scholarly journals Optimization Model of Marketing Distribution Fish Processed Products by Transportation Method

2020 ◽  
Vol 008 (01) ◽  
pp. 68-81
Author(s):  
Harsuko Riniwati ◽  
◽  
Lina Asmara Wati ◽  
Eko Waluyo ◽  
Mentari Puspa Wardani ◽  
...  
Keyword(s):  
Optimization Model ◽  
Minimum Cost ◽  
Optimization Method ◽  
Linear Program ◽  
Transportation Problems ◽  
Maximum Profit ◽  
Processed Products ◽  
Marketing Costs ◽  
Method Model ◽  
Processing Group

The transportation model is a variation of a linear program developed specifically to problems solve related to transportation and the distribution of products from various sources to various destinations. The goal of transportation problems is to allocate goods at the source that all needs are met at the destination of the demand location. The purpose of this study is to analyze the allocation of the delivery of processed catfish products in POKLAHSAR Kediri Regency from the processing location to the market destination with the minimum allocation of marketing costs. The data were obtained from the catfish product processing group in Kediri Regency. Data were analyzed using the transportation optimization method model. The results of the analysis show that all factory capacities can meet the demands of all markets. There is not a single market that is not fulfilled. Suggestions for the research that the maximum profit can be achieved is the allocation of factory 1 product shipments to Tulungagung 165 packs and Ponorogo 65 packs. Factory 2 sent 220 packs to Ponorogo, Surabaya 50 packs, Jakarta 130 packs. Factory 3 sent to Tulungagung 50 packs. Factory 4 sends 100 packs to Ponorogo with a total minimum cost of IDR 620,000.

A Railway Alignment Optimization Method Based on Minimum Cost

2015 ◽  
Vol 744-746 ◽  
pp. 1217-1221
Author(s):  
Xiao Qiang Zheng ◽  
Wei Li ◽  
Wei Liu ◽  
Na Na Li
Keyword(s):  
Objective Function ◽  
Optimization Model ◽  
Minimum Cost ◽  
Optimization Method ◽  
Geographic Information ◽  
Optimal Alignment ◽  
Regular Grids ◽  
Line Structure ◽  
Coupling Constraints ◽  
Structure Environment

In order to automatically generate the railway Alignment, an alignment optimization method based on minimum cost is proposed. Firstly, an optimization model based on the coupling constraints of line-structure-environment is established, in which the comprehensive cost of engineering, operations, and the environment is considered as the objective function. Then based on the regular grids, the Geographic Information Data can be obtained and the comprehensive cost of the connection between two grids can be calculated. At last, the optimal connection between the grids is analyzed under the angle constraint and elevation constraint, thus the optimal alignment can be generated by the connection of grids.

High Speed Information Network Planning using Stochastic Optimization Method

2013 ◽  
Author(s):  
Ki-Sang Song ◽  
Arun K. Somani
Keyword(s):  
Stochastic Optimization ◽  
Network Design ◽  
Multimedia Information ◽  
High Speed ◽  
Minimum Cost ◽  
Optimization Method ◽  
Multimedia Communication ◽  
Network Design Problem ◽  
Information Network ◽  
Traffic Characteristics

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Broadband integrated services digital network (B-ISDN) based on the asynchronous transmission mode (ATM) is becoming reality to provide high speed, multi bit rate multimedia communications. Multimedia communication network has to support voice, video and data traffics that have different traffic characteristics, delay sensitive or loss sensitive features have to be accounted for designing high speed multimedia information networks. In this paper, we formulate the network design problem by considering the multimedia communication requirements. A high speed multimedia information network design alogrithm is developed using a stochastic optimization method to find good solutions which meet the Quality of Service (QoS) requirement of each traffic class with minimum cost.

Trajectory Optimization Applied to Space Rendezvous

2013 ◽  
Vol 756-759 ◽  
pp. 3466-3470
Author(s):  
Xu Min Song ◽  
Qi Lin
Keyword(s):  
Simulated Annealing ◽  
Optimization Model ◽  
Trajectory Optimization ◽  
Optimization Problem ◽  
Optimization Method ◽  
Nonlinear Constraints ◽  
Design Variables ◽  
Adaptive Simulated Annealing ◽  
Simulation Results

The trajcetory plan problem of spece reandezvous mission was studied in this paper using nolinear optimization method. The optimization model was built based on the Hills equations. And by analysis property of the design variables, a transform was put forward , which eliminated the equation and nonlinear constraints as well as decreaseing the problem dimensions. The optimization problem was solved using Adaptive Simulated Annealing (ASA) method, and the rendezvous trajectory was designed.The method was validated by simulation results.

OPTIMASI BIAYA TRANSPORTASI USAHA KELAUTAN : STUDI KASUS UDX KECAMATAN LABUHAN MARINGGAI

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Alfan Juli Andri ◽  
Keyword(s):  
Minimum Cost ◽  
Transportation Problems ◽  
Distribution Costs ◽  
Shipping Cost

Abstract As a maritime country, Indonesia is given an abundance of marine wealth. In an effort to distribute fish from sea products, fishermen in Labuhan Maringgai District, East Lampung Regency collect their prey to Usaha Dagang X (UDX). UDX has 3 main ordering partners for 3 categories of seafood, namely shrimp, fish and crab. Transportation problems at UDX cause distribution costs to increase in delivery of goods to the customer. This study provides an alternative minimum cost solution that can be issued by UDX in distributing goods that are available using existing limitations. The results showed that the minimum shipping cost was IDR 5281200 where the 3 proposed methods showed the same results but had different alternative options.

scholarly journals Sizing and shape optimization material use in 10 bar trusses

2021 ◽  
Vol 343 ◽  
pp. 04004
Author(s):  
Nenad Petrović ◽  
Nenad Kostić ◽  
Vesna Marjanović ◽  
Ileana Ioana Cofaru ◽  
Nenad Marjanović
Keyword(s):  
Genetic Algorithm ◽  
Shape Optimization ◽  
Cross Sections ◽  
Optimization Model ◽  
Structural Characteristics ◽  
Optimization Method ◽  
Truss Optimization ◽  
Algorithm Optimization ◽  
Sizing Optimization ◽  
Bill Of Materials

Truss optimization has the goal of achieving savings in costs and material while maintaining structural characteristics. In this research a 10 bar truss was structurally optimized in Rhino 6 using genetic algorithm optimization method. Results from previous research where sizing optimization was limited to using only three different cross-sections were compared to a sizing and shape optimization model which uses only those three cross-sections. Significant savings in mass have been found when using this approach. An analysis was conducted of the necessary bill of materials for these solutions. This research indicates practical effects which optimization can achieve in truss design.

scholarly journals Enhancing the Robustness of the Wireless Power Transfer System to Uncertain Parameter Variations Using an Interval-Based Uncertain Optimization Method

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2032
Author(s):  
Yanting Luo ◽  
Yongmin Yang ◽  
Xisen Wen ◽  
Ming Cheng
Keyword(s):  
Optimization Model ◽  
Wireless Power Transfer ◽  
Optimization Method ◽  
Uncertain Parameter ◽  
System Structure ◽  
Power Transfer ◽  
Wireless Power ◽  
Uncertain Optimization ◽  
Wide Range ◽  
Parameter Variations

Uncertainty commonly exists in the wireless power transfer (WPT) systems for moving objects. To enhance the robustness of the WPT system to uncertain parameter variations, a modified WPT system structure and an interval-based uncertain optimization method are proposed in this paper. The modified WPT system, which includes two Q-type impedance matching networks, can switch between two different operating modes. The interval-based uncertain optimization method is used to improve the robustness of the modified WPT system: First, two interval-based objective functions (mean function and variance function) are defined to evaluate the average performance and the robustness of the system. A double-objective uncertain optimization model for the modified WPT system is built. Second, a bi-level nested optimization algorithm is proposed to find the Pareto optimal solutions of the proposed optimization model. The Pareto fronts are provided to illustrate the tradeoff between the two objectives, and the robust solutions are obtained. Experiments were carried out to verify the theoretical method. The results demonstrated that using the proposed method, the modified WPT system can achieve good robustness when the coupling coefficient, the operating frequency, the load resistance or the load reactance varies over a wide range.

scholarly journals Arbitrary Microphone Array Optimization Method Based on TDOA for Specific Localization Scenarios

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4326 ◽  
Author(s):  
Haitao Liu ◽  
Thia Kirubarajan ◽  
Qian Xiao
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Optimization Model ◽  
Microphone Array ◽  
Optimization Method ◽  
Sound Source Localization ◽  
Positioning Accuracy ◽  
Specific Localization ◽  
Array Structures ◽  
Array Optimization

Various microphone array geometries (e.g., linear, circular, square, cubic, spherical, etc.) have been used to improve the positioning accuracy of sound source localization. However, whether these array structures are optimal for various specific localization scenarios is still a subject of debate. This paper addresses a microphone array optimization method for sound source localization based on TDOA (time difference of arrival). The geometric structure of the microphone array is established in parametric form. A triangulation method with TDOA was used to build the spatial sound source location model, which consists of a group of nonlinear multivariate equations. Through reasonable transformation, the nonlinear multivariate equations can be converted to a group of linear equations that can be approximately solved by the weighted least square method. Then, an optimization model based on particle swarm optimization (PSO) algorithm was constructed to optimize the geometric parameters of the microphone array under different localization scenarios combined with the spatial sound source localization model. In the optimization model, a reasonable fitness evaluation function is established which can comprehensively consider the positioning accuracy and robustness of the microphone array. In order to verify the array optimization method, two specific localization scenarios and two array optimization strategies for each localization scenario were constructed. The optimal array structure parameters were obtained through numerical iteration simulation. The localization performance of the optimal array structures obtained by the method proposed in this paper was compared with the optimal structures proposed in the literature as well as with random array structures. The simulation results show that the optimized array structure gave better positioning accuracy and robustness under both specific localization scenarios. The optimization model proposed could solve the problem of array geometric structure design based on TDOA and could achieve the customization of microphone array structures under different specific localization scenarios.

Can the Effect of Soft Tissue Artifact Be Eliminated in Upper-Arm Internal-External Rotation?

2011 ◽  
Vol 27 (3) ◽  
pp. 258-265 ◽  
Author(s):  
Yanxin Zhang ◽  
David G. Lloyd ◽  
Amity C. Campbell ◽  
Jacqueline A. Alderson
Keyword(s):  
Soft Tissue ◽  
Optimization Model ◽  
External Rotation ◽  
Human Subjects ◽  
Three Dimensional ◽  
Optimization Method ◽  
Upper Arm ◽  
Movement Artifact ◽  
Sinusoidal Pattern ◽  
Soft Tissue Artifact

The purpose of this study was to quantify the effect of soft tissue artifact during three-dimensional motion capture and assess the effectiveness of an optimization method to reduce this effect. Four subjects were captured performing upper-arm internal-external rotation with retro-reflective marker sets attached to their upper extremities. A mechanical arm, with the same marker set attached, replicated the tasks human subjects performed. Artificial sinusoidal noise was then added to the recorded mechanical arm data to simulate soft tissue artifact. All data were processed by an optimization model. The result from both human and mechanical arm kinematic data demonstrates that soft tissue artifact can be reduced by an optimization model, although this error cannot be successfully eliminated. The soft tissue artifact from human subjects and the simulated soft tissue artifact from artificial sinusoidal noise were demonstrated to be considerably different. It was therefore concluded that the kinematic noise caused by skin movement artifact during upper-arm internal-external rotation does not follow a sinusoidal pattern and cannot be effectively eliminated by an optimization model.

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