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All Journal Jurnal Manajemen Teknologi Journal of Business and Management The Indonesian Journal of Business Administration KURVA S JURNAL MAHASISWA Gadjah Mada International Journal of Business EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis The Asian Journal of Technology Management (AJTM) AGRIMOR Jurnal Mirai Management Jurnal Manajemen Indonesia Syntax Literate: Jurnal Ilmiah Indonesia Journal of Economic, Bussines and Accounting (COSTING) SEIKO : Journal of Management & Business International Journal of Supply Chain Management The International Journal of Business Review (The Jobs Review) Al-Kharaj: Journal of Islamic Economic and Business Community Engagement and Emergence Journal (CEEJ) Journal of Economics and Business UBS International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) The South East Asian Journal of Management International Journal of Management, Entrepreneurship, Social Science and Humanities (IJMESH) Eduvest - Journal of Universal Studies Amkop Management Accounting Review (AMAR) Jurnal Bisnis dan Pemasaran Digital Studi Akuntansi dan Bisnis Indonesia
Dermawan Wibisono
School Of Business And Management Institut Teknologi Bandung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Transportation Other

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PROPOSED DESIGN OF STRATEGIC SOURCING AND PRODUCTION BOTTLENECK MANAGEMENT FOR REVENUE MAXIMIZATION: AN OPERATIONAL PERFORMANCE ANALYSIS OF PT. ELSEWEDY ELECTRIC INDONESIA Agung Sukma Hardana; Dermawan Wibisono
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 5 No. 1 (2025): February
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v5i1.2496

Abstract

This study aims to analyze strategic sourcing and production bottleneck management to maximize revenue of PT. Elsewedy Electric Indonesia. The company faces challenges in meeting increasing market demand, especially in the renewable energy sector. The company's main challenge is the mismatch between current production capacity, which is optimized for medium to high capacity transformers, and market demand that is shifting towards smaller transformers. This study uses qualitative and quantitative approaches. Qualitative data were collected through semi-structured interviews with five stakeholder: (1) General Manager, (2) Head of Production, (3) Production Manager and (4) Sourcing Manager from PT. EEI. Quantitative data include historical production data, cycle time data from MOST (Maynard Operation Sequence Technique) studies, and actual machine or workspace data. SWOT analysis is used to map sourcing strategies, and MOST studies are used to calculate production cycle time and plant capacity. The Balanced Scorecard (BSC) is implemented to align operational performance with long-term financial targets. The Balance Scorecard covers four perspectives, namely financial, customer, internal process, and learning & growth, with a total of 10 strategic objectives. The research findings show that the Dry Oven and testing stages are bottlenecks in the production process. The maximum monthly capacity is 14 units or equivalent to 840 MVA, while the winding process can produce 19 units or equivalent to 1140 MVA. Strategic recommendations include the application of vapor phase drying technology can reduce drying time by 20%, diversifying suppliers for long-term delivery materials by adding 2-3 new vendors, implementing the optional strategy of building Testbay 3 to increase testing capacity by 30%, and reallocating 50% of production to high-value MV/HV transformers, which is projected to increase annual output from 10,080 MVA to 12,983 MVA. The limitation of this study is that no investment calculations were made on the optional strategy of building the new Testbay 3. The scenario implementation recommendations are divided into two stages: (1) Short term, including the implementation of vapor phase drying technology, supplier diversification, and the implementation of effective product portfolio reallocation, and (2) Optional strategy including the construction of Testbay 3 taking into account the strategic evaluation of scenario 1.
DEMAND PATTERN-SPECIFIC FORECASTING FOR SPARE-PART INVENTORY: ENSEMBLE MODEL EVIDENCE FROM INDONESIAN HEAVY EQUIPMENT DISTRIBUTION Like Ati Handayani; Dermawan Wibisono
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 3 (2026): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21486023

Abstract

PT Cakra Harmoni Sentosa (HCS), the largest heavy equipment distributor in Indonesia, faces a supply chain performance problem at its highest-revenue plant, Plant Sungai Danau (SDU). With IDR 1.1 trillion in annual spare-part transactions, SDU records a customer service level of 75%, which is five percentage points below the 80% target, while Days of Inventory reaches 87 days against the 75-day benchmark. Both shortfalls originate from reliance on a 12-month Moving Average forecasting method applied uniformly across a portfolio where 90% of SKUs show intermittent or lumpy demand patterns. This paper evaluates 23 forecasting model variants per demand pattern through walk-forward validation. Methods tested range from classical statistical approaches including Croston, SBA, and TSB to machine learning models such as XGBoost and LightGBM, deep learning architectures including LSTM and N-Beats, and ensemble combinations. Performance is assessed using RMSE and MAE on non-zero periods alongside the Stock-Keeping-Oriented Prediction Error Cost metric with stockout-weighted parameters. Findings show that a demand-pattern-specific Ensemble of SES, SBA, LSTM, and N-Beats achieves the strongest performance for lumpy and intermittent SKUs, cutting RMSE by 43.9% and SPEC by 36.3% on lumpy items relative to the MA12 baseline.
Co-Authors , Akhiyar , Akhyar . Meiliza, . Adrian Pasca Aghnia Nadhira Aliya Putri Agung Sukma Hardana Agus Purwadi Ahmad Kemal Arsyad Alpha Nur Setyawan Pudjono Alpha Pudjono Amanah Pasaribu Andri Budhiman Firmanto Arief Andhella Aries F Firman Assydik, Muhammad Handeriyan Bagus Budianto Berlit Deddy Setiawan Binti Hassan, Radiah Chairuna, Dina Cornell, Axel William Didi Kurniadi Halim Durio Etgar Durio Etgar Dwi Rian Sulaeman Fabian Zaki Geraldy Hasibuan Fadrian Dwiki Maulanda Habsoro, Moh Akhim Bayu Hadiyanto, Haris Harimukti Wandebori Herry Hudrasyah Hoa, Hong Mee Husodo, Widodo Kukuh Sujatmiko I Nyoman Sardjana Ima Fatima, Ima Izhar Rahman Dwiputra Jonathan, Ivan Kukuh M Rahardjo Laksamana Naufal Hibban Like Ati Handayani Madju Yuni Ros Bangun Manahan Parlindungan Saragih Siallagan Maudy Farras Raihan Meita Annisa Nurhutami Mohammad Wisaksono Mohammad Zaki Mubarok Mohammed K. Khan Mohammed K. Khan Muhammad Handeriyan Assydik Muhammad Shidqi, Roza Mursyid Hasan Basri Mustika Sufiati Purwanegara Nabilla, Faradhina Astri Nanda Ravenska Oktorius Kosasih Rahmat Hidayat Rahmat Hidayat Rahmawati, Isadora Raka Achmad Inggis, Raka Achmad Ramadhan, Dimas Rizki M. Ratih Siti Rachmawati Raynald Frederick Reni Sri Rahayu Reno Renaldi Tibyan Reza Setiadi Shihran Rhanni Apriani Wirdhawan Rhanni Apriani Wirdhawan Rizki Utama Rohmat Priyanto Romi Setiawan Roza Muhammad Shidqi Santi Novani Setiawan, Romi Sidik Darusulistyo Steven Nathanael Setiawan Taufik Faturohman Untea, Pungkas Utama, Rizki Veren Sonia Wirdhawan, Rhanni Apriani Zakie Anugia Zuhwan Asbah Zulfikar, Prananda Septian