| Description |
1 online resource (xi, 313 pages) : illustrations. |
|
text file |
| Series |
Applications of management science,
0276-8976
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Applications of management science.
|
| Contents |
A two-stage DEA approach with feedback for team performance evaluation / Yong Zha, Xixiang Ding, Liang Liang, Zhimin Huang -- Efficiency in public higher education systems : a statewide comparison using data envelopment analysis / Daniel G. Shimshak, Janet M. Wagner -- Benchmarking the operating efficiency of US airlines / Rashmi Malhotra -- A DEA-based multidimensional framework for analyzing Indian commercial banks / Rashmi Malhotra, Raymond R. Poteau, D.K. Malhotra -- Cooperative public service advertising strategies for a supply chain system / Yi He, Qinglong Gou, Liang Liang, Zhimin Huang, Rakesh Gupta -- Optimal management of reverse supply chains with sensor-embedded end-of-life products / Onder Ondemir, Surendra M. Gupta -- Process quality management and multiple response design models for the manufacture of semiconductors / John F. Kros -- Optimal selection of contracts for supply chain coordination under decision hierarchy / Chanaka Edirisinghe, Bogdan Bichescu, Xinjie Shi -- Multi-criteria performance measurement for public and private sector enterprises / Patrick T. Hester, Thomas J. Meyers -- Two-dimensional warranty policies : decision making under multiple objectives / Amitava Mitra, Jayprakash G. Patankar -- A multiple criteria model to creating teams / Ronald K. Klimberg, George P. Sillup, Kevin Boyle, Ira Yermish -- An evaluation of country risk in assessing direct foreign investment / Karen M. Hogan, Amy F. Lipton, Gerard T. Olson -- Conditional value-at-risk vs. value-at-risk to multi-objective portfolio optimization / Bartosz T. Sawik -- A meta-goal programming model for asset allocation of mutual funds under the mean absolute deviation / Kenneth D. Lawrence, Dinesh R. Pai, Sheila M. Lawrence. |
| Summary |
Applications of Management Science is a blind refereed series, published annually. It presents state-of-the-art studies in the application of management science to solve significant managerial decision-making problems. Volume 15 examines management science application to data envelopment analysis and efficiency, supply chain and quality applications, and multi-criteria and financial applications. Section A focuses on DEA to team performance, public higher education systems, US airlines and Indian commercial banks. Section B focuses on cooperative public service advertising, supply chain strategies, optimal management of reverse supply chain and optimal response to multi-response models. Section C explores multi-criteria measures of public and private enterprises, two-dimensional warranty policy decision making, and creating teams. Section D focuses on financial applications, direct foreign investments, conditional values of risk in portfolio models, and asset allocations of mutual funds. This volume will be most valuable to practitioners and researchers interested in productivity analysis, supply chain systems, multi-criteria applications and financial applications. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Business logistics -- Decision making.
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Business logistics -- Decision making. |
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Business logistics. |
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Multiple criteria decision making.
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Multiple criteria decision making. |
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Business enterprises -- Finance -- Decision making.
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Business enterprises -- Finance -- Decision making. |
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Business enterprises -- Finance. |
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Data envelopment analysis.
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Data envelopment analysis. |
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Business & management. |
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Management & management techniques. |
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Business & Economics -- Management. |
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Business & Economics -- Management Science. |
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Business & Economics -- Finance. |
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BUSINESS & ECONOMICS -- Decision-Making & Problem Solving. |
| Genre/Form |
Electronic books.
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Electronic books.
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| Added Author |
Lawrence, Kenneth D.
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Kleinman, Gary.
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| Other Form: |
Print version: 9781780521008 |
| ISBN |
9781780521015 (electronic book) |
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1780521014 (electronic book) |
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9781780521008 |
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1780521006 |
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