COVID19 epidemic outbreak: operating rooms scheduling, specialty teams timetabling and emergency patients' assignment using the robust optimization approach.

The health care system is characterized by limited resources, including the physical facilities as well as skilled human resources. Due to the extensive fixed cost of medical facilities and the high specialization required by the medical staff, the problem of resource scarcity in a health care supply chain is much more acute than in other industries. In the pandemic of the Coronavirus, where medical services are the most important services in communities, and protective and preventive guidelines impose new restrictions on the system, the issue of resource allocation will be more complicated and significantly affect the efficiency of health care systems. In this paper, the problem of activating the operating rooms in hospitals, assigning active operating rooms to the COVID-19 and non-COVID-19 patients, assigning specialty teams to the operating rooms and assigning the elective and emergency patients to the specialty teams, and scheduling their operations is studied by considering the new constraints of protective and preventive guidelines of the Coronavirus. To address these issues, a mixed-integer mathematical programming model is proposed. Moreover, to consider the uncertainty in the surgery duration of elective and emergency patients, the stochastic robust optimization approach is utilized. The proposed model is applied for the planning of operating rooms in the cardiovascular department of a hospital in Iran, and the results highlight the role of proper management in supplying sufficient medical resources effectively to respond to patients and scheduled surgical team to overcome the pressure on hospital resources and medical staff results from pandemic conditions.

Sustainability performance evaluation of the E-waste closed-loop supply chain with the SCOR model.

From a sustainability perspective, the performance of a company's supply chain will be satisfactory when it has reached in all aspects a desirable eco-environmentally friendly level. Assessing the sustainability performance in the closed-loop e-waste supply chain becomes vital because its activities are primarily targeted towards sustainability goals related to the process of production, supply, recycling, and disposal of electrical components. This study evaluates the performance of e-waste supply chain sustainability and identifies its performance indicators as a framework for evaluating supply chain performance using the Best-Worst Method (BWM), which is a multi-criteria decision-making (MCDM) approach. For this, the supply chain operations reference (SCOR) model is considered the basic performance evaluation reference. Moreover, through reviewing the literature, the complementary indicators of this model, especially in terms of sustainability, are added to the performance evaluation indices using the Nominal Group Technique (NGT). After specifying and forming a performance evaluation hierarchy, the BWM method is used to determine the criteria score. The results of implementing the framework on some well-known supply chains in New Zealand indicate that the attributes of "Costs," "Quality," and "GreenScor" are crucial for achieving high performance, while in this developed country, there is less concern about social issues.