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Ítem Modelo de benchmarking de la cadena de abastecimiento para Pymes manufactureras(Universidad Icesi, 2002-07-01) Burbano Collazos, Angélica; Beltrán Amador, AlfredoThe benchmarking model for the supply chain of small and medium-sized manufacturers provides a handy guide for improving the logistics of their production processes. This article covers both the development of the model and the main results of its implementation in a sample of food processing companies in the City of Cali, surveyed by PRODES (a sector development program). The results of this study, obtained through trial applications of the model, provide guidelines both for ongoing research and for the future application of the model to other sectors. The model is based on the results of a study titled «Proposal for the Development of Integrated Logistical Systems for Small and Medium Enterprises», undertaken by the authors in furtherance of a Master’s Degree in Business Administration, in agreement with Tulane UniversityÍtem Technology assessment for an inventory management process in a hospital unit(Institute of Industrial and Systems Engineers (IISE), 2009-05-01) Rardin, RonaldThe penetration of Auto Identification and Data Capture Technology (Auto ID DC) in healthcare logistics is low. A recent American Health Association ( AHA) study shows that 16% of hospitals use barcode technology for supply chain management purposes, and 3% use Radio Frequency Identification (RFID). Hospital materials managers find it difficult to evaluate the impact of Auto ID DC technologi es on current processes in or der to make a decision about whether or not to adopt a technological alternative. This paper studies the impact of Auto ID DC technologies on the inventory management process in a hospital unit. In particular we will refer to implantable devices within a catheterization lab. We propose a conceptual design of the system and a quantitative modeling approach to handle these issues, and present our preliminary results from a spreadsheet-based tool.Ítem A Novel GS1 Data Standard Adoption Roadmap for Healthcare Providers(IGI Global, 2011-01-01) Burbano Collazos, AngélicaThe use of GS1 Data Standards is envisioned to improve the efficiency of the healthcare supply chain as it did for the retail supply chain. The healthcare industry, especially providers, acknowledges their potentials; however, there are misconceptions and lack of understanding the associated costs and expected benefits. This study presents an adoption roadmap for GS1 Data Standards at the provider level in healthcare industry. The developed roadmap is a result of systematic efforts at conducting extensive studies, examining the best practices, and interacting with industry leaders. The adoption roadmap includes different levels and sublevels to provide a flexible foundation for healthcare providers where alternative adoption paths will be available for their immediate needs and requirements. Sublevels have a recommended precedence structure to realize maximum gains from the adoptions. The feasibility and practicality of the developed roadmap has been validated by two pilot studies, which were conducted in collaboration with two hospital provider partners. The pilot studies helped identify potential benefits as well as roadblocks and barriers for different levels of GS1 Data Standards adoption. The results indicate that the adoption is not an easy process and may require many workarounds; however, the potential gains are significant.Ítem A decision support tool for healthcare providers to evaluate readiness and impacts of adopting supply chain data standards(Taylor & Francis, 2013-03-01) Varghese, VijithHealthcare providers are under increasing pressure to reduce waste, eliminate unnecessary costs and redundant efforts, thereby improving the quality and consistency of healthcare delivery. Lack of automation and the lack of use of global identifiers for products and locations, also known as supply chain data standards, are two critical factors that can help streamline providers operations and improve process efficiency. Despite widespread consensus among various stakeholders, healthcare providers lack a well-defined approach towards adopting and implementing data standards. Supply chain data standards can be defined as a set of product and location identifiers which are used in supply chain related processes and transactions.