Linear Programming (LP) is a well-known, powerful method to solve many problems in industrial and scientific applications. The objective of the present study is to propose the resolution of user LP problems by cloud computing, i.e., without the usual installation of computer programs for the purpose. We also compare our resolution with other peers’ approaches and on-line solvers, typical problems being addressed (transportation, transshipment, assignment, scheduling) applicable in numerous activities, including the pharmaceutical Supply Chains (SC). Thus, instead of providing software for the user to download and install, we offer a website where the user can insert his problems’ data and obtain their solutions. Some websites propose comparable solutions, but in little practical ways. The proposed style of action provides a practical and quick access to the advantages of cloud computing, which will encourage users and practitioners from pharmaceutical SC and many other related areas to delve further into the subject.
CITATION STYLE
Casquilho, M., de Miranda, J. L., & Barros, M. (2019). Linear Programming and Cloud Computing for Pharmaceutical Supply Chains. In Lecture Notes in Logistics (pp. 169–181). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-15398-4_12
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