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Paper

Integrating AI in organizations for value creation through Human-AI teaming: A dynamic-capabilities approach

Publication Date
Although the potentialities of artificial intelligence (AI) are motivating its fast integration in organizations, our knowledge on how to capture organizational value out of these investments is still scarce. Relying on an approach to dynamic capabilities that focuses on the team level, we examine how humans and AI create interactions...
Cover of Renewable and Sustainable Energy Reviews, vol. 202
Paper

The Role of Internet of Things Adoption on the Sustainability Performance of the Renewable Energy Supply Chain: A Conceptual Framework

Publication Date
Renewable energy resources will play an essential role in the future. However, the understanding of their supply chains and their relationship to emerging technologies like the Internet of Things (IoT) has not been thoroughly investigated. Furthermore, integrating IoT technology can compute the impact on sustainable development goals and develop customized...
Computers in Industry cover
Paper

E-fulfillment cost management in omnichannel retailing: An exploratory study

Publication Date
The purpose of this study is twofold: investigating how omnichannel (OC) retailers manage e-fulfillment costs and establishing how these costs relate to the evolution of OC retailers' e-fulfillment strategies. Experts in e-fulfillment from 34 European OC retailers across various sectors participated in an exploratory survey. The study's results reveal that...
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Report

Drop Trailer Forecasting in Volatile Networks

Publication Date

This paper delves into the critical aspect of demand forecasting within the broader context of optimizing drop trailer management in volatile networks, with a specific focus on a large pallet manufacturer’s supply chain operation. The study underscores the importance of accurate demand forecasting as a foundational element for informing subsequent optimization models.

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Report

Elucidating US Import Supply Chain Dynamics

Publication Date

To enhance understanding of congestion points at ports and provide visibility into the incoming goods flow into the USA, this study focuses on maritime ports, using the Port of Boston and New York/New Jersey as case studies. Based on the Automatic Information System (AIS) data, we aim to develop predictive models for port congestion status and the Estimated Time of Arrival (ETA) of container ships. Additionally, we analyze historical commodity flow data to forecast future values, weights, volumes and categories based on Harmonized System (HS) codes.

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Paper

Navigating retail inflation in Brazil: A machine learning and web scraping approach to the basic food basket

Publication Date
In response to the escalating challenges of global inflation, particularly in developing countries like Brazil, this study combines web scraping and machine learning to analyze inflation dynamics within the retail sector. By systematically real-time pricing and product data from a sponsor company and its four main competitors, we focus on...
CTL Globe
Thesis/Capstone

Accounting for Uncertainty: An Empirical Analysis of Truckload Budgeting

Publication Date
This study investigates the United States full truckload procurement process and persistent issue of budget overruns faced by shippers during their budgeting. Despite planning through Requests for Proposals (RFPs) that forecast shipping volumes and secure contractual rates with carriers, shippers regularly confront unplanned expenses surpassing their budgets. The key problems...
CTL Globe
Thesis/Capstone

Achieving Operational Excellence by Ensuring Optimization of Electric Vehicles vs. Internal Combustion Engines in Fleet Vehicles.

Publication Date
The detrimental effects of global warming are increasingly evident, necessitating urgent action to reduce Greenhouse Gas emissions. This alarming situation has called for the collective contributions of all actors, i.e. nations, firms, and individuals, to limit the annual warming to below 2 degrees Celsius. Our sponsor company, with a global...
CTL Globe
Thesis/Capstone

Beyond Revenue: Comprehensive Risk Management in Global Warehouse Networks

Publication Date
Recent global events, particularly the COVID-19 outbreak, highlighted vulnerabilities in supply chains and the need for resilience in maintaining essential services, emphasizing the requirement for a robust Business Continuity Management (BCM) Plan. The sponsor (A leading pharmaceutical company with a global presence) currently has a revenue-first approach to risk management...
CTL Globe
Thesis/Capstone

Cost to Serve

Publication Date
This project introduces a refined approach to cost allocation developed for our sponsor company, a manufacturer and commercializer of chemical solutions for the construction industry. Faced with the complexities of serving thousands of clients across North America, the company seeks to improve its volume-based allocation method to accurately identify profitable...
CTL Globe
Thesis/Capstone

Criticality of U.S. Food Supply Chains from Latin America

Publication Date
Food imports from Latin America via ocean transport are important for the U.S. food supply and economic growth. The resilience of the U.S. port network is fundamental in maintaining this supply. A disruption in one or more ports could compromise the network’s capacity to keep a smooth flow of perishable...
CTL Globe
Thesis/Capstone

Dealing with Supply Chain Complexities with Scenario Intelligence

Publication Date
The recent escalation in the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) world is adding unprecedented levels of complexity to businesses. Philip Morris International is no exception. Factors such as geopolitical conflicts, raw material shortages, rising inflation, and changes in country legislation are exerting pressure on PMI's supply chain. This pressure...
CTL Globe
Thesis/Capstone

Decoding Carrier Preferences in Digital Freight: A Predictive Machine Learning Analysis

Publication Date
The freight brokerage industry is at a pivotal juncture, with digital platforms reshaping market dynamics and carrier preferences. This capstone project, undertaken in partnership with Nolan Transportation Group (NTG), employs a predictive machine learning model to decode and understand these evolving preferences. The study leverages a dataset comprising nearly 2...
CTL Globe
Thesis/Capstone

Dell - Supply Chain Emissions Hotspot Analysis

Publication Date
In this capstone project, the complex relationship between Dell Technologies and its suppliers is examined, with a focus on how the suppliers’ supply chain impacts Dell's greenhouse gas (GHG) emissions. Facing the challenges of climate change, Dell is committed to achieving net-zero GHG emissions by 2050, with a significant focus...
CTL Globe
Thesis/Capstone

Demand Forecasting with Machine Learning

Publication Date
Our capstone project focuses on forecasting sales of the sponsor company's Heat-not-Burn (HNB) products. We estimate future sales of consumables and kits in Italy by looking at monthly data between 2015 and 2023. Sales of the products have a solid positive trend, and regardless of any other parameter, we observe...
CTL Globe
Thesis/Capstone

Early Assessment of Economic Viability in Cell and Gene Therapy via Alignment of Cost and Market

Publication Date
Cell and Gene Therapy (CGT) treatment require significant upfront R&D investments coupled with lower patient demand volumes compared to traditional blockbuster drugs while not benefiting from the economies of scale principles for cost reduction. Therefore, ensuring the economic viability of a CGT treatment is one of the most pivotal considerations...
CTL Globe
Thesis/Capstone

Elucidating US Import Supply Chain Dynamics: A Spatio-Temporal Graph Neural Network Approach

Publication Date
To enhance understanding of congestion points at ports and provide visibility into the incoming goods flow into the USA, this study focuses on maritime ports, using the Port of Boston and New York/New Jersey as case studies. Based on the Automatic Information System (AIS) data, we aim to develop predictive...
CTL Globe
Thesis/Capstone

Enhancing Efficiency in Cell & Gene Therapy Shipments: A Pathway to Scalability and Reliability

Publication Date
The logistics supporting life-saving Cell & Gene Therapy treatments, such as autologous CAR-T, face significant challenges due to strict constraints like time sensitivity, temperature control, and regulatory compliance. These constraints make the supply chain vulnerable to disruptions that could result in the loss or damage of these delicate, high-value therapies...
CTL Globe
Thesis/Capstone

Estimating On-Shelf Availability of CPG Products

Publication Date
Our sponsor (a multinational CPG company) faces the challenge of measuring On-Shelf Availability (OSA) for nanostores due a lack of inventory visibility at a store level. Nanostores, in emerging countries, are the channel that sells more than half of CPG products, performing a key role for these companies. Our sponsor...
CTL Globe
Thesis/Capstone

Exploring Supply Chain Co-location: Implications on Cost, Speed-to-Market, and Sustainability

Publication Date
In today’s competitive business environment, companies are increasingly seeking ways to optimize their supply chain networks to reduce costs, improve responsiveness, and enhance sustainability. This capstone project explores the potential of co-location strategies, specifically the Supplier Park Model, in addressing supply chain inefficiencies for ABC Corporation, a leading food and...
CTL Globe
Thesis/Capstone

Forecasting Drilling Bits Demand: A New Horizon for Oil & Gas Supply Chains

Publication Date
This capstone project streamlines the demand forecasting process for drilling bits in the oil and gas industry, crucial for optimizing supply chains and ensuring equipment availability. Focusing on a leading service provider, the study utilized causal and time-series modeling to predict bit runs and revenue for the next 4–6 quarters...
CTL Globe
Thesis/Capstone

Fresher Food Supply: Evaluating the impact of pick-to-zero strategy on freshness of produce using discrete event simulations

Publication Date
Consumers frequently reach behind supermarket shelves to find products with the latest expiration dates. This instinctive behavior highlights a universal desire for fresh produce. Therefore, our capstone sponsor is eager to consistently deliver fresh produce to maximize customer satisfaction. One innovative approach to increasing freshness is to minimize the duration...
CTL Globe
Thesis/Capstone

Impact of Downstream Supply Chain Dynamics on Patient Access to Oncology Medicines

Publication Date
Access to cancer medicines remains a significant challenge in many Low- and Middle-Income Countries (LMICs), limiting patients' ability to receive timely and affordable treatment. This study aims to analyze the impact of the pharmaceutical downstream supply chain on patient access to oncology medicines in LMICs. Utilizing a system dynamics approach...
CTL Globe
Thesis/Capstone

Impact of Exogenous Variables on AI/ML Forecasting Algorithm Prophet, in the FMCG Industry

Publication Date
As the field of artificial intelligence (AI) advances rapidly, its application within the supply chain arena has seen a significant surge. This capstone project focuses on Artificial Intelligence/Machine Learning (AI/ML) predictive algorithms applied in demand forecasting, a pivotal process for managerial decisions such as inventory control and production planning. The...
CTL Globe
Thesis/Capstone

Improving Nutrition Rankings for Food Banks

Publication Date
Food insecurity is a major issue for many Americans. Food banks and food pantries strive to provide enough food to satisfy the needs of people suffering from food insecurity. These organizations are also trying to distribute healthy food, not just meeting the caloric intake necessary to sustain the community. The...