Bibliographic Details
| Title: |
Digital transformation for a resilient pharmaceutical supply chain: A multi-criteria approach to prioritizing barriers. |
| Authors: |
Barua, Dixita, Garg, Jigyasa, Bhardwaj, Navya, Mehta, Vansh, Mehta, Mohak, Sharma, Rashi |
| Source: |
AIP Conference Proceedings; 2025, Vol. 3297 Issue 1, p1-6, 6p |
| Subject Terms: |
DIGITAL transformation, DIGITIZATION, PHARMACEUTICAL industry suppliers, THEORY of constraints, DATA security, INVENTORY control, MULTIPLE criteria decision making |
| Abstract: |
The pharmaceutical supply chain (PSC) is vital for the safety, efficacy, and availability of pharmaceuticals to patients worldwide. It involves the acquisition of raw materials, production of medications, and delivery to healthcare professionals, providing patients with life-saving drugs. Efficient inventory management maximizes inventory levels, minimizes stock shortages, and reduces costs. Digitization of the PSC enhances efficiency, transparency, and agility by incorporating digital technologies and data-driven operations. Digitalization enables efficient decision-making, immediate item tracking, and advanced analytics for demand prediction, leading to reduced costs, increased efficiency, and customer satisfaction. However, the implementation of digital inventory management in the pharmaceutical sector faces challenges such as reluctance to adopt new technologies and concerns about data security. To address these issues, a Multi-Criteria Decision Making (MCDM) tool is essential. This study aims to employ Total Interpretive Structural Modelling, a MCDM method, to identify and rank obstacles that hinder pharmaceutical companies from implementing digital inventory management. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |