Towards facing uncertainties in biofuel supply chain networks: a systematic literature review.

Biofuel supply chains (BSCs) face diverse uncertainties that pose serious challenges. This has led to an expanding body of research focused on studying these challenges. Hence, there is a growing need for a comprehensive review that summarizes the current studies, identifies their limitations, and provides essential advancements to support scholars in the field. To overcome these limitations, this research aims to provide insights into managing uncertainties in BSCs. The review utilizes the Systematic Reviews and Meta-Analyses (PRISMA) method, identifying 205 papers for analysis. This study encompasses three key tasks: first, it analyses the general information of the shortlisted papers. Second, it discusses existing methodologies and their limitations in addressing uncertainties. Lastly, it identifies critical research gaps and potential future directions. One notable gap involves the underutilization of machine learning techniques, which show potential for risk identification, resilient planning, demand prediction, and parameter estimations in BSCs but have received limited attention. Another area for investigation is the potential of agent-based simulation, which can contribute to analysing resilient policies, evaluating resilience, predicting parameters, and assessing the impact of emerging technologies on BSC resilience in the twenty-first century. Additionally, the study identifies the omission of various realistic assumptions, such as backward flow, lateral transshipments, and ripple effects in BSC. This study highlights the complexity of managing uncertainties in BSCs and emphasizes the need for further research and attention. It contributes to policymakers' understanding of uncertain sources and suitable approaches while inspiring researchers to address limitations and generate breakthrough ideas in managing BSC uncertainties.

Maximizing projects' profitability, environmental score, and quality: a multi-project scheduling and material ordering problem.

The proper trade-off between various project costs is often disregarded when planning projects. This leads to several detrimental effects, such as inaccurate planning and higher total cost, far more significant in a multi-project environment. To overcome this limitation, this study proposes a combined approach for the multi-project scheduling and material ordering problem (MPSMOP), which maintains the proper trade-off among various costs. Moreover, the environmental impact and project quality objectives are optimized alongside the economic criterion. The proposed methodology involves three stages: (a) quantifying the environmental performance of suppliers; (b) measuring the activities' quality through the Construction Quality Assessment System approach; and (c) building and solving the mathematical model of the MPSMOP. The MPSMOP is modeled as a tri-objective optimization approach aiming to determine project scheduling and material ordering decisions so that the net present value, environmental score, and total quality of implemented projects are maximized simultaneously. As the proposed model comes into the nondeterministic polynomial optimization problem category, two powerful metaheuristics are customized and used to solve the problem. The efficiency of both algorithms was assessed on several datasets. The proposed framework is applied to railway construction projects in Iran as a case study, which presents the validity of the model and the decision-making options provided to managers.

Reasons for informal payments from the perspective of health care providers and recipients: a qualitative study in Iran.

BACKGROUND: Informal payments are one of the major obstacles to health system reform in many developing countries, and its elimination is on the agenda of health system policymakers in many countries, including Iran. This study was conducted to identify the causes of informal payments in the Iranian health system. METHODS: This was a qualitative and exploratory study. The study environment included the Ministry of Health, physicians' offices, medical universities, and hospitals and health centers. The study population included health care providers (physicians and hospital staff, managers, supervisors, and nurses) and health care recipients (patients or patients who had a history of dealing with informal payments). Data were collected using open-ended questions and semi-structured interviews. Snowball sampling method was used to select managers, chief executive officers (CEOs) and nurses. Convenience sampling was used to select physicians due to their lack of participation and cooperation. Content analysis method was used to analyze the data. RESULTS: Reasons for informal payments were divided into 4 themes including: Economic factors (improper tariff valuation of services; failure to increase tariffs proportionate to inflation; lack of comprehensive participation of stakeholders in determining tariffs; tariff inconsistency in the public, private and charity sectors; etc.); socio-cultural factors (decreased social capital of the medical community among the people; improving the quality of life; incorrect comparison of providers' income levels with the income of doctors in other countries; existence of a culture of gratitude and appreciation; health as a priority for society; pride of service recipients; pride of service providers; etc.); service delivery challenges (high professional skills of the doctor; use of modern medical equipment; the monopoly of some doctors, etc.) and legal-political factors (inadequate monitoring by upstream organizations; lack of strict rules; difficulty of proving informal payments; presence of stakeholders in management and policy making processes). CONCLUSIONS: Knowing the causes of informal payments can help reduce or eliminate it. The results of this study identified the causes of informal payments in the Iranian health system. Accurate knowledge of the needs and motivations of both health care providers and recipients can be effective in accurately identifying and eliminating this phenomenon.

Trauma Registry Data as a Policy-Making Tool: A Systematic Review on the Research Dimensions.

Objective: To review the research dimensions of trauma registry data on health policy making. Methods: PubMed and EMBASE were searched until July 2020. Keywords were used on the search process included Trauma, Injury, Registry and Research, which were searched by using appropriate search strategies. The included articles had to: 1. be extracted from data related to trauma registries; 2- be written in English; 3- define a time period and a patient population; 4- preferably have more details and policy recommendations; and 5- preferably have a discussion on how to improve diagnosis and treatment. The results obtained from the included studies were qualitatively analyzed using thematic synthesis and comparative tables. Results: In the primary round of search, 19559 studies were retrieved. According to PRISMA statement and also performing quality appraisal process, 30 studies were included in the final phase of analysis. In the final papers' synthesis, 14 main research domains were extracted and classified in terms of the policy implication and research priority. The domains with the highest frequency were "The relationship between trauma registry data and hospital care protocols for trauma patients" and "The causes of Disability Adjusted Life Years (DALYs) due to trauma". Conclusion: Using trauma registry data as a tool for policy-making could be helpful in several ways, namely increasing the quality of patient care, preventing injuries and decreasing their number, figuring out the details of socioeconomic status effects, and improving the quality of researches in practical ways. Also, follow-up of patients after trauma surgery as one of the positive effects of the trauma registry can be the focus of attention of policy-making bodies.

Hospitals' readiness to implement clinical governance.

BACKGROUND: Quality of health services is one of the most important factors for delivery of these services. Regarding the importance and vital role of quality in the health sector, a concept known as "Clinical Governance" (CG) has been introduced into the health area which aims to enhance quality of health services. Thus, this study aimed to assess private and public hospitals' readiness to implement CG in Iran. METHODS: This descriptive and cross-sectional study was carried out in 2012. Four hundred thirty participants including doctors, nurses, diagnostic departments personnel, and support staff were chosen randomly from four hospitals (equally divided into private and public hospitals). Clinical Governance Climate Questionnaire (CGCQ) was used for data collection. Finally, data were entered into the SPSS 18 and were analyzed using statistical methods. RESULTS: Among the CG dimensions, "organizational learning" and "planned and integrated quality improvement program" scored the highest and the lowest respectively for both types of hospitals. Hospitals demonstrated the worst condition with regard to the latter dimension. Furthermore, both types of hospitals had positive picture regarding "training and development opportunities". Private hospitals scored better than public ones in all dimensions but there was only a significant difference in "proactive risk management" dimension between both types of hospitals (P< 0.05). CONCLUSION: Hospitals' readiness for CG implementation was "average or weak". In order to implement CG successfully, it is essential to have a quality-centered culture, a culture specified by less paperwork, more self-sufficiency, and flexibility in hospitals' affairs as well as centring on shared vision and goals with an emphasis on continuous improvement and innovation.