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  • 1
    UID:
    gbv_1903244234
    ISBN: 9781838670023
    Inhalt: Supply chain is an important aspect for all the companies and can affect many aspects of companies. Especially the disruption in supply chain is causing huge impacts and consequences that are difficult to deal with. This chapter presents a review of selected multiple criteria problems used in supply chain optimization. Research analyzed the multiple criteria decision-making methods to tackle the problem of supplier evaluation and selection. It also focuses on the problem of supply chain when a disruption happens and presents strategies to deal with the issue of disruptions in supply chain and how to mitigate the impact of disruptions. Prevention, response, protection, and recovery strategies are explained. Practical part is focused in the risk-averse models to minimize expected worst-case scenario by single sourcing. Computational experiments for practical examples have been solved using CPLEX solver.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 31-58, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:31-58
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    UID:
    gbv_1903244218
    ISBN: 9781838670023
    Inhalt: This chapter proposes a multiobjective model to design a Closed Loop Supply Chain (CLSC) network. The first objective is to minimize the total cost of the network, while the second objective is to minimize the carbon emission resulting from production, transportation, and disposal processes using carbon cap and carbon tax regularity policies. In the third objective, we maximize the service level of retailers by using maximum covering location as a measure of service level. To model the proposed problem, a physical programming approach is developed. This work contributes to the literature in designing an optimum CLSC network considering the service level objective and product substitution.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 71-96, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:71-96
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    UID:
    gbv_1903244188
    ISBN: 9781838670023
    Inhalt: The economic crisis has its roots in the financial services industry, but it certainly impacted the higher education in a way that has far-reaching implications for the colleges and universities in the United States. With unemployment rates of 8% and above, it made it difficult for families to send their kids to colleges and as a result colleges faced decline in enrollments and pressure to cut costs. Discount rates at almost all universities with an average size of 8,000 or less went up significantly. Academic departments at various universities came under pressure to get leaner and perform better with fewer resources. In this study, we benchmark the financial performance of public universities and private universities against each other as well as against themselves over the years by using data envelopment analysis model. The study also compares universities, public and private, with less than 3,000 students and more than 3,000 students against each other as well as over a period of time. The study is important as it will help university policy makers identify their strengths and weaknesses so that they can capitalize on their strong academic programs and make changes to fix weaker academic programs.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 143-156, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:143-156
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 4
    UID:
    gbv_190324417X
    ISBN: 9781838670023
    Inhalt: This chapter develops a productivity analysis of the US consumer drug store business using data envelopment analysis. This study concerns itself with five major US consumer drug chains. The output variables used are profit, total revenue, and prescription revenues. The input variables are number of pharmacists, number of drug store assets, and capital equity.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 157-161, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:157-161
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    UID:
    gbv_1903244161
    ISBN: 9781838670023
    Inhalt: In this chapter, the concepts of technical efficiency, efficiency, effectiveness, and productivity are illustrated. It is discussed that when firms are not homogeneous, the situation is the same as when each factor has a different unit of measurement from one firm to another, and therefore, no meaningful discrimination can be expressed, unless a set of known weights are introduced to standardize data. A linear programming data envelopment analysis model is used when a set of known weights are given to calculate the technical efficiency and efficiency of a set of homogeneous DMUs with multiple input factors and output factors. A numerical example is also provided.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 165-185, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:165-185
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 6
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    UID:
    gbv_1903244137
    ISBN: 9781838670023
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 233-237, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:233-237
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 7
    UID:
    gbv_1903244129
    ISBN: 9781838670023
    Inhalt: The conceptual foundations, principles, and mechanisms of territorial branding concerning the prospects of rural development in the Third World countries are the subject of the study. The systematization and study of the problems and experiences of territorial branding as a technology of development and overcoming of poverty in the agrarian society of Ukraine is the purpose of the paper. The socioeconomic condition of the modern agrarian society of Ukraine is analyzed with explaining the nature and extent of poverty in rural areas. The basis of the research was the thesis on the expediency of social stratification, including explanation of the causes of poverty by the criterion of economic behavior of individual groups of agents. The data obtained are available in adjusting further agrarian reforms, especially regarding its social orientation, where it should be involved: sociological stratification of groups of agents of each community to identify and stimulate an economically active society, analysis of the causes of the spread and nature of poverty in this rural area, determination of domestic sources of economic growth for local economy, and the implementation of these factors in the process of modernizing of economic relations. The main method of research was the study of the unique experience of individual rural communities. The methodology of the study foresaw the study of the prospects of rural development of the post-industrial type through the determining role of the factor of territorial branding. Monitoring the potential of territorial branding for rural areas of Ukraine using SWOT analysis has shown the uniqueness of risks, limitations, and prospects. It has been established that the conditions of neutralization of weaknesses and risks are in the combination of economic (primarily investment) and cultural and political initiatives, where a significant role belongs to the effects of community self-organization. At the same time, the prospects are due to the presence of unique institutional assets, natural, climatic and economic conditions, and possible perception of the idea of the rural population as such, which does not contradict the basic cultural values. The emphasis is placed on the fact that the realization of rural development in Ukraine as a national policy should take into account that Ukrainian rural communities remain “difficult,” mostly depressed economies, where the level of economic activity is traditionally low and unemployment is high. At the same time, studying the experience of the effectiveness of territorial branding allowed to generalize and classify the factors of brand-forming content for the rural areas of Ukraine, which became (1) a unique institutional history; (2) landscape and recreational potential; (3) special economic behavior of local inhabitants; (4) investment attractiveness of the territory; (5) unique economic specialization of the territory; (6) tourism activity; and (7) the role of local government. Significant socioeconomic effect of these examples is fixed. The area of application of these results is, first of all, the activity of local authorities of rural communities, nongovernmental organizations, and universities, as well as regulatory policy in terms of decentralization.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 97-114, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:97-114
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 8
    UID:
    gbv_1903244153
    ISBN: 9781838670023
    Inhalt: Estimating the production function is one of the most interest topics in economics, managements, and operations research. Often the number of decision-making units (DMUs) is not sufficiently large in comparison with the numbers of inputs and outputs. In this case, the available methodologies suffer to distinguish between DMUs and to provide a fair estimation of the production function. In the literature, studies usually suggest that researchers should either decrease the number of input-output variables or increase the number of DMUs. We demonstrate the reasons for such suggestions and provide a geometric visualization to address this issue. A simple but powerful model is introduced which is able to estimate a production function when the number of DMUs are small. A real-life numerical example of 32 DMUs with 45 variables is also used to demonstrate the advantages of the introduced model. From such an approach, researchers can benchmark organizations even if the number of DMUs is less than the number of input-output variables.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 187-205, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:187-205
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 9
    UID:
    gbv_1903244145
    ISBN: 9781838670023
    Inhalt: When comparing and evaluating performance, decision-makers are concerned with providing a range of effective, efficient, and fair measures that can yield representative relative rankings for the units being evaluated. In this chapter, we apply three multicriteria benchmarking modeling techniques – weighted linear combination, data envelopment analysis (DEA), and ordered weighted average (OWA) – to an example dataset to provide a quantitative assessment of performance. Evaluation of the results demonstrates that each of these techniques has relative strengths and shortcomings. To take advantage of the relative strengths, and avoid some of the shortcomings that we observed, we develop and assess a promising new methodological approach, the order rated effectiveness (ORE) model. ORE uses the OWA unit ratings within a DEA optimization framework to provide an overall relative performance assessment.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 207-232, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:207-232
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 10
    UID:
    gbv_1903244226
    ISBN: 9781838670023
    Inhalt: Traditionally, loan officers use different credit scoring models to complement judgmental methods to classify consumer loan applications. This study explores the use of decision trees, AdaBoost, and support vector machines (SVMs) to identify potential bad loans. Our results show that AdaBoost does provide an improvement over simple decision trees as well as SVM models in predicting good credit clients and bad credit clients. To cross-validate our results, we use k-fold classification methodology.
    In: Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 59-69, 9781838670023
    In: Emerald Publishing Limited
    In: year:2020
    In: pages:59-69
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
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