Designing a sustainable vaccine supply chain by considering demand substitution and value-added function during a pandemic outbreak

Salari, Samira Al-sadat; Sazvar, Zeinab

doi:10.1016/j.cie.2023.109826

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Computers & Industrial Engineering

2024

DOI: 10.1016/j.cie.2023.109826

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Designing a sustainable vaccine supply chain by considering demand substitution and value-added function during a pandemic outbreak

Samira Al-sadat Salari,

Zeinab Sazvar

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2024

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An inventory-routing optimization model for pharmaceutical supply chain with time-dependent travel time on a multi-graph network: a case study

Baghdadi,

Dehghani,

Dehghani Sadrabadi

et al. 2024

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PurposeSpurred by the high turnover in the pharmaceutical industry, locating pharmacies inside urban areas along with the high product perishability in this industry, the pharmaceutical supply chain management has recently gained increasing attention. Accordingly, this paper unveils an inventory-routing problem for designing a pharmaceutical supply chain with perishable products and time-dependent travel time in an uncertain environment.Design/methodology/approachIn this study, mathematical programming is employed to formulate a multi-graph network affected by the traffic volume in order to adapt to real-world situations. Likewise, by transforming the travel speed function to the travel time function using a step-by-step algorithm, the first-in-first-out property is warranted. Moreover, the Box–Jenkins forecasting method is employed to diminish the demand uncertainty.FindingsAn appealing result is that the delivery horizon constraint in the under-study multi-graph network may eventuate in selecting a longer path. Our analysis also indicates that the customers located in the busy places in the city are not predominantly visited in the initial and last delivery horizon, which are the rush times. Moreover, it is concluded that integrating disruption management, routing planning and inventory management in the studied network leads to a reduction of costs in the long term.Originality/valueApplying the time-dependent travel time with a heterogeneous fleet of vehicles on the multi-graph network, considering perishability in the products for reducing inventory costs, considering multiple trips of transfer fleet, considering disruption impacts on supply chain components and utilizing the Box–Jenkins method to reduce uncertainty are the contributions of the present study.

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An inventory-routing optimization model for pharmaceutical supply chain with time-dependent travel time on a multi-graph network: a case study

Baghdadi,

Dehghani,

Dehghani Sadrabadi

et al. 2024

View full text Add to dashboard Cite

show abstract

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Designing a sustainable vaccine supply chain by considering demand substitution and value-added function during a pandemic outbreak

Cited by 1 publication

References 57 publications

An inventory-routing optimization model for pharmaceutical supply chain with time-dependent travel time on a multi-graph network: a case study

An inventory-routing optimization model for pharmaceutical supply chain with time-dependent travel time on a multi-graph network: a case study

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