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Titlebook: Enterprise Risk Management Models; Focus on Sustainabil David L. Olson,Desheng Wu Textbook 2023Latest edition Springer-Verlag GmbH Germany,

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11#
發(fā)表于 2025-3-23 11:17:51 | 只看該作者
Zustandsgleichungen Idealer Gase,Balanced scorecards are tools to monitor the relative performance of organizational units over multiple dimensions. Traditionally, the four dimensions of learning and growth, internal business processes, customer satisfaction, and financial performance have been used. The concept is demonstrated with multiple business contexts.
12#
發(fā)表于 2025-3-23 15:38:19 | 只看該作者
13#
發(fā)表于 2025-3-23 21:31:43 | 只看該作者
14#
發(fā)表于 2025-3-23 22:28:15 | 只看該作者
https://doi.org/10.1007/978-3-662-10539-9Nature is a complex system with many powerful physical events caus8ing disruption of human activities. Emergency management systems are described and modeling options demonstrated.
15#
發(fā)表于 2025-3-24 04:34:07 | 只看該作者
Thermodynamik für das BachelorstudiumIn addition to natural disasters, there is a systemic continuous challenge to natural environments from developments such as global warming, and from epidemic health risks such as COVID-19. The United Nations view of sustainable development goals is described. Data mining and multi-criteria modeling of sustainability goals are presented.
16#
發(fā)表于 2025-3-24 09:54:03 | 只看該作者
Geothermometrie und Geobarometrie,Methods to assess and evaluate environmental damage are presented, to include cost-benefit analysis, contingent evaluation, conjoint analysis, and habitat equivalency analysis. Methods are demonstrated with risk management contexts.
17#
發(fā)表于 2025-3-24 13:27:00 | 只看該作者
18#
發(fā)表于 2025-3-24 15:12:29 | 只看該作者
Value-Focused Supply Chain Risk Analysis,Business decisions usually involve multiple conflicting objectives. This chapter reviews processes to structure such decisions, and provides a detailed method of the simple multi-attribute rating theory (SMART) to analyze such decisions in a systematic manner. Calculations are demonstrated.
19#
發(fā)表于 2025-3-24 21:50:17 | 只看該作者
20#
發(fā)表于 2025-3-25 00:43:02 | 只看該作者
Simulation of Supply Chain Risk,Many supply chain problem analyses involve uncertainty in the form of statistically measured distributions. Monte Carlo simulation is a highly useful tool to analyze statistical distributions and to model many supply chain decisions involving risk. Inventory management and vendor selection decisions are demonstrated using Crystal Ball software.
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