Solving Transport Problems Research Articles

Modified Approach for Optimization of Real-Life Transportation Problem in Neutrosophic Environment: Suggested Modifications

Singh et al. [1] presented a modified approach for solving transportation problems in neutrosophic environments. They stated that their modified approach for solving transportation problem had addressed the mathematical problems found in Thamaraiselvi and Santhi [2] approaches. But they also stopped to handle the existing problems in Thamaraiselvi and Santhi’s approach. After a deep study of Singh et al.’s method, it is observed that Singh et al. have considered several mathematical incorrect assumptions in their proposed method, and hence it is scientifically incorrect to use Singh et al.’s method and Thamaraiselvi and Santhi’s method in their present forms. This research aims to make the researchers aware of the mathematical incorrect assumptions, considered by Singh et al. in their proposed method as well as to suggest the required modifications in Singh et al.’s method and Thamaraiselvi and Santhi’s method.

Comparative analysis of Microsoft Excel and LPSolve IDE programs on the example of solving transport problems of large dimensions

Comparative analysis of Microsoft Excel and LPSolve IDE programs on the example of solving transport problems of large dimensions

Подход за решаване на транспортни задачи с М-метода

This paper presents an approach to solving transport problems by using the M-Method with optimal planning of freight wagon logistics. This method is applied in an example transport problem for minimizing empty mileage of open and covered freight wagons, considering their interchangeability and through overview of all combinations of interchangeable open and covered wagons in stations with a freight wagon shortage. The paper also presents an approach for probability analysis of two-dimensional discrete distribution (Crosstabs), generated by the SPSS program, including the optimal solutions of the stated problem which have been reached through the M-Method.

Comparative analysis of methods for solving transport problems with optimal planning of the transportation process

Comparative analysis of methods for solving transport problems with optimal planning of the transportation process

A PIONEERING AND COMPREHENSIVE DATABASE OF BALANCED AND UNBALANCED TRANSPORTATION PROBLEMS FOR READY PERFORMANCE EVALUATION OF EXISTING AND NEW METHODS

In this paper, we present a comprehensive database of the data tables of some important transportation problems from literature, and experience with the proposition of new initial basic feasible (IBF) solution methods for the transportation problems. The paper contains a comprehensive database of 140 transportation problems, of which 103 are balanced, 25 are unbalanced and 12 are from research papers. The detailed description of the varying-nature test problems is described, and the optimal solutions of the 140 problems have been obtained by using the TORA software with the modified distribution (MODI) method. The algorithms of three methods: North-West-Corner (NWCM), Least cost (LCM) and Vogel’s approximation (VAM) have been used for IBF solutions. The final optimal results are also quoted for the ready reference of researchers and practitioners. The database of problems and their optimal solutions will be a great aid to researchers and practitioners working with the existing and new methods for solving transportation problems. A pioneering investigation of the performance evaluation of NWCM, LCM and VAM has also been conducted as a benchmark for the similar assessment of other existing and forthcoming IBF and /or optimal solution methods for the transportation problems.

УДОСКОНАЛЕННЯ МЕТОДИЧНОГО ПІДХОДУ ДО ПОБУДОВИ РАЦІОНАЛЬНИХ МАРШРУТІВ ПЕРЕВЕЗЕННЯ ВАНТАЖІВ АВТОТРАНСПОРТОМ

Дослідження присвячене пошуку нових підходів до підвищення ефективності вантажних перевезень на основі аналізу методів та алгоритмів побудови раціональних схем маршрутів. Для проведення дослідження використано методи порівняння, узагальнення з метою визначення особливостей умов реалізації спрощення процесу пошуку раціональних маршрутів перевезення вантажів, а також його вдосконалення, синтезу – при поєднані методу та алгоритму вирішення транспортних задач з розкриттям ролі кожного елемента в системі цілого.
 Проаналізовані теоретико-методичні засади провідних науковців в галузі транспорту щодо вирішення існуючих проблем при доставці вантажів клієнтам. Зазначено, що низка проблем при побудові раціональних схем маршрутів пов’язана з недосконалими та трудомісткими методами вирішення транспортних задач. Аналіз особливостей вантажних перевезень, як найбільш складного процесу при використанні автомобільного транспорту, дозволив розширити перелік, відмітивши особливість, яка відображає використання неефективних та нераціональних схем маршрутів при перевезенні вантажів. У результаті дослідження встановлено, що в сучасних умовах господарювання рядовому менеджеру, що забезпечує побудову раціональних маршрутів, досить складно забезпечити виконання завдання. Цим визначається доцільність використання двофазної оптимізації при розв’язанні транспортних задач, а саме, суміщень при поєднанні методу «Мітли» та алгоритму вирішення задачі комівояжера при використанні MS Excel. Розглянуто приклад використання зазначеного суміщення для умовного автотранспортного підприємства м. Кривий Ріг. Побудовані та визначені характеристики маршрутів руху вантажного автотранспорту.

Review of Monte Carlo methods for particle transport in continuously-varying media

Monte Carlo techniques for solving the Boltzmann neutron transport equation have become increasingly popular in recent years, due to their exact nature and to the increase in computational power. Monte Carlo makes it possible to solve transport problems without discretizing the geometry or energy domain. Current mainstream methods, however, do not allow for media with continuous properties, such as spatially varying cross sections due to density and temperature variations. Being able to perform simulations under such conditions is a desirable feature for a complete Monte Carlo implementation in the contexts of multi-physics and depletion simulations. Several methods can currently be used to conduct transport in materials having non-uniform cross sections. This paper aims to compare some of these methods (substepping, direct sampling, delta tracking, and several delta tracking variants) in a simplified one-dimensional system with spatially varying cross sections, to examine their respective properties. Performance (as measured by the Figure of Merit), robustness, and ease of implementation are considered in evaluating the methods. Such results will help determine which transport methods would be most suitable for implementation in a general-purpose Monte Carlo code.

A comparative study between new proposed Technique (LPAM) and the other existing techniques to Find IBFS for Transportation Problem

Transportation model is a special case of linear programming problem in which the main objective is to transport raw material, or finished products are transported from warehouses to factories or vice-versa, at a total minimum cost. Finding an initial basic feasible solution is the basic requirement to acquire an optimal solution for the transportation problems. In this study, a new technique named (LPAM- Technique) (The Largest penalty and allocate the maximum- technique) is proposed to locate initial basic feasible solution for transportation problems. The performance of the (LPAM) is evaluated and compared with the existing techniques in the literature (NWCM, LCM, VAM, CVAM, iLCM), To clarify the statement, The the applications twenty randomly chosen an available in the literature to Obtain (IBFS) of Transportation Problem. Obtained results show by using this technique we found that (IBFS) of most of the transportation problem very close to optimal solution or same as optimal solution than using the other existing techniques which is discussed in this study, and it is observed that the performance of proposed technique is suitable for solving transportation problems.

Approximate Membership Function Shapes of Solutions to Intuitionistic Fuzzy Transportation Problems

In this paper, proposing a mathematical model with disjunctive constraint system, and providing approximate membership function shapes to the optimal values of the decision variables, we improve the solution approach to transportation problems with trapezoidal fuzzy parameters. We further extend the approach to solving transportation problems with intuitionistic fuzzy parameters; and compare the membership function shapes of the fuzzy solutions obtained by our approach to the fuzzy solutions to full fuzzy transportation problems yielded by approaches found in the literature.

DATA MINING ANALYTICS FUNDAMENTALS AND THEIR APPLICATION IN LOGISTICS

The article describes several basic data mining fundamentals and their application in logistics and it consists of two sections. The first one is a description of different parts of data mining process: preparing the input data, completing the missing data, classification method using k-nearest neighbours algorithm with theoretical examples of usage conducted in open-source software called R and Weka. The second section of the article focuses on theoretical application of data mining methods in logistics, mainly in solving transportation problems and enhancing customer’s satisfaction. This section was strongly influenced by data provided by DHL enterprise report on Big Data. The data used in theoretical examples is of own elaboration.

Cross-docks scheduling with multiple doors using fuzzy approach

One of the most important practices in logistics is Cross-Docking which sets its goals as inventory reduction and customer satisfaction increase. Customers receive goods through docks. Docks are responsible to provide a place for goods before being delivered to the customers. Then, these materials are directly loaded into outbound trucks with little or no storage in between to send to customers in the shortest possible time. This paper is mainly aimed at introducing a mixed integer, non-linear programming model to solve scheduling several cross-docking problems. The proposed model is highly facilitated to allocate the most optimal destinations to storage doors and truck scheduling in docks while selecting the collection and delivery routes. Using optimization approaches at uncertainty conditions is also of great importance. Mathematical programming techniques vividly fail to solve transportation problems that include fuzzy objective function coefficients. A fuzzy multi-objective linear programming model is proposed to solve the transportation decision-making with fuzzy objective function coefficients.

City railways – who are their passengers?

In this paper, the approaches to forecasting of passenger flows for new lines of the city railway are analyzed. The article analyzes the experience gained in designing of Moscow central diameters, in the modeling and analysis of their integration with the Moscow Metro and ground urban passenger transport. The main attention is paid to how modern telecommunication technologies make it possible to measure various movements of mobile subscribers, who are passengers, quite accurately. It is the development of telecommunication technologies that is changing the approaches to solving transport problems. What used to be seen as a goal for most transport tasks and was a forecasting goal has now become raw data and can be accurately measured. The article considers what the analysis of transport flows in a modern city now looks like.

A Modification to Vogel’s Approximation Method to Solve Transportation Problems

Transportation Problem (TP) is singular of the paradigms in the Linear Programming Problems (LPP). The TP in Operations Research represent vastly applied optimization. (TP) has some goals, like reducing transportation costs or reducing transportation time, etc. Whereas meeting both supply level and request level requirements. Transportation problem plays a major role in industry, trade, logistics, etc. To get the most possible profit, organizations are always looking for better ways to reduce cost and improve revenue. To solve the transportation problems, it is always required to find an initial basic feasible solution (IBFS) for get the optimal solution. The Vogel’s Approximation Method (VAM) is the important known traditional methods for obtaining an IBFS of TP. In this work, we introduce a new modification to the VAM for finding an IBFS for the transportation problems almost nearer to the optimal solve. Proposed modification is illustrated with solved numerical examples. A comparison study was also conducted with the results of classic methods. This modified approach most of times give better solution and very nearer to the optimal solve, furthermore, occasionally gives the optimal solve. This method is clear, easy to comprehend.

Nano-electronic Simulation Software (NESS): a flexible nano-device simulation platform

The aim of this paper is to present a flexible and open-source multi-scale simulation software which has been developed by the Device Modelling Group at the University of Glasgow to study the charge transport in contemporary ultra-scaled Nano-CMOS devices. The name of this new simulation environment is Nano-electronic Simulation Software (NESS). Overall NESS is designed to be flexible, easy to use and extendable. Its main two modules are the structure generator and the numerical solvers module. The structure generator creates the geometry of the devices, defines the materials in each region of the simulation domain and includes eventually sources of statistical variability. The charge transport models and corresponding equations are implemented within the numerical solvers module and solved self-consistently with Poisson equation. Currently, NESS contains a drift–diffusion, Kubo–Greenwood, and non-equilibrium Green’s function (NEGF) solvers. The NEGF solver is the most important transport solver in the current version of NESS. Therefore, this paper is primarily focused on the description of the NEGF methodology and theory. It also provides comparison with the rest of the transport solvers implemented in NESS. The NEGF module in NESS can solve transport problems in the ballistic limit or including electron–phonon scattering. It also contains the Flietner model to compute the band-to-band tunneling current in heterostructures with a direct band gap. Both the structure generator and solvers are linked in NESS to supporting modules such as effective mass extractor and materials database. Simulation results are outputted in text or vtk format in order to be easily visualized and analyzed using 2D and 3D plots. The ultimate goal is for NESS to become open-source, flexible and easy to use TCAD simulation environment which can be used by researchers in both academia and industry and will facilitate collaborative software development.

Motivating component in the remote form of employment of the staff

Conditions of innovative development of economy make significant changes in the system of social – labor relations, their new forms appear, which accompany the transition of social – labor relations from collectively – contractual to more individual and socially vulnerable. In this regard, new challenges are emerging for the whole system of regulation of social and labor relations. The most significant form of manifestation of changes in this area of ​​social relations is remote social – labor relations, which focus on providing the ability to perform work responsibilities without being in the workplace due to modern technologies. Compared to our country, telework is well developed in foreign countries. Foreign companies have already experienced the benefits of remote employment: saving time to get to work, solving transport problems, reducing environmental tensions, reducing unemployment, increasing time for family communication and leisure. The concept of remote employment, the main problems of this form of employment and ways of their solution, practical application of it in modern organizations, all advantages and disadvantages of working in a remote format are analyzed. The prospect of further spread of remote employment in the country, methods of motivation of workers working remotely were evaluated. The peculiarities of personnel management with regard to remote employment in organizations were identified and a strategy for remote employment management was proposed, which would allow to understand the problems related to remote work, which management needed to solve: finding the right balance between work and personal life, overcoming isolation at work in place, compensation for lack of personal communication and compensation for lack of employee visibility. Ways to increase the efficiency of work of remote employees, motivate them to work, as well as increase their level of adaptation in the company and involvement in the workforce. Key words: motivation, control, personnel, remote work, flexible work, flexible schedule, remote work, innovation.

On Solving Transportation Problem in Fuzzy Environment Using Ranking Function

On Solving Transportation Problem in Fuzzy Environment Using Ranking Function

Common Restrictions Checking for Heterogeneous Transportation Problem

Transportation costs optimization is very actual problem today because of logistic growth. In common case package type, origin and destination may impose restrictions on the delivery type and vehicle type for transporting. In some cases there may exist two packages, first of which can be delivered by first vehicle type and can’t be delivered by second vehicle type. Otherwise second package can be delivered by second vehicle type and can’t be delivered by first vehicle type. Or in some cases there are several vehicles types in fleet with different capacity and different size or different driver working time, so it is restriction for transport problem. We offer a heuristic algorithm for solving transport problems with heterogeneous vehicle fleet. The algorithm is based on the extension of Clark-Wright method, which is used to solve transport problem.

Modified LCM’S Approximation Algorithm for Solving Transportation Problems

Now a day’s text documents are advancing over internet, e-mails and web pages. As the use of internet is exponentially growing, the need of massive data storage is increasing from time to time. Normally many of the documents contain morphological variables, so stemming which is a preprocessing technique gives a mapping of different morphological variants of words into their base word called the stem. Stemming process is used in information retrieval applications accordingly as a way to improve retrieval performance based on the assumption that terms with the same stem usually have similar meaning. To do stemming operation on bulky documents, we require normally more computation time and power, to cope up with the need to search for a particular word in the data. In this paper, various stemming algorithms are analyzed with the benefits and limitation of the recent stemming methods or approaches. Keywords : - Natural Language Processing Applications, Information Retrieval, Information Retrieval Applications (IRAs), Stemming Approaches DOI: 10.7176/JIEA/10-3-01 Publication date: April 30 th 2020

Geometric Mean Method to Solve Multi Objective Transportation Problem Under Fuzzy Environment

Transportation problem is a very common problem for a businessman. Every businessman wants to reduce cost, time and distance of transportation. There are several methods available to solve the transportation problem with single objective but transportation problems are not always with single objective. To solve transportation problem with more than one objective is a typical task. In this paper we explored a new method to solve multi criteria transportation problem named as Geometric mean method to Solve Multi-objective Transportation Problem Under Fuzzy Environment. We took a problem of transportation with three objectives cost, time and distance. We converted objectives into membership values by using a membership function and then geometric mean of membership values is taken. We also used a procedure to find a pareto optimal solution. Our method gives the better values of objectives than other methods. Two numerical examples are given to illustrate the method comparison with some existing methods is also made.

Effects of Urban Transformation on Transportation Infrastructure: Goztepe Transformation Area Example

Cities are the settlements they form as living spaces of societies and they are not just structures; the same people are born, breathe, grow and thrive. While the cities are growing, their structures are unable to carry the density of the population due to deterioration in time. Urban transformation projects have emerged as a response to this need. However, it is seen that there are some problems and deficiencies when the issue of existing land use and transportation network factors for renewal of the problematic places of the cities is examined in parallel with the changes. If these problems are not prevented, it will not be possible to leave quality, reliable and sustainable cities for years to come. Non-sustainable transportation and land-use decisions in fast-growing urban areas are not effective in solving transportation problems. Point solutions against transportation problems are not permanent in the long term and cause problems after a short period of time. Therefore, the effect of the transformations on the transportation and land use factors are evaluated together. In this study, it is emphasized that the land use and transportation factor should be handled based on Göztepe District of Ba?c?lar district which is in the process of transformation under the law no 6306.