揭穿真相
发表于 2025-3-28 16:43:55
https://doi.org/10.1007/978-1-4613-4268-7ision making models have been compared and extended. When the data is presented with uncertainty, stochastic DEA provides a good tool to perform efficiency analysis by handling both inefficiency and stochastic error.
愤世嫉俗者
发表于 2025-3-28 20:35:22
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侧面左右
发表于 2025-3-28 23:30:31
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使虚弱
发表于 2025-3-29 06:34:41
Enterprise Risk Management in Supply Chains,hose responsible for decision making are identified, and a process outlined where risks, responses, and measures of outcomes are included..A process of risk identification, assessment, strategy development and selection, implementation and monitoring is reviewed. Representative mitigation strategies were extracted from published sources.
municipality
发表于 2025-3-29 08:21:13
Simulation of Supply Chain Risk,Arena (or many others) are very appropriate for that type of modeling. The other type is supportable by spreadsheet tools such as Crystal Ball, demonstrated in this chapter. Spreadsheet simulation is highly appropriate for inventory modeling as in push/pull models. Spreadsheet models also are very useful for system dynamic simulations.
Common-Migraine
发表于 2025-3-29 15:24:08
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一条卷发
发表于 2025-3-29 16:54:23
Data Mining Models and Enterprise Risk Management,n industry and has all of the benefits of open source software (many eyes are monitoring it, leading to fewer bugs; it is free; it is scalable). Further, the R system enables widespread data manipulation and management.
Calibrate
发表于 2025-3-29 20:59:58
Natural Disaster Risk Management,ems have made the price very high, and we have not figured out how to acceptably dispose of the waste. While natural disasters come as surprises, we can be prepared. This chapter addresses natural domain risks in the form of disaster management.
wall-stress
发表于 2025-3-30 02:27:23
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Crumple
发表于 2025-3-30 07:08:11
Gilbert Newton Lewis,Merle Randallrices provide valuable initial tools when high levels of uncertainty are present. Quantitative risk assessment in the form of indices as demonstrated would be preferred if data to support it is available.