizing. The main problem to be faced in the sizing of a warehouse consists in the optimal use of the available surface in order to ensure the efficiency and effectiveness of the operations that take place there. In this regard, the thesis has been divided into a series of chapters, each dedicated to the development and deepening of a specific theme. The first chapter briefly describes the company, its peculiar characteristics, products and work environment. Then, the second chapter describes the “As-is” situation of the warehouses, and so the issues that have made some improvement actions necessary and some theoretical hints of the methodology used. The document continues with the third chapter, which illustrates the measures taken for the sizing of the final warehouse, starting with the data collection, passing through the offers of suppliers up to the final layout. Starting from Grom's needs, we came to the design of a layout, a product allocation policy, the definition of the critical activities to be implemented and the suggestion of some development guidelines to improve product management.

Relators: Domenico Augusto Francesco Maisano
Academic year: 2021/22
Publication type: Electronic
Number of Pages: 53
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management)
Classe di laurea: New organization > Master science > LM-31 - MANAGEMENT ENGINEERING
Aziende collaboratrici: GROMART SRL
URI: http://webthesis.biblio.polito.it/id/eprint/20358
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