scholarly journals OPTIMIZATION VIA SIMULATION: SOLUTION CONCEPTS, ALGORITHMS, PARALLELCOMPUTING STRATEGIES AND COMMERCIAL SOFTWARE

2014 ◽  
pp. 7-12
Author(s):  
Gianpaolo Ghiani ◽  
Pasquale Legato ◽  
Roberto Musmanno ◽  
Francesca Vocaturo
Keyword(s):  
Parallel Computing ◽  
Performance Measures ◽  
Critical Review ◽  
Simulation Optimization ◽  
Stochastic Simulations ◽  
Solution Concepts ◽  
Commercial Software ◽  
Software Packages ◽  
Optimization Via Simulation ◽  
Decision Variables

Simulation optimization (or optimization via simulation) is defined as the optimization of performance measures based on outputs from stochastic simulations. Although several articles on this topic have been published, the literature on optimization via simulation is still in its infancy. In this paper the research in this field is reviewed and some issues that have not received attention so far are highlighted. In particular, a survey of solution methodologies is presented, followed by a critical review of parallel computing strategies and commercial software packages. A particular emphasis is put on problems with discrete decision variables.

A simulation–optimization strategy to deal simultaneously with tens of decision variables and multiple performance measures in manufacturing

2017 ◽  
Vol 12 (3) ◽  
pp. 258-270
Author(s):  
Esmeralda Niño-Pérez ◽  
Yaileen M. Méndez-Vázquez ◽  
Dick E. Arias-González ◽  
Mauricio Cabrera-Ríos
Keyword(s):  
Performance Measures ◽  
Simulation Optimization ◽  
Optimization Strategy ◽  
Decision Variables

Should commercial software packages be used in the classroom?

1988 ◽  
Vol 20 (3) ◽  
pp. 32-33
Author(s):  
Giora Baram ◽  
Frank F. Friedman
Keyword(s):  
Commercial Software ◽  
Software Packages

Essentials of Linear Programming for Managers

2014 ◽  
pp. 96-127
Author(s):  
Hossein Arsham ◽  
M. Bardossy ◽  
D. K. Sharma
Keyword(s):  
Linear Programming ◽  
Standard Form ◽  
Optimal Solution ◽  
Solution Algorithm ◽  
Managerial Decision ◽  
Software Packages ◽  
Time Sensitivity ◽  
Decision Variables ◽  
New Variables ◽  
Critical Overview

This chapter provides a critical overview of Linear Programming (LP) from a manager's perspective. The main objective is to provide managers with the essentials of LP as well as cautionary notes and defenses on common modeling issues and software limitations. The authors illustrate the findings by solving a simple LP directly on the original decision variables and constraints space without adding new variables or translating the model to fit a specific solution algorithm. The aims are the unification of diverse set of topics in their natural states in a manner that are easy to understand and providing useful information to the managers. The advances in computing software have brought LP tools to the desktop for a variety of applications to support managerial decision-making. However, it is already recognized that current LP tools, in ample circumstances, do not answer the managerial questions satisfactorily. For instance, there is a costly difference between the mathematical and managerial interpretations of sensitivity analysis. LP software packages provide one-change-at-a-time sensitivity results; the authors develop the largest sensitivity region, which allows for simultaneous dependent and/or independent changes, based on the optimal solution. The procedures are illustrated by numerical examples including LP in standard-form and LP in non standard-form.

scholarly journals Well Rate and Placement for Optimal Groundwater Remediation Design with A Surrogate Model

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2233 ◽  
Author(s):  
Sbai
Keyword(s):  
Quality Management ◽  
Solute Transport ◽  
Groundwater Remediation ◽  
Simulation Optimization ◽  
Three Dimensional ◽  
Optimal Designs ◽  
Management Model ◽  
Decision Variables ◽  
Quality Management Model ◽  
Remediation Design

A new surrogate-assisted optimization formulation for groundwater remediation design was developed. A stationary Eulerian travel time model was used in lieu of a conservative solute transport model. The decision variables of the management model are well locations and their flow rates. The objective function adjusts the residence time distribution between all pairs of injection-production wells in the remediation system. This goal is achieved by using the Lorenz coefficient as an effective metric to rank the relative efficiency of many remediation policies. A discrete adjoint solver was developed to provide the sensitivity of the objective function with respect to changes in decision variables. The quality management model was checked with simple solutions and then applied to hypothetical two- and three-dimensional test problems. The performance of the simulation-optimization approach was evaluated by comparing the initial and optimal remediation designs using an advective-dispersive solute transport simulator. This study shows that optimal designs simultaneously delay solute transport breakthrough at pumping wells and improve the sweep efficiency leading to smaller cleanup times. Well placement optimization in heterogeneous porous media was found to be more important than well rate optimization. Additionally, optimal designs based on two-dimensional models were found to be more optimistic suggesting a direct use of three-dimensional models in a simulation-optimization framework. The computational budget was drastically reduced because the proposed surrogate-based quality management model is generally cheaper than one single solute transport simulation. The introduced model could be used as a fast, but first-order, approximation method to estimate pump-and-treat capital remediation costs. The results show that physically based low-fidelity surrogate models are promising computational approaches to harness the power of quality management models for complex applications with practical relevance.

scholarly journals The thermodynamic database COST MP0602 for materials for high-temperature lead-free soldering

2012 ◽  
Vol 48 (3) ◽  
pp. 339-346 ◽  
Author(s):  
A. Kroupa ◽  
A. Dinsdale ◽  
A. Watson ◽  
J. Vrestal ◽  
A. Zemanova ◽  
...  
Keyword(s):  
High Temperature ◽  
Thermodynamic Data ◽  
Ternary Systems ◽  
Thermodynamic Modelling ◽  
Thermodynamic Database ◽  
Lead Free ◽  
Commercial Software ◽  
Current State ◽  
Software Packages ◽  
Thermodynamic Databases

The current state of thermodynamic modelling in the field of high-temperature lead-free soldering is presented. A consistent thermodynamic database, containing 18 elements (Ag, Al, Au, Bi, Co, Cu, Ga, Ge, Mg, Ni, P, Pb, Pd, Sb, Sn, Ti and Zn) has been created. The thermodynamic data for the most of the important binary and selected ternary systems were checked and included into the database. The database was tested using major commercial software packages. Such reliable and sophisticated software coupled to reliable thermodynamic databases are necessary prerequisites for application of thermodynamics in advanced alloys design.

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