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All Journal Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri IJIES (International Journal of Innovation in Enterprise System) eProceedings of Engineering
Saskia Puspa Kenaka
Institut Teknologi Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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DETERMINATION OF INVENTORY PERIODIC REVIEW POLICY (R, s, S) USING POWER APPROXIMATION METHOD FOR MINIMIZE TOTAL INVENTORY COST IN PT. OPQ Wia, Ratna; Aurachman, Rio; Kenaka, Saskia Puspa
International Journal of Innovation in Enterprise System Vol 3 No 01 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v3i01.108

Abstract

PT. OPQ is a company engaged in the automotive manufacturing industry. The company produces bolts for the safety area, it is related to the lower body of the four-wheeled vehicle. PT. OPQ was established in 2014 and today has already been the supplier for several major automotive companies in Indonesia. The demand of PT OPQ that must be fulfilled is increasing as the amount of consumer is increasing too. Due to the high demand, so the raw material stockout occurs. This make the company's service level is below the standard. This study involved 48 sku of material raw materials that have normal distributed demand. Inventory policy applied in this research is periodic review (R, s, S) with the aim to minimize total cost of inventory and improve service level of company. The result of this research was found to decrease total inventory cost by 15% with the value of existing inventory cost Rp1.100.879.479,- to Rp 936.061.349,- . In addition, service level at PT. OPQ has increased with the value of existing conditions 85% to 99%.  
DETERMINATION OF INVENTORY PERIODIC REVIEW POLICY (R, s, S) USING POWER APPROXIMATION METHOD FOR MINIMIZE TOTAL INVENTORY COST IN PT. OPQ Ratnawia -; Rio Aurachman; Saskia Puspa Kenaka
International Journal of Innovation in Enterprise System Vol 3 No 01 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v3i01.33

Abstract

OPQ is a company engaged in the automotive manufacturing industry. The company produces bolts for the safety area, it is related to the lower body of the four-wheeled vehicle. PT. OPQ was established in 2014 and today has already been the supplier for several major automotive companies in Indonesia. The demand of PT OPQ that must be fulfilled is increasing as the amount of consumer is increasing too. Due to the high demand, so the raw material stockout occurs. This make the company's service level is below the standard. This study involved 48 sku of material raw materials that have normal distributed demand. Inventory policy applied in this research is periodic review (R, s, S) with the aim to minimize total cost of inventory and improve service level of company. The result of this research was found to decrease total inventory cost by 15% with the value of existing inventory cost Rp1.100.879.479,- to Rp 936.061.349,- . In addition, service level at PT. OPQ has increased with the value of existing conditions 85% to 99%. Keywords—Raw Material, Periodic Review, Probabilistic, Service Level, Stock out
Perancangan Sistem Pendukung Keputusan Pemilihan Supplier Menggunakan Metode Analytic Hierarchy Process (ahp) Dan Data Envelopment Analysis (dea) Di Pt Pindad Mohammad Gian Harlawan; Ari Yanuar Ridwan; Saskia Puspa Kenaka
eProceedings of Engineering Vol 5, No 3 (2018): Desember 2018
Publisher : eProceedings of Engineering

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Abstract

Abstrak PT Pindad merupakan salah satu perusahaan yang bergerak di industri manufaktur di Indonesia. Salah satu produk PT Pindad yang dapat digunakan secara komersil adalah Excavator dengan merek Excava 200. Produksi Excava 200 baru berjalan selama dua tahun yang dimulai pada Juli 2016. Dalam dua tahun produksi Excava 200, PT Pindad beberapa kali mengganti supplier yang menyediakan part Excava 200. Pergantian supplier yang cukup sering terjadi karena belum adanya supplier yang tepat untuk dapat bekerja sama dalam jangka panjang dengan PT Pindad. Tujuan dari penelitian ini adalah perancangan sistem pendukung keputusan yang dapat membantu dalam pemilihan supplier dengan mempertimbangkan berbagai kriteria kualitatif dan kriteria kuantitatif. AHP digunakan untuk memberikan nilai kriteria kualitatif dan kriteria kuantitatif didapatkan dari data PT Pindad. Nilai kriteria tersebut dijadikan acuan dalam melakukan evaluasi efisiensi setiap alernatif supplier dengan menggunakan metode Basic DEA (CCR Model). Untuk penentuan ranking setiap alternatif supplier diselesaikan dengan menggunakan metode Super-efficiency DEA. Bobot alternatif supplier yang paling besar adalah Supplier 4 dengan 2,381. Sistem pendukung keputusan dirancang menggunakan Macro VBA pada Excel 2013. Keyword : decision support system, data envelopment analysis, analytic hierarchy process, visual bacis for application, macro, supplier Abstract PT Pindad is one of the companies engaged in the manufacturing industry in Indonesia. One of PT Pindad's products that can be used commercially is Excava 200 brand Excavators. Production of Excava 200 has only been running for two years starting in July 2016. Within two years of Excava 200 production, PT Pindad changed suppliers several times. Supplier changes are quite frequent due to the absence of the right supplier to be able to cooperate in the long term with PT Pindad. The purpose of this study is to design a decision support system that can assist in selecting suppliers by considering various qualitative criteria and quantitative criteria. AHP is used to provide qualitative criteria values and quantitative criteria values obtained from PT Pindad’s data. The criteria are used as a reference in evaluating the efficiency of each supplier using the Basic DEA (CCR Model) method. For ranking determination, each alternative supplier is completed using the Superefficiency DEA method. The largest alternative weight of suppliers is Supplier 4 with 2,381. The decision support system is designed using Macro VBA in Excel 2013. Keyword : decision support system, data envelopment analysis, analytic hierarchy process, visual bacis for application, macro, supplier
Usulan Kebijakan Persediaan Produk Fast Moving Consumer Goods Untuk Meminimasi Total Biaya Inventory Menggunakan Metode Continuous Review (s, Q) Pada Pt. Abc Liliana Liliana; Dida Diah Damayanti; Saskia Puspa Kenaka
eProceedings of Engineering Vol 5, No 3 (2018): Desember 2018
Publisher : eProceedings of Engineering

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Abstract

Abstrak— PT. ABC merupakan sebuah perusahaan manufaktur yang bergerak dibidang pembuatan produk FMCG non-food. PT. ABC menggunakan model bisnis dual-channel yang dimana perusahaan menjualkan produknya secara bersamaan offline (store) dan online (e-commerce). Dalam melakukan pemenuhan permintaan, diketahui bahwa setiap bulannya PT. ABC tidak dapat memenuhi secara maksimal. Permintaan yang tidak terpenuhi ini diakibatkan banyaknya produk yang tidak tidak tersedia (stockout). Stockout yang terjadi, menyebabkan biaya persediaan pada PT. ABC menjadi tinggi. Berdasarkan kasus yang ada, perlu dilakukannya pengendalian persediaan sehingga permintaan dapat terpenuhi dan mencapai target yang sudah ditetapkan perusahaan dan juga mengurangi total biaya persediaan yang dikeluarkan. Pada penelitian ini ditentukan kebijakan persediaan optimum menggunakan metode continuous review (s, Q) dengan produk yang memiliki pola distribusi permintaan normal. Berdasarkan hasil perhitungan dengan menggunakan metode continuous review (s, Q), terdapat penghematan total biaya persediaan, dimana total biaya persediaan aktual sebesar RP 220.400.242,33 berkurang menjadi sebesar Rp 89.372.820,99, sehingga terdapat total penghematan biaya persediaan yaitu Rp 188.930.313 yaitu 67,9% untuk area offline. Sedangkan untuk area online total biaya persediaan aktual adalah sebesar Rp 29,514,520.20 menjadi sebesar Rp 6,254,992.50 dengan total penghematan sebesar Rp 23,259,528 atau sebesar 78.8%. Kata kunci: Kebijakan Persediaan, Stockout, Continuous Review (s, Q) , Dual-Channel Abstract— PT. ABC is a distributor company engaged in the sale of non-food FMCG products. PT. ABC uses a dual-channel business model in which the company sells its products simultaneously offline (store) and online (ecommerce). In fulfilling the demand is known that every month PT. ABC can not fulfill optimally. Unmet demand is the result of a lot of products that are not available (stockout). Stockout causes inventory costs at PT. ABC is high. Based on the existing case, it is necessary to do inventory control so that the demand can be fulfilled and reach the target set by the company and also reduce the total inventory cost. In this research, optimum inventory policy is determined using continuous review method (s, Q) with products that have normal demand distribution pattern. Based on the calculation result using continuous review method (s, Q), there is a savings in total inventory costs, where the total actual inventory costs is Rp. 220,400,242.33 reduced to Rp. 89,372,820.99, so there is a total inventory cost savings is Rp. 188,930,313 which is 67.9% for offline areas. And for online area the total inventory costs is Rp. 29,514,520.20 reduced to Rp. 6,254,992.50, so there is a total inventory cost savings is Rp. 23,259,528 which is 78.8%. Keywords: Inventory Policy, Stockout, Continuous Review (s, Q), Dual-Channel
DETERMINATION OF INVENTORY PERIODIC REVIEW POLICY (R, s, S) USING POWER APPROXIMATION METHOD FOR MINIMIZE TOTAL INVENTORY COST IN PT. OPQ Syafira, Jihan Herdiyanti; -, Ratnawia; Aurachman, Rio; Kenaka, Saskia Puspa
International Journal of Innovation in Enterprise System Vol. 3 No. 1 (2019): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

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

Abstract

OPQ is a company engaged in the automotive manufacturing industry. The company produces bolts for the safety area, it is related to the lower body of the four-wheeled vehicle. PT. OPQ was established in 2014 and today has already been the supplier for several major automotive companies in Indonesia. The demand of PT OPQ that must be fulfilled is increasing as the amount of consumer is increasing too. Due to the high demand, so the raw material stockout occurs. This make the company's service level is below the standard. This study involved 48 sku of material raw materials that have normal distributed demand. Inventory policy applied in this research is periodic review (R, s, S) with the aim to minimize total cost of inventory and improve service level of company. The result of this research was found to decrease total inventory cost by 15% with the value of existing inventory cost Rp1.100.879.479,- to Rp 936.061.349,- . In addition, service level at PT. OPQ has increased with the value of existing conditions 85% to 99%. Keywords—Raw Material, Periodic Review, Probabilistic, Service Level, Stock out
Comparison Study of Neighborhood Structures in Local Search for Vehicle Routing Problem with Multiple Trips and Time Windows Kenaka, Saskia Puspa; Suprayogi, Suprayogi
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.161-170

Abstract

This paper deals with the vehicle routing problem with multiple trips and time windows (VRPMTTW). The problem combines two features to the basic vehicle routing problem (VRP): multiple trips and time windows. The basic VRP and its variants fall into hard combinatorial optimization problems. Therefore, many heuristics have been developed to solve large problems. Local search (LS) is one of the heuristics using a neighborhood structure in order to find a better solution. This paper focuses on the comparative study of neighborhood structures applied in LS for the VRPMTTW. Two classes of neighborhood structures are compared: Tour-based and permutation-based neighborhood structures. The tour-based neighborhood structures are the neighborhoods in which the moves are performed on the solution represented by a set of tours. The permutation-based neighborhood structures are the neighborhood structures in which the moves are carried out on the solution represented by a permutation of customers. Comparing the performance of the neighborhood structures uses two responses: (1) relative improvement in the objective function value and (2) computation time. The first response is used to measure effectiveness, while the second is used as efficiency. Based on the computational experiment results, it is generally revealed that the permutation-based neighborhood structures used in LS are more effective than the tour-based neighbourhood structures. However, the permutation-based neighborhood structures are less efficient because they give higher computation times.
Co-Authors -, Ratnawia Ari Yanuar Ridwan Dida Diah Damayanti Liliana Liliana Mohammad Gian Harlawan Ratnawia - Rio Aurachman Suprayogi Suprayogi Syafira, Jihan Herdiyanti Wia, Ratna