Combining the theory of constraints with system dynamics: A general model (case study of the subsidized milk industry)

Mohammadi, Hossein; Ghazanfari, Mehdi; Nozari, Hamed; Shafiezad, Omid

doi:10.1080/17509653.2014.920123

Cited by 9 publications

(5 citation statements)

References 28 publications

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“… Improving the quality of care: By changing the model of health services from cost-based care model to value-based models, data analysis becomes the main function of daily operations. Data analysis in this method can improve the performance and quality of care, reduce patient waiting time and increase their satisfaction, reduce readmission rate, reduce human error, provide personalized therapies and improve the overall patient experience (Mohammadi et al, 2015).  Population Health Management: Population health management has shifted health care services by focusing more on anticipation and prevention in public health rather than response and treatment.…”

Section: How Does Big Data Help the Healthcare Industry Grow And Deve...mentioning

confidence: 99%

Investigating the dimensions, components, and key indicators of the use of big data in the health industry

Nozari

Ghahremani-Nahr

2022

JDA

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Using big data analytics in healthcare has positive as well as life-saving results. Big data refers to the vast amounts of information generated by the digitization of everything that is synthesized and analyzed by specific technologies. Here Big Data uses health services to use specific health data of a population (or a specific individual) and potentially help prevent disease pandemics, treat diseases, reduce costs, and more. In the field of health, big data covers a wide range of information, including physiological, behavioral, molecular, clinical, medical imaging, disease management, medication history, nutrition, or exercise parameters. Big Data Analysis In the field of health, it is a complex process of examining big data to discover information. This information includes hidden patterns, market trends, unknown correlations, and customer preferences. Information analysis can help organizations make informed business and clinical decisions. The medical data-driven industry is the most complex among industries. Not only is this data available from a variety of sources, but it must also comply with government regulations. This process is difficult and delicate and requires some level of security and communication. Due to the importance of this issue, in this article, after introducing the types of data available in the health industry, the characteristics and sources of big data in health are defined and an analytical model for the use of large data in the health industry is presented. This model helps to understand the dimensions, components, and key elements of using big data in the health industry.

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Section: How Does Big Data Help the Healthcare Industry Grow And Deve...mentioning

confidence: 99%

Investigating the dimensions, components, and key indicators of the use of big data in the health industry

Nozari

Ghahremani-Nahr

2022

JDA

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“…The first step in the strategic planning process is to determine the mission, goals and missions of the organization, and then through SWOT analysis, which is one of the tools for strategy development, a strategy can be designed for the organization that is appropriate to its environment. Using this analysis, firstly analyze the internal and external environments and secondly make strategic decisions that balance the strengths of the organization with environmental opportunities (Mohammadi et al, 2015).…”

Section: Swot Analysismentioning

confidence: 99%

SWOT analysis in the General Organization of Labor, Cooperation and Social Welfare of East Azerbaijan Province with a scientific and technological approach

Gharachorloo¹,

Ghahremani-Nahr²,

Nozari³

2021

IJIE

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Since environmental threats threaten the life and survival of organizations from all sides, organizations must recognize their current position. Carefully analyze their strengths and weaknesses, seize environmental opportunities, and prepare for threats. This is possible in the form of strategic planning. Strategic planning is used as a framework for implementing strategic thinking and directing operations to achieve goals. Thus, the organization analyses the capability and environmental conditions and, based on it, determines the possible purposes and methods to achieve it. The Department of Cooperatives, Labor, and Social Welfare of East Azerbaijan Province plays a special role in providing services to various stakeholders and its role in economic, social, cultural development and increasing the welfare of society. Identify and evaluate this organization's strengths, weaknesses, opportunities, and threats to provide public value; it is one of the essential issues and requirements for achieving organizational goals. In this regard, using SWOT analysis and Bryson strategic planning model, internal and external factors in employment management and entrepreneurship have been identified, using interviews with managers and experts in the mentioned sector, relevant stakeholders, and questionnaire tools. In the next step, strategies related to each area were formulated as strategic issues and prioritized using internal factor matrix, external factor matrix, and QSPM evaluation methods.

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“…The data center allows access to and storage of information. This layer can be hardware and a platform in local data centers or services in the cloud (Mohammadi et al, 2015). The logistics industry plays a very important role in the supply chain.…”

Section: Introductionmentioning

confidence: 99%

Investigation of IoT applications in supply chain management with fuzzy hierarchical analysis

Kian

2022

JDA

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The IoT is currently growing rapidly and uses technologies such as smart barcode sensors, RFID, wireless communications, cloud computing, and more. The Internet of Things, in addition to being a revolutionary technology for all industries; has also demonstrated its potential in processes such as supply chain. Management, forecasting, and monitoring applications help managers improve the operational efficiency of their company distribution and increase transparency in their decisions. So more than ever, the benefits of using the Internet of Things are evident in the supply chain. The existence of comprehensive and valid information platforms is one of the requirements of supply chain management. Therefore, the most accurate use of integrated information devices such as Internet technology of objects in this part of the management of the organization is important. Coverage of this information accurately and in an instant facilitates matters and makes the process progress more transparent. To improve this process, cloud computing is used as a solution. In addition, other cloud computing capabilities can be used, such as facilitating object communication, integrating monitoring devices, and IoT storage, analyzing data, and paving the way for cyberspace to provide the customer with supply chain management. This requires a model that defines how Internet technology relates to objects, cloud computing, and supply chain management. The purpose of this study is to identify and prioritize IoT applications in the supply chain management sector with a multi-criteria decision-making approach. The results show that applications such as intelligent control and intelligent maintenance have the highest priorities.

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Combining the theory of constraints with system dynamics: A general model (case study of the subsidized milk industry)

Cited by 9 publications

References 28 publications

Investigating the dimensions, components, and key indicators of the use of big data in the health industry

Investigating the dimensions, components, and key indicators of the use of big data in the health industry

SWOT analysis in the General Organization of Labor, Cooperation and Social Welfare of East Azerbaijan Province with a scientific and technological approach

Investigation of IoT applications in supply chain management with fuzzy hierarchical analysis

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