DISTRIBUTION OF THE NORMAL REACTIONS ON THE QUANTOMOBILE WHEELS

Introduction: The progress of science has made it possible to create new quantum engines (QEs) powered by physical vacuum energy. A QE will generate a vector-based propulsive force, or thrust, applicable to the vehicle body directly, with no transmission required. Traditional cars will be upgraded with QEs and thus converted into quantomobiles. QE thrust application at the point of the vehicle body, hovering above the bearing surface, introduces changes in the traditional diagram of forces acting on the vehicle. Therefore, it is necessary to assess the influence of thrust on the longitudinal stability of the quantomobile. Methods: In the course of the study, we upgraded the diagram of forces acting on the traditional vehicle, by introducing QE thrust (bearing in mind vehicle hovering above the bearing surface). We also developed a corresponding mathematical model for the distribution of the normal reactions on the wheels, taking into account QE placement. Results: Among the developed calculation complexes to perform a qualitative analysis of the influence of force factors on the quantomobile chassis load, a complex representing the longitudinal thrust and the thrust height was distinguished. Discussion: These complexes may serve as the basis of calculation units for more detailed programming, analysis, and synthesis of the design of vehicles with QEs, assessment of the longitudinal stability of the vehicle, optimization of QE placement in the quantomobile body. Example: The method developed is presented using a quantomobile similar to a KamAZ-4326 automobile. Conclusion: The considered diagram of forces acting on a quantomobile, including QE thrust above the bearing surface, shall become generic for force diagrams of quantomobiles with additional thrusters intended to increase the longitudinal stability of the vehicle.

KOMBINASI PRODUKSI OPTIMAL PADA PRODUK UD. SERAYU PEJATEN TABANAN

Production planning is series of activities to determine a production strategy to meet consumer demand. An optimal production resulting in maximum profit. The purpose of this study is to determine the optimal production combination at UD. Serayu in Pejaten Village, Kerambitan District, Tabanan Regency. This study uses linear programming analysis and analysis of calculating business net income. Based on the results of linear programming analysis using POMQM for Windows, the company's optimal production combination are 30,000 units, Terracotta Bricks 4,536 units, Pressed Roof Tile 24,600 units and Bubungan (roof) 20,400 units. The net profit generated for one month is Rp. 71,208,038.02 while the net profit generated by producing the optimal number of product combinations is Rp. 75,849,726.02. Linear programming analysis helps companies determine the optimal production combination for limited resources and analysis of net profit helps to compare operating profits before and after the optimal production combination. Keywords: production optimization, linear programming, maximum profit

Dynamic Programming Analysis for Measuring the Optimization of the Manpower per Shift PT. XYZ

The problems that occur in the company is the production system make to order, for example PT. XYZ. Unknown certainty the amount of the order lenses will be produced. So it is not known how labor should be allocated to each shift. Then used the approach of dynamic programming to optimize the number of workers per shift in the PT. XYZ. This study aims to determine the analysis of the dynamic programming optimization to allocate the amount of labor per shift to be effective. The type of research data is primary data obtained through direct observation in PT. XYZ. The results of the research based on the calculation of the forward recursive dynamic programming: shift 1 = 105 people, shift 2 = 104 people and shift 3 = 104 people. While the solution of the optimal allocation of labor for each shift based on the calculation of the backward recursive dynamic programming: shift 1 = 105 people, shift 2 = 104 people and Shift 3 = 104 people. Then the PT. XYZ should allocate 313 workers, so that the allocation of labor to each shift is optimal according to the order received

SOLIDWORKS ADD-IN FOR MOTION SIMULATION, LAYOUT ANALYSIS AND COLLISION DETECTION OF SUBSTRATE HANDLING ROBOTS

The paper is dedicated to the implementation of a tool for motion simulation, layout analysis, and collision detection of substrate handling robots in the form of an add-in for SolidWorks. The main goal is developing a system that allows the direct usage of standard SolidWorks robot 3D models for simulation, offline programming, analysis, and optimization of automated cells, applicable in the field of semiconductor device manufacturing. The resultant system allows the simultaneous execution of de-sign, simulation, and evaluation activities, based on a single software platform, thus increasing productivity, saving time, and reducing costs. The proposed add-in concept contributes to achieving a much more integrated appearance and behavior of the tool, enhancing its functionality, and eliminating issues associated with reliability and security.

The Implementation of Linear Program in Determining Product Combinations to Achieve Optimal Profits in Nganjuk “Syukur” Tile Home Industry

The objective achieved through this research is to study the application of linear programming in determining the combination of products that can produce optimal profits in the Nganjuk "thanksgiving" tile home industry. To achieve these objectives, in this study using this research included in descriptive research, the main data collection methods are interviews, field observations and documentation. Analysis of the data used is linear programming analysis with the simplex method. While to determine the agreement of use, a time series analysis can be used which can be used as a basis for forecasting for the future (linear trend with the method of small squares). From the results of the analysis to determine the optimal product combination in linear programming, there is a function as an objective and a function as a limitation. And in this study it was confirmed as follows: Max Z = 216,250 X1 + 156,000 X2 + 1,363,000 X3. As a combination of tile (X1) = 341 per day; Pilang Karang Tile (X2) = 448 per day and Wuwung Tile (X3) = 203 per day, the benefit is Rp. = 418,937,000. For that, the company must pay attention to the combination of products by calculating the right, if the company produces more than one type of product. Likewise with the limiting factors. Keywords: Linear Program, Product Combination, Optimal Profit, Home Industry

Nutrients Essential for Cognitive Function Are Typical Problem Nutrients in the Diets of Myanmar Primary School Children: Findings of a Linear Programming Analysis

Background: Good cognitive function is important for school-age children. Although essential fatty acids play a main role in cognitive functions, their intakes are assumed as inadequate among developing countries including Myanmar. However, there is still lack of evidence to show whether they are problem nutrients. Objective: This study aimed to determine the problem nutrients in the diets of Myanmar primary schoolchildren and to formulate food-based recommendations (FBR) to optimize the intake of these micronutrients. Methods: A cross-sectional study was conducted at 3 primary schools in Nyaungdon Township of Myanmar. A 1-week dietary intake assessment was done on 7- to 9-year-old (n = 100) primary schoolchildren. A linear programming approach using the World Health Organization Optifood software was used to assess the nutrient intake and develop FBRs. Results: The prevalence of stunted growth, wasting, and being underweight in the students were 28%, 18%, and 28%, respectively. The intake of calcium, vitamin B1, folate, iron, omega-3 fatty acids, eicosapentaenoic acid, and docosahexaenoic acid was insufficient. Locally available nutrient-dense foods that include water spinach, carp fish, duck egg, garden pea, and shrimp were selected to develop FBR to increase the intake of problem nutrients. Conclusion: The linear programming analysis showed that the primary schoolchildren have difficulty meeting nutrient recommendations given locally available foods, especially iron and essential fatty acids which are important for cognitive performance of schoolchildren.

Aquaculture Production Optimization Model of Brebes Regency

The purpose of this study was to determine the combination of aquaculture production in Brebes District and to know the intervals that might occur in variables so that the optimization model can still be used. The research variable consists of decision variables, namely the amount of aquaculture commodities that must be produced to achieve maximum profit. The commodities in question are shrimp, tilapia, catfish, milkfish, and seaweed. The constraint variable is the production factor used in aquaculture activities, including land, seeds, feed and fertilizer, and operational costs. The method of data analysis in this study uses Linear Programming analysis and sensitivity analysis. The type of data used is primary data from interviews with aquaculture households in Brebes District. The results showed the maximum profit from aquaculture production in Brebes District can be obtained when the number of vaname shrimp produced was 975,383.5 kg, catfish as much as 1,985,898 kg, milkfish as much as 885,986.6 kg, and seaweed as much as 2,532,448 kg. From the combination of aquaculture production, it can be seen that the maximum amount of profit obtained is Rp. 111,590,500,000 for one cultivation cycle. Suggestions: 1) strengthen the institutional household of aquaculture. 2) The government is expected to provide direction and incentives to cultivation FHs related to achieving production combination targets that produce maximum profits. 3) In the future, it is hoped that the related offices can have a more complete database on the fisheries sector, so that the analysis carried out has accurate results. Tujuan penelitian ini adalah mengetahui kombinasi produksi perikanan budidaya di Kecamatan Brebes serta mengetahui intervalperubahan yang mungkin terjadi pada variabel sehingga model optimasi masih dapat digubakan. Variabel penelitian terdiri dari variabel keputusan yaitu jumlah komoditas perikanan budidaya yang harus diproduksi untuk mencapai keuntungan maksimal. Adapun komoditas yang dimaksud adalah udang, nila, lele, bandeng, dan rumput laut. Variabel kendala adalah faktor produksi yang digunakan dalam kegiatan budidaya, diantaranya adalah lahan, bibit, pakan danpupuk, dan biaya operasional. Metode analisis data dalam penelitian ini menggunakan analisis program linear dan analisis sensitivitas. Jenis data yang digunakan adalah data primer dari hasil wawancara dengan rumah tangga perikanan budidaya di Kecamatan Brebes. Hasil penelitian menunjukkan euntungan maksimal dari produksi perikanan budidaya di Kecamatan Brebes dapat diperoleh ketika jumlah udang vaname yang diproduksi sebanyak 975.383,5 kg, lele sebanyak 1.985.898 kg, bandeng sebanyak 885.986,6 kg, dan rumput laut sebanyak 2.532.448 kg. Dari kombinasi produksi perikanan budidaya tersebut, dapat diketahui jumlah keuntungan maksimum yang diperoleh sebesar Rp. 111.590.500.000 untuk satu siklus budidaya. Saran: 1) memperkuat kelembagaan rumah tangga perikanan budidaya. 2) Pemerintah diharapkan memberikan arahan dan insentif kepada RTP budidaya terkait pencapaian target kombinasi produksi yang menghasilkan keuntungan maksimum. 3)Kedepannya diharapkan dinas terkait dapat memiliki database mengenai sektor perikanan yang lebih lengkap, sehingga analisis yang dilakukan memiliki hasil yang akurat.

Determination of Optimum Crop Mix Using Linear (LP) Programming among Small Holder Farmers in Agricultural Zone Four of Adamawa State, Nigeria

Linear programming was applied to farm data collected from 120 smallholder farmers in 2017/18 cropping season in agricultural zone four (4) of Adamawa state, Nigeria for the purpose of identifying optimal crop mix to maximize revenue. A total of twenty (20) cropping enterprises were identified in the existing cropping pattern, fifteen (15) mixed and five (5) sole cropping enterprises. Popular enterprises identified included four mixed and two sole cropping enterprises and all the six enterprises showed positive net return. The result of the linear programming analysis however, showed that the optimal farm plan at observed maximum resource levels admitted only groundnut and sorghum in the final plan to be produced at 2 hectares with an associated total gross margin of N478, 380.00. In the sensitivity analysis identified with the observed maximum resource level, land was the only binding resource in the final plan. The optimal farm plan at observed average resource levels showed that three enterprises; groundnut/sorghum, maize/sorghum and sole maize were admitted in the final plan under 0.45ha, 0.21ha and 0.17ha, respectively. The associated total gross margin was N153, 003.99. In the sensitivity analysis associated with the observed average resources, only NPK, SSP, Laraforce were binding resources. The study recommended that the optimum enterprises and resources combination obtained in the Linear Programming output should be extended to the farmers to enhance their profit level, beside; farmers should be encouraged through adequate support and promotions to improve the production techniques of these recommended enterprises.