Innovative Strategies in Lean Supply Chain Management: Enhancing Efficiency in Healthcare

Authors

  • Ginnel Quadras Department of Mechanical and Industrial Engineering, Manipal Institute of Techonology, Manipal Academy of Higher Education, Manipal, Karnataka, India 576104
  • Ali Talyshinskii Department of Urology, Astana Medical University, Astana, Kazakhstan 020000 https://orcid.org/0000-0002-3521-8937
  • Suhas Kowshik Department of Mechanical and Industrial Engineering, Manipal Institute of Techonology, Manipal Academy of Higher Education, Manipal, Karnataka, India 576104 https://orcid.org/0000-0001-7658-7387

Keywords:

Lean Supply Chain Management, Healthcare Efficiency, Resource Optimization, Data Analytics in Healthcare, Waste Reduction

Abstract

In the ever-evolving healthcare landscape, integrating Lean principles into supply chain management has emerged as a crucial strategy for enhancing efficiency and resource allocation. This paper explores recent advances in Lean Supply Chain Management (LSCM) within the healthcare sector and presents innovative strategies to optimize resource allocation. Synthesizing existing literature and case studies elucidates the principles of Lean thinking and their application to healthcare supply chains. Key topics addressed include waste reduction, process optimization, inventory management, and collaboration among stakeholders. Additionally, the role of technology and data analytics in streamlining supply chain operations is investigated. Furthermore, the paper delves into challenges and potential barriers to implementing LSCM in healthcare settings, along with recommendations for overcoming them. A comprehensive analysis of current trends and practices provides valuable insights for healthcare organizations seeking to enhance efficiency and effectiveness in their supply chain management practices.

Published

04-08-2024

How to Cite

[1]
G. Quadras, A. Talyshinskii, and S. Kowshik, “Innovative Strategies in Lean Supply Chain Management: Enhancing Efficiency in Healthcare”, J. Comput. Mech. Manag, vol. 3, no. 3, Aug. 2024.

Issue

Section

Mini Reviews

Categories

Received 2024-05-20
Accepted 2024-07-14
Published 2024-08-04

Most read articles by the same author(s)