Integration of lot sizing and scheduling models to minimize production cost and time in the automotive industry

Lot planning and production scheduling are important processes in the manufacturing industry. This study is based on the case study of automotive spare parts manufacturing firm (Firm-A), which produces various products based on customer demand. Several complex problems have been identified due to different production process flows for different products with different machine capability considerations at each stage of the production process. Based on these problems, this study proposes three integrated models that include lot planning and scheduling to minimize production costs, production times, and production costs and time simultaneously. These can be achieved by optimizing model solutions such as job order decisions and production quantities on the production process. Next, the genetic algorithm (GA) and the Taguchi approach are used to optimize the models by finding the optimal model solution for each objective. Model testing is presented using numerical examples and actual case data from Firm-A. The model testing analysis is performed using Microsoft Excel software to develop a model based on mathematical programming to formulate all three objective functions. Meanwhile, GeneHunter software is used to represent the optimization process using GA. The results show production quantity and job sequence play an essential role in reducing the cost and time of production by Rp 42.717.200,00 and 31392.82 minutes (65.4 days), respectively. The findings of the study contribute to the production management of Firm-A in helping to make decisions to reduce the time and costs of production strategically, where it provides a guideline for complex production activities

Applications of aerospace technology in the electric power industry

An overview of the electric power industry, selected NASA contributions to progress in the industry, linkages affecting the transfer and diffusion of technology, and, finally, a perspective on technology transfer issues are presented

Concept attainment in mathematics within content-based instruction for secondary English as a second language

The purpose of this project is to provide a useful model, the Concept Attainment Model in Mathematics, which implicates the concept attainment teaching method based on adjunct content-based instruction by using visuals and manipulatives in order to help ESL students be successful for both substantive content areas

Parallelizing remote sensing image geometric correction

Remote sensing spatial, spectral, and temporal resolutions of images, acquiredLes resolucions espacials, espectrals i temporals d'imatges de teledetecci ó, adquirides a una mida raonable, donen com a resultat imatges que es poden processar per a representar grans àrees de terreny amb un nivell de detall espacial que esLas resoluciones espaciales, espectrales y temporales de imágenes de teledetección, adquiridas a un tamaño razonable, dan como resultado imágenes que se pueden procesar para representar grandes áreas de terreno con un nivel de detalle espacial que es muy atractivo para la observación y la gestión, así como para actividades científicas. Con la ley de Moore aún vigente, más y más paralelismo es introducido a cada nueva generación para todas las plataformas de computación. El paralelismo está presente en todos los niveles de integración y en la programación, con el fin de obtener un mayor rendimiento y eficiencia energética. Siendo el proceso de calibración geométrica uno de los procesos más costosos computacional y temporalmente cuando utilizamos imágenes de teledetección, el objetivo de este trabajo es acelerar este proceso mediante el aprovechamiento de las nuevas tecnologías y arquitecturas de computación, haciendo especial hincapié en la explotación de hardware paralelo con memoria compartida. Mediante el uso de directivas OpenMP se ha paralelizado la etapa más costosa y lenta del proceso de corrección geométrica de imágenes de teledetección. Este trabajo compara el rendimiento de la aplicación original serie con la versión paralelizada mediante pruebas en distintos sistemas multiprocesador, proponiendo varios enfoques para escoger el hardware más adecuado para una ejecución óptima

On power capping and performance optimization of multithreaded applications

Multi-threaded applications facilitate the exploitation of the computing power of multicore architectures. On the other hand, these applications can become extremely energy-intensive, in contrast with the need for limiting the energy usage of computing systems. In this article, we explore the design of techniques enabling multi-threaded applications to maximize their performance under a power cap. We consider two control parameters: the number of cores used by the application, and the core power state. We target the design of an auto-tuning power-capping technique with minimal intrusiveness and high portability, which is agnostic about the workload profile of the application. We investigate two different approaches for building the strategy for selecting the best configuration of the parameters under control, namely a heuristic approach and a model-based approach. Through an extensive experimental study, we evaluate the effectiveness of the proposed technique considering two different selection strategies, and we compare them with existing solutions

Human Problem Solving of Two Applied Tasks in Economic Allocation

The objective of this paper is to examine in depth one aspect of human problem solving; specifically, to deal with a task environment familiar to the managerial practiocioner --- one of allocating scarece resources in an equitable and efficient manner toward the accomplishment of a defined goal. The central focus will be on measuring the problem solver’s relative efficiency and equitability in solving this allocation task using two different sets of data. To observe the problem solver’s thought processes, the “thinking aloud protocol” will be used. The use of protocols in discussed in Chapter 2. Of prime importance in the evaluation of protocols is (1) the goal of the problem solution and (2) the data given to the problem solver for use in arriving at this goal. The goal toward which the problem solver for use in arriving at this goal. The goal toward which the problem solver is striving has two distinct areas

A TMDTO Attack Against Lizard

Lizard is a very recently proposed lightweight stream cipher that claims 60 bit security against distinguishing (related to state recovery) and 80 bit security against key recovery attack. This cipher has 121 bit state size. In this paper, we first note that using $\psi$ key stream bits one can recover $\psi$ unknown bits of the state when $\tau$ state bits are fixed to a specific pattern. This is made possible by guessing the remaining state bits. This helps us in mounting a TMDTO attack with preprocessing complexity $2^{67}$, and the maximum of Data, Time and Memory complexity during the online phase as $2^{54}$. The parameters in the online phase are significantly less than $2^{60}$

Navigation, ship\u27s stability and dynamics : a computational approach

This paper deals with the use of LOTUS 1-2-3 as a tool for calculations with particular reference to rhumb line sailing, great circle sailing, satellites for navigation, navigational errors, stability at large angles and roll motion. The introduction deals with the purpose of this paper, its intentions and limitations and a chronological categorization of the tools used to perform navigational, ship stability and dynamics calculations. This paper is divided into two parts ; - Part I which is an general overview of LOTUS 1-2-3. - Part II which deals with application