Supply Chain Management Strategies and Methodologies

Jorge Luis García Alcaraz is a full-time researcher of the Department of Industrial Engineering at the Universidad Autónoma de Ciudad Juárez. He received an MSc in Industrial Engineering from the Instituto Tecnológico de Colima (Mexico), a Ph.D. in Industrial Engineering from Instituto Tecnológico de Ciudad Juárez (Mexico), a Ph.D. in Innovation in Product Engineering and Industrial Process from University of La Rioja (Spain) and a Postdoc in Manufacturing Process from University of La Rioja (Spain). His main research areas are the multicriteria decision-making and techniques applied to lean manufacturing, production processes, and supply chain modeling. He is a founding member of the Mexican Society of Operation Research and an active member of the Mexican Academy of Industrial Engineering. He is a national researcher recognized by the National Council of Science & Technology of Mexico (CONACYT) as Level II.

Diego Fernando Manotas Duque is a full-time professor and directorof the School of Industrial Engineering at Universidad del Valle. Cali - Colombia. He received an M.Sc. in Management Sciences from the Universidad de Chile and a Ph.D. in Electrical Engineering from Universidad del Valle. He holds a B.Sc. in Industrial Engineering from Universidad del Valle, in Cali, Colombia. His main research areas are supply chain finance, energy economics, and financial modeling. He leads the Quantitative Finance Research Group.  This research group has been recognized as A1, the highest rating in Colombia. He is currently leading several research projects related to supply chain modeling in the energy sector. He is a member of the International Association of Energy Economics. Currently, he is a Senior National Researcher recognized by the Ministry of Science, Technology and Innovation (MINCIENCIAS).

Rosa G. González-Ramírez is an associate professor at the Faculty of Engineering and Applied Sciences of the Universidad de Los Andes in Chile. She holds a bachelor's degree in industrial engineering from the Technologic Institute of Morelia in Mexico, a master's degree in industrial engineering from Arizona State University in the USA; a master's degree in quality systems and productivity, and a Ph.D. in engineering sciences from Monterrey Tech in Mexico. Her research areas are logistics and transport of cargo, maritime shipping and port operations, port governance, competitiveness and performance/efficiency, port gender equity, and inter-organizational information systems in ports. She also works in production planning, vehicle routing problems, and agricultural supply chains (harvesting and distribution) with a special focus on small producers. She has been working on several applied research projects with several ports in Chile to address different planning problems at container terminals for maritime operations, container handling at the yard, and truck coordination at the gate. She has also analyzed different aspects such as port competitiveness, port efficiency, and gender equity, as well as the identification of port disturbances during the COVID-19 pandemic. She teaches the courses of Operations Management and Logistics for undergraduate students.

Mario Gustavo Chong Chong is the professor and member of the Research Center (CUIP), at Universidad del Pacífico. He holds a Ph.D. in Business Management from Universidad Nacional Mayor de San Marcos, a Master's in Industrial Engineering, and a Master's in Systems Engineering, both from Universidad de Lima. He is an industrial engineer from Universidad de Lima. He has completed a certification in Supply Chain Management at the Massachusetts Institute of Technology (MIT). He has experience in developing research projects related to business strategy, supply chain, operations, global business, agribusiness, and rural associativity. He is the director of the Peruvian Association of Professionals in Logistics (APPROLOG). He is an international member of theSy

Part 1. Supply Chain Procurement.- Chapter 1. Supply Chain Strategies and Methodologies - A Bibliometric Review.- Chapter 2. Using Meta-Learning in Automatic Demand Forecast with Large Number of Products.- Chapter 3. Economic development and high-value supply chains.- Chapter 4. Artificial intelligence-based analysis of material supply costs in ETO companies shifting to mass customization.- Part II. Supply Chain in Production Process.- Chapter 5. Lean-Sigma as a strategy in supply chain management during the COVID-19 pandemic crisis- Lessons learned.- Chapter 6. Development of an expert system focused on improving the supply chain by increasing the availability of equipment.- Chapter 7. Leadership as a strategy for flexibility and resilience in the supply chain.- Part III. Supply chain distribution.- Chapter 8. Demand and inventory management for the creation of an automated information management system: A Case Study applied to an Ecuadorian supermarket.- Chapter 9. Analysis of failure modes and port disruptions in port terminal operations: A case study in the port area of Barranquilla, Colombia.