scholarly journals Penentuan Rute Distribusi Suku Cadang Kendaraan Bermotor dalam Meminimalkan Biaya Transportasi (Studi Kasus: PT. Inti Polymetal Karawang)

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Ade Momon ◽  
Damara Widi Ardiatma
Keyword(s):  
Distribution System ◽  
Matrix Method ◽  
Cost Savings ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Nearest Neighbors ◽  
Product Distribution ◽  
Planning And Scheduling ◽  
Distribution Process ◽  
A Company

The goal of the distribution system is to deliver the product promptly, quickly and generate the minimum cost. Therefore, the development of distribution system is very important because it can support the growth and development of the company. This study aims to get the route of delivery of the most appropriate and optimal products and get transportation cost savings. PT. IPM is a company engaged in the production of automotive. The problems faced by PT. IPM is the absence of good product distribution planning and scheduling distribution process is considered not maximal. This is due to the number of routes are too many, the distance is too far delivery, the limited means of conveyance and utilization of transport space less than the maximum and the high cost of transportation. To solve the problem of PT. IPM then needed the best method, that is Saving Matrix method which is used to determine product distribution route to the customer based on the capacity of conveyance used and Nearest Neighbors method for route ordering. From the result of mathematical calculation with Saving Matrix method and algorithm with Nearest Neighbors method obtained 49 best routes for PT. IPM. The distance to be taken is as far as 6,010 kilometers with transportation cost of Rp. 46,630,527. The resulting distance saving is 22% (1,690.9 km), while the transportation cost savings that occur is 38% or Rp. 28,494,021.

scholarly journals PENENTUAN RUTE DISTRIBUSI PALLET MESH MENGGUNAKAN METODE SAVING MATRIX (STUDI KASUS : PT. MMM)

2021 ◽  
Vol 5 (1) ◽  
pp. 01-09
Author(s):  
Fery Darus Nasution (Universitas Singaperbangsa) ◽  
Ade Momon S (Universitas Singaperbangsa) ◽  
Risma Fitriani (Universitas Singaperbangsa)
Keyword(s):  
Matrix Method ◽  
Nearest Neighbor ◽  
Cost Savings ◽  
Transportation Cost ◽  
Product Distribution ◽  
Initial Distribution ◽  
Transportation Costs ◽  
Initial Cost ◽  
Efficient Route ◽  
Cost Of Transportation

AbstractDistribution of products from the company's warehouse PT. MMM to consumers so far the company only uses estimates of consumers which will be passed in one shipment only by looking at the number of requests without considering the shipping routes and distance from the warehouse to the location of the consumer. This study aims to determine an effective shipping route using the saving matrix and nearest neighbor methods then find out distance savings and transportation cost savings. Comparison of the product distribution routes of PT. MMM after using the saving matrix method and the nearest neighbor method results in an effective and efficient route where the initial distribution route is 40 routes into 7 routes for 7 days of product distribution to consumers. The saving matrix method is applied. shows a reduction in the distance of the original shipment of 1,673.6 Km to 810.7 Km, thus obtained a savings of a distance of 862.9 Km. As well as a significant reduction in transportation costs where the initial cost of transportation of Rp. 4,478,448.- dropped to Rp. 3,675,951.-, so the company can save on transportation costs by Rp. 802,497.-.AbstrakRute pendistribusian produk dari gudang perusahaan PT. MMM  ke para konsumen  selama ini perusahaan hanya menggunakan perkiraan konsumen mana yang akan dilalui dalam satu kali pengiriman, yaitu hanya dengan melihat jumlah permintaan tanpa mempertimbangkan rute pengiriman dan jarak tempuh dari gudang ke lokasi konsumen. Penelitian ini bertujuan untuk menentukan rute pengiriman yang efektif menggunakan metode saving matrix dan nearest neighbor, kemudian mengetahui penghematan jarak serta penghematan biaya transportasi. Perbandingan rute distribusi produk PT. MMM dengan menggunakan metode saving matrix dan metode nearest neighbor menghasilkan rute yang efektif dan efisien dimana rute awal distribusi sebanyak 40 rute menjadi 7 rute untuk 7 hari pendistribusian produk ke konsumen. Dengan diterapkannya metode saving matrix menunjukan penurunan jarak tempuh pengiriman yang semula 1.673,6 Km menjadi 810,7 Km, dengan demikian didapatkan penghematan jarak sebesar 862,9 Km. Serta menurunkan biaya transportasi yang signifikan dimana biaya awal transportasi sebesar Rp. 4.478.448.- turun menjadi Rp. 3.675.951.-, sehingga perusahaan dapat menghemat biaya transportasi sebesar Rp. 802.497

scholarly journals PENERAPAN KONSEP CROSSDOCKING UNTUK MENURUNKAN PERSEDIAAN DI PT. COCA COLA DISTRIBUSI MALANG

2010 ◽  
Vol 4 (2) ◽  
pp. 30
Author(s):  
. Mubin
Keyword(s):  
Distribution System ◽  
Transportation Cost ◽  
System Model ◽  
Process Scheduling ◽  
Storage Process ◽  
Safety Stock ◽  
Device Model ◽  
Model Distribution ◽  
Distribution Process ◽  
Final Consumer

This Final duty produce design model distribution system for the finished of problems of product distibution stream. Method which used in system model is method of Crossdocking. Crossdocking used as by method to schedule delivery of product. Ther€ is two step scheduling of delivery, first of scheduling of delivery of factory Sales Center and both scheduling of shipping ofsales Center - outlet. Crossdocking repr€sent distribution melhod as a mean to minimize of is expense of supply, Crossdocking applied by functioned Sales Centar as facility of Crossdock, where at its distribution process of product sent from factory to outlet pass Sales Center without passing inventory storage process. Scheduling of first phase cover amounl, time, target of delivery, and used vehicle. By the end of this system device done by calculation of safety stock as anticipation to avoid stock out to demand of final consumer. Of device model this Crossdockingc an be yielded decrease of inventoryl evel in Sales Center, and decrease of transportation cost from factory to Sales Center.

scholarly journals Optimasi OPTIMASI BIAYA TRANSPORTASI PADA UKM DI KOTA BATAM

2021 ◽  
Vol 9 (1) ◽  
pp. 1-19
Author(s):  
Welly Sugianto ◽  
Elva Susanti
Keyword(s):  
Sensitivity Analysis ◽  
Objective Function ◽  
Approximation Method ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Product Distribution ◽  
Mathematical Form ◽  
Total Production ◽  
Calculation Results ◽  
Iteration Methods

This research was conducted at UKM Jovelyn in Batam city. Jovelyn's UKM produces various kinds of cakes and is marketed in markets in Batam City. The UKM opened 4 branches and marketed its products to 7 markets in the city of Batam. Product distribution is still random and not properly regulated. This resulted in a very large transportation cost, up to 1/3 of the total production cost. This shows that product transportation is still not carried out effectively and efficiently. The transportation problem is converted into a mathematical form so that the problem can be solved by the transportation method. The transportation method aims to minimize the objective function which is a function of transportation costs. The transportation method is basically the same as the linear program where at each iteration a selection is made to enter the basic variabel and leave the basic variabel. There are several iteration methods, namely the northwest corner method, minimum cost method, genetic algorithm, Vogel's approximation method, minimum row method, Russell's approximation method and column minimum method. Previous research has shown that the Vogel's approximation method, and Russell's approximation method are more efficient and accurate. This study uses both methods and a sensitivity analysis is performed to optimize the calculation results. The sensitivity analysis aims to determine the extent to which the objective function constants and the constraint function constants can change Keywords: Transportation, Sensitivity, SME  

scholarly journals PERENCANAAN DAN PENJADWALAN DISTRIBUSI USAHAUSAHA KONVEKSI DARI IKM DM MENGGUNAKAN METODE DISTRIBUTION RESOURCE PLANNING

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Syarif Hidayat ◽  
Devi Utami Agustini ◽  
Nunung Nurhasanah ◽  
Ajeng Putri
Keyword(s):  
Distribution System ◽  
Planning Process ◽  
Resource Planning ◽  
Time Limit ◽  
Free Markets ◽  
Planning And Scheduling ◽  
The Face ◽  
A Company

<p>In the face of free markets in Asia that will occur by 2015, many companies are<br />working to improve and enhance all aspects of its business. One improvement in terms of<br />the distribution system. IKM DM is a company engaged in the business of producing<br />apparel office for women. IKM DM does not have a location for the manufacture of its<br />products but the company has a partner that is 11 business locations convection which<br />helps in the production activities of the company. The company currently has not<br />implemented the planning of the number of units that should be in the order of<br />distribution and scheduling each period for each attempt of convection. Recently,<br />planning process only be conducted based on instinct of management and to the schedule<br />undetermined. Every convection only be given a time limit the delivery of goods so to the<br />warehouse IKM DM.<br />This research focuses on the planning and scheduling distribution efforts of<br />convection became a partner of the IKM DM using the Distribution Resource Planning<br />(DRP) and this study only deals with products of office trousers of IKM DM. Convection<br />that produce these products there was only 5 convection, namely convection alan,<br />bambang, kusnandi, noto, and rani. The result of the calculation of DRP shows schedule<br />distribution and the number of units of a product that must be submitted for each period.<br />Based on the recapitulation for 14 period obtained the result that convection alan do<br />order as many as 81,438 units, convection bambang as many as 18,625 units, convection<br />kusnandi as many as 89,265 units, convection noto as many as 48,768 units and<br />convection rani as many as 60,099 units.</p>

scholarly journals An Efficient Algorithm for Crowd Logistics Optimization

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 509
Author(s):  
Raúl Martín-Santamaría  ◽  
Ana D. López-Sánchez  ◽  
María Luisa Delgado-Jalón  ◽  
J. Manuel Colmenar 
Keyword(s):  
Distribution System ◽  
Efficient Algorithm ◽  
Search Algorithm ◽  
Iterated Local Search ◽  
Quality Performance ◽  
Routing Problem ◽  
Distribution Process ◽  
Crowd Logistics ◽  
Corporate Information Systems ◽  
A Company

Crowd logistics is a recent trend that proposes the participation of ordinary people in the distribution process of products and goods. This idea is becoming increasingly important to both delivery and retail companies, because it allows them to reduce their delivery costs and, hence, to increase the sustainability of the company. One way to obtain these reductions is to hire external drivers who use their own vehicles to make deliveries to destinations which are close to their daily trips from work to home, for instance. This situation is modelled as the Vehicle Routing Problem with Occasional Drivers (VRPOD), which seeks to minimize the total cost incurred to perform the deliveries using vehicles belonging to the company and occasionally hiring regular citizens to make just one delivery. However, the integration of this features into the distribution system of a company requires a fast and efficient algorithm. In this paper, we propose three different implementations based on the Iterated Local Search algorithm that are able to outperform the state-of-art of this problem with regard to the quality performance. Besides, our proposal is a light-weight algorithm which can produce results in small computation times, allowing its integration into corporate information systems.

scholarly journals Penentuan Rute Distribusi Produk Menggunakan Metode Saving Matrix Dan Nearest Neighbor Pada PT. XYZ

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Haniza ◽  
Khawarita Sirega ◽  
Muhammad Fachrowi Siregar
Keyword(s):  
Heuristic Algorithm ◽  
Nearest Neighbor ◽  
Cost Savings ◽  
Product Distribution ◽  
Food Ingredients ◽  
Starting Point ◽  
Distribution Process ◽  
Planning Processes ◽  
Transport Vehicle ◽  
Tapioca Flour

Permasalahan penentuan suatu rute distribusi erat kaitannya dengan penentuan perjalanan dari suatu titik atau cabang ke suatu titik atau cabang lainnya dalam suatu rute distribusi. Rute distribusi produk merupakan urutan pemberhentian berturut-turut terhadap cabang dan proses perencanaan dari titik awal (Perusahaan) ke titik konsumsi untuk memenuhi kebutuhan konsumen. PT. XYZ adalah perusahaan yang bergerak di bidang pembuatan bahan makanan, yaitu pembuatan tepung tapioka. PT. XYZ melakukan distribusi ke distributor tanpa memperhitungkan jarak tempuh dan utilitas kendaraan angkut. Proses pendistribusian produk dalam satu kali rute perjalanan hanya dilakukan kepada dua distributor. Pendistribusian produk yang tidak tepat dalam menentukan rute distribusi ke distributor dan tanpa melihat terdahulu kapasitas dari alat angkut mengakibatkan jalur yang ditempuh tidak efisien. Maka dilakukanlah penentuan rute distribusi dengan algoritma heuristik. Pembentukan sub rute pada rute usulan dengan menggunakan algoritma heuristik menghasilkan sub rute yang lebih sedikit dari rute distribusi yang diterapkan perusahaan, dimana sub rute usulan adalah 2 sub rute, sedangkan sub rute yang selama ini diterapkan perusahaan adalah 4 sub rute, menghasilkan jarak yang lebih minimum dengan penghematan jarak sebesar 299500 m, penghematan biaya sebesar Rp.262.650 dan pengurangan penggunaan kendaraan dimana pada rute awal sebanyak 4 armada, setelah menentukan rute distribusi menjadi 2 kendaraan.   The problem of determining a distribution route is closely related to the determination of a trip from a point or branch to a point or other branch in a distribution route. Product distribution routes are sequential sequences of stops for branches and planning processes from the starting point (Company) to the point of consumption to meet consumer needs. PT. XYZ is a company engaged in the manufacture of food ingredients, namely the manufacture of tapioca flour. PT. XYZ distributes to distributors without taking into account the distance and utility of the transport vehicle. The product distribution process in one trip route is only done to two distributors. Inaccurate product distribution in determining distribution routes to distributors and without seeing in advance the capacity of the transport equipment resulted in an inefficient route. Then the distribution route is determined by a heuristic algorithm. Sub route formation on the proposed route using the heuristic algorithm produces fewer sub routes than the distribution route applied by the company, where the proposed sub routes are 2 sub routes, while the sub routes that have been applied by the company are 4 sub routes, resulting in a minimum distance with a distance savings of 299500 m, a cost savings of Rp.262,650 and a reduction in vehicle usage where the initial route was 4 vehicle, after determining the distribution route into 2 vehicle.

scholarly journals Penyelesaian Vehicle Routing Problem Untuk Efisiensi Rute Pendistribusian Produk Minuman Teh Pucuk Harum Menggunakan metode Saving Matriks Studi Kasus (PT. Cipta Niaga Semesta Palu)

2020 ◽  
Vol 17 (1) ◽  
pp. 17-28
Author(s):  
R Putrafi ◽  
A Sahari
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Product Distribution ◽  
Routing Problem ◽  
Distribution Costs ◽  
Efficient Delivery ◽  
Distribution Process ◽  
Total Difference ◽  
The Cost ◽  
A Company

Vehicle Routing Problem Is a Problem related to the route of product distribution to the consumers. With the existence of these problems a company is expected to seek away a way so that the distribution process can arrive on time to scattered consumers and obtain more efficient routes and costs. Therefore a method which can help the process of scheduling a good route and obtaining optimum costs and efficient delivery was used. One of the methods used was Saving Matrix, which in its operation could efficient the delivery route so that the minimum total distance was obtained. The company's actual mileage was greater than the distance travelled by the route after using the Saving Matrix method. The total difference in distance produced was 106,35 km or more saving 41,2 % from the actual distance of the company and using Saving Matrix could save the distribution costs of Rp. 5.687.640 or save 33,8 % of the cost before applying the method.

scholarly journals ANALISA RUTE DISTRIBUSI DAN BIAYA TRANSPORTASI SEBAGAI PENDUKUNG BISNIS PT POS INDONESIA KP BANJARNEGARA

2020 ◽  
Vol 5 (2) ◽  
pp. 56-66
Author(s):  
Aditia Sovia Pramudita
Keyword(s):  
Competitive Advantage ◽  
Matrix Method ◽  
Nearest Neighbor ◽  
Product Distribution ◽  
Transportation Costs ◽  
Total Distance ◽  
State Owned Enterprise ◽  
Distribution Process ◽  
Courier Service

PT Pos Indonesia is a state-owned enterprise engaged in courier service inIndonesia. To achieve the competitive advantage, PT Pos Indonesia certainly cannot beseparated from its effectiveness and its efficiency in distributing letters and packages tothe customers. This research is the background of the product distribution process atPT Pos Indonesia Regional VI Semarang which based on Pos Indonesia way, where theneed for savings in needed. Therefore, the PROSAN section needs to make savings interms of distribution routes and distance. The purpose of this study is to determine thedistribution route of Pos Banjarnegara in order to minimize transportation costs. Thisresearch uses the VRP method. In this thesis, the VRP model is needed for theBanjarnegara Pos office distribution route, the solving for this method is to use savingmatrix, nearest insertion, nearest neighbor and finding out the most effective VRPsolving among those methods. Based on the calculation to complete the VRP using thesaving matrix method, the total distance is 204,3 km, the nearest insertion is 203,9, andthe nearest neighbor produces a distance of 180,6 km while the current average for thedistance in this company is 244,8 km. This shows that the nearest neighbor method ismore efficient in determining distribution routes, and this route can be done by usingjust one vehicle.Keywords: saving matrix, nearest insertion, nearest neighbor, distribution, routes

Socioeconomic patient benefits of a pediatric neurosurgery telemedicine clinic

2020 ◽  
Vol 25 (2) ◽  
pp. 204-208 ◽  
Author(s):  
Kelsey Hayward ◽  
Sabrina H. Han ◽  
Alexander Simko ◽  
Hector E. James ◽  
Philipp R. Aldana
Keyword(s):  
Travel Time ◽  
Cost Savings ◽  
Transportation Cost ◽  
Pediatric Neurosurgery ◽  
University Of Florida ◽  
Remote Location ◽  
Socioeconomic Data ◽  
The University ◽  
Time Away

OBJECTIVEThe objective of this study was to examine the socioeconomic benefits to the patients and families attending a regional pediatric neurosurgery telemedicine clinic (PNTMC).METHODSA PNTMC was organized by the Division of Pediatric Neurosurgery of the University of Florida College of Medicine–Jacksonville based at Wolfson Children’s Hospital and by the Children’s Medical Services (CMS) to service the Southeast Georgia Health District. Monthly clinics are held with the CMS nursing personnel at the remote location. A retrospective review of the clinic population was performed, socioeconomic data were extracted, and cost savings were calculated.RESULTSClinic visits from August 2011 through January 2017 were reviewed. Fifty-five patients were seen in a total of 268 initial and follow-up PNTMC appointments. The average round-trip distance for a family from home to the University of Florida Pediatric Neurosurgery (Jacksonville) clinic location versus the PNTMC remote location was 190 versus 56 miles, respectively. The families saved an average of 2.5 hours of travel time and 134 miles of travel distance per visit. The average transportation cost savings for all visits per family and for all families was $180 and $9711, respectively. The average lost work cost savings for all visits per family and for all families was $43 and $2337, respectively. The combined transportation and work cost savings for all visits totaled $223 per family and $12,048 for all families. Average savings of $0.68/mile and $48.50/visit in utilizing the PNTMC were calculated.CONCLUSIONSManaging pediatric neurosurgery patients and their families via telemedicine is feasible and saves families substantial travel time, travel cost, and time away from work.

scholarly journals Analisis Bullwhip Effect pada Rantai Supply dengan Model Q Menggunakan Pendekatan Hadley-Within di PT. XYZ Medan

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Martha Purnama Sari Panggabean ◽  
Dimas Akmarul Putera ◽  
Nursafwah
Keyword(s):  
Supply Chain ◽  
Inventory Control ◽  
Distribution System ◽  
Control Policy ◽  
Bullwhip Effect ◽  
Product Distribution ◽  
Soft Drinks ◽  
Inventory Cost ◽  
Inventory Control Policy ◽  
Q Model

PT. XYZ adalah perusahaan yang bergerak didalam pembuatan kemasan botol minum. Pendistribusian produk dilakukan PT XYZ menggunakan data historis berdasarkan jumlah permintaan pada tahun 2013 dan 2014. Data tersebut menunjukkan bahwa terjadinya perbedaan hasil. Tahun 2013 memiliki jumlah permintaan yang lebih rendah dari tahun 2014. Informasi terdapat bahwa perlu dilakukan pengevaluasian karena didalam rantai produksi terdapat bullwhip effect. Terdapat nilai bullwhip Effect menujukan bahwa nilai bullwhip effect untuk distributor Indomaret, Carrefour, dan rantai manufakturnya masing-masing sebesar 0,5303; 0,2967, dan 0,5114. Usulan perbaikan dapat diatasi yaitu dengan model Q yang berfungsi menggendalikan persediaan pada rantai pasok dengan metodeHadley-Within. Perhitungan pengendalian persediaan untuk distributor Indomaret, Carrefour, dan rantai manufakturnya masing-masing sebesar 1,0721; 1,100; dan 1,0714. Hasil dari perhitungan menujukan bahwa terjadi keseimbangan antara penjual dan pembeli sehingga biaya pun dapat dihematkan pada PT XYZ.   PT. XYZ Medan is manufacturing company that produce soft drinks of beverages in containers. In the product distribution system at PT. XYZ Medan, found that the number of orders based on the result of forecasting in 2013 lower than actual orders at distrbutor and manufacturer in 2014. Distorsion of information on this order can evaluate the indication of bullwhip effect in supply chain. Based on the result calculation of bullwhip effect, found that the value of bullwhip effect for Indomaret distributor, Carrefour, and supply chain of manufacturer each of 0,5303; 0,2967, and 0,5114. Proposed improvements to predominate bullwhip effect that is by doing inventory control policy with Q model using Hadley-Within approach. The value of bullwhip effect aftre doing inventory control policy for Indomaret distributor, Carrefour, and supply chain of manufacturer each of 1,0721; 1,100; dan 1,0714. The value of bullwhip effect which is close to one shows that the variance between the number of the order and the number of the demand nearly balanced so as to save the inventory cost at PT. XYZ Medan.

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