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All Journal The Journal of Experimental Life Sciences (JELS) International Journal of Supply Chain Management
Agus Widodo
Brawijaya University
Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Medicine & Pharmacology Neuroscience Transportation

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Providing a Hybrid Methodology to Solve the Supplier Selection Problems: Application of MCDM Techniques Agus Widodo; Pinar Aytekin; Shahryar Ghorbani; Media Rahmawati
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.332 KB)

Abstract

The emphasis of supply chain management (SCM) is majorly on the relationship between enterprise alliance and core enterprise. One of the main decision-making problems in SCM is choosing strategic partners, which also is the key to a prosperous SCM. In the present study, SCM is investigated using the analytical hierarchy process (AHP) simulation approach o examine the uncertainty involved in AHP and reduce its risk to some extent. Finally, this approach is employed to solve the problem of supplier selection in SCM.
Optimal Control on Model of SARS Disease Spread with Vaccination and Treatment Ririt Andria Sari; Ummu Habibah; Agus Widodo
The Journal of Experimental Life Science Vol. 7 No. 2 (2017)
Publisher : Postgraduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1178.252 KB) | DOI: 10.21776/ub.jels.2017.007.02.01

Abstract

The spread of SARS (Severe Acute Respiratory Syndrome) disease in a human population is one of the phenomena that can be mathematically modeled. The exposed period of SARS disease underlies the formation of the SVEIR epidemic model which is a modification of the SVIR epidemic model by adding subpopulation E (exposed). In the SVEIR model, there are two control variables in the form of vaccination and treatment which aimed to minimize exposed subpopulation, infected subpopulation, and control implementation cost. The Pontryagin’s minimum principle is used to obtain optimal control and system, thus minimizing objective functional as the objective to be achieved. Furthermore, the forward-backward sweep method is used for numerical simulation in order to determine the most appropriate control strategy in a finite time. The simulation results show that implementation of both vaccination and treatment is the most effective decision making to control the spread of SARS disease.Keywords: optimal control, Pontryagin’s minimum principle, SARS.
Co-Authors Media Rahmawati Pinar Aytekin Ririt Andria Sari Shahryar Ghorbani Ummu Habibah