Load Optimization for Navy Landing Ship Tank

2019 ◽  
pp. 313-329
Author(s):  
Mevlut Savas Bilican
Keyword(s):  
Mathematical Model ◽  
Transportation Cost ◽  
Special Treatment ◽  
Military Operations ◽  
Military Logistics ◽  
Transportation Time ◽  
Load Optimization ◽  
Loading And Unloading ◽  
Solution Methodology ◽  
Stowage Plan

The success of military operations mainly relies on the proper flow of the logistical supplies such as water, food, ammunition, etc. from source to the operation theater on time. There are special types of transportation vessels regarding the feature of supply. However, when transporting special material like ammunition, most navies usually prefer utilizing their own transportation capabilities since they require special treatment. For this reason, such material is carried in special boxes, called containers. To minimize the transportation cost and time, an efficient container stowage plan is necessary in terms of loading and unloading these containers. This chapter aims to develop a solution methodology to the problem with the focus on military logistics planning. For this purpose, the author develops a mathematical model that attempts to minimize the transportation time by creating proper loading and unloading sequence of containers to military cargo ships.

scholarly journals Immediately mathematical model of maneuverability of the items of the administration

2019 ◽  
Vol 9 (3) ◽  
Author(s):  
Volodymyr Kotsyuruba ◽  
Ruslan Cherevko
Keyword(s):  
Mathematical Model ◽  
Traditional Approach ◽  
Armed Forces ◽  
Control Points ◽  
Military Operations ◽  
The Reformation ◽  
Definition Of ◽  
The Cost ◽  
Military Units ◽  
Current Stage

At the current stage of the reformation of the Armed Forces of Ukraine in the context of the operation of the United Nations (Anti-Terrorist Operation (ATO)), there was a need to increase the effectiveness of the use of troops without increasing the cost of the resource. In the context of increasing capabilities of the armies of the leading countries in the world to investigate and defeat the forces of the opposite side, the problem of maintaining and restoring combat capability in the course of hostilities is very acute. One of the important components that determines combat capability is the maneuverability of the control points (PU). In the course of the defense, the problem of increasing the survivability of the PU system is important because the forces of the opposite side, with the onset of aggression, will try, first of all, to dismantle the PU using modern means of defeat and the massive use of high-precision weapons (WTZ), as well as aircraft and artillery strikes, electronic information and information fight, the use of sabotage and reconnaissance groups and tactical airborne troops to disrupt the control of defending troops. Important importance of the ability to timely carry out maneuver (organized movement) of PU and its elements into a new area in the preparation and in the course of military operations. The traditional approach to ensuring the survivability of PU does not allow to ensure the proper stability of their functioning. There is an objective necessity in the development of such a mathematical model of maneuverability, which in its characteristics would meet the dynamically increasing requirements of the control system of troops in the difficult conditions of projected operations. To ensure the quality management of military units, various measures to ensure the survivability of PU are considered. The article outlines approaches to the definition of indicators of estimation of maneuverability of PU and methods of their calculation. The research is carried out in modern conditions of combat operations, taking into account the movement of the line of the combat collision of the parties and the disclosure of the PU to the enemy's intelligence.

scholarly journals Mathematical Model of the Piped Vehicle Motion in Piped Hydraulic Transportation of Tube-Contained Raw Material

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Yongye Li ◽  
Xihuan Sun
Keyword(s):  
Mathematical Model ◽  
Transportation Cost ◽  
Raw Material ◽  
Maximum Relative Error ◽  
Transportation Energy ◽  
Core Components ◽  
Vehicle Motion ◽  
Motion Characteristics ◽  
Experimental Values ◽  
The Mathematical Model

The piped hydraulic transportation of tube-contained raw material is an emerging technique for transporting materials. In this technique, the piped vehicle is one of the core components, and its motion characteristics directly determine the transportation energy consumption and the transportation cost of this technique. To study the motion characteristics of the piped vehicle, the force of the piped vehicle was analyzed from the mechanical perspective in this paper. On the assumption that the piped vehicle moved steadily and it had sufficient stiffness, the mathematical model of the piped vehicle motion was established in the turbulent flow according to the stress characteristics of the piped vehicle and the factors influencing its motion characteristics, and then the mathematical model was tested by experiments. The findings show that the calculated values of the velocities of the piped vehicle were identical to the experimental values with changes in various influencing factors. When the flow discharge, the diameter or length of the piped vehicle increased, or the mass of transported material decreased, the velocity of the piped vehicle increased. The maximum relative error did not exceed 9.47%, which proved that the mathematical model of the piped vehicle motion was rational. The results can provide theoretical basis to improve the structure of the piped vehicle and the piped hydraulic transportation technique of tube-contained raw material.

A numerical method for solving the physics-based model of IGBT with all free-carrier injection conditions in the base region

2017 ◽  
Vol 36 (6) ◽  
pp. 1653-1662 ◽  
Author(s):  
Jiajia Chen ◽  
Yuhan Ma ◽  
Shiyou Yang
Keyword(s):  
Mathematical Model ◽  
Numerical Model ◽  
Design Methodology ◽  
Free Carrier ◽  
Carrier Injection ◽  
Base Region ◽  
Content Type ◽  
Insulated Gate Bipolar Transistor ◽  
Proposed Model ◽  
Solution Methodology

Purpose The purpose of this paper is to provide an accurate model and method to simulate the transient performances of an insulated gate bipolar transistor (IGBT) in an arbitrary free-carrier injection condition. Design/methodology/approach A numerical model and method for solving the physics-based model, an ambipolar diffusion equation-based model, of an IGBT is proposed. Findings The results of the proposed model are very close to the tested ones. Originality/value A mathematical model for an IGBT considering all free-carrier injection conditions is introduced, and a numerical solution methodology is proposed.

Optimal Control of Vitrifying Polymers Cooling Process to Reduce Residual Stresses

2015 ◽  
Vol 243 ◽  
pp. 23-28
Author(s):  
M.G. Boyarshinov ◽  
Irina N. Boyarshinova
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
Residual Stresses ◽  
Maximum Intensity ◽  
Process Time ◽  
Control Methods ◽  
Operating Characteristics ◽  
Cooling Process ◽  
Optimal Control Methods ◽  
Solution Methodology

This paper’s purpose is analyzing a problem of optimal control of vitrifying polymers cooling process. A solution methodology is suggested targeting at decreasing technological residual stresses, which predetermine major operating characteristics of polymer structures. The criteria function to be minimized is maximum intensity of technological residual stresses under minimum cooling process time. To determine technological residual stresses, a problem of thermoviscoelasticity is solved in finite-elemental formulation. The chosen mathematical model of mechanical behavior of viscoelastic bodies under thermorelaxation transition allows to formulate and to solve the problem of cooling process optimal control. Obtained results show that application of optimal control methods to vitrifying polymers cooling process lead to tenfold decrease of technological residual stresses when compared to an uncontrolled process.

The Elastic Behaviour of Metal Powder Compacts

2007 ◽  
Vol 534-536 ◽  
pp. 325-328
Author(s):  
Jose Manuel Prado
Keyword(s):  
Mathematical Model ◽  
Simple Model ◽  
Elastic Strain ◽  
Elastic Behaviour ◽  
Compression Tests ◽  
Linear Elastic ◽  
Loading And Unloading ◽  
Powder Compacts ◽  
The Mathematical Model ◽  
Different Levels

In this work the elastic behaviour of metallic powder compacts is studied. Cylindrical specimens with different levels of density have been submitted to uniaxial compression tests with loading and unloading cycles. The analysis of the elastic loadings shows a non linear elasticity which can be mathematically represented by means of a potential law. Results are explained by assuming that the total elastic strain is the contribution of two terms one deriving from the hertzian deformation of the contacts among particles and another that takes into account the linear elastic deformation of the powder skeleton. A simple model based in a one pore unit cell is presented to support the mathematical model.

scholarly journals LOAD OPTIMIZATION OF ELASTIC-PLASTIC FRAMES AT SHAKEDOWN/PRISITAIKANČIŲ TAMPRIAI PLASTIŠKŲ RĖMŲ APKROVOS OPTIMIZACIJA

2001 ◽  
Vol 7 (6) ◽  
pp. 433-440
Author(s):  
Valentinas Skaržauskas ◽  
Dovilė Merkevičiūtė ◽  
Juozas Atkočiūnas
Keyword(s):  
Mathematical Model ◽  
Mathematical Programming ◽  
Numerical Experiment ◽  
Objective Function ◽  
Programming Problem ◽  
Optimization Problem ◽  
Load Optimization ◽  
Load Variation ◽  
Residual Displacements ◽  
Non Linear

In this article the theory of mathematical programming is used, composing improved mathematical models of nonlinear problems of frame loading optimization at shakedown and performing its numerical experiment. An elastic perfectly-plastic frame is considered. Frame geometry, material, load application places are considered known. Time independent load variation bounds are variable (history of loading is unknown). Mathematical model of load variation bounds optimization problem includes strength and stiffness constrains. The mentioned optimization load combines two problems. First problem is connected with the distribution of statically admissible moments at shakedown. This is a problem of residual bending moments analysis which is presented in two ways. In the first case it is formulated as a quadratic programming problem, where the objective function is non-linear, but the objective function of load optimization problem remains linear. The problem is solved by iterations, influential matrixes of residual displacements, and stresses are used. In next case, the equations of problem analysis and dependences are presented according to complete equation system of plasticity theory. Then the objective function of optimization problem becomes non-linear and it is solved in single stage. Solving the second problem, we check if it is possible to satisfy frame rigidity constrains, which are inferior or superior limits of residual displacement. This is considered as a linear programming problem. Mathematical model of frame load optimization problem at shakedown was made with the help of non-linear mathematical programming theory. Numerical experiment was realized with Rozen's gradients projecting method and using the penalty function techniques. Mathematical programming complementarity conditions prohibit taking into account the dechargable phenomena in some cross-sections, therefore analysis of residual deformation compatibility equations are performed, using linear mathematical programming.

scholarly journals Optimizing Vehicle Routing for Simultaneous Pick-up and Delivery considering the Reusable Transporting Containers: Case of Convenient Stores

2020 ◽  
Author(s):  
Intaek Gong ◽  
Kyungho Lee ◽  
Jaewon Kim ◽  
Yunhong Min ◽  
Kwang Sup Shin
Keyword(s):  
Mathematical Model ◽  
Vehicle Routing ◽  
Traffic Congestion ◽  
Optimal Algorithm ◽  
Time Windows ◽  
Mathematical Problem ◽  
Transportation Cost ◽  
Business Environment ◽  
Routing Problem ◽  
The Mathematical Model

A lot of previous research have proposed various frameworks and algorithms to optimize routes to reduce the total transportation cost, which accounts for over 70% of overall logistics cost. However, it is very hard to find the cases applied the mathematical models or algorithms to the practical business environment cases, especially daily operating logistics services like convenient stores. Most of previous research have considered the developing an optimal algorithm which can solve the mathematical problem within the practical time while satisfying all constraints such as the capacity of delivery and pick-up, and time windows. For the daily pick-up and delivery service like supporting several convenient stores, it is required to consider the unit transporting container as well as the demand, capacity of trucks, traveling distance and traffic congestion. Especially, the reusable transporting container, trays, should be regarded as the important asset of logistics center. However, if the mathematical model focuses on only satisfying constraints related delivery and not considering the cost of trays, it is often to leave the empty trays on the pick-up points when there is not enough space in the track. In this research, it has been proposed to build the mathematical model for optimizing pick-up and delivery plans by extending the general vehicle routing problem of simultaneous delivery and pickup with time windows while considering left-over cost. With the numerical experiments, it has been proved that the proposed model may reduce the total delivery cost. It may be possible to apply the proposed approach to the various logistics business which uses the reusable transporting container like shipping containers, refrigerating containers, trays, and pallets.

scholarly journals Solving the Multiobjective Fractional Transportation Problem through the Neutrosophic Goal Programming Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
C. Veeramani ◽  
S. A. Edalatpanah ◽  
S. Sharanya
Keyword(s):  
Goal Programming ◽  
Transportation Problem ◽  
Turbine Blades ◽  
Transportation Cost ◽  
Programming Approach ◽  
Wind Turbine Blades ◽  
Real World Problem ◽  
Suggested Technique ◽  
Decision Making Problem ◽  
Solution Methodology

Nowadays, the transportation problem is a multiobjective decision-making problem. It involves deciding to determine the ideal transportation setup that matches the decision maker’s preferences while taking into account competing objectives/criteria such as transportation cost, transportation time, and environmental and social concerns. This study presents a general framework of the multiobjective fractional transportation problem (MOFTP) to deal with such complex scenarios. This paper’s major goal is to propose a solution methodology to solve the MOFTP based on a neutrosophic goal programming (NGP) approach. By obtaining the optimal compromise solution using three memberships, namely, truth membership, indeterminacy membership, and falsity membership, the suggested technique gives a novel insight into solving the MOFTP. A real-world problem such as selling wind turbine blades’ problem and a numerical example are used to demonstrate the efficacy and superiority of the proposed method.

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