LAUREA MAGISTRALE IN INGEGNERIA GESTIONALE

Numero di persone: 1

Relatore 2: Antonella Moretto

Contatti: Camilla Borsani

Contenuto / Descrizione del lavoro: Procurement counts nowadays up to 80% of the entire P&L (Profit and Loss account) of companies. For this reason, its impact on economic performance, financial performance, and on reputation and sustainability is huge. Therefore, to further create value, it is crucial for companies to manage sourcing and procurement activities strategically adopting a new strategic approach compared to the traditional transactional one. The objective of the thesis consists in investigating how purchasing departments of different firms take decisions in terms of make or buy choice. Make or buy is the first phase of the purchasing process and different firms may take into consideration different parameters in taking this decision. Hence, this thesis will be conducted by interviewing the purchasing department of different firms in order to identify different models to take the make or buy choice.

Data scadenza: 22-12-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of Italian, Good knowledge of English

Numero di persone: 1

Relatore 2: Antonella Moretto

Contatti: Camilla Borsani

Contenuto / Descrizione del lavoro: Procurement counts nowadays up to 80% of the entire P&L (Profit and Loss account) of companies. For this reason, its impact on economic performance, financial performance, and on reputation and sustainability is huge. Therefore, to further create value, it is crucial for companies to manage sourcing and procurement activities strategically adopting a new strategic approach compared to the traditional transactional one. The objective of the thesis consists in investigating how purchasing departments of different firms conduct the qualification process of new potential suppliers and how they evaluate their performance after suppliers have been qualified. This thesis will be conducted by interviewing the purchasing department of different firms in order to identify models and patterns of qualification process and calculation of the vendor rating.

Data scadenza: 22-12-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of Italian, Good knowledge of English

Numero di persone: 1

Relatore 2: Antonella Moretto

Contatti: Camilla Borsani

Contenuto / Descrizione del lavoro: Procurement counts nowadays up to 80% of the entire P&L (Profit and Loss account) of companies. For this reason, its impact on economic performance, financial performance, and on reputation and sustainability is huge. Therefore, to further create value, it is crucial for companies to manage sourcing and procurement activities strategically adopting a new strategic approach compared to the traditional transactional one. The objective of the thesis consists in investigating how purchasing departments of different firms develop and perform the spending analyses, in order to understand which kind of analyses they perform and how. In turn, to understand how these companies use the results of such analyses to take actions for improvement.

Data scadenza: 22-12-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of Italian, Good knowledge of English

Numero di persone: 2

Relatore 2: Antonella Moretto

Contatti: Camilla Borsani

Contenuto / Descrizione del lavoro: Procurement counts nowadays up to 80% of the entire P&L (Profit and Loss account) of companies. For this reason, its impact on economic performance, financial performance, and on reputation and sustainability is huge. Therefore, to further create value, it is crucial for companies to manage sourcing and procurement activities strategically adopting a new strategic approach compared to the traditional transactional one. The purchasing process (PP) is a strategic one involving multiple actors that work in different departments. Moreover, the PP is managed differently according to the context of the company, often providing also different performance. For this reason, it would be relevant to investigate the relationship among the organization and the purchasing process, analysing different models in different companies in order to extract different patterns. The dissertation would be developed through case studies by directly interviewing the Purchasing Directors of different firms.

Data scadenza: 22-12-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of English and Italian

Numero di persone: 2

Relatore 2: Antonella Moretto

Co-Relatore: Michela Guida

Contatti: Michela Guida

Contenuto / Descrizione del lavoro: AI-based digital procurement solutions are becoming increasingly common, thanks to a growing offer by specialized IT providers. Despite this, many buyer firms have not yet made the transition to these advanced solutions. One of the main reasons lies in the low awareness and understanding of the value generated by these AI for procurement. In turn, top management has a low awareness of the topic and does not prioritize investments in digital procurement solutions. To create awareness in the value of AI for procurement, a structured framework is needed to calculate the impact of AI-based procurement solutions and examine potential return on investment (ROI) enterprises may realize by deploying a digital procurement platform. The purpose of this thesis is to provide the buyer firm with a framework to evaluate the potential financial impact of digital procurement. To better understand the benefits, costs, and risks associated with this investment, this thesis aims at interviewing top level managers working in purchasing departments and already leveraging AI in the procurement process. Furthermore, the support of a leading IT provider developing and delivering AI-based solution would provide a valuable perspective to the study.

Data scadenza: 22-12-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of English and Italian

Numero di persone: 2

Relatore 2: Antonella Moretto

Co-Relatore: Claudia Ciceri

Contatti: Claudia Ciceri

Contenuto / Descrizione del lavoro: Concerns about cyberattacks on supply chains are growing  as more and more companies are going through a digitization journey by modernizing their applications, data, and infrastructures. Indeed, while digitization brings undeniable benefits to business, it also make supply chains more vulnerable to cyberattacks. Any company is only as secure as the most insecure partner in its supply chain is and digitization have made cybersecurity a top concern. However, digital tools can also help improve cybersecurity, and especially AI is at the forefront of identifying cyber risks and enhancing cybersecurity by increasing detection accuracy, speeding up investigation, automating response, and providing proactive protection. This dissertation aims to investigate how cybersecurity should be treated as a relevant trend for supply chain risk management including a proper focus on the use of AI to secure applications, data, and infrastructure to address this top risk for supply chains.

Data scadenza: 22-12-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of English and Italian

Numero di persone: 2

Relatore 2: Antonella Moretto

Contatti: Claudia Ciceri, Michela Guida

Contenuto / Descrizione del lavoro: New digital technologies play a critical role in strategic purchasing management. Due to the growing complexity of the supply bases, companies are exposed to continuous risks induced by the relationship with other players and by unforeseen events in the supply chain (i.e., the Covid pandemic, the chip shortage, the war in Ukraine). To help the focal company, AI-powerd supplier risk management tool are spreading, which identify high risk suppliers and recommend mitigation strategies. The aim of this thesis is to investigate how the buyer firms are currently leveraging AI-based solutions to manage risks coming from their supply chain, trying to identifying some archetypes describing the most frequent strategies when it come with AI and supply risk management. The thesis work involves the analysis of the literature, the analysis of secondary sources, the elaboration of case studies thanks to interviews with players who implement Big Data analytics technologies to support the purchasing function.

Data scadenza: 22-12-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of English and Italian

Numero di persone: 2

Relatore 2: Antonella Moretto

Co-Relatore: Camilla Borsani

Contatti: Camilla Borsani

Contenuto / Descrizione del lavoro: In the world of procurement, negotiations are an integral part of the purchasing process, ultimately determining price, quality, delivery and other attributes of spend, as well as setting the tone for the ongoing buyer-supplier relationship. As automation and technology are drastically changing business processes and the procurement process itself, negotiation is evolving simultaneously with the digital transition. Indeed, digital procurement solutions are enabling this future by providing access to previously unavailable data to facilitate more efficient operations. This research will explore the impact that digital tools (AI, Big Data, machine learning...) can have on the negotiation process. The analysis will also include the identification of potential drivers and barriers to the adoption of digital tools in negotiations.

Data scadenza: 14-11-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of English and Italian

Numero di persone: 2

Relatore 2: Antonella Moretto

Co-Relatore: Alessio Ronchini

Contatti: Alessio Ronchini

Contenuto / Descrizione del lavoro: Supply Chain Finance adoption has increased considerably in the last ten years. Firms have found in Supply Chain Finance a valuable instrument to manage several processes (ex. Cash management, credit collection, etc.) and to optimize financial flows performance, also helping suppliers and customers. Nevertheless, firms may not be really aware about their level of maturity concerning SCF. They may have been adopted one solution, but there could be still space for others aimed at furtherly improving performance. Knowing the maturity level is the first step in understanding if the SCF program can be improved and/or enlarged to other players. The final aim is the development of a SCF maturity model that, according to different dimensions, can provide useful information about the potential roadmap of a full and profitable adoption of SCF. The thesis will be developed with the Supply Chain Finance observatory.

Data scadenza: 14-11-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of Italian, Good knowledge of English

Numero di persone: 2

Relatore 2: Antonella Moretto

Contatti: Camilla Borsani

Contenuto / Descrizione del lavoro: Negotiation can be a highly complex and dynamic process and a soft skill that is essential to all supply managers. In particular, business negotiations are a key element of supply chain interactions that can create value for both the buyer and the supplier. By influencing each other during negotiations, buyers and suppliers seek favourable agreements on a variety of factors, including product specifications, prices, delivery terms, and payment terms. In this thesis, the dyadic relationships between buyers and suppliers in the negotiation process will be analyzed in depth. Particular attention will be paid to power and interdependence among negotiating actors, as they are generally considered important concepts for understanding buyer-supplier relationships in order to identify potential archetypes of negotiation strategies that are consistent with sourcing strategy.    

Data scadenza: 14-11-2022

Luogo Svolgimento Attività: Department of Management Engineering (DIG)

Requisiti: Excellent knowledge of Italian, Good knowledge of English