Our Thesis presents a systematic literature review of Supply Chain Management and Supply Chain Planning and Control of the lasts 10 years, from 2008 until today. It shows a picture of the current literature aiming to understand which kind of topics authors address, in which type of supply chain they analyze those topics, in which way they deal with them and which results they are willing to achieve. In order to do that, 95 scientific papers are gathered and were previously selected applying a precise screening process making use of the search engine SCOPUS. All the papers which have been analyzed are quantitative based papers, all of those use a simulation/optimization approach and mathematical models to prove through numerical results the consistency of the methodologies studied. What is done in this work is a classification of the scientific papers gathered, clustering them by dimensions i.e. the issue dealt by authors, the supply chain structure and the tools which have been used and performances evaluated. In order to identify all the possible dimensions we used the support of an excel database composed by all the information that we have extrapolated by papers and we built a Typology which make us able to classify and describe all the dimensions. Then the relationships between different dimensions are evaluated through a statistical methodology, making use of tables where occurrences are computed. This analysis enabled us to: understand where makes sense studying a particular issue, how to deal with it, how measure the model results and through which performances; to identify some gaps in the current literature and propose avenues for further research in this field.
La nostra tesi presenta una revisione sistematica della letteratura sulla gestione della supply chain e sulla pianificazione e il controllo della filiera degli ultimi 10 anni, dal 2008 ad oggi. Mostrano un quadro della letteratura corrente, quale tipo di catena di approvvigionamento analizzano questi argomenti, in che modo si occupano di loro e quali risultati sono disposti a raggiungere. Per fare ciò, 95 documenti scientifici sono raccolti e applicati a un processo di screening preciso utilizzando il motore di ricerca SCOPUS. Tutti i documenti che sono stati analizzati sono carte basate su dati quantitativi, tutti quelli utilizzati per l'approccio di simulazione / ottimizzazione e modelli matematici da provare attraverso risultati numerici. Quello che viene fatto in questo lavoro è una classificazione dei documenti scientifici raccolti, raggruppandoli per dimensioni, cioè la questione trattata dagli autori, la catena di approvvigionamento e gli strumenti che sono stati utilizzati e le prestazioni valutate. Per identificare le possibili dimensioni abbiamo utilizzato il supporto di un database excel composto dalle informazioni che abbiamo estrapolato dai documenti e abbiamo costruito una tipologia che ci consente di classificare e descrivere tutte le dimensioni. Quindi la relazione tra le diverse dimensioni viene valutata attraverso la metodologia statistica, facendo uso di tabelle in cui vengono calcolate le occorrenze. Questa analisi ci ha permesso di: capire dove ha senso per un particolare problema, come affrontarlo, come misurare i risultati del modello e attraverso quali prestazioni; per identificare alcune lacune nella letteratura corrente e le vie proposte per ulteriori ricerche in questo campo.
A survey on supply chain planning : a guide for future quantitative papers using simulation and mathematical models
ANGAROLA, MATTIA;CICCHETTI, LORENZO
2017/2018
Abstract
Our Thesis presents a systematic literature review of Supply Chain Management and Supply Chain Planning and Control of the lasts 10 years, from 2008 until today. It shows a picture of the current literature aiming to understand which kind of topics authors address, in which type of supply chain they analyze those topics, in which way they deal with them and which results they are willing to achieve. In order to do that, 95 scientific papers are gathered and were previously selected applying a precise screening process making use of the search engine SCOPUS. All the papers which have been analyzed are quantitative based papers, all of those use a simulation/optimization approach and mathematical models to prove through numerical results the consistency of the methodologies studied. What is done in this work is a classification of the scientific papers gathered, clustering them by dimensions i.e. the issue dealt by authors, the supply chain structure and the tools which have been used and performances evaluated. In order to identify all the possible dimensions we used the support of an excel database composed by all the information that we have extrapolated by papers and we built a Typology which make us able to classify and describe all the dimensions. Then the relationships between different dimensions are evaluated through a statistical methodology, making use of tables where occurrences are computed. This analysis enabled us to: understand where makes sense studying a particular issue, how to deal with it, how measure the model results and through which performances; to identify some gaps in the current literature and propose avenues for further research in this field.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/144481