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A DISTRIBUTION PLANNING MODEL FOR SUBZIDED-FERTILIZER SUPPLY CHAIN PLANNING CONSIDERING QUOTA ALLOCATION: A CASE STUDY Sutopo, Wahyudi; Yuniaristanto, Yuniaristanto; Pramono, Wakit
Rekayasa Vol 4, No 1: April 2011
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (250.088 KB) | DOI: 10.21107/rekayasa.v4i1.2325

Abstract

Makalah ini membahas studi dunia nyata masalah perencanaan distribusi pupuk bersubsidi. Salah satu perusahaan pupuk nasional bahasa Indonesia memiliki kewajiban mendistribusikan pupuk bersubsidi-menjadi 15 kabupaten/kota di Propinsi Jawa Tengah. Perusahaan harus memenuhi permintaan pupuk bersubsidi-melalui saluran distribusi terkendal tingkat ketiga seperti lini I (pabrik), lini II (gudang provinsi), dan lini III (gudang kabupaten/kota). Lini I memasok lini II dan III dengan jumlah lebih besar dari pasokan dibandingkan dengan alokasi kuota yang sebenarnya berdasarkan keputusan gubernur. Pada kebijakan sebelumnya lini I mensuplai lini II dan III dengan stock pengaman untuk mengantisipasi permintaan selama 2 minggu dari distributor. Karena perubahan musim panen dan fluktuasi permintaan, lini II tidak dapat memenuhi permintaan dengan jumlah yang tepat, tempat, dan waktu. Kinerja pada tahun sebelumnya lebih dari 10% dari deviasi standar antara keputusan gubernur dan realisasinya. Fenomena ini menyebabkan meningkatnya biaya logistik seperti pemesanan, biaya transportasi, dan biaya simpan. Tujuan dari penelitian ini adalah untuk mengembangkan model untuk mendukung perusahaan untuk menentukan ukuran lot optimal dari lini II untuk berbaris I, dan safety stock pada Garis II dan III untuk meminimalkan biaya logistik. Sebuah model non-linear programming (MINLP) diusulkan untuk memecahkan masalah ini dengan mempertimbangkan metode peramalan baru untuk menghitung alokasi kuota. Ada lima kelompok kendala termasuk kapasitas gudang, kapasitas kendaraan, kuota, persediaan, dan variabel biner. Studi ini memberikan manfaat lebih dari 9% dari biaya logistik. Kata kunci: perencanaan distribusi, biaya logistik, ukuran lot, mixed integer non-linear programming, safety stock, subsidi-pupuk.  AbstractThis paper investigates a real-world case study of a subsidized-fertilizer distribution planning. One of Indonesian national fertilizer company has an obligation distributing subsidized-fertilizer to 15 regency/municipality in Central Java Province. The company has to fulfill the demand of subsidized-fertilizer through a third-level controlled-distribution channels such as line I (factory), line II (province’s warehouse), and line III (regency/municipality warehouse). Line I supplies line II and line III with higher amount of supply compare to the actual quota allocation based on the governor’s decree. In the previous policy, line I supplied line II and line III with safety stocks to anticipate the demand for 2 weeks of distributors. Due to the changing of harvest season and demand fluctuation, line II cannot fulfill the demand with exact amount, place, and time. The performance at previous year is more than 10% of standard deviation between the governor’s decree and the realization. This phenomenon causes the increasing of logistic costs such as ordering cost, transportation cost, and holding cost. The objective of this research is to develop a model for supporting company to decide the optimal lot size from line II to line I, and safety stock at Line II and III in order to minimize logistic costs. A mixed integer non-linear programming (MINLP) was proposed to solve this problem by considering a new forecasting method to calculate the quota allocation. There are five groups of constraints including warehouse capacity, vehicle capacity, quota, inventory, and binary variable. This study gives more than 9% benefit of logistic costs. Keywords: distribution planning, logistic costs, lot size, mixed integer non-linear programming, safety stock, subsidized- fertilizer.
PENERAPAN POSTPONEMENT STRATEGY DALAM SUPPLY CHAIN UNTUK MENGHASILKAN PRODUK YANG MENGUTAMAKAN KEPUASAN KONSUMEN DAN MENINGKATKAN PROFIT PERUSAHAAN Dewiningrum, Ayu Purnama; Restiannisa, Kinanti; Sutopo, Wahyudi
Rekayasa Vol 5, No 1: April 2012
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (259.038 KB) | DOI: 10.21107/rekayasa.v5i1.2107

Abstract

Salah satu hal yang menjadi sorotan dalam persaingan pasar saat ini adalah kemampuan produsen untuk menghasilkan produk sesuai dengan keinginan dan spesifikasi tertentu dari konsumen tetapi dapat diproduksi secara masal sehingga biaya produksi rendah. Perusahaan harus mampu melakukan mass customization melalui  penundaaan pengerjaan diferensiasi produk pada titik akhir dalam rantai pasoknya dengan postponement strategy. Dengan menunda proses diferensiasi produk maka mata rantai produksi sebelum proses diferensiasi dapat dilakukan secara masal dan hanya proses akhir saja yang merupakan proses kustomisasi. Penerapan strategi ini dapat membantu perusahaan dalam meningkatkan level of customization, pengurangan lead time, dan  menekan biaya persediaan serendah mungkin. Dengan strategi efisiensi ini, perusahaan-perusahaan dapat mewujudkan produk yang  yang diminta oleh konsumen secara spesifik sehingga harga jual lebih tinggi tetapi tetap dapat menjaga biaya produksi yang rendah. Artikel ini  membahas rancangan implementasi postponement strategy pada industri fashion. Pada industri tersebut, permintaan konsumen atas model dan desain adalah sangat beragam dan berubah dengan sangat cepat sehingga perusahaan yang tidak dapat mereposisi strategi produksinya tidak akan memiliki competitive advantage. Artikel ini memberikan rekomendasi awal kepada perusahaan fashion agar dapat mengadopsi dan menerapkan postponement strategy dalam supply chain pada industri fashion. Implementasi dari strategi ini diharapkan mampu mendukung industri kreatif Indonesia dalam memenangkan persaingan pasar.
Pemodelan Lokasi-Alokasi Terminal Bahan Baku untuk Meminimasi Total Biaya Rantai Pasok pada Industri Produk Jadi Rotan ., Yuniaristanto; Sutopo, Wahyudi; Aisyati, Azizah
Jurnal Teknik Industri Vol 12, No 1 (2010): JUNE 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.12.1.pp. 17-24

Abstract

In Surakarta and its surroundings (Solo Raya), there exists more than 400 Small-Medium Enterprises (SMEs) that produce finished products of rattan. Due to the high procurement cost as total operational cost of raw rattan distribution network from the sources, e.g. Borneo and Celebes to the rattan industries, the competitiveness of their products is lower than products from other countries. Therefore, to overcome the problem, those costs should be reduced for example by aggregating the demand of rattan industries. This police needs to be supported by the warehouse for storing and distributing raw rattan. Hence, this research aims to develop a facility location-allocation model so that total supply chain costs, including raw rattan procurement costs as well as facilities opening and closing costs can be minimized. The location-allocation model will be presented in a mixed integer non-linear programming model and solved using MS-Excel Solver. The results are number and location of the warehouse along with the raw rattan allocation in the warehouse to ensure raw rattan supply for rattan industries.
Mapping of Inbound Flows in Supply Chain of Lithium-ion Industry in Indonesia Sutopo, Wahyudi; Zakaria, Roni; Wardayanti, Ari; Fahma, Fakhrina
http://dx.doi.org/10.31427/IJSTT.2018.1.1.3
Publisher : Unijourn Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The demand for lithium battery is currently high from the consumer side due to the widespread application of lithium-ion battery for electronics (laptops, notebooks, mobile phones, street lighting) and electric vehicles (electric cars and electric motors). In Indonesia, the research and industrialization on lithium-ion battery have been conducted to develop products such as for electric vehicles and street lighting. On the other hand, the relationship between suppliers, producers, distribution channels, and consumers has not been mapped. This mapping is intended to provide an overview of the strength of suppliers, involved manufacturers, and to determine the readiness of the value chain of lithium-ion battery to perform mass production. The approach in the mapping uses primary data and secondary data for the initial stage of inbound flows in supply chain of lithium-ion industry in Indonesia. Primary data are obtained from the questionnaires, which adopted from the value chain lithium-ion battery research in USA adjusted for Indonesian context. Meanwhile, the secondary data derived from literature reviews. The respondents in the study are 11 institutions consisting of manufacturers and R&D of lithium-ion battery in Indonesia. The results obtained are supplier mapping that provides the flow of lithium-ion battery, cell, module, and pack as well as the producers and consumers. The results could also be utilized to identify the valuable metrics in the supply chain of lithium battery industry.
Supplier Selection Model of the Lithium-ion Battery using Fuzzy AHP and Analysis of BOCR Wardayanti, Ari; Zakaria, Roni; Sutopo, Wahyudi; Louhenapessy, Bendjamin
http://dx.doi.org/10.31427/IJSTT.2018.1.1.1
Publisher : Unijourn Publisher

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Abstract

Although the demand for the lithium-ion battery for electronic consumers and electric vehicles in Indonesia is high, there is no supplier coming from the local manufacturer. The proper selection of suppliers is required by some lithium-ion battery manufacturers (cells, modules, and packs), and Research and Development (R&D) center of the lithium-ion battery with the consideration not only in benefits and cost but also in opportunities and risks. It is important that experts assist the manufacturers and R&D to procure the lithium-ion (materials and cells), through transparent methods that seek a quantitative model to select the right supplier. The main objective of this study is to propose an analytical approach to select suppliers which incorporate Benefits, Opportunities, Costs and Risks (BOCR) concept that comply with the characteristics of the lithium-ion battery industries. A fuzzy Analytical Hierarchy Process (AHP) model is developed by accommodating the vagueness and inaccuracies of expert elections. The result of this research is development of the model obtained from 2 questionnaires given to the expert. Questionnaire 1 was made for the determination of criteria and sub-criteria, while Questionnaire 2 aims to perform pairwise comparisons of existing criteria and sub-criteria. In the selection of the lithium-ion battery suppliers, there are 11 criteria and 40 sub-criteria which are considered. Those criteria are divided into 4 merits and known for their respective global priorities.
Food Traceability and Security in Supply Chain Using RFID Technology ., Evizal; Rosa, Sri Listia; Shamsuddin, Siti Mariyam; Supriyanto, Eko; Sutopo, Wahyudi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.853 KB) | DOI: 10.11591/eecsi.v1.413

Abstract

In recent year due to high demand of food product especially agricultural food then supplied from various countries or regions and lands. Some cases facing out such as on delivery, food safety and consumer care. Thus, agricultural food product safety, traceability and monitoring system is required for food product. In this paper propose a system for food traceability and security in supply chain using RFID technology, where a tag attached to every bucket or packet of food product as identification for product source, batch and expire date. Every process in supply chain of food product identified by RFID reader and scanning the tags then all scanned data send to centralized database for product information. In retail store consumer be able to check food product detail especially expire date and in case of food issues happen supplier easly identified source of product. Beside identification and product safety, delivery can be monitoring by agent as every bucket tagged by an RFID tag. By using this system benefit for the consumer, supplier and authority for identification and monitoring system.
Analisis Pengaruh Label Halal dan Kualitas Produk Terhadap Keputusan Pembelian Produk UNSQUA Menggunakan Regresi Linier wahyudi sutopo; Frisca Pomalia; Meidiana Faras Isnafitri; Danang Miftahudin Pratama; Ayusya Khoirun Nisa; Yuniaristanto Yuniaristanto
JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Vol 4, No 2 (2020): EDISI NOVEMBER
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jime.v4i2.3579

Abstract

UNSQUA merupakan produk air minum kemasan yang diproduksi oleh SPAM UNS dan dijual secara internal. Berdasarkan survey penelitian, banyak konsumen yang tidak yakin untuk mengkonsumsi produk UNSQUA karena ragu dengan kualitasnya dan tidak adanya label halal pada kemasan produk. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh variabel label halal dan kualitas produk dengan menggunakan analisis regresi linier untuk mengetahui pengaruhnya terhadap keputusan pembelian UNSQUA. Hasil dari penelitian menunjukkan : variabel label halal mempengaruhi variabel keputusan pembelian sebesar 10,5% dengan signifikansi sebesar 0,58 ; variabel kualitas mempengaruhi variabel keputusan pembelian sebesar 71,7% dengan signifkansi sebesar 0,000; dan variabel label halal dan kualitas produk bersama-sama mempengaruhi keputusan pembelian sebesar 51,7% dengan signifikansi sebesar 0,000. Dengan meningkatnya keputusan pembelian maka diharapkan juga permintaan akan UNSQUA dapat meningkat dan mendatangkan profit yang lebih besar untuk perusahaan.
Optimalisasi Rute Distribusi BBM dengan Penerapan Capacitated Vehicle Routing Problem dan Excel Solver di Kabupaten Magetan Euis Nurlathifah; Fathin Kusumo Pramesti Pudjiantoro; Naufal Ammar; Wahyudi Sutopo; Yuniaristanto Yuniaristanto
Teknoin Vol. 26 No. 2 (2020)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol26.iss2.art3

Abstract

Pertamina Fuel Terminal Boyolali MOR IV memiliki tugas untuk mendistribusikan produk BBM yang dihasilkan ke SPBU di Jawa Tengah dan sebagian Jawa Timur. Penelitian ini membahas pendistribusian BBM dari depot ke SPBU di Kabupaten Magetan dengan permintaan BBM sebesar 16 kl, 24 kl, dan 32 kl dengan pemilihan atau penentuan rute distribusi yang tepat sehingga memperoleh ketepatan waktu yang optimal. Tahapan penelitian yang  pertama membuat formulasi model masalah capacitated vehicle routing problem (CVRP) menggunakan Excel Solver sebagai metode penyelesaiannya. Lalu tiga kriteria rute mobil tangki dengan kapasitas 16 kl, 24 kl dan 32 kl digunakan untuk menentukan distribusi BBM di Kabupaten Magetan. Hasil simulasi menggunakan software Excel Solver didapatkan rute terpendek untuk mengirimkan BBM ke 11 SPBU yang berada di Kabupaten Magetan dengan menggunakan 1 mobil tangki 24kl dan mobil tangki 32 kl. Dan didapatkan total jarak yang dilaluli oleh semua kendaraan mobil tangki adalah sejauh 2260,6 kilometer sehingga memberikan rute yang lebih baik dari rute yang ada sebelumnya yaitu sejauh 2686,2 kilometer.
Analisis Masalah Untuk Menentukan Minimasi Waste Pada Proses Produksi di PT. XYZ Fauziah Amelia Ananda; Wahyudi Sutopo
Teknoin Vol. 26 No. 2 (2020)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol26.iss2.art5

Abstract

PT. XYZ merupakan salah satu perusahaan manufaktur di Indonesia yang memiliki karakteristik make-to-order dalam proses produksinya. Salah satu produk yang ada di perusahaan tersebut adalah baja slab, yang di mana baja slab ini merupakan komponen utama untuk proses produksi baja selanjutnya. Dari hasil observasi diketahui bahwa perusahaan sering tidak dapat mencapai target produksi dikarenakan adanya pemborosan dalam proses produksi yang berupa cacat dan delay, yang kemudian menambah biaya produksi. Oleh karena itu, minimalisasi waste penting untuk dilakukan. Metode yang digunakan yaitu VSM, dengan FMEA dan 5W+1H sebagai metode penunjang. Berdasarkan data yang diperoleh, ada empat waste terbesar yang menghambat efisiensi produksi baja slab, yaitu defect, overproduction, waiting, dan unnecessary motion. Dalam penelitian ini digunakan tools yaitu Process Activity Mapping, Quality Filter Mapping, dan Future Value Stream Mapping.
Adoption Intention Model of Electric Vehicle in Indonesia Martha Widhi Dela Utami; Yuniaristanto Yuniaristanto; Wahyudi Sutopo
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.608 KB) | DOI: 10.25077/josi.v19.n1.p70-81.2020

Abstract

Indonesia’s government was targeting the adoption of 2.1 million units of two-wheeled electric vehicles and 2,200 units of four-wheeled electric vehicles in 2025 through the Republic of Indonesia's Presidential Regulation No. 22 in 2017 about the National Energy General Plan. In 2019, the Government of Indonesia issued Presidential Regulation No. 55 in 2019 concerning the Acceleration of the Battery Electric Vehicle Program for Road Transportation. In 2018, the adoption of two-wheeled electric vehicles only reached 0.14% of the government's target for 2025. Therefore, the adoption of Electric Motorcycle (EM) technology must also consider many factors to be successful. This research develops a non-behavioral electric vehicle adoption intention model. The factors include sociodemographic, financial, technological, and macro-level. The online survey involved 1,223 respondents. Logistic regression is used to obtain the function and probability value of intention to adopt EM in Indonesia. Frequency of sharing on social media, level of environmental awareness, purchase prices, maintenance costs, maximum speed, battery charging time, availability of charging station infrastructure at work, availability of home power based- charging infrastructure, purchase incentive policies, and charging cost discount incentive policies are significantly influencing the intention to adopt electric vehicles. It also shows that the opportunity for Indonesians to adopt electric motorcycles reaches 82.90%. The realization of the adoption of electric motorcycles in Indonesia requires infrastructure readiness and costs that can be accepted by consumers. Lastly, the results of this research provide some suggestions for the government and businesses to accelerate electric motorcycle adoption in Indonesia.