Optimal Biomass Transportation Model

The transportation represents a key proportion of the operational cost for the biomass industries worldwide. As biomasses are mainly carried by trucks for parts of the transportation, the focus of this paper is on the transport of treated and untreated biomass (rice husk, empty fruit bunch, and woody biomass) by large, medium and small trucks. The objectives were to formulate biomass transportation model for transporting treated and untreated biomass resources and to obtain optimal result for selecting the best transportation mode. By screening of biomass types, locations for treated and untreated biomass resources and screening of suitable transportation mode used, the important model parameters were obtained and linear programming for minimizing overall transportation costs was formulated. General Algebraic Modelling System (GAMS) software was used to solve the optimization formulations. From the optimization result obtained by using GAMS, large truck was selected to be the best transportation mode for treated, untreated and hybrid biomass since it showed minimal overall transportation cost.

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Greedy approach for solving the capacitated vehicle routing problem of liquefied natural gas distribution to power plants

MATEC Web of Conferences ◽

10.1051/matecconf/201927201040 ◽

2019 ◽

Vol 272 ◽

pp. 01040

Author(s):

A P A Wijharnasir ◽

M A Alghasi ◽

N Pujawan

Keyword(s):

Vehicle Routing Problem ◽

Power Plants ◽

Transportation Cost ◽

Operational Cost ◽

Inventory Cost ◽

Routing Problem ◽

Greedy Approach ◽

Cost Distance ◽

Ship Route

In LNG industries, how to decide the number of ships and their routes for transporting LNG to every demand location efficiently effects the minimization of total operational cost. Therefore, this paper provides a case study in Papua and proposes a model to determine the optimum ship route to transport LNG from an LNG production terminal to thirteen regasification terminals by considering both transportation cost and inventory cost. Distance, power plants demands, transportation cost, and inventory cost were further analyzed by using the greedy approach. In addition, the ship sizes were limited to four alternatives, which were 2500 m3, 7500 m3, 10000 m3, and 23000 m3. The result recommends the utilization of smaller size vessels with more frequent shipments compared to the earlier research on the same case study. It considers that the result will be more adaptable for changing water depth due to changing tides at particular ports.

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D214 Study on log drying method for heat utilization of unutilized woody biomass resources

The Proceedings of the National Symposium on Power and Energy Systems ◽

10.1299/jsmepes.2014.19.311 ◽

2014 ◽

Vol 2014.19 (0) ◽

pp. 311-312

Author(s):

Van Hieu HOANG ◽

Shohei NAGASAKI ◽

Mariko ADACHI ◽

Takaaki WAJIMA ◽

Hideki NAKAGOME

Keyword(s):

Woody Biomass ◽

Drying Method ◽

Heat Utilization ◽

Biomass Resources

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06/01850 Woody biomass resources and conversion in Japan: The current situation and projections to 2010 and 2050

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(06)81856-4 ◽

2006 ◽

Vol 47 (4) ◽

pp. 280-281

Keyword(s):

Woody Biomass ◽

Current Situation ◽

Biomass Resources

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Multi stage Multi-objective Transportation Problem under Uncertainty Environment

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c5370.098319 ◽

2019 ◽

Vol 8 (3) ◽

pp. 4056-4060

Keyword(s):

Weather Condition ◽

Fuzzy Rule ◽

Transportation Cost ◽

Linguistic Variables ◽

Transportation Model ◽

Optimum Result ◽

Multi Objective ◽

Multi Stage ◽

Effective Manner ◽

Uncertainty Environment

In present scenario due to high competition in market, there are lots of pressures on organizations involbs with transportation industry, to provide the service in a better and effective manner. The distribution of products among the customers in systematic manner is not an easy task. Transportation models provide an effective framework to meet these challenges. If the parameters involved with multi-objective transportation model are expressed in terms of fixed parameter then it is not easy to address them in an uncertainty environment, rather it is easy to handle them when they are represented in terms of linguistic variables. It is noticed that, all the objectives of a transportation model are affected by different criteria like route of transportation, weather condition, vehicles used for transportation etc. In the present study a multi-stage transportation model with multiple numbers of objectives is developed with fuzzy relations. Minimization of both transportation cost and transportation time are considered as two different objectives of first stage which are associated with a number of different criteria like deterioration time, fixed charge and mode of transportation. In second stage, another objective i.e quantity of transported amount is considered on the performance basis of objectives of first stage. All these factors considered for this model are fuzzy parameters and are expressed in terms of linguistic variables. The fuzzy rule based transportation model is developed and the solution is obtained by Genetic Algorithm for multi-objective problems (MOGA). The model is presented with a numerical problem and optimum result is discussed

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Modeling of Mono-Commodity Multi-Location Linear Programming Techniques for Determining Optimum Transportation Network of a Manufacturing Industry

International Journal of Research and Review ◽

10.52403/ijrr.20211220 ◽

2021 ◽

Vol 8 (12) ◽

pp. 145-158

Author(s):

ADEDEJI, Kasali Aderinmoye ◽

ZOSU, Segbenu Joseph ◽

DUDUYEMI Oladejo Samuel

Keyword(s):

Linear Programming ◽

Manufacturing Industry ◽

Transportation Network ◽

Transportation Cost ◽

Optimal Transportation ◽

Location Model ◽

Transportation Model ◽

Programming Techniques ◽

Two Phases

This research on Modeling and Application of Mono-Commodity Multi-Location Linear Programming Techniques For Determining Optimum Transportation Network was carried out at a Manufacturing Industry in Lagos, which comprises of two plants, three depots and twenty retailers axis. The model was analyzed using Micro Soft Excel Software. The analysis to determine the optimal transportation network was carried out in two phases by considering numbers of truckload transported and each commodity from plants to depots and depots to retailers and their optimals. It was discovered that the existing practices transportation cost for truckloads moving from plant to retailers is N3,544,000,000,000 and when optimized, cost is N1,932,650,000,000 while considering each product the optimized transportation cost is N1,871,065,369,000. This implies that the transportation network generated considering each product will yield 47.2% gain in profit than existing network. Hence, it is recommended that mono-commodity multi-location transportation network be used. Keywords: [EXCEL Software, Mono-Commodity Multi-Location Model, Transportation Cost, Transportation Model, Transportation Network.].

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Solving Real-Life Problem Using Transportation

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.j1062.0881019 ◽

2019 ◽

Vol 8 (10) ◽

pp. 4284-4287

Keyword(s):

Real Life ◽

Optimal Solution ◽

Transportation Cost ◽

Travel Agency ◽

Optimum Level ◽

Transportation Model ◽

The Real ◽

Maximum Profit ◽

Maximum Value ◽

Real Life Problem

Herewith a methodology is proposed towards obtaining optimum level as solution for the real-life problem using Transportation. This paper is composed for a travel agency company to get maximum profit and also to minimize the transportation cost. In the proposed method maximum value is marked both in row-wise and column-wise for maximization type and minimum valueis marked both in row-wise and column-wise for minimization type and the greatest maximum value is given allocation. Here a New algorithm is used to solve the transportation model to make maximum profit for the Company. This method gives the optimal solution in less iteration.

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Geographic Accessibility towards Primary Health Care in Karawang District

Kesmas National Public Health Journal ◽

10.21109/kesmas.v16i3.4352 ◽

2021 ◽

Vol 16 (3) ◽

Author(s):

Nabila Ramadina ◽

Mulya Nurmansyah Ardisasmita ◽

Budi Sujatmiko

Keyword(s):

Health Care ◽

Primary Health Care ◽

Health Care Services ◽

Transportation Cost ◽

Cross Sectional Study ◽

Cross Sectional ◽

Transportation Mode ◽

Geographic Accessibility ◽

Care Services ◽

Primary Health

Health accessibility refers to the availability of health care services accessible to the community as required. However, the convenience of accessing such services vary throughout regions due to geography. Hence differences in geographic accessibility can be an obstacle to accessing health care. This study characterized the influence of geographic accessibility on primary health care (PHC) in Karawang District. A cross-sectional study was conducted in November 2019 in five sub-districts of Karawang District. Respondents were interviewed using questionnaires to collect geographic (mileage and travel time from respondents’ house to nearest PHC) and transportation (mode of transportation and transportation cost) data. In total, the study involved 513 randomly selected households, of which 11% had far to travel to the PHC, 22% had a long traveling time, and 23% had expensive transportation costs, with motorcycles being the most common means of transport. Therefore, PHCs in several sub-districts in Karawang District are less accessible due to geographic barriers.

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