scholarly journals PENERAPAN METODE MODIFIED DISTRIBUTION (MODI) UNTUK OPTIMALISASI BIAYA DISTRIBUSI PRODUK ALAT KESEHATAN

2021 ◽  
Vol 2 (2) ◽  
pp. 166-179
Author(s):  
Windu Alfianti ◽  
Reni Kurnia ◽  
Rizka Oktaviani ◽  
Muchammad Fauzi
Keyword(s):  
Medical Devices ◽  
Approximation Method ◽  
Transport Model ◽  
Optimal Solution ◽  
Initial Solution ◽  
Distribution Method ◽  
Distribution Costs ◽  
Product Demand ◽  
Distribution Process ◽  
Cost Plan

The transportation model is the lowest cost plan determination for a distribution process. This research aims to obtain the pattern of distribution of medical device products at PT X so that the costs for the distribution process become more optimal and the needs of product demand to each city can be met. By using Vogel's Approximation Method (VAM) as a viable initial solution and followed by optimization tests to determine the optimal solution with Modified Distribution Method (MODI). The results showed the initial solution of VAM method obtained cost Rp176,645,930 then Modified Distribution Method (MODI) as the optimal solution obtained optimal transportation costs of Rp176,645,210. Based on the results of calculations that have been done shows the results that the distribution of medical devices in PT. X by implementing a transport model can save on distribution costs

scholarly journals OPTIMALISASI MASALAH TRANSSHIPMENT DENGAN MENGGUNAKAN VOGEL APPROXIMATION METHOD PADA DISTRIBUSI PLASTIK DI PT. SENTOSA PLASTIK MEDAN

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Swandi . Simanjorang ◽  
Faiz . Ahyaningsih
Keyword(s):  
Approximation Method ◽  
Distribution Method ◽  
Stepping Stone ◽  
North West ◽  
Distribution Costs ◽  
Distribution Process ◽  
Calculation Results ◽  
Itu Model ◽  
The Difference ◽  
The Cost

AbstrakPenelitian ini mengkaji hasil model transshipment dari proses pendistribusian barang di PT Sentosa Plastik Medan dengan menggunakan program WinQSB. Selain itu, model transshipment proses pendistribusian barang oleh perusahaan dibandingkan dengan model transshipment yang dihasilkan oleh program Solver.Metode yang digunakan dalam penelitian ini adalah metode dokumentasi, metode wawancara, dan studi pustaka. Data dalam penelitian ini diperoleh dari perusahaan. Adapun uraian dari metode-metode transshipment adalah sebagai berikut: (1) Metode untuk menyusun tabel awal antara lain Metode Sudut Barat Laut atau North West Corner Method (NWC), Metode Biaya Terkecil atau Least Cost Method, Vogell’s Aproximation Method atau VAM. (2) Model pegujian optimalitas algoritma transportasi antara lain Stepping Stone Method; dan Modified Distribution Method atau MODI. Berdasarkan hasil penelitian diperoleh bahwa selisih biaya pendistribusian untuk seluruh produk kain mori dengan menggunakan program WinQSB adalah sebesar Rp. 22.561.250,- lebih kecil dibandingkan hasil perhitungan perusahaan sebesar Rp.35.488.750,- Ini berarti terdapat selisih antara biaya pendistribusian yang menggunakan program WinQSB dengan biaya pendistribusian yang dilakukan oleh perusahaan yaitu sebesar Rp 12.927.500,-. Jadi biaya pendistribusian masih dapat diminimalkan sebesar 36,4%. Akan tetapi, sebelum melakukan tindakan lanjutan. Perusahaan juga perlu mempertimbangkan mengenai aspek dilapangan untuk meminimalkan biaya pendistribusian yang adaKata Kunci: Biaya Pendistribusian, Optimalisasi, WinQSB, dan Transshipment, Vogel Approximation Method (VAM)ABSTRACTThis study examines the results of the model transshipment of goods distribution process in PT Sentosa Plastic Medan using WinQSB program. In addition, the process of distributing goods transshipment models by the company compared to the transshipment models produced by the Solver program. The method used in this research is the method of documentation, interviews, and literature. Data in this study were obtained from the company. The description of the methods of transshipment is as follows: (1) A method for preparing the initial table among other methods Northwest Angle or North West Corner Method (NWC), or Least Least Cost Method Cost Method, Vogell's aproximation Method or VAM. (2) Model test of optimality transport algorithms include Stepping Stone Method; and Modified Distribution Method or MODI. The research showed that the difference in the cost of distribution for all products cloth using WinQSB program is Rp. 22.56125 , - lower than the calculation results of the company for Rp.35.488.750, - This means that there is a difference between the cost of distribution that uses WinQSB program at a cost of distribution conducted by the company in the amount of Rp. 12.9275 -. So the cost of distribution can still be minimized by 36.4%. However, before making any further action. Companies also need to consider the aspect of the field to minimize the cost of existing distribution. Keywords: Distribution Costs, Optimizing, WinQSB, and Transshipment, Vogel Approximation Method (VAM)

scholarly journals PENDISTRIBUSIAN PRODUK DENGAN VOGEL ‘S APPROXIMATION METHOD (VAM) DAN MODIFIED DISTRIBUTION METHOD (MODI) PENDISTRIBUSIAN PRODUK DENGAN VOGEL ‘S (VAM) DAN MODIFIED DISTRIBUTION METHOD (MODI)

2017 ◽  
Author(s):  
Tri Tri Hernawati
Keyword(s):  
Approximation Method ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Initial Solution ◽  
Final Solution ◽  
Distribution Method ◽  
Initial Cost ◽  
Cost Distribution ◽  
Distribution Cost

AbstractThe research is aimed at analyzing the implementation of distribution transportation method and finding out the saving of distribution transportation cost by using Vogel’s Approximation Method and Modified Distribution Method (MODI). The research used Vogel’s Approximation Method as the initial solution and Modified Distribution Method as the final solution to save distribution transportation cost. Implementation of combination, Vogel’s Approximation Method and Modified Distribution Method is a system will be develop to find the results of calculation of the initial cost of distribution, a minimum cost distribution, and allocation of items to be distributed from the origin place to the destination place. Entry data by user is origin place (many place and name of place), destination place (many place and name of place), amount of supply from the each origin, amount of demand from the each destination, and distribution cost from the each origin to the each destination. The result of the research shows minimalizing total distribution cost about 10,7%

Model Transportasi dan Terapannya dalam Optimalisasi Biaya Distribusi Beras Miskin di Kota Makassar oleh Perum Bulog Sub Divre Makassar Tahun 2016

2020 ◽  
Vol 2 (2) ◽  
pp. 126
Author(s):  
Rahmat Syam ◽  
S. Sukarna ◽  
Muh Nahdi Alim Asyhari
Keyword(s):  
Approximation Method ◽  
Transport Model ◽  
Initial Solution ◽  
Balance Model ◽  
Transportation Model ◽  
Stepping Stone ◽  
Model Based

Penelitian ini membahas tentang model transportasi dan terapannya pada distribusi Beras Miskin (Raskin) di Kota Makassar oleh Perum Bulog Sub Divre Makassar. Data distribusi Raskin di Kota Makassar tahun 2016 diformulasikan dengan Model Transportasi. Berdasarkan model tersebut diperoleh keseimbangan model, dan tabel transportasi distribusi Raskin,. Dengan Metode Least Cost (LC) dan Vogel’s Approximation Method (VAM) diperoleh solusi awal yang fisibel. Berdasarkan perhitungan solusi awal yang fisibel diperoleh solusi optimum menggunakan Metode Batu Loncatan (Stepping Stone Method). Selanjutnya disimulasikan menggunakan aplikasi Pom for Windows. Hasil penelitian ini menunjukkan bahwa dengan penerapan Model Transportasi terjadi penghematan biaya distribusi raskin di kota Makassar tahun 2016 sebesar 1,7% dibandingkan hasil perhitungan Perum Bulog Sub Divre Makassar.Kata Kunci: Model Transportasi, Least Cost (LC), Vogel’s Approximation Method (VAM), Metode Batu Loncatan, Distribusi Raskin, This study discusses the transportation model and its application on the stock of Rice Poor (Raskin) in Makassar City by Perum Bulog Sub Divre Makassar. Data is processed by Transport Model. Based on the model is generated a balance model, and export table Raskin distribution,. By method. (LC) and Vogel's Approximation Method (VAM) obtained a feasible initial solution. The method using the stepping stone method (Stepping Stone method). It is then simulated using the Pom for Windows application. The results of this study indicate with the application of Transportation Model. In the year. Year 2016 amounted to 1.7% of the calculation of Perum Bulog Sub Divre Makassar.Keywords: Transportation Model, Least Cost (LC), Vogel’s Approximation Method (VAM), Stepping Stone Method, Distribution Raskin.

scholarly journals PENDISTRIBUSIAN PRODUK DENGAN VOGEL ‘S APPROXIMATION METHOD (VAM) DAN MODIFIED DISTRIBUTION METHOD (MODI)

2018 ◽  
Author(s):  
Tri Tri Hernawati
Keyword(s):  
Approximation Method ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Initial Solution ◽  
Final Solution ◽  
Distribution Method ◽  
Initial Cost ◽  
Cost Distribution ◽  
Distribution Cost

The research is aimed at analyzing the implementation of distribution transportation method and finding out the saving of distribution transportation cost by using Vogel’s Approximation Method and Modified Distribution Method (MODI). The research used Vogel’s Approximation Method as the initial solution and Modified Distribution Method as the final solution to save distribution transportation cost. Implementation of combination, Vogel’s Approximation Method and Modified Distribution Method is a system will be develop to find the results of calculation of the initial cost of distribution, a minimum cost distribution, and allocation of items to be distributed from the origin place to the destination place. Entry data by user is origin place (many place and name of place), destination place (many place and name of place), amount of supply from the each origin, amount of demand from the each destination, and distribution cost from the each origin to the each destination. The result of the research shows minimalizing total distribution cost about 10,7%The research is aimed at analyzing the implementation of distribution transportation method and finding out the saving of distribution transportation cost by using Vogel’s Approximation Method and Modified Distribution Method (MODI). The research used Vogel’s Approximation Method as the initial solution and Modified Distribution Method as the final solution to save distribution transportation cost. Implementation of combination, Vogel’s Approximation Method and Modified Distribution Method is a system will be develop to find the results of calculation of the initial cost of distribution, a minimum cost distribution, and allocation of items to be distributed from the origin place to the destination place. Entry data by user is origin place (many place and name of place), destination place (many place and name of place), amount of supply from the each origin, amount of demand from the each destination, and distribution cost from the each origin to the each destination. The result of the research shows minimalizing total distribution cost about 10,7%

scholarly journals RUSSELL’S APPROXIMATION METHOD DAN IMPROVED VOGEL’S APPROXIMATION METHOD DALAM PENYELESAIAN MASALAH TRANSPORTASI

2019 ◽  
Vol 8 (3) ◽  
pp. 184
Author(s):  
NI PUTU INTAN PUSPA DEWI ◽  
NI KETUT TARI TASTRAWATI ◽  
KARTIKA SARI
Keyword(s):  
Approximation Method ◽  
Transportation Problem ◽  
Bottled Water ◽  
Initial Solution ◽  
Transportation Model ◽  
Distribution Costs ◽  
Optimality Test ◽  
The Cost

Distribution activities in company which related in distribution sometimes have a problems, one of the problems is transportation problem. To solve that problem can be used a transportation model to obtain the distribution route so the cost that come out is more minimum. The aim of this research is to compare the initial solution of RAM and IVAM and to know the distribution route in distribution of bottled water in the CV. Prasarana Fortuna Prima so obtained the minimum distribution costs after optimality test using MODI. The results showed that RAM gave a lower initial solution than IVAM and the initial solution of RAM was optimum after optimality test using MODI with a distribution routes is from depo Klungkung to Toko Bintang, Toko Subur, Toko Cahaya Melati, Toko Mawar Sari, and Coco Mart Ubud, from depo Kapal to CV. Sumber Jaya, Toko Sol Mandala, and Toko Kayana, from depo Mahendradatta to Toko Sinar Wangi and Toko Aris.

scholarly journals A New Approach for Finding the Initial Solution of the Unbalanced Transportation Problem

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Qazi Shoeb Ahmad
Keyword(s):  
Approximation Method ◽  
Transportation Problem ◽  
Optimal Solution ◽  
Initial Solution ◽  
New Method ◽  
New Approach ◽  
Cost Matrix ◽  
The Cost

A transportation problem deals with two different problems balanced transportation problem or unbalanced transportation problem. This paper points out how Goyal’s modification of Vogel’s approximation method for the unbalanced transportation problem can be improved by subtracting or adding suitable constants to the cost matrix, rows and columns of the cost matrix. In this paper, a new method is proposed for solving unbalanced transportation problem which gives optimal or very near to optimal solution.

scholarly journals Carbon Emission Reduction of Apparel Material Distribution Based on Multi-Objective Genetic Algorithm (NSGA-II)

2019 ◽  
Vol 11 (9) ◽  
pp. 2571
Author(s):  
Xujing Zhang ◽  
Lichuan Wang ◽  
Yan Chen
Keyword(s):  
Genetic Algorithm ◽  
Carbon Emissions ◽  
Optimal Solution ◽  
Material Distribution ◽  
Low Carbon ◽  
Nsga Ii ◽  
Management Objectives ◽  
Multi Objective Genetic Algorithm ◽  
Distribution Process ◽  
The Cost

Low-carbon production has become one of the top management objectives for every industry. In garment manufacturing, the material distribution process always generates high carbon emissions. In order to reduce carbon emissions and the number of operators to meet enterprises’ requirements to control the cost of production and protect the environment, the paths of material distribution were analyzed to find the optimal solution. In this paper, the model of material distribution to obtain minimum carbon emissions and vehicles (operators) was established to optimize the multi-target management in three different production lines (multi-line, U-shape two-line, and U-shape three-line), while the workstations were organized in three ways: in the order of processes, in the type of machines, and in the components of garment. The NSGA-II algorithm (non-dominated sorting genetic algorithm-II) was applied to obtain the results of this model. The feasibility of the model and algorithm was verified by the practice of men’s shirts manufacture. It could be found that material distribution of multi-line layout produced the least carbon emissions when the machines were arranged in the group of type.

scholarly journals Optimum Design of Ship Cabin Equipment Layout Based on SLP Method and Genetic Algorithm

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Jinghua Li ◽  
Hui Guo ◽  
Shichao Zhang ◽  
Xiaoyuan Wu ◽  
Liuling Shi
Keyword(s):  
Genetic Algorithm ◽  
Design Method ◽  
Integrated Design ◽  
Optimal Solution ◽  
Initial Solution ◽  
Analytic Hierarchy ◽  
Problem Model ◽  
Actual Design ◽  
Electromechanical Equipment ◽  
Almost All

The engine room is the heart of a ship, and almost all of the main electromechanical equipment that supports the work on board can be found here. Finding a way to arrange the equipment in a small cabin space is an essential factor in the design and construction of a ship. However, in existing research, when an intelligent algorithm is used to optimize the design of a cabin, the established mathematical model is not comprehensive and the solution has not been evaluated. The optimal solution obtained is not feasible for the actual design of a ship. This can lead to unnecessary redesign work, which seriously affects design efficiency and increases design costs. In order to solve the above problems, this paper innovatively refers to a Systematic Layout Planning (SLP) method (normally applied to the layout of plant equipment) to the cabin equipment layout issue. The SLP method is used to quantitatively analyze the adjacency and logistics relationship between devices, and the mutual integration relationship between devices is obtained so that a preliminary layout scheme can be retrieved. The problem model is constructed by considering various factors such as the comprehensive relationship between the equipment and the stability of the cabin, and the corresponding objective function and constraint function are established to further design the variables, operators, and steps of the genetic algorithm. The initial solution obtained from the SLP method is used as part of an initial solution to the genetic algorithm, and the genetic algorithm is used to optimize the problem. Finally, the Analytic Hierarchy Process (AHP) is used to evaluate and optimize several groups of better schemes obtained by running multiple genetic algorithms and select the better schemes. The experimental design proves that the integrated design method has certain feasibility and superiority.

EXPERIMENTAL ANALYSIS OF SOME VARIANTS OF VOGEL'S APPROXIMATION METHOD

2004 ◽  
Vol 21 (04) ◽  
pp. 447-462 ◽  
Author(s):  
M. MATHIRAJAN ◽  
B. MEENAKSHI
Keyword(s):  
Approximation Method ◽  
Opportunity Cost ◽  
Optimal Solution ◽  
Efficient Solutions ◽  
Transportation Problems ◽  
Cpu Time ◽  
Problem Instances ◽  
Time Required ◽  
The Military

This paper presents a variant of Vogel's approximation method (VAM) for transportation problems. The importance of determining efficient solutions for large sized transportation problems is borne out by many practical problems in industries, the military, etc. With this motivation, a few variants of VAM incorporating the total opportunity cost (TOC) concept were investigated to obtain fast and efficient solutions. Computational experiments were carried out to evaluate these variants of VAM. The quality of solutions indicates that the basic version of the VAM coupled with total opportunity cost (called the VAM–TOC) yields a very efficient initial solution. In these experiments, on an average, about 20% of the time the VAM–TOC approach yielded the optimal solution and about 80% of the time it yielded a solution very close to optimal (0.5% loss of optimality). The CPU time required for the problem instances tested was very small (on an average, less than 10 s on a 200 MHz Pentium machine with 64 MB RAM).

scholarly journals Optimasi Jumlah Produksi dan Biaya Distribusi UMKM Semprong Amoundy Menggunakan Metode Simpleks dan Algoritma Greedy

2021 ◽  
Vol 5 (1) ◽  
pp. 9
Author(s):  
Resa Nofatiyassari ◽  
Rianita Puspa Sari
Keyword(s):  
Travelling Salesman Problem ◽  
Optimal Solution ◽  
Production Optimization ◽  
Production Costs ◽  
Travelling Salesman ◽  
Optimal Amount ◽  
Distribution Costs ◽  
House Production ◽  
Distribution Cost ◽  
The Greedy Algorithm

Production optimization must be considered in order to get the optimal amount of production, which is related to company profit. In addition, the distribution route that is not optimal will also cause production costs to expand. These two things are the main problems faced by Semprong Amoundy MSMEs that have not paid attention to optimization of production and optimization of distribution routes. The purpose of this research is to find the optimal solution of the number and type of semprong production to maximize the income of Amoundy MSMEs, and to find a solution for the shortest distribution route to minimize distribution costs of semprong products. The method used to solve this problem is Simplex Method and Travelling Salesman Problem with the Greedy Algorithm approach. The research resulted the decision that Amoundy MSMEs had to produce 18 boxes of large packaged semprong every day to generate maximum income. The distribution route that must be taken to minimize distribution costs is Amoundy House Production – Bontot Delajaya Shop – Erik Shop – Denpasar Shop – Aneka Shop – Oleh-oleh Karawang Outlet – Amoundy House Production, estimated distribution cost of Rp. 20.120,-.Optimasi produksi perlu diperhatikan agar didapatkan jumlah produksi yang optimal, yang mana hal ini akan berhubungan dengan profit perusahaan. Selain itu rute distribusi yang belum optimal juga akan menyebabkan pembengkakan biaya produksi. Kedua hal ini merupakan masalah utama yang dihadapi oleh UMKM Semprong Amoundy yang belum memperhatikan optimasi produksi dan optimasi rute distribusi. Tujuan dilakukannya penelitian ini yaitu untuk mencari solusi optimal dari jumlah dan jenis produksi semprong untuk memaksimalkan pendapatan UMKM Amoundy, serta mencari solusi rute distribusi terpendek untuk meminimalkan biaya pendistribusian produk semprong. Metode yang digunakan untuk adalah Metode simpleks dan  Travelling Salesman Problem dengan pendekatan algoritma greedy. Penelitian menghasilkan keputusan bahwa UMKM Amoundy harus memproduksi 18 box kue semprong kemasan besar setiap hari untuk menghasilkan pendapatan maksimal. Rute distribusi yang harus ditempuh untuk meminimalkan biaya distribusi yaitu Rumah Produksi Amoundy – Toko Bontot Delajaya – Toko Erik – Toko Denpasar – Toko Aneka – Outlet Oleh-oleh Karawang – Rumah Produksi Amoundy dengan taksiran biaya distribusi sebesar Rp. 20.120,-.

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