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Sensitivity Analysis
An important area of applications of optimality conditions is concerned with questions arising from sensitivity analysis of nonlinear programming... -
Sensitivity Analysis by SIMUS: The IOSA Procedure
This chapter addresses a fundamental subject: sensitivity analysis. It is not only a checking procedure but also a tool, which allows the DM to... -
Uncertainty Quantification and Sensitivity Analysis for Digital Twin Enabling Technology
As US Nuclear Regulatory Committee (NRC) recently announced machine learning (ML) and artificial intelligence (AI) will be the main research topics... -
From Planning to Valuation: Mastering Business Planning and Sensitivity Analysis for Your Startup
Starting a new business can be a daunting task, but having a solid business plan, building a good financial model, and performing sensitivity... -
Super efficiency and sensitivity analysis of the Indian hotels and restaurants
Over the course of COVID-19, the global growth of the hospitality and restaurant (H&Rs) sector has been declined. “Indian H&R industry has also faced...
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Simultaneous sensitivity analysis of mixed-integer location-allocation models using machine learning tools: cancer hospitals’ network design
Uncertainty analysis is an inevitable attribute of location-allocation problems due to unforecastable parameter changes. Although the simultaneous...
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Multi-Echelon Inventory Optimization for Practitioners: a Predictive Global Sensitivity Analysis Approach
Intense competition in e-commerce has forced firms to provide highly precise delivery time guarantees such as ‘same-day’ and ‘2-day’ ship**. To...
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Best Practices: Modelling and Sensitivity Analysis in MCDM
Considering the questions posed by hundreds of practitioners in a scientific forum such as Research Gate (RG) over several years, it appears that... -
Sensitivity and Courage: A Social and Cultural Analysis of Esther 4:13–5:8
Esther provides an opportunity to study female leadership through a Christian perspective, highlighting how to rise to leadership from a position... -
Sensitivity Analysis of the Unrelated Parallel Machine Scheduling Problem with Rework Processes and Machine Eligibility Restrictions
This paper deals with an unrelated parallel machine scheduling problem considering machine eligibility restrictions and release times. Setup times...
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Sensitivity analysis for a dynamic macroeconomic policy game in a monetary union
In this paper, we examine the sensitivity of the results of an earlier paper which presented and analyzed a dynamic game model of a monetary union...
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Understanding the Uncertainty Using Sensitivity Analysis in Artificial Neural Networks
The uncertainty of outcomes with respect to the uncertain inputs is usually explored in sensitivity analysis. In particular, we address in this work... -
Sensitivity analysis of agent-based models: a new protocol
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they...
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On the sensitivity of some portfolio optimization models using interval analysis
In this paper, the performance of the optimal portfolio is studied when the portfolio optimization model is sensitive towards the expected rate of...
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Develo** as a Manager with Sense and Sensitivity
In this chapter, we describe how you as a manager can use reflection in your daily activities to increase your knowledge and develop your competence.... -
MCDM Methods: Modelling, Feasibility, and Sensitivity Analysis
This chapter addresses mathematical modelling, probably the most important aspect in MCDM, which unfortunately has received little attention from... -
Multidimensional Risk Evaluation in Natural Gas Pipelines: Contributions from Sensitivity Analysis and Risk Visualization to Improving the Management of Risk
Different approaches to risk management in industrial facilities and of modes of transportation are found in the literature and have been applied in... -
Portfolio choice under loss aversion and diminishing sensitivity: a theoretical extension
This article provides some analytical proofs for the effects of loss aversion and diminishing sensitivity on portfolio choice. We use the performance...
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Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
Data sensitivity and domain specificity challenges arise in reuse of machine learning applications. We identify four types of machine learning...
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Mortgage Analysis
This chapter introduces mortgage analysis. We first review mortgage characteristics and concepts. We then explore equations and Excel functions...