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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Bibliographic Details
Published inDecision analytics journal Vol. 9; p. 100325
Main Authors Rekabi, Shabnam, Sazvar, Zeinab, Goodarzian, Fariba
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.12.2023
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