Industry 4.0 aims to ensure the future competitiveness of manufacturing industry by providing Companies with ability react rapid product changes and disturbances, efficiently reliably, through re-configurability. In this paper, we explore value creation process within 4.0, special emphasis on its relationship mass customization sustainability issue. Based identified research gaps opportunities derived from a literature review relevant concepts, propose development...

The optimal management of pension funds has become increasingly critical. As the population ages, effective is essential for social security system. primary goal this paper to develop a deterministic nonlinear multi-objective optimization model determine contribution rates in defined computational was implemented using LINGO language. In first part study, three main scenarios were analyzed considering different inflation rates, focusing on objective function that minimizes salary percentages...

ABSTRACT Approximately 755 million cases and 7 deaths have been reported since the COVID‐19 pandemic. Based on availability of vaccines to contain spread COVID‐19, various vaccination plans implemented globally, some more effective than others, depending each country's social, territorial, economic, political circumstances. In Mexico other Latin American countries with similar situations, vaccinations almost exclusively relied ephemeral mass facilities existing healthcare infrastructure....

A theoretical and experimental analysis is made of the effects self-adaptation in a simple evolving system. Specifically, we consider coding mutation crossover probabilities genetic algorithm certain model fitness landscapes. The resultant genotypephenotype mapping degenerate space, there being no direct selective advantage for one probability versus another. Thus “symmetry” between various genotypes that all correspond to same phenotype. We show action lifts this degeneracy, is, operators...

Purpose The purpose of this paper is to present the development and implementation a multiobjective optimization model information system based on mobile technology, support decision making in humanitarian logistics operations. Design/methodology/approach trade-off between economic social (deprivation) costs faced by governmental nongovernmental organizations (NGOs) involved operations modeled through Pareto frontier analysis, which obtained from model. Such analysis supported an technology....

Purpose: This study proposes a methodology that translates multiple humanitarian supply chain stakeholders’ preferences from qualitative to quantitative values, enabling these be integrated into optimization models ensure their balanced and simultaneous implementation during the decision-making process.Design/methodology/approach: An extensive literature review is used justify importance of developing strategy minimizes impact lack coordination on logistics decisions. A for multi-criteria...

Abstract The main goal in this study was to determine confidence intervals for average age, seniority, and money-savings, faculty members a university retirement system using simulation model. simulation—built-in Arena—considers the probability of continuing institution as input random variables An annual interest rate 7% an salary increase 3% were considered. scenario simulated consisted teacher making contributions, 5% his salary, teacher’s salary. Since base salaries with which teachers...

Abstract The use of a genetic algorithm (GA) to optimise the binary variables in mixed-integer linear programming model for block layout design problem with unequal areas that satisfies area requirements is analysed. performance GA improved using local search through possible assignment; results encourage this technique find set feasible solutions more than nine departments. Keywords: algorithmsmeta-heuristicsfacility designevolutionary computation

The identification of different heart diseases plays an important role in medical applications since it is becoming a growing problem. In order to decrease the number deaths, consider warning signs, and knowing how respond quickly properly when occurs. this paper we propose use Fuzzy Support Vector Clustering identify disease also degrees sickness that serve as signs for patients. algorithm uses kernel induced metric assign each data cluster SVM density estimation parameterize clusters (to...

Industry 4.0 aims to ensure the future competitiveness of manufacturing industry, where one major challenges faced by its implementation is manufacturing/production system robustness (that is, able perform in presence noise), as they may not be absorb input disruptions without bending or breaking. In this paper we propose use Max-Plus algebra approach study propagation disturbances (i.e., processing time variations), presenting a case and performing sensitivity analysis, with idea...

A fuzzy based hyperheuristic system is used for Genetic Algorithm self adaption. Takagi-Sugeno Inference System as High level Heuristic and the GA Low-level heuristic. The framework allows to automatically adjust their own parameters without need manual adjustment. handle uncertainty about which or in what proportion should parameters.