Organising the storage of the materials in the warehouse is fundamental and critical activity of every industrial business. The paper analyses methods to increment the efficiency of a Procter and Gamble warehouse located in Pomezia (RM), Italy, which stores healthcare and detergent products. During this analysis a particular focus is dedicated to the management and tracking of finished goods organized in pallet and stored in the distribution centre of P&G for Italy, Spain and Portugal. The main objective of the thesis project is to increase Inventory Record Accuracy (IRA) while identifying systems to track pallets in warehouses in such a way that be implemented in a low-density value case as for Pomezia P&G warehouse. The project requirements are price, feasibility, integration and scalability. New technologies have therefore been explored and the state of the art has been defined. To understand which one could be the best solution to the case study, research on the different types of warehouses has been performed and real companies’ cases and applied technologies have been investigated. A final optimal solution has therefore been selected: being an innovative and not documented one, it required to be practically designed and adapted to the case study. In addition, a market analysis has been performed and five potential suppliers have been contacted. An investment evaluation has been conducted to benchmark the technology cost and to estimate the potential saving. Finally, since the solution couldn’t be implemented in the real case because of the COVID outbreak, a simulated model based on MATLAB has been developed to statistically validate the solution.
PRINCIPAL ACADEMIC TUTOR
Arianna Alfieri, DIGEP Departement, Politecnico di Torino
OTHERS ACADEMIC TUTORS
Andrea Matta, Mecc Departement, Politecnico di Milano
Erica Pastore, DIGEP Departement, Politecnico di Torino
EXTERNAL INSTITUTIONS
Procter & Gamble (P&G)
EXTERNAL TUTOR
Iolanda Napolitano, P&G
TEAM MEMBERS
Giulio Dall’Ora, Politecnico di Milano
Gianlorenzo Gisotti, Politecnico di Torino
Federica Milinanni, Politecnico di Torino
Acheraf Salim El Khbazi, Politecnico di Torino
Sara Merli, Politecnico di Milano
Giovanni Rizzalli, Politecnico di Milano