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Integrated analytic hierarchy process and mixed integer programming for supplier selection in mold and dies industry Silalahi, Agustinus; Sukwadi, Ronald; Pramesjwari, Duhita Al Hayyu; Oktavia, Chendrasari Wahyu; Natalia, Christine
Jurnal Sistem dan Manajemen Industri Vol. 3 No. 2 (2019)
Publisher : Universitas Serang Raya

PT. GMT has a mission to deliver the products to the customer on time and high-quality products to improve services. Sometimes, the delivery of product delays caused by the raw materials delays or didn't meet specifications. Selection optimal suppliers of raw materials are one of the solutions. There are two factors must be considered for the selection of suppliers, qualitative factors and quantitative factors. In this study, for qualitative factors, based on the criteria needed by PT GMT. This research produces three Linear Programming models, first: a qualitative objective function that will be maximized called the Total Value of Purchase (TVP). TVP is an integration of the Analytical Hierarchy Process (AHP) and Mix Integer Programming Integration. Second, the quantitative objective function for the procurement cost of raw materials, which is called the Total Cost of Purchase (TCP). The third is to optimize qualitative and quantitative simultaneously using the Goal Programming method. The selection of suppliers based on TVP the total value is 97.25, and the total procurement cost is Rp. 36,914,000, based on TCP, the total value is 89.14, and the total of procurement cost is IDR 31,356,000, while based on Goal Programming, the total value is 93.18, and the total of procurement cost is IDR 32,621,000. PT GMT has been able to determine the optimal supplier based on the policies set.

Integrated ANP and TOPSIS Method for Supplier Performance Assessment Natalia, Christine; Surbakti, Ita Primsa; Oktavia, Chendrasari Wahyu
Jurnal Teknik Industri Vol 21, No 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

A supplier has become one of the main factors that influence the success of a company's supply chain activities. Supplier assessment is vital as suppliers have different performance. This study aims at assessing supplier performance using the integration of ANP and TOPSIS methods. Supplier performance assessment was based on supplier criteria indicators. Weighting criteria used ANP used to determine the most significant influence criteria of supplier performance.Furthermore,Â TOPSIS was also employed to obtain supplier preference. Eight criteria and twenty-five sub-criteria were used for the supplier performance assessment.Â The three highest sub-criteria were specification of quality, the flexibility of order changes, and production capacity. The priority results for suppliers were sorted from the highest to lowest ratio values.Â

INTERPRETIVE STRUCTURAL MODELING AND HOUSE OF RISK IMPLEMENTATION FOR RISK ASSOCIATION ANALYSIS AND DETERMINATION OF RISK MITIGATION STRATEGY Natalia, Christine; Br. Hutapea, Yulitari Flora Theresa; Oktavia, Chendrasari Wahyu; Hidayat, Trifenaus Prabu
Jurnal Ilmiah Teknik Industri Vol. 19, No. 1, June 2020
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i1.9014

The increasingly fierce industry competition causes each company needs strong supply chain activities as part of the company to be able to survive in an environment full of competition. In carrying out supply chain activities, it is certainly inseparable from supply chain risks that can disrupt supply chain activities. In supply chain risk it is important to know the key risks as the risks that trigger the other risks in the supply chain. This study aims to identify the relationship of risk and mitigation to reduce the causes of the risk. The interpretive structural modeling (ISM) approach is applied to solve problems related to risk linkages and produced key risks which are the risks that most influence the occurance of other risks. The key risks obtained are then processed using the house of risk (HOR) approach to determine the priority of risk mitigation actions. ISM result obtained four key risks, namely the risk element of inputting data error when entering the number of goods and spesifications, product spesification errors desired by the customer, frequent changes in customer design requests and revisions to the design drawings. Then the result of the HOR method obtained four recommended priority mitigation actions, namely updating information on a scheduled basis, conducting briefings every day before work, coordinating and reconfirming requests for product spesifications, and implementing more strigent worker selection procedures. The linkage of the causes of risk, the validation of the ISM model statistically and the weighting of the triggered criteria are several aspects that further research is needed.

Integrated analytic hierarchy process and mixed integer programming for supplier selection in mold and dies industry Agustinus Silalahi; Ronald Sukwadi; Duhita Al Hayyu Pramesjwari; Chendrasari Wahyu Oktavia; Christine Natalia
Jurnal Sistem dan Manajemen Industri Vol. 3 No. 2 (2019)
Publisher : Universitas Serang Raya

PT. GMT has a mission to deliver the products to the customer on time and high-quality products to improve services. Sometimes, the delivery of product delays caused by the raw materials delays or didn't meet specifications. Selection optimal suppliers of raw materials are one of the solutions. There are two factors must be considered for the selection of suppliers, qualitative factors and quantitative factors. In this study, for qualitative factors, based on the criteria needed by PT GMT. This research produces three Linear Programming models, first: a qualitative objective function that will be maximized called the Total Value of Purchase (TVP). TVP is an integration of the Analytical Hierarchy Process (AHP) and Mix Integer Programming Integration. Second, the quantitative objective function for the procurement cost of raw materials, which is called the Total Cost of Purchase (TCP). The third is to optimize qualitative and quantitative simultaneously using the Goal Programming method. The selection of suppliers based on TVP the total value is 97.25, and the total procurement cost is Rp. 36,914,000, based on TCP, the total value is 89.14, and the total of procurement cost is IDR 31,356,000, while based on Goal Programming, the total value is 93.18, and the total of procurement cost is IDR 32,621,000. PT GMT has been able to determine the optimal supplier based on the policies set.

ANALISIS PENGARUH PENDEKATAN ECONOMIC ORDER QUANTITY TERHADAP PENGHEMATAN BIAYA PERSEDIAAN Chendrasari Wahyu Oktavia; Christine Natalia
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 15, No 1 (2021): Jurnal PASTI
Publisher : Universitas Mercu Buana

PT. UYZ adalah perusahaan manufaktur bumbu pangan membutuhkan gula sebagai kandungan di dalam bumbu pangan. Namun, saat ini adanya ketidakpastian hasil penjualan dan jumlah pemakaian dan tingginya total biaya persediaan menyebabkan perlunya metode pengendaliaan persediaan. Penelitian ini bertujuan untuk mengetahui kuantitas pembelian gula yang ekonomis dan optimal, menentukan jumlah safety stock, menentukan reorder point, menentukan maksimum persediaan di gudang, dan menentukan komponen biaya yang mana saja yang menyebabkan tingginya total biaya persediaan, dan mengetahui besar biaya penghematan dengan mengimplementasikan economic order quantity secara berkesinambungan. Hasil dari usulan metode EOQ adalah jumlah pemakaian gula untuk setiap kali pesan adalah 5846 kg, besar safety stock dan maksimum persediaan adalah 69.937 kg dan 75.783 kg, besar reorder point diperoleh 74.732 kg, dan penghematan total biaya pemesanan sebesar 1.405.415 dan total biaya persediaan keseluruhan adalah Rp. 924.665.

Integrated ANP and TOPSIS Method for Supplier Performance Assessment Christine Natalia; Ita Primsa Surbakti; Chendrasari Wahyu Oktavia
Jurnal Teknik Industri Vol. 21 No. 1 (2020): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

A supplier has become one of the main factors that influence a company's supply chain activities. Supplier assessment is vital as suppliers have different performance. This study aims at assessing supplier performance using the integration of ANP and TOPSIS methods. Supplier performance assessment was based on supplier criteria indicators. The weighting criteria used ANP was used to determine the most significant influence criteria of supplier performance. Furthermore, TOPSIS was also employed to obtain supplier preference. Eight criteria and twenty-five sub-criteria were used for the supplier performance assessment. The three highest sub-criteria were specification of quality, the flexibility of order changes, and production capacity. The priority results for suppliers were sorted from the highest to lowest ratio values.

Interpretive Structural Modeling and House of Risk Implementation for Risk Association Analysis and Determination of Risk Mitigation Strategy Christine Natalia; Yulitari Flora Theresa Br. Hutapea; Chendrasari Wahyu Oktavia; Trifenaus Prabu Hidayat
Jurnal Ilmiah Teknik Industri Vol. 19, No. 1, June 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i1.9014

The increasingly fierce industry competition causes each company needs strong supply chain activities as part of the company to be able to survive in an environment full of competition. In carrying out supply chain activities, it is certainly inseparable from supply chain risks that can disrupt supply chain activities. In supply chain risk it is important to know the key risks as the risks that trigger the other risks in the supply chain. This study aims to identify the relationship of risk and mitigation to reduce the causes of the risk. The interpretive structural modeling (ISM) approach is applied to solve problems related to risk linkages and produced key risks which are the risks that most influence the occurance of other risks. The key risks obtained are then processed using the house of risk (HOR) approach to determine the priority of risk mitigation actions. ISM result obtained four key risks, namely the risk element of inputting data error when entering the number of goods and spesifications, product spesification errors desired by the customer, frequent changes in customer design requests and revisions to the design drawings. Then the result of the HOR method obtained four recommended priority mitigation actions, namely updating information on a scheduled basis, conducting briefings every day before work, coordinating and reconfirming requests for product spesifications, and implementing more strigent worker selection procedures. The linkage of the causes of risk, the validation of the ISM model statistically and the weighting of the triggered criteria are several aspects that further research is needed.

Design of Corn Kernel Separator Machine for Animal Feed Sheila Tobing; Jordy Salim; Chendrasari Wahyu Oktavia
MITRA: Jurnal Pemberdayaan Masyarakat Vol 4 No 2 (2020): MITRA: Jurnal Pemberdayaan Masyarakat
Publisher : Institute for Research and Community Services

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/mitra.v4i2.1076

The corn kernel separator machine discussed in this paper is designed for our partner, a cow breeder in Cisarua, Bogor. Our partner currently has a corn kernel separator that can work at a capacity of 50 kg per hour, but the results of the separation of kernels by the machine are not clean and the open design of the separator makes the corn kernels difficult to collect. Besides, it is challenging to find replacement parts in case of a machine failure. Our partner needs a new corn kernel separator to meet the growing need for feed as the number of cows increases. The purpose of this project is to design and build a corn kernel separator that can meet the need for animal feed at the partner’s farm. The stages of the design conducted are as follows. It begins with identifying the problems to be solved, followed by the concept design and determination of variants, the implementation of the best variant, and the detailed design including calculations needed before fabrication. The result of the design process is the realization of a corn kernel separator machine with an average capacity of a minimum of 138 kg per hour that meets the requirement of the partner. Besides, with this new corn kernel separator, the results of the separation are neater and the corn kernels are not thrown out of the machine during the separation process. The machine uses a shaft with a combination of pins and chains to separate the kernels and is driven by a 1-phase electric motor.

Pendekatan Metode Interpretive Structural Modeling dalam Penentuan Kriteria Kunci Pemilihan Supplier Pada Perusahaan Konstruksi Chendrasari Wahyu Oktavia; Christine Nathalia; Sherly Gunawan Tjhong
Jurnal Tiarsie Vol 16 No 3 (2019): Jurnal TIARSIE 16.3 Edisi RITEKTRA IX
Publisher : Fakultas Teknik Universitas Langlangbuana

Keberadaan supplier bagi perusahaan memegang peranan penting terutama di dalam menjamin ketersediaan material. Oleh karena itu, perlunya melakukan pemilihan supplier dengan didasarkan pada kriteria. Namun, aktivitas pemilihan supplier bukanlah suatu hal yang mudah karena perusahaan harus dihadapkan oleh beberapa kriteria yang dibuat sebagai dasar penilaian dalam pengambilan keputusan. Oleh karena iu, tujuan dari penelitian ini adalah memetakan kriteria pemilihan supplier, dan menentukan kriteria kunci yang tepat dalam pemilihan supplier. Permasalahan dalam pemilihan supplier ini diselesaikan dengan metode interpretive structural modeling (ISM). Metode ini akan membantu dalam memetakan dan mendapatkan kriteria kunci dalam pemilihan supplier dengan melihat sisi keterkaitan antar satu kriteria dengan kriteria lain. Berdasarkan hasil dari pengolahan data, terdapat 21 kriteria yang digunakan oleh perusahaan sebagai acuan dasar dalam pemilihan supplier. Namun, kriteria acuan tersebut perlu diolah kembali dengan menggunakan metode ISM. Hasil dari metode ISM diperoleh 19 kriteria kunci yakni kualitas, pengiriman, harga, pelayanan perbaikan, keandalan (reliabilitas), fleksibilitas, sikap, sistem komunikasi, sejarah performansi, konsistensi, hubungan jangka panjang, hubungan timbal balik, standar kualitas, integritas, profesionalisme, reputasi dan posisi dalam industri, pengendalian operasional, jumlah kerja sama masa lampau, dan ketersediaan. Kriteria-kriteria ini adalah kriteria kunci yang digunakan sebagai dasar dalam pengambilan keputusan.

Penentuan Jalur Rute Distribusi Produk Fast Moving Consumer Goods (FMCG) dengan Menggunakan Metode Nearest Neighbour (Studi Kasus: PT.XYZ) Chendrasari Wahyu Oktavia; Christine Natalia; Indra Adigunawan
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 5, No 2 (2019)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v5i2.357

Abstrak - PT. XYZ merupakan perusahaan logistik yang bergerak dalam pendistribusian produk ke seluruh area JABODETABEK. Dalam menjalankan aktivitas proses pendistribusian, perusahaan dihadapkan pada kondisi permasalahan yaitu perusahaan diharuskan untuk mengunjungi dan melayani konsumen dengan lokasi yang tersebar di area JABODETABEK dengan tetap memperhatikan kapasitas muatan dari armada dan rute yang dilalui kendaraan. Oleh karena itu, diperlukan penentuan rute yang tepat agar perusahaan dapat memenuhi pengiriman tepat waktu kepada konsumen. Dengan adanya masalah tersebut, penelitian ini bertujuan untuk melakukan optimasi rute kendaraan dengan metode nearest neighbor agar mampu meminimalisir total jarak, total waktu dan biaya distribusi yang kemudian akan dianalisa perbandingan data aktual dan nearest neighbor. Pada penelitian ini menggunakan metode nearest neighbor. Hasil yang didapatkan dari penelitian ini adalah: (1) Mampu mengurangi persentase rata-rata jarak tempuh kendaraan dalam bulan Oktober 2018 sebesar 27% atau 44,09 km tiap harinya, (2) Mengurangi total waktu tempuh 157 menit dari data aktual, (3) Mampu menghemat total biaya sebesar 15% atau Rp. 53,458 tiap harinya. Dengan demikian metode pendekatan nearest neighbor mampu mengurangi biaya distribusi yang dikeluarkan oleh perusahaan tiap bulan.Abstract – PT. XYZ is a logistics company engaged in the distribution of products throughout the Greater Jakarta area. In carrying out the distribution process activities, the company is faced with the requirements of the problem about the company required to provide information and serve consumers with locations scattered in the Greater Jakarta area with due regard to capacity of vehicle and route. Therefore, it is necessary to determine the right route so that companies can meet timely deliveries to consumers. Given these problems, this study aims to optimize vehicle routes with the nearest neighbor method so as to minimize the time and cost of distribution which will then be analyzed to analyze the actual data and the nearest neighbors. In this study using the nearest neighbor method. The results obtained from this study are: (1) Able to reduce the average percentage of vehicle mileage in October 2018 by 27% or 44,09 km per shipment. (2) reduce total travel time of 157 minute from actual data, (3) Able to increase total costs by 15% or Rp. 53,458. Thus,the method of taking the nearest neighbor can reduce the distribution costs incurred by the company each month.Keywords – Distribution cost, Nearest neighbor, Route determination

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