Viable medical waste chain network design by considering risk and robustness

Abstract

Medical waste management (MWM) is an important and necessary problem in the COVID-19 situation for treatment staff. When the number of infectious patients grows up, the amount of MWMs increases day by day. We present medical waste chain network design (MWCND) that contains health center (HC), waste segregation (WS), waste purchase contractor (WPC), and landfill. We propose to locate WS to decrease waste and recover them and send them to the WPC. Recovering medical waste like metal and plastic can help the environment and return to the production cycle. Therefore, we proposed a novel viable MWCND by a novel two-stage robust stochastic programming that considers resiliency (flexibility and network complexity) and sustainable (energy and environment) requirements. Therefore, we try to consider risks by conditional value at risk (CVaR) and improve robustness and agility to demand fluctuation and network. We utilize and solve it by GAMS CPLEX solver. The results show that by increasing the conservative coefficient, the confidence level of CVaR and waste recovery coefficient increases cost function and population risk. Moreover, increasing demand and scale of the problem makes to increase the cost function.

Evaluating Agile Practices in Green Supply Chain Management Using a Fuzzy Multicriteria Approach

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Medical Waste Treatment Technologies for Energy, Fuels, and Materials Production: A Review

“…Tirkolaee and Aydın [12] developed a sustainable MWM system for collection and transportation of MW in pandemics, they designed numerous various scales practical examples, solved the problem using CPLEX solver, and they compared diverse conditions. They also investigated the practical implications [13]. Moreover, He et al [14] optimized the problem of the automated MW sorting system by taking into account the operational flow of MW.…”

Stochastic production planning with regime switching

“…Their solution approach relies on the concept of value function and the later is characterized through a system of elliptic equations which is shown to have solutions. Among recent papers which contribute to the mathematical analysis of stochastic planning problem we mention [1], [3], [7], [21], [22] and [23].…”

“…For the scalar case corresponding to the system (20)-( 21) an exact solution is obtained in the work of [3]. Unfortunately, for the system case we can't give a closed form solution but we provide an approximating sequence of functions which converges to the solution of ( 20)- (21).…”

“…thus proving the uniqueness of solution for the problem ( 23)-( 24). An argument in the reference [18, Section 3] guarantee also the uniqueness of a classical solution of the system (20)- (21). Let us turn to the convexity of z 1 , z 2 .…”