Article
Engineering, Industrial
Angie Nguyen, Samir Lamouri, Robert Pellerin, Simon Tamayo, Beranger Lekens
Summary: This article reviews the current state, opportunities, and challenges of data analytics in pharmaceutical supply chains, proposing a framework focused on challenges and data resources, providing examples of techniques, and identifying gaps and research perspectives in existing literature.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Operations Research & Management Science
Taab Ahmad Samad, Rohit Sharma, Kunal K. Ganguly, Samuel Fosso Wamba, Geetika Jain
Summary: This study identifies critical factors for implementing blockchain technology in the logistics sector and analyzes their hierarchical and causal relationships. Real-time connectivity and information flow are found to be the most influential factors, while traceability is the most prominent and resulting factor. The study contributes to decision-making in the logistics supply chain field by providing insight into why and how blockchain technology can be adopted, especially in emerging economies like India. Strategic recommendations for overcoming challenges faced by logistics supply chain organizations are also presented.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Arindam Garai, Biswajit Sarkar
Summary: This study aims to investigate the financial self-reliance of the reverse chain and proposes a closed-loop supply chain model linking herbal medicines and biofuels to address environmental concerns and improve customer satisfaction. By developing an optimized algorithm, the study seeks to achieve more desirable optimal values and emphasizes the upgrading of factory equipment and adjustments to regulations.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Management
Jian Li, Panos Kouvelis, Maqbool Dada
Summary: This article focuses on the development of agricultural supply chains in emerging economies, aiming to maximize the utilization of land and intermediate processing resources for export-oriented goods. The study examines the decisions made by farmers, intermediate processors, and government officials in the supply chains, and analyzes how the structure of the chains and government minimum guaranteed prices impact their performance. The research includes the development of models and algorithms to find equilibria based on different decision-making processes and yield uncertainty. The results show that appropriately setting minimum price guarantees can lead to optimal supply chain solutions, and that farmer cooperation and regional integration of processing assets can enhance efficiency in emerging economies.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Operations Research & Management Science
Alexandre Jacquillat
Summary: This paper proposes a novel passenger-centric optimization approach to Ground Delay Programs (GDPs), which aims to reduce passenger delays by balancing flight delays and passenger delays in large-scale networks. The results show that the approach is highly robust to imperfect knowledge of passenger itineraries and can provide significant benefits even in the current decentralized environment based on collaborative decision making.
TRANSPORTATION SCIENCE
(2022)
Article
Management
Lara Schilling, Stefan Seuring
Summary: This paper introduces a framework linking different conceptual elements to explain how ICT enables sustainable value creation in emerging economy supply chains. By applying ICT in BoP supply chain operations, the process of sustainable value creation is driven, leading to sustainable value for businesses and stakeholders.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2022)
Article
Mathematics
Xuecheng Tian, Ran Yan, Shuaian Wang, Yannick Liu, Lu Zhen
Summary: The development of IoT and online platforms allows for the collection of data from a larger spatial and temporal area in the logistics industry. This data presents new opportunities for handling uncertainty in optimization problems. Various prescriptive analytics frameworks have been developed to predict different aspects of uncertain optimization problems. This tutorial introduces state-of-the-art methods and proposes improvements for future research in the logistics system.
ELECTRONIC RESEARCH ARCHIVE
(2023)
Article
Food Science & Technology
Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Martin, Rajaram Kaliyaperumal, Johan van Soest, Ananya Choudhury, Jaap Heringa, Andre Dekker, Hans J. P. Marvin
Summary: Artificial Intelligence (AI) based algorithms, particularly data driven Bayesian Network (BN) models, are suitable for predicting future food fraud and enabling timely actions by food producers. However, data sharing is hindered due to various concerns, such as interests, security, and privacy. Federated learning (FL) technology can address these issues, allowing integration of data from different sources while ensuring data privacy and confidentiality. This research demonstrates the potential of FL for food fraud control and decision-making in the food supply chain.
NPJ SCIENCE OF FOOD
(2023)
Article
Management
Cerag Pince, Enver Yucesan, Prithveesha Govinda Bhaskara
Summary: This paper introduces an accurate response framework for commercial seed production by deploying the multiordering newsvendor model with dynamic forecast evolution, and demonstrates the challenges associated with applying the Martingale Model of Forecast Evolution (MMFE) to real data. The study finds that the MMFE-based accurate response can considerably increase the seed manufacturer's profits by categorizing the product portfolio and improving forecasting accuracy for critical products.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Business
Sanjay Bhattacharya, Arup Chatterjee
Summary: This research proposes an integrated framework to address multiple objectives in the AECO value chain and evaluate emerging themes of Fourth Industrial Revolution technologies. It relies on qualitative approaches and mixed methodologies, utilizing expert interviews and industry surveys to build theories and make recommendations.
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL
(2022)
Article
Business
Saradhi Motamarri, Shahriar Akter, Md Afnan Hossain, Yogesh K. Dwivedi
Summary: This study fills the gap by exploring the drivers of remote analytics empowerment capability (RAEC) and their holistic effects on customer linking and firm performance, providing a better understanding of the foundations of such capability in a remote working setting.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Mauro Vivaldini
Summary: This study systematically analyzes the application of blockchain platforms in the supply chain, finding that these platforms are relatively representative in solution development, with a wide range of applications and solutions. This contributes to managers' understanding of the various possibilities for Bc-SC.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2021)
Article
Management
Roberto Dominguez, Salvatore Cannella, Jose M. Framinan
Summary: The closed-loop dynamics of sustainable supply chains are crucial for their performance, and the decision of whether the remanufacturing process should be centralized or decentralized significantly impacts the supply chain's performance. While a centralized configuration can reduce uncertainty in reverse flows, it may also lead to higher uncertainty for upstream members. Therefore, in long supply chains, the decision should be made considering the trade-offs and taking into account information transparency levels.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Economics
Harrison Hampton, Aoife M. Foley, Dylan Furszyfer Del Rio, Benjamin Sovacool
Summary: Accelerating the net-zero carbon transition is crucial for future retail electricity markets. Adopting a customer-centric approach in market design is essential to fully harness smart grid technologies.
Review
Engineering, Environmental
G. A. Tennakoon, Raufdeen Rameezdeen, Nicholas Chileshe
Summary: This study investigates external integration in demolition waste reverse logistics supply chains through a systematic literature review, identifying barriers and potential measures for improvement. The findings have been developed into a conceptual framework to guide further empirical research and industry practice, with several future research directions proposed for expanding knowledge in the research domain.
WASTE MANAGEMENT & RESEARCH
(2022)
Article
Engineering, Industrial
Andres Munoz-Villamizar, Josue C. Velazquez-Martinez, Christopher Mejia-Argueta, Karla Gamez-Perez
Summary: The growth of e-commerce has led to an increase in home deliveries in retail operations, with the use of optimization models to reduce routing distance being a popular approach. Recently, understanding customer purchasing behavior has become important in improving supply chain effectiveness. Extending delivery time slots can lead to significant savings in total distance, costs, and fuel consumption or CO2 emissions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Environmental Sciences
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutierrez, Maham Saeidi, Awad M. Aljuaid, Mohammad Reza Davahli, Redha Taiar, Tadeusz Marek, Ben D. Sawyer
Summary: The study found that there was a significant increase in reported back pain complaints during the COVID-19 pandemic, potentially due to changes in lifestyle brought about by the pandemic, including restrictions in daily body movements and reduced exposure to routine physical exercise.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Review
Multidisciplinary Sciences
Edgar Gutierrez, Waldemar Karwowski, Krzysztof Fiok, Mohammad Reza Davahli, Tameika Liciaga, Tareq Ahram
Summary: Despite recent advancements in predicting human behaviors based on unstructured textual data, significant developments in data analytics systems for identification, determination of interrelationships, and prediction of human cognitive, emotional and social behaviors remain lacking.
Article
Management
Andrea Stefano Patrucco, Liliana Rivera, Christopher Mejia-Argueta, Yossi Sheffi
Summary: The study found that a broad professional network of relationships contributes to increasing the skills and competencies of SC professionals, which impact job satisfaction and SC performance. Investing in skilled human talent is valuable for knowledge acquisition, utilization, and SC competitiveness. Companies benefit from stronger SC outcomes by investing more in training their SC employees.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2022)
Article
Management
Jairo R. Montoya-Torres, Andres Munoz-Villamizar, Christopher Mejia-Argueta
Summary: This paper provides a comprehensive analysis of the impact of the COVID-19 outbreak on supply chains through a thorough review of peer-reviewed papers published in 2020. It establishes a framework based on recent literature to address major disruptions in supply chain management and highlights areas for further research and strategies to promote awareness among supply chain stakeholders.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Energy & Fuels
Bibi Ibrahim, Luis Rabelo, Edgar Gutierrez-Franco, Nicolas Clavijo-Buritica
Summary: A smart grid is the future vision of power systems, where digitalization is at the core. Short-term load forecasting plays an important role in supporting reliable power system transition, and the deep learning regression model shows the best performance.
Article
Green & Sustainable Science & Technology
David Ernesto Salinas-Navarro, Christopher Mejia-Argueta, Luis Montesinos, Ericka Z. Rodriguez-Calvo
Summary: This work examines sustainability-related learning experiences in the discipline of supply chain management in higher education. Through a case study, it demonstrates the application of an actionable framework in an undergraduate course, leading to positive learning outcomes. This work is significant for preparing future professionals and decision-makers.
Article
Green & Sustainable Science & Technology
David Hidalgo-Carvajal, Edgar Gutierrez-Franco, Christopher Mejia-Argueta, Helen Suntura-Escobar
Summary: Packaging plays a vital role in ensuring safe delivery, standardization, and serving as a selling tool along the supply chain. However, it also presents economic and environmental costs. This study investigates the impact of nanostores on the return of cardboard packaging and the willingness of shopkeepers to support a closed-loop supply chain system. The findings suggest that certain strategies can increase the returnability rate of packaging, and thicker cardboard packaging promotes reuse and recycling rates. Startups are advised to bridge the gap, while the government should develop supportive regulations.
Review
Chemistry, Multidisciplinary
Valeria Laynes-Fiascunari, Edgar Gutierrez-Franco, Luis Rabelo, Alfonso T. Sarmiento, Gene Lee
Summary: The proliferation of e-commerce has been driven by the convenience of online shopping and direct delivery. However, last-mile delivery logistics have become complex due to external factors and the need for traffic sensors in urban areas. This paper proposes a framework that combines social media analysis and traditional methods to accurately predict traffic for last-mile delivery logistics. The framework includes advanced deep learning techniques and experimentation to examine the interactions of traffic, social media, weather, and other factors.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutierrez-Franco, Mohammad Reza Davahli, Maciej Wilamowski, Tareq Ahram, Awad Al-Juaid, Jozef Zurada
Summary: Text classification methods have significantly improved in the last decade for text instances with less than 512 tokens, but handling longer texts comes with a high computational cost. Optimizing the attention mechanism can enhance classification performance for longer texts, while the "Text Guide" method improves performance by truncating the text.
Article
Green & Sustainable Science & Technology
Edgar Gutierrez-Franco, Andres Polo, Nicolas Clavijo-Buritica, Luis Rabelo
Summary: A multi-objective mixed-integer linear programming model was proposed to design a sustainable supply chain of biofuels from forest residues, aiming to achieve economic, environmental, and social benefits. The model's objectives include profit maximization, CO2 minimization, and employment generation maximization.
Article
Computer Science, Information Systems
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutierrez-Franco, Tameika Liciaga, Alessandro Belmonte, Rocco Capobianco, Maham Saeidi
Summary: Efficient leadership is crucial in organizations, with the military serving as a clear example. Maintaining and improving the quality of leadership among staff requires continuous training and practice. The study demonstrates that recent deep learning methods provide reasonable performance in predicting military leadership messages.