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Ditemukan 190564 dokumen yang sesuai dengan query

Rahman Pramono Wibowo

Optimasi pengiriman BBM ke SPBU pada kasus multi depot dan multi product di sales area Bandung = Optimization of a multi-depot and multi-product fuel deliverypProblem in Bandung

"Dengan terbitnya Undang-Undang Migas No 22 Th 2001, badan usaha swasta nasional dan asing telah dapat melakukan investasi di seluruh sektor usaha Minyak dan Gas Bumi. Untuk mengantisipasi persaingan bebas, Pertamina harus melakukan transformasi diseluruh sektor, khususnya dalam hal efisiensi biaya distribusi BBM ke SPBU. Untuk mengoptimalkan kegiatan distribusi tersebut diperlukan sistem perancangan rute dan penjadwalan pengiriman BBM harian ke SPBU. Permasalahan penentuan rute dan penjadwalan pengiriman BBM ke SPBU dapat dimodelkan sebagai Petrol Station Replenishment Problem (PSRP) dengan multi depot, multi product, time window dan split deliveries, yang dalam penelitian ini akan diselesaikan dengan algoritma Tabu search. Dengan menggunakan metode ini diharapkan output dari penelitian ini adalah penetuan rute dan penjadwalan pengiriman BBM ke SPBU yang optimal.

With the publication of Oil and Gas Regulation No. 22 in the year of 2001, national and foreign private enterprises has been able to invest in all sectors of Oil and Gas. In order to anticipate free competition market, Pertamina must perform the transformation throughout the sector, particularly in terms of cost efficiency of fuel distribution to retail outlets. A design of routes and scheduling daily delivery of fuel to gas stations is required to optimize the distribution system. The problem of delivering fuel to the gas station would be devined as Petrol Station Replenishment Problem (PSRP) with the multi-depot, multi-product, time windows and split deliveries, which in this study will be resoved using Tabu Search Algorithm. With the using of this method, it is expected to produce an optimal route and scheduling system of depot to gas station fuel delivery."

Depok: Universitas Indonesia, 2011

T29339

UI - Tesis Open Universitas Indonesia Library

I Ketut Permadi Aryakuumara

Pemodelan Pengiriman BBM Multi Produk ke SPBU dengan Time Windows dan Split Deliveries untuk Meminimalkan Total Biaya Distribusi Menggunakan Metode Tabu Serach: Studi Kasus di Pertamina Depot Malang = Modelling Distribution of Multi Product Fuel Oil for Gas Station with Time Windows and Split Deliveries to Minimize Total Distribution Cost Using Tabu Search Method: Case Study at Pertamina Depot Malang

Depok: Fakultas Teknik Universitas Indonesia , 2011

T48970

UI - Tesis Membership Universitas Indonesia Library

Afni Khadijah

Optimasi pendistribusian CNG multi-depot untuk menentukan model rute dan jumlah armada menggunakan metode Tabu Search dan differential evolution = Optimization of multi CNG distribution depot to determine model routes and total fleet using tabu search and differential evolution method / Afni Khadijah

"ABSTRAK

Kebutuhan energi Indonesia di berbagai sektor pengguna mengalami peningkatan

setiap tahunnya, khususnya sektor industri pengguna energi gas alam yaitu

Compressed Natural Gas (CNG). Permasalahan yang terjadi di perusahaan

penyedia CNG yaitu kuantitas pengiriman yang berbeda-beda pada tiap titik,

keterbatasan kapasitas muatan armada, keterbatasan armada, lokasi konsumen

yang jauh, terkendala kemacetan jalan, dan pendistribusian masih menggunakan

sistem one-to-one. Untuk meminimasi biaya pendistribusian CNG dan

membuktikan metode manakah yang lebih unggul dan handal untuk

menyelesaikan persoalan multi-depot maka digunakan metode Tabu Search (TS)

dan Differential Evolution (DE) dengan algoritma The Vehicle Routing Problem

dengan Times Window (VRPTW). Algortima VRPTW digunakan untuk

merancang sebuah model optimasi menggunakan program Matlab. Hasil

penelitian ini adalah memperoleh model rute dan jumlah armada pendistribusian

CNG yang optimal dan membandingkan kehandalan hasil performa dari ketiga

metode TS dan DE.

ABSTRACT

Indonesia's energy needs in the various sectors of users has increased every year,

especially the industrial sector energy users of natural gas that is Compressed

Natural Gas (CNG). The problems that occurred in the CNG provider company is

delivery quantity different at every point, fleet payload capacity limitations, the

limitations of the fleet, the location of distant consumers, constrained road

congestion, and distribution are still using a system of one-to-one. To minimize

the cost of distribution of CNG and prove which method is superior and more

reliable to resolve the issue of multi-depot then used the method Tabu Search (TS)

and Differential Evolution (DE) algorithm The Vehicle Routing Problem with

Times Window (VRPTW). VRPTW algorithms used to design an optimization

model using Matlab program. Results of this study was to obtain these models and

the number of CNG fleets optimal distribution and compare the reliability of the

performance results of all three methods TS and DE."

2016

T45343

UI - Tesis Membership Universitas Indonesia Library

Nathanael Matthew

Menyelesaikan masalah penjadwalan kendaraan multi depot (MD-VSP) untuk mengoptimasi pengiriman darat mil-tengah di Indonesia = Solving a Multi-Depot Vehicle Scheduling Problem (MDVSP) to optimize land-based middle-mile shipping in Indonesia

"Transportasi jalanan menyumbang 70-80% dari total volume angkutan barang setiap tahunnya di Indonesia dan pangsa pasar logistik darat berkisar antara 40% dan 50% dari total ukuran pasar logistik Indonesia. Dengan harga logistik yang semakin cepat meningkat (menyumbang 29% dari beban PDB Indonesia), besarnya permintaan layanan logistik darat memaksa pemain dalam industri tersebut untuk bersaing lebih ketat demi mendapatkan bagian pangsa pasar yang berkembang. Penelitian ini mengikuti Perusahaan X sebagai studi kasus perusahaan yang berusaha meminimalkan biaya agar tetap kompetitif di pasar logistik di Indonesia. Dalam upaya ini, Perusahaan X berniat untuk meningkatkan proses bisnis Middle-Mile (Mil-Tengah) untuk meminimalisasi limbah yang dihasilkan. Kebutuhan optimasi antara pencapaian waktu dan pemanfaatan kendaraan lahir dari prioritas untuk mencapai Service Level Agreement (SLA). Dalam

penelitian ini, Peneliti membuat model optimasi untuk Penjadwalan dan Penugasan Kendaraan yang meminimalisasi jumlah kendaraan yang digunakan dalam proses Middle-Mile serta mengoptimalkan Serviceable Volume (volume pengiriman yang mencapai SLA) untuk setiap Segmen Mil-Tengah untuk meminimalkan limbah dengan memaksimalkan penggunaan kapasitas per kendaraan. Masalah Penjadwalan Kendaraan Multi Depot (MDVSP) dan beberapa heuristik akan digunakan sebagai dasar teoritis untuk pemodelan. Hasil model berpotensi pengurangan biaya kapital sebesar 32% dan

pemanfaatan kendaraan sebesar 225%, serta menyediakan Penugasan Jadwal Perjalanan. Optimal secara otomatis.

Road transport accounts for 70-80% of the total freight volume handled annually in Indonesia and the share of the land-based logistics market is between 40% and 50% of the total logistics market size. With price of logistics rapidly accelerating, the great demand for land-based logistics forces players in the industry to compete even more tightly to secure their share of the growing market. This research follows Company X as a case study of a company seeking to minimize costs to stay competitive in the logistics market in Indonesia. To minimize costs, Company X aims to enhance their Middle-Mile business process to minimize any generated wastes found. However, the question of
optimizing time achievement and vehicle utilization arises from the priority to achieve Service Level Agreement (SLA). In this research, Author creates optimization models to minimize the number of vehicles used in the Middle-Mile processes while optimizing Serviceable Volume for each shipping Segment. Multi Depot Vehicle Scheduling Problem (MDVSP) and some heuristics will be used as a theoretical basis for the modelling. The output of the model is very desirable with a fixed 32% potential capital cost reduction and 225% vehicle utilization, with automated optimal Timetabled Trips
assignment for decision making."

Depok: Fakultas Teknik Universitas Indonesia, 2021

S-pdf

UI - Skripsi Membership Universitas Indonesia Library

Tara Ramadhani

Algoritma ant colony optimization untuk menyelesaikan fixed destination multi-depot multiple traveling salesman problem = An ant colony optimization algorithm to solve fixed destination multi depot multiple traveling salesman problem

"Perluasan dari Traveling Salesman Problem (TSP) adalah Multiple Traveling Salesman Problem (MTSP), yaitu menentukan kumpulan rute oleh 𝑚 salesman yang berawal dan kembali ke kota asal (depot). Jika terdapat lebih dari satu depot dan salesman yang berawal dan kembali ke depot yang sama, maka permasalahan tersebut dinamakan Fixed Destination Multi-depot Multiple Traveling Salesman Problem (MMTSP). Pada makalah ini, MMTSP akan diselesaikan menggunakan algoritma Ant Colony Optimization (ACO). ACO adalah algoritma optimisasi metaheuristic yang terinspirasi oleh perilaku semut dalam mencari jalur terpendek dari sarang menuju sumber makanan.

Dalam penyelesaian MMTSP, akan diamati dengan memerhatikan pemilihan kota yang berbeda sebagai depot dan tiga parameter MMTSP non-random, banyaknya salesman (𝑚), minimum banyaknya kota yang harus dikunjungi salesman (𝐾), dan maksimum banyaknya kota yang dapat dikunjungi salesman (𝐿). Implementasi dilakukan dengan mengambil empat data dari TSPLIB. Hasil implementasi menunjukkan bahwa pemilihan kota yang berbeda sebagai depot dan tiga parameter MMTSP, di mana 𝑚 adalah parameter yang paling esensial, mempengaruhi solusi.

An extension of Traveling Salesman Problem (TSP) is the Multiple Traveling Salesman Problem (MTSP) in which, determining set of routes by 𝑚 salesmen who all start from and return to a single home city (depot). If there is more than one depot and salesmen start from and return to the same depot, then the problem is called Fixed Destination Multi-depot Multiple Traveling Salesman Problem (MMTSP). In this paper, MMTSP will be solved using the Ant Colony Optimization (ACO) algorithm. ACO is a metaheuristic optimization algorithm which inspired by the behavior of ants in finding the shortest path from the nest to the food source.
In solving the MMTSP, the algorithm is observed with respect to different chosen cities as depots and non-randomly three parameters of MMTSP, the number of salesmen (𝑚), the minimum number of cities a salesman must visit (𝐾), and the maximum number of cities that a salesman can visit (𝐿). The implementation is observed with four dataset from TSPLIB. The results show that both the different chosen cities as depots and the three parameters of MMTSP, in which 𝑚 is the most essential parameter, affect the solution."

Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2016

S64313

UI - Skripsi Membership Universitas Indonesia Library

Slamet Harianto

Penentuan rute dan jadwal pengiriman multi produk pada disribusi bahan bakar untuk menjaga safety stock dengan pendekatan branch & bound : studi kasus wilayah IV = Multi product routing and scheduling for distribution fuel oil to maintain safety stock using branch and bound approach : case study region IV

"Tesis ini membuat model untuk menentukan rute dan jadwal pengiriman bahan bakar multi produk (Premium, Kerosene dan Solar) dengan menggunakan kapal heterogen untuk menjaga safety stock sehingga deviasi kapal dapat dihindari.

Terdapat dua depot yang mempunyai keterbatasan draft, konsumsi harian antar depot dan tiap produk berbeda. Suplai point dianggap tidak terbatas dan kapal yang digunakan adalah tipe Medium Range (MR) serta Genereal Purpose (GP).

Model ditulis dalam commercial software Lingo dengan penyelesaian menggunakan algoritma Branch and Bound. Pada wilayah operasi IV total 8 pelabuhan dan 3 dedicated kapal menunjukkan bahwa model dapat menjaga safety stock selama planning horizon dengan rute dan dan jadwal yang optimum.

This thesis formulates a model to determine the route and schedule delivery of multi-product fuel (Premium, Kerosene and Diesel) using heterogeneous ships to maintain safety stock so that the vessel deviation can be avoided.
There are two depots with limited draft, daily consumption between depot and each product is different. Supply point is considered infinite and the type of ship used in this case is Medium Range (MR) and Genereal Purpose (GP).
Models written in commercial software LINGO and solve by Branch and Bound algorithm. For operation region IV with total 8 ports and three dedicated vessels showed that the model can maintain the safety stock during the planning horizon with optimum route and schedule."

Depok: Fakultas Teknik Universitas Indonesia, 2011

T29784

UI - Tesis Open Universitas Indonesia Library

Erithiana Sisijoan Koesnadi

Pengembangan Perangkat Lunak Product Line dan Multi Product Line Payment Gateway = Development of Software Payment Gateway Product Line and Multi Product Line

"Dewasa ini dengan adanya digitalisasi, permintaan atas teknologi semakin besar dan

beragam. Hal ini menyebabkan beragam metode untuk mengantisipasi permintaan konsumen

secara dinamis, dimulai dari metode manajemen projek, hingga paradigma pengembangan

perangkat lunak. Software Product Line Engineering (SPLE) kemudian

muncul dalam memberikan kerangka untuk mengidentifikasi variability maupun commonality.

Eksplorasi implementasi dalam payment gateway sejauh ini belum terdokumentasi,

memberikan kesempatan dalam mengevaluasi bagaimana SPLE dapat dimplementasikan

dalam area usaha payment gateway yang cukup kompleks. Kompleksitas ini

berasal dari berbagai bentuk dan fitur yang dapat dilayani oleh entitas keuangan. Tesis ini

akan membahas bagaimana tahap-tahap implementasi product line dari payment gateway

menggunakan WinVMJ, WinVMJ Composer dan IFML UI Generator. Product line ini

kemudian di kombinasikan dengan product line Adaptive Information System for Charity

Organizations (AISCO), membentuk multi product line. Hasil dari penelitian ini kemudian

dapat digunakan untuk memberikan masukan pada pola pengembangan Multi Product

Line dan perbaikan pada aplikasi framework WinVMJ yang merupakan implementasi

dari Varibility Modules for Java.

In this digital age, demand for technology had increased and varied. This condition

causes various methods to anticipate customer demand, starting from project management

to software engineering paradigm. Software Product Line Engineering aims to outline a

framework in order to identify variability and commonality. Implementation exploration

within payment gateway usecase so far is not researched, giving opportunity to evaluate

SPLE implementation within a complex domain. This complexity originated from various

shape and feature from financial entities. The following thesis will discuss the phases

of implementation of product line and multi product line of payment gateway using WinVMJ,

WinVMJ Composer and IFML UI Generator. The aforementioned product line

then will be combined with the product line of Adaptive Information System for Charity

Organizations (AISCO) to form a multi product line. This research will produce feedback

to the software development pattern of multi product line and improvement on WinVMJ

framework.

Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2023

T-pdf

UI - Tesis Membership Universitas Indonesia Library

Yusnia Aprina

Permasalahan Newsboy Multiproduk dengan Kapasitas Penyimpanan Terbatas dan Sistem Outsourcing = Multi Product Newsboy Problem with Limited Storage Capacity and Outsourcing System

"[ABSTRAK

Permasalahan newsboy merupakan permasalahan memaksimumkan keuntungan pada produk yang mempunyai batas waktu penjualan dan jumlah permintaan yang belum pasti. Skripsi ini membahas permasalahan newsboy multiproduk dengan kapasitas penyimpanan gudang terbatas. Untuk mengatasi kekurangan produk akibat kapasitas penyimpanan gudang yang terbatas, penjual membeli produk di luar agen utama yang disebut agen outsourcing. Permasalahan newsboy ini dimodelkan ke dalam masalah nonlinear programming. Selanjutnya dijelaskan karakteristik solusi optimal dari permasalahan ini sehingga didapatkan solusi optimalnya.

ABSTRACT

Newsboy problems is the problem of maximizing profits on products that have a time limit of sales and uncertain demand. This skripsi discuss multi-product newsboy problem with limited storage capacity. To deal with possible shortage of the product due to the limited storage capacity, the seller buy products outside the main agent called outsourcer. This newsboy problems can be modeled into a nonlinear programming problem. Next will be explained the properties of the optimal solution of this problem to obtain the optimal solution.;Newsboy problems is the problem of maximizing profits on products that have a time limit of sales and uncertain demand. This skripsi discuss multi-product newsboy problem with limited storage capacity. To deal with possible shortage of the product due to the limited storage capacity, the seller buy products outside the main agent called outsourcer. This newsboy problems can be modeled into a nonlinear programming problem. Next will be explained the properties of the optimal solution of this problem to obtain the optimal solution., Newsboy problems is the problem of maximizing profits on products that have a time limit of sales and uncertain demand. This skripsi discuss multi-product newsboy problem with limited storage capacity. To deal with possible shortage of the product due to the limited storage capacity, the seller buy products outside the main agent called outsourcer. This newsboy problems can be modeled into a nonlinear programming problem. Next will be explained the properties of the optimal solution of this problem to obtain the optimal solution.]"

Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2015

S57980

UI - Skripsi Membership Universitas Indonesia Library

Nur Mayke Eka Normasari

Mathematical model of vehicle routing problem with compartment, split delivery, multi product, and time windows

"ABSTRAK

This research proposes a mathematical model of the Vehicle Routing Problem with Compartment (VRPC) by considering split delivery, multi product, and time windows. VRPC is variant of VRP which is an extention of the Capacitated Vehicle Routing Problem (CVRP) by considering the used of compartment in the vehicle. Compartment is used to separate different product to be distributed. The application of the VRPC concept in a real system can be found in the distribution system of fuel, oil, recycled waste, or food distribution. The mathematical model is used to determine the route that minimize the distance. AMPL software and CLPEX solver is used to create the mathematical programming of the model and solve it. The proposed mathematical model is Mixed Integer Nonlinear Programming (MINLP). Numerical experiments is conducted to illustrate the use of the model. The experimental results show that the model passed the verification and validation tests."

Yogyakarta: Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STTA, 2019

600 JIA XI:1 (2019)

Artikel Jurnal Universitas Indonesia Library

Hadi Al Rasyid

Peramalan permintaan konsumsi BBM Premium di Indonesia dengan metode multi linear regresi dan neural network = Forecasting of Premium Fuel demand in Indonesia with using multi linear regression and neural neetwork methode

"Semakin meningkatnya kebutuhan masyarakat pada energi semakin mendorong berkembangnya teori manajemen permintaan energi. Indonesia sebagai negarayang mengalami peningkatan kebutuhan konsumsi premium masih membutuhkan perbaikan dalam tata kelolakebijakan energinya. Salahsatunya dalam melakukan peramalan. Oleh karena itu,Dibutuhkan suatu cara agar dapat melakukan peramalan konsumsi BBM premium di Indonesia.Dalam penelitian ini, peramalan dilakukandengan dua cara. Yaitu dengan menggunakan Multi Linear Regrresi dan Neural network. Hasil yang didapat menunjukkan bahwa metode Multi linear regresi memperoleh keakuratan yang lebih baik dibanding Neural network.

The increasing of energy consumption encouraging the development of energy demand management theory. Indonesia as a country which have increasing consumption premium fuel in few years is need to improve their energy policy, especially in forecasting. Therefore, there are need a methode to forecast premium demand in Indonesia. In this research, forecasting is done with using Multi Linear Regression and Neural Network. The result is the accuration of Multi Linear Regression methode better than the accuration of Neural network methode."

Depok: Fakultas Teknik Universitas Indonesia, 2016

T45434

UI - Tesis Membership Universitas Indonesia Library

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