Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

Pemilihan Pemasok Baterai Forklift Elektrik dengan Menggunakan Metode AHP dan TOPSIS di Industri Manufaktur Otomotif Satriyo Maulana; Anwar Martua Pasaribu; Winnie Septiani
Operations Excellence: Journal of Applied Industrial Engineering Vol. 14, No. 3, (2022): OE NOVEMBER 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i3.060

Abstract

The activity of the automotive manufacturing industry continues to increase. The selection of electric forklift battery suppliers needs to be done because they are environmentally friendly and do not produce air pollution. Supplier selection is very important in determining the speed of delivery and the quality of raw materials to be able to meet consumer demands quickly and with quality. The purpose of this research is to select the best battery supplier and in accordance with the company's qualifications. The method used in completing this research is the Analytical Hierarchy Process (AHP) and Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) in assisting decision-making. The AHP method is used to determine the most dominant criterion with a pairwise comparison matrix to determine the weight. Then the weight value is used as input in the calculation of the TOPSIS method to determine the ranking. The contribution of this research can be applied in the automotive manufacturing industry in selecting electric forklift battery suppliers. Based on the calculation results, it is known that the price criterion is the most dominant criterion with a weight of 0.463. Price is a parameter that is often used by every company. In addition to price criteria, there are also important criteria, including service life 0.270, quality 0.144, service 0.079, and flexibility 0.044. Based on TOPSIS calculations, it is known that the Rocket supplier is ranked 1st and is a priority to become a supplier in the selection of forklift batteries in the automotive manufacturing industry.
Multi criteria decision making to determine the location of Via Laundry's branch Theodora, Tania; Septiani, Winnie; Dewayana, Triwulandari S
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 1, (2024): OE March 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i1.099

Abstract

Decision of choosing the right business location will determine the future development of the business itself. Location decision making is not only important in terms of costs and profits but is also one part of a company's strategic planning which is significant in increasing competitive advantage. Via Laundry’s owners has decided to open a new store branch to expand their business as it has been well-operated for 3 years. Business owners have determined several alternatives for this new branch’s location, namely Transpark Djuanda Bekasi, Jakarta Garden City, and Harapan Indah. The purpose of this study will help business owners to better decide preferred location for the new branch by using multi-criteria decision making, which is AHP and TOPSIS combined methods. Determination of criteria and alternatives is carried out based on the results of discussions with experts, namely business owners and their business partners. Experts also assess the importance of each criterion to produce a pairwise comparison matrix. Based on the results of calculations using the AHP method, priority vector values are obtained for the 6 criteria from the highest to the lowest weight, namely population density (0.370), water cleanliness (0.249), rental costs (0.131), land area (0.103), ease of access roads (0.093), and competitiveness level (0.054). Calculation using AHP method generate weight of each criterias which is then used in TOPSIS. By comparing the distance with ideal solution, preference value for each alternative can be obtained, namely 0.3053 for Jakarta Garden City, 0.3624 for Harapan Indah, and 0.8009 for Transpark Djuanda Bekasi. The chosen location recommendation for Via Laundry’s new branch is Transpark Djuanda Bekasi with the highest preference value of 0.8009.
Integration of balanced scorecard and analytical hierarchy process to measure the performance of supporting unit in aircraft maintenance service companies Utami, Nur Aulia; Dewayana, Triwulandari; Septiani, Winnie
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 1, (2024): OE March 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i1.0103

Abstract

Dynamic and challenging business environment in the aircraft maintenance services industry require company to survive and ensure business continuity. To realize effective performance, performance measurement is needed as a management system for managing and controlling performance. The purpose of this research is to measure the performance of supporting unit at PT. XYZ by using balanced scorecard framework that is integrated with AHP. The steps in this research includes identification strategy objective, identification key performance indicator (KPI), design and measure performance using integrated balanced scorecard  and AHP. The method used in this study combines quantitative data with the Analytical Hierarchy Process (AHP) approach. The AHP method is used for KPI weighting. The design of KPI weights for each perspective in balanced scorecard are 42,3 % for the learning and growth, 33,5% for internal business process, 17,3% for financial, and 6,8% for the customer perspective.  The results of supporting unit performance show the lowest score in the learning and growth perspective with average performance indicator, while in internal business process, financial and customer perspective have good performance indicator. The result of measuring total performance of four perspective are 74,5% which indicates that the performance of PT.XYZ’s BSC is in the good enough category.
Co-Authors A.A. Ketut Agung Cahyawan W Achmad Noerkhaerin Putra Adi Sucipto, Adi Adiatmaja, Novianto Hary Agung Hananto Alkatiri, Mush’ab Syakieb Andakara Edo Wardhana Annisa Dewi Akbari, Annisa Dewi Anwar Martua Pasaribu Ardiansyah, Dino Astri Rinanti Astrin Ega Dahana Audinia Angraeni Bambang Cholis Benediktus Prayoga Wijayanto Benza Hadi Perdana Brata, Ewaldo Dedy Sugiarto Dewayana, Triwulandari Satitidjati Dian Mardi Safitri Didien Suhardini Dino Ardiansyah Dorina Hetharia Dorina Hetharia Elfira Febriani Harahap Emelia Sari Ewaldo Brata Fachrul, Melati Feuranita Faradilla, Arnes Farhan, Mhd. Andi Fitria Helmanila Garamba, Niscaya Filijomasi Harahap, Elfira Febriani Hartini Harumi Yuniarti Hendrawan, Diana Irvindiaty Heni Hindayanti I Nyoman Larry Julianto Idriwal Mayusda Ika Wahyu Utami Indah Permata Sari Ischak, Mohammad Ivanna Ivanna Iveline Anne Marie Johnson Saragih Kansa, Syafa Khairunnisa, Minda KHOMSIYAH Liesbetini Haditjaroko Lukmanul Hakim Lukmanul Hakim M. Syamsul Maarif Marimin , Martino Luis Melati Ferianita Fachrul Melati Feuranita Fachrul Minarti, Astari Minda Khairunnisa Mohammad Ischak Nataya Charoonsri Rizani Nazaruddin Nazaruddin Nora Azmi Nora Azmi Novia Rahmawati Pudji Astuti PUDJI ASTUTI Ratna Mira Yojana Ratnaningsih Ruhiyat Richy Wijaya Rico Bramandita Sabhira, Chintya Salwa Sally Cahyati Samy Natsir Alwinny Satriyo Maulana Sucipto Adi Suwiryo Suryana, Yunita Friscillia Taufik Djatna Theodora, Tania Tjhwa Endang Djuana Triwulandari S Dewayana, Triwulandari S Triwulandari Satitidjati Dewayana Triwulandari Satitidjati Dewayana Triwulandari Satitidjati Dwiyana Triwulandari SD, Triwulandari Utami, Nur Aulia Wahyuni, Annisa Tri Wegig Murwonugroho Yandra Arkeman Yogi Setyawan Yojana, Ratna Mira