TRANSPORTATION OPTIMIZATION MODEL USING THE DISTANCE MATRIX: A CASE OF CEMENT DISTRIBUTION FROM SELECTED COMPANIES TO DISTRIBUTION CENTERS IN EBONYI STATE

2021 ◽  
Vol 5 (2) ◽  
pp. 85-88
Author(s):  
Emmanuel Eneojo DANIEL ◽  
Benard ALECHENU ◽  
Mustapha Umar ADAMU ◽  
Gambo YAKUBU
Keyword(s):  
Optimization Model ◽  
Transportation Cost ◽  
Distance Matrix ◽  
Cement Industry ◽  
Distribution Centers ◽  
Port Harcourt ◽  
Transportation Distance ◽  
Cement Distribution ◽  
The Cost ◽  
Transportation Optimization

Ascertaining an optimal cement distribution plan for cement companies in Nigeria has remained a challenge. The absence or fluctuation of data for estimating the cost of transporting cement from each source to each distribution center is a big stumbling block whenever modeling attempts are being made via transportation algorithms. This work has succeeded in removing these challenges by providing a Transportation Optimization Model for cement distribution using transportation Distance Matrix instead of transportation Cost Matrix. This research seeks to improve supply in the Nigerian cement industry. Three selected factories (Gboko, Port-Harcourt and Calabar) and four major distribution centers (Abakaliki, Onueke, Ohaozara and Afikpo) in Ebonyi state were considered for this work. The result of the findings using the Vogel Approximation Method, minimized the total transportation distance and by implication the total transportation costs.

scholarly journals Construction of the Optimization Model of Cargo Transport Network

2021 ◽  
Vol 261 ◽  
pp. 03013
Author(s):  
Yanyan Kong ◽  
Benfang Tian ◽  
Qingyang Wang ◽  
Donghui Liu ◽  
Yunfei Gao ◽  
...  
Keyword(s):  
Optimization Model ◽  
High Efficiency ◽  
Transportation Network ◽  
Transportation Cost ◽  
Circulation System ◽  
Time Cost ◽  
Transportation Modes ◽  
Consumption Cost ◽  
The Cost ◽  
In Transit

The transportation is gradually integrated into the circulation system of bulk goods, and developing and growing. Transportation has the advantages of high efficiency, high quality and green environment, In time, efficiency and cost than the traditional bulk transport has certain advantages. This paper analyzes the cost of logistics transportation network, which mainly includes transportation cost in transit, transit cost, time cost of cargo transportation and special cost. This paper discusses in detail the transportation cost, transit cost, time cost and carbon consumption cost of different transportation modes in the process of “scattered transformation”, and constructs the optimization model of” scattered transformation “transportation network with the least comprehensive transportation cost including the above costs.

scholarly journals Optimization Model and Algorithm of Empty Pallets Dispatching under the Time-Space Network of Express Shipment

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Kang Zhou ◽  
Shiwei He ◽  
Rui Song ◽  
Xiaole Guo ◽  
Kaiming Li
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Clonal Selection ◽  
Transportation Cost ◽  
Transport Cost ◽  
Utilization Rate ◽  
Time Requirement ◽  
Total Cost ◽  
Time Space ◽  
The Cost

Relying on the express freight network, the dispatching of empty pallets based on the pallet pool mode is studied to reuse pallets with the minimum transport cost, enhance the pallet utilization rate, reduce the waste of resources, and save the cost of logistics. Considering the influence of transport efficiency for different modes in transportation process, differences of transportation cost, carbon emissions, and transportation timeliness of demand points required, an optimization model is constructed. The objective of the model is to minimize the total cost including transportation cost, inventory cost, lease cost, and loss cost. According to the structural characteristics of the model, genetic algorithm and improved cloud clonal selection operation is used to solve the model. Finally, the validity and rationality of the optimization model are verified by a case study. The result shows that the total dispatching cost of considering time requirement is 1.8 times the cost without considering the time requirement, respectively, both less than the total cost of pallets leasing. Moreover, when there are 3 supply points and 2 demand points and the number of iterations is 100, after the algorithms are run for 30 times, the worst values are 9305 and 8317 for genetic algorithm and the improved cloud clonal selection operation, respectively. Therefore, the efficiency of the improved cloud clonal selection operation is higher than genetic algorithm.

scholarly journals IMPLEMENTASI MODEL TRANSPORTASI DISTRIBUSI PRODUK VAKSIN HEPATITIS B MENGGUNAKAN METODE LEAST COST DAN MODIFIED DISTRIBUTION

2021 ◽  
Vol 2 (2) ◽  
pp. 180-193
Author(s):  
Resa Lestari ◽  
Thyar Romadhon ◽  
Muchammad Fauzi
Keyword(s):  
Hepatitis B ◽  
Optimization Model ◽  
Transportation Cost ◽  
Hepatitis B Vaccine ◽  
Initial Solution ◽  
Transportation Costs ◽  
Distribution Method ◽  
The Cost ◽  
Vaccine Distribution ◽  
Cost Of Transportation

The transportation method is a method related to optimization model used to minimize the cost of transportation distribution. Distribution of products to various regions requires transportation costs are not small, it requires good planning in order for the availability of goods can be met. The purpose of this study, applying the transportation cost of hepatitis B vaccine distribution from PT. XYZ by using Least Cost Method as the initial solution and Modified Distribution Method (MODI) to optimize so that companies can know the cost of optimal vaccine distribution. The results showed the implementation of transportation model by PT. XYZ with the initial solution using the Least Cost Method obtained the cost of transportation distribution of Rp 45,874,100. then after the optimization of costs by using Modified distribution method the cost of transportation distribution becomes more optimal and the minimization of costs obtained to be Rp 45,767,100.

scholarly journals Minimizing the Cost of Transporting Goods Produced in an Integrated Foods Company.

2015 ◽  
Vol 6 ◽  
pp. 106-111
Author(s):  
M M Kembe ◽  
A R Kimbir ◽  
E M Ogbuagu
Keyword(s):  
Optimal Solution ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Distribution Centers ◽  
Net Profit ◽  
Soya Oil ◽  
Average Quantity ◽  
Or Organization ◽  
The Cost ◽  
Transportation Schedule

The transportation cost of goods in any company or organization is a pivotal element in determining the total cost of production and also the net profit that will be made. The main aim of this study is to minimize the cost of transporting goods produced at Grand Cereals Limited, Jos, which is reducing the cost of transportation from the major plant where the goods are produced to the various distribution centers. Data was collected on the average quantity of Brabusco Maize Flour (10 kg), Grand Pure Soya Oil (10 litres), Vita Chicks Pelletized Feeds (25 kg, 9 mm) and Royal Layer Concentrate Feeds (25 kg) produced monthly at the Jos plant, the average quantity demanded by major distributors across the country (Yola, Dutse, Minna, Abuja, Aba, Onitsha, Calabar and Ikeja) and the cost of transporting them. The Vogel's Approximation Method of the TORA Optimization System Software was used in solving the formulated transportation problem, and an optimal solution of N3,427,821.00 was obtained, which reduced the monthly transportation cost by N332,179.00. Furthermore, sensitivity analysis was carried out on the parameters after the optimal solution was obtained, which shows that the optimal solution is strongly sensitive to changes in the problem parameters. It was concluded that this work has reduced the transportation cost of the company and therefore recommended to the management of the company for adoption in planning their transportation schedule at a minimum cost.

OPTIMAL FEASIBLE SOLUTIONS TO A ROAD FREIGHT TRANSPORTATION PROBLEM

2020 ◽  
Vol 5 (1) ◽  
pp. 456
Author(s):  
Tolulope Latunde ◽  
Joseph Oluwaseun Richard ◽  
Opeyemi Odunayo Esan ◽  
Damilola Deborah Dare
Keyword(s):  
Transportation Problem ◽  
Optimal Solution ◽  
Transportation Cost ◽  
North West ◽  
Life Problems ◽  
Basic Feasible Solutions ◽  
Feasible Solutions ◽  
Road Freight Transportation ◽  
The Cost ◽  
Cost Of Transportation

For twenty decades, there is a visible ever forward advancement in the technology of mobility, vehicles and transportation system in general. However, there is no "cure-all" remedy ideal enough to solve all life problems but mathematics has proven that if the problem can be determined, it is most likely solvable. New methods and applications will keep coming to making sure that life problems will be solved faster and easier. This study is to adopt a mathematical transportation problem in the Coca-Cola company aiming to help the logistics department manager of the Asejire and Ikeja plant to decide on how to distribute demand by the customers and at the same time, minimize the cost of transportation. Here, different algorithms are used and compared to generate an optimal solution, namely; North West Corner Method (NWC), Least Cost Method (LCM) and Vogel’s Approximation Method (VAM). The transportation model type in this work is the Linear Programming as the problems are represented in tables and results are compared with the result obtained on Maple 18 software. The study shows various ways in which the initial basic feasible solutions to the problem can be obtained where the best method that saves the highest percentage of transportation cost with for this problem is the NWC. The NWC produces the optimal transportation cost which is 517,040 units.

The estimated healthcare cost of diabetic retinopathy in Indonesia and its projection for 2025

2019 ◽  
Vol 104 (4) ◽  
pp. 487-492 ◽  
Author(s):  
Muhammad Bayu Sasongko ◽  
Firman Setya Wardhana ◽  
Gandhi Anandika Febryanto ◽  
Angela Nurini Agni ◽  
Supanji Supanji ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Laser Treatment ◽  
Healthcare Cost ◽  
Cost Of Illness ◽  
Public Health Intervention ◽  
Transportation Cost ◽  
Population Based ◽  
State Budget ◽  
Illness Model ◽  
The Cost

PurposeTo estimate the total healthcare cost associated with diabetic retinopathy (DR) in type 2 diabetes in Indonesia and its projection for 2025.MethodsA prevalence-based cost-of-illness model was constructed from previous population-based DR study. Projection for 2025 was derived from estimated diabetes population in 2025. Direct treatment costs of DR were estimated from the perspective of healthcare. Patient perspective costs were obtained from thorough interview including only transportation cost and lost of working days related to treatment. We developed four cost-of-illness models according to DR severity level, DR without necessary treatment, needing laser treatment, laser +intravitreal (IVT) injection and laser + IVT +vitrectomy. All costs were estimated in 2017 US$.ResultsThe healthcare costs of DR in Indonesia were estimated to be $2.4 billion in 2017 and $8.9 billion in 2025. The total cost in 2017 consisted of the cost for no DR and mild–moderate non-proliferative DR (NPDR) requiring eye screening ($25.9 million), severe NPDR or proliferative DR (PDR) requiring laser treatment ($0.25 billion), severe NPDR or PDR requiring both laser and IVT injection ($1.75 billion) and advance level of PDR requiring vitrectomy ($0.44 billion).ConclusionsThe estimated healthcare cost of DR in Indonesia in 2017 was considerably high, nearly 2% of the 2017 national state budget, and projected to increase significantly to more than threefold in 2025. The highest cost may incur for DR requiring both laser and IVT injection. Therefore, public health intervention to delay or prevent severe DR may substantially reduce the healthcare cost of DR in Indonesia.

The Optimization Model of Wind Power and Thermal Power Jointly Run under the TOU Price

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Unit Commitment ◽  
Thermal Power ◽  
Peak Load ◽  
Electricity Demand ◽  
Environmental Benefits ◽  
Power Company ◽  
The Cost ◽  
Pollution Emissions

In order to be able to absorb the abandoned wind, increasing wind-connect amount, the paper study the way of wind power, thermal power joint run and puts forward wind power, thermal power joint run optimization model based on the energy-saving generation dispatching way under the environment of TOU price and the target of minimizing the cost of coal-fired cost, unit commitment and pollution emissions. The numerical example finds, the TOU price can realize the goal of peak load shifting, increasing the electricity demand in the low load and reducing electricity demand in the peak load. The model can increase the amount of wind-connect grid, absorb the abandoned wind, reduce the use of coal-fired units under the environment, increase the average electricity sales price and profit of Power Company. Therefore, the model has significant economical environmental benefits

scholarly journals DAMPAK PERUBAHAN HARGA BAHAN BAKAR MINYAK (BBM) TERHADAP NILAI TUKAR PETANI (NTP) DI PROVINSI SULAWESI UTARA

2017 ◽  
Vol 13 (2A) ◽  
pp. 91
Author(s):  
Muhammad R. Ipango ◽  
Eyverson ., Ruauw ◽  
Nootje M. Benu
Keyword(s):  
Exchange Rate ◽  
Agricultural Production ◽  
Secondary Data ◽  
Transportation Cost ◽  
Fuel Oil ◽  
Fuel Price ◽  
Descriptive Research ◽  
North Sulawesi ◽  
The Cost ◽  
The Impact

This study aims to determine the impact of changes in increasing fuel price on Farmers Exchange Rate (NTP) in North Sulawesi Province. This study uses secondary data, mainly from the Central Bureau of Statistics (BPS) of North Sulawesi. Data collection was conducted for four months, from December 2016 until April 2017. The data used in this research is data from 2013 until 2016. The research method used in this research is descriptive research. The results showed that with the increase of Fuel Oil price is one of the factors that influence the Farmer's Farmer's Exchange Rate (NTP) as a whole by increasing the cost of household consumption, agricultural production cost, transportation cost, and transportation cost

scholarly journals Mathematical modeling for optimizing the blood supply chain network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amir Rahimzadeh Dehaghani ◽  
Muhammad Nawaz ◽  
Rohullah Sultanie ◽  
Tawiah Kwatekwei Quartey-Papafio
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Supply Chain Network ◽  
Distribution Centers ◽  
Nsga Ii ◽  
Content Type ◽  
Supply Chain Networks ◽  
Multi Objective ◽  
Blood Supply Chain ◽  
The Cost

PurposeThis research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.Design/methodology/approachSince the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of the previous research, there are a few pieces of research in the blood supply chain in the field of design queue models and there were few works that tried to use these concepts for designing the blood supply chain networks. Also, in former research, the uncertainty in the number of donors, and also the importance of blood donors has not been considered.FindingsA novel mathematical model guided by the theory of linear programming has been proposed that can help health-care administrators in optimizing the blood supply chain networks.Originality/valueBy building upon solid literature and theory, the current study proposes a novel model for improving the supply chain of blood.

scholarly journals Robust Design of Relief Distribution Networks Considering Uncertainty

2021 ◽  
Vol 13 (16) ◽  
pp. 9281
Author(s):  
Moddassir Khan Nayeem ◽  
Gyu M. Lee
Keyword(s):  
Disaster Response ◽  
Transportation Cost ◽  
Distribution Networks ◽  
Vital Role ◽  
Decision Makers ◽  
Distribution Centers ◽  
Proposed Model ◽  
Relief Distribution ◽  
Secondary Disasters ◽  
Post Disaster

In the post-disaster response phase, an efficient relief distribution strategy plays a vital role in alleviating suffering in disaster-stricken areas, which sometimes becomes challenging in humanitarian logistics. Most governments pre-located the relief goods at the pre-determined warehouses against possible disasters. Those goods must be shipped to the relief distribution centers (RDCs) to be further distributed to the victims in impacted areas upon the disasters. Secondary disasters can occur due to the first disaster and can occur relatively close in time and location, resulting in more suffering and making the relief distribution activities more challenging. The needs of additional RDCs must be determined as well in response to the secondary disasters. A robust optimization model is proposed to hedge against uncertainties in RDCs’ capacity and relief demand. Its objective is to minimize the sum of transportation cost, additional RDC cost, and shortage of commodities. The computational results are given to demonstrate the effectiveness of the proposed model. The sensitivity analysis gives an insight to the decision-makers.

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