List of articles (by subject) Supply chain management and logistics

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  1 - A Robust Optimization Approach for the Hub Arc Location Problem
  Marjan Gharavipour Mohsen Sheikh Sajadieh Matineh Ziari
  Hub networks play a crucial role in optimizing transportation flow and reducing overall costs by efficiently connecting origins and destinations through strategically placed hub nodes. The decision of hub location carries significant long-term implications and necessita More

  Hub networks play a crucial role in optimizing transportation flow and reducing overall costs by efficiently connecting origins and destinations through strategically placed hub nodes. The decision of hub location carries significant long-term implications and necessitates consideration of various factors within an uncertain environment. This paper addresses the hub arc location problem in hub networks, considering setup costs, isolated hubs, and uncertain flows between nodes. To tackle this challenge, a two-stage stochastic programming model is formulated to incorporate the uncertainty in flow volumes. Additionally, a robust optimization approach is proposed to enhance the resilience of hub location decisions against uncertain scenarios. The problem is solved using a tailored Genetic algorithm, which achieves optimal solutions with high quality and reasonable computational time. The results demonstrate the effectiveness of the proposed methodology in handling the uncertain nature of the hub location problem, contributing to the advancement of transportation planning and logistics optimization. The findings provide valuable insights for practical applications in real-world scenarios, offering a framework for decision-makers to make informed choices regarding hub network design and location. By integrating uncertainty and robust optimization techniques, this paper offers a comprehensive approach to address complex transportation network problems and improve overall efficiency in transportation systems. Manuscript profile
• Open Access Article
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  2 - A Dynamics Approach for Maturity Assessment of Hospital Supply Chain Management
  MARLA SETIAWATI TOGAR MANGIHUT SIMATUPANG LIANE OKDINAWATI
  Maturity Assessment strives for continuous improvement in hospitals. Maturity assessment serves as one of valuable tools for hospitals to diagnose problems within their supply chain management processes and implement targeted solutions to improve overall performance and More

  Maturity Assessment strives for continuous improvement in hospitals. Maturity assessment serves as one of valuable tools for hospitals to diagnose problems within their supply chain management processes and implement targeted solutions to improve overall performance and address challenges effectively and efficiently. Customer satisfaction, inventory management, technology and collaboration are the main problem that needs to be addressed in hospitals. This study aims to understand better the components of various variables in maturity assessment consisting of people, processes, technology, and partners of hospital supply chain management. Hospital Supply Chain Management (HSCM) is a supply chain management that focuses on reducing hospital costs while improving hospital services. This study utilizes qualitative data analysis using content analysis on semi-structured interview transcripts. The variables identified are modelled causal loop diagrams to provide and illustrate the interrelationship of the decision factors. Furthermore, the study found 27 decision factors from the interviews and then modelled them in the causal loop diagram. It showed four dominant factors influencing the maturity assessment in Hospital Supply Chain Management. Those are the number of trainings in the people area, the number of patients in the process area, supply chain integration in the technology area, and inventory management in the partner area. Manuscript profile