Impact of Lean Tools in the Supply Chain: Pharmaceutical Industry Perspective
View/ Open
Tesis
(application/pdf: 432.6Kb)
(application/pdf: 432.6Kb)
Autorización
(application/pdf: 310.7Kb)
(application/pdf: 310.7Kb)
Reporte de similitud
(application/pdf: 2.063Mb)
(application/pdf: 2.063Mb)
Date
2023Advisor(s)
Metadata
Show full item recordAbstract
The aim of this paper is to identify the impact of the application of lean tools in the pharmaceutical supply chain (PSC) through a literature review. Supply chain inefficiencies before and during the COVID 19 pandemic, most applied tools, and lean improvements found in the PSC are identified. Databases such as Scopus and Proquest were used to collect the peer-reviewed articles to be studied. Results show the most frequent inefficiencies in the supply chain are found in operating costs, scrap rates, delivery times, and drug shortages. The improvements identified can be summarized in three factors: cost reduction, time reduction, and improvement in the management of activities. The most studied tools are Kaizen, Kanban, Total Quality Management (TQM), and Value Stream Mapping (VSM). Literature reveals that lean tools have a significant impact on quality improvement of information, products and/or services, as well as on the reduction or elimination of activities that do not generate value; in addition, there is little evidence of reduction of unnecessary movements of workers. The value of this paper addresses the impact of the pandemic on PSC, describing the versatility that each of the tools had in their role to reduce lean wastes. The versatility allows to identify which tool may be available according to the need of the practitioner.
How to cite
Aguirre Manrique, S. H. & Wong Lam, V. C. (2023). Impact of Lean Tools in the Supply Chain: Pharmaceutical Industry Perspective [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/19013Publisher
Universidad de LimaCategory / Subcategory
Ingeniería industrial / Producción y logísticaSubject
Collections
- Tesis [887]
The following license files are associated with this item: