The Art and Science of Modeling Decision-Making Under Severe Uncertainty

For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in such cases the ingredients of the mathematical model to the fullest extent, which in turn brings under the spotlight the art of mathematical modeling. In this discussion we examine some of the subtle considerations that are called for in the mathematical modeling of decision-making under severe uncertainty in general, and worst-case analysis in particular. As a case study we discuss the lessons learnt on this front from the Info-Gap experience.

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Human Resources: A case study of must-have HR Policies, Hypothetical cases, Employment Legal Cases and their Worst-Case Analysis

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.10.06.2020.p10206 ◽

2020 ◽

Vol 10 (06) ◽

pp. 30-39

Author(s):

Arjun Dattaraju

Keyword(s):

Human Resources ◽

Case Analysis ◽

Worst Case Analysis ◽

Worst Case ◽

Legal Cases

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STARS of MPEG decoder: a case study in worst-case analysis of discrete-event systems

Ninth International Symposium on Hardware/Software Codesign. CODES 2001 (IEEE Cat. No.01TH8571) ◽

10.1109/hsc.2001.924659 ◽

2002 ◽

Cited By ~ 1

Author(s):

F. Balarin

Keyword(s):

Discrete Event Systems ◽

Discrete Event ◽

Case Analysis ◽

Worst Case Analysis ◽

Worst Case ◽

Event Systems

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Production sequencing in a flow shop system using optimization and heuristic algorithms

Gestão & Produção ◽

10.1590/1806-9649.2020v28e3886 ◽

2021 ◽

Vol 28 (1) ◽

Author(s):

Álvaro Caicedo-Rolón Junior ◽

John Wilmer Parra Llanos

Keyword(s):

Mathematical Model ◽

Decision Making ◽

Performance Measures ◽

Heuristic Algorithms ◽

Flow Shop ◽

Delivery Times ◽

Time Average ◽

Reducing Costs ◽

The Mathematical Model

abstract: The purpose of the research was to determine the sequencing of the production of n jobs in m operations in a small footwear company in an environment of flow shop machine characteristics, which optimizes the total time of completion of the job in the production system (Makespan). We used heuristic algorithms that were applied through Lekin and WinQSB softwares, and for the optimization algorithm we designed a mathematical model that was solved by Juliabox software. Results show that the integer linear programming and local search minimize the makespan with 3807 minutes, and different production sequences for each algorithm, which consider permutation, which improves the traditional way of programming the production in 97 minutes, however, the optimization presents better results in the performance measures of average waiting time, average time of flow, and average job in process. Application of heuristic algorithms proves to be simple and fast, but the mathematical model of optimization designed and encoded in the software is a flexible and valuable tool for decision making in production programming, which could be applied in other footwear companies, and in other productive sectors whose companies have the same characteristics of the case study, reducing costs and improving delivery times.

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Modelling and Simulation of NO2 Dispersion Phenomenon in Atmosphere by Analytical-Experimental Methods

Revista de Chimie ◽

10.37358/rc.08.10.1979 ◽

2008 ◽

Vol 59 (10) ◽

Author(s):

Delia Perju ◽

Harieta Pirlea ◽

Gabriela-Alina Brusturean ◽

Dana Silaghi-Perju ◽

Sorin Marinescu

Keyword(s):

Mathematical Model ◽

Nitrogen Dioxide ◽

Modeling And Simulation ◽

Human Health ◽

Experimental Methods ◽

Negative Effects ◽

Real Situation ◽

Experimental Values ◽

The Mathematical Model

The European laws and recently the Romanian ones impose more and more strict norms to the large nitrogen dioxide polluters. They are obligated to continuously improve the installations and products so that they limit and reduce the nitrogen dioxide pollution, because it has negative effects on the human health and environment. In this paper are presented these researches made within a case study for the Timi�oara municipality, regarding the modeling and simulation of the nitrogen dioxide dispersion phenomenon coming from various sources in atmosphere with the help of analytical-experimental methods. The mathematical model resulting from these researches is accurately enough to describe the real situation. This was confirmed by comparing the results obtained based on the model with real experimental values.

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