Master key tools for implementing value network collaboration, focusing on last-mile coordination, transportation, asset use, and information management.
Master key tools for implementing value network collaboration, focusing on last-mile coordination, transportation, asset use, and information management.
This comprehensive course explores essential tools and methodologies for implementing successful collaboration models in value networks. Participants will understand how business partners can align their objectives, processes, and technological tools to enhance information flow throughout the value network. The curriculum examines successful collaboration case studies from both international and national organizations that have implemented these methodologies in their logistics processes with significant benefits. Students will explore key collaboration scenarios including last-mile delivery, long-distance transportation, effective asset utilization, and information management across different organizational contexts. This practical approach helps participants understand a company's value network model and encourages its application. Through structured modules covering collaboration fundamentals, collaborative transportation, certified deliveries, collaboration index measurement, and collaborative forecasting, students will gain the knowledge and tools necessary to develop and implement successful collaborative strategies in their organizations, addressing common challenges and leveraging proven methodologies.
Instructors:
Spanish
What you'll learn
Learn fundamental elements for structuring a successful collaborative strategy in an organization
Implement effective methodologies for developing collaborative strategies across the value network
Explore practical case studies of successful collaboration with insights on challenges and recommendations
Understand collaborative transportation models, certified deliveries, and their implementation requirements
Master collaboration performance measurement using established indices and evaluation frameworks
Develop collaborative forecasting capabilities to improve planning across partner organizations
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Desktop, Mobile, Tablet
Subscription access
Shareable certificate
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 5 modules in this course
This course provides a comprehensive exploration of collaboration tools and methodologies within value networks. The curriculum begins with fundamental concepts for developing successful collaborative strategies, including collaboration tools, benefits, model pillars, and critical implementation phases. Students then delve into collaborative transportation, examining its importance, methodology, challenges, and practical applications. The third module focuses on certified deliveries, covering their significance, methodology, benefits, and implementation challenges. The fourth module addresses collaboration index measurement, introducing collaboration background theories, methodology, roadmaps, and collaboration scales for effective performance evaluation. The final module explores collaborative forecasting, describing its nature, implications, and proposed models for implementation. Throughout the course, practical case studies demonstrate how organizations have successfully implemented these collaborative approaches, providing students with both theoretical knowledge and applicable skills for enhancing value network collaboration in their professional environments.
Fundamentos para el desarrollo colaborativo
Module 1
Transporte colaborativo
Module 2
Entregas certificadas
Module 3
Medición del índice de colaboración
Module 4
Pronósticos colaborativos
Module 5
Fee Structure
Payment options
Financial Aid
Instructors

1 Course
Expert in Logistics and Project Management
Diana Carolina Anzola Meza is an accomplished logistics and production administrator from the Universidad del Rosario, certified in leadership and transformation from the Escuela de Liderazgo y Transformación (ELIT) and in SCRUM. As a leading consultant at LOGYCA, she has spearheaded sectoral projects focusing on collaboration and benchmarking within value networks, as well as certified deliveries, transportation, and change management initiatives across various industries, including mass consumption, healthcare, textiles, home goods, electronics, and hospitals. Diana also teaches project management methodologies in her degree program and has experience in marketing with Alpina, where she led brand strategies for snacks and desserts. Her contributions to logistics consulting include projects with LOGYCA and the Mederi Hospital, along with presentations at significant conferences on logistics and supply chain management.

1 Course
Supply Chain Innovation Leader and Lean Six Sigma Expert
Esteban Prieto has established himself as a logistics solutions expert with over 4 years of experience in implementing and optimizing supply chain processes. After earning his Industrial Engineering degree from Javeriana University and obtaining certifications as a Lean Six Sigma Black Belt and SCRUM practitioner, he has focused on developing collaborative logistics solutions across multiple sectors. At LOGYCA, he leads horizontal and vertical collaborative services in transport and logistics, working with industries including mass consumption, healthcare, transport, and HORECA (Hotel/Restaurant/Café). His expertise in Lean Six Sigma methodologies has enabled him to drive productivity improvements through strategic, tactical, and operational initiatives. As a collaborative services leader, he has successfully guided business groups in achieving productivity goals through systematic implementation of lean principles and agile methodologies. His work combines technical expertise in industrial engineering with practical application of modern logistics optimization techniques.
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Frequently asked questions
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