A machine learning model with linear and quadratic regression for designing pharmaceutical supply chains with soft time windows and perishable products
Product perishability is an important problem in Pharmaceutical Supply Chains (PSC). Demand perishability and unpredictability add enormous complexity to successfully implementing efficient Pharmaceutical Supply Chain Network Design (PSCND). This study develops a mathematical model for the PSCND. Th...
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Published in | Decision analytics journal Vol. 9; p. 100325 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.12.2023
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Subjects | |
Online Access | Get full text |
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