Article Per Year (5 Year)
p-Index From 2021 - 2026
1.683
P-Index
This Author published in this journals
All Journal Jurnal Manajemen Teknologi Journal of Business and Management The Indonesian Journal of Business Administration International Journal of Nusantara Islam Jurnal Ilmiah Teknik Industri EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Binus Business Review Jurnal Pendidikan Ekonomi & Bisnis Journal of Economic, Bussines and Accounting (COSTING) International Journal of Supply Chain Management Business Journal : Jurnal Bisnis Dan Sosial Jurnal Syntax Transformation Jurnal Impresi Indonesia International Journal of Nusantara Islam Image : Jurnal Riset Manajemen
Yuliani Dwi Lestari
School Of Business And Management, Institut Teknologi Bandung
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Transportation Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Proposed Aggregate Planning for Overcoming Overstock and Shortage at La Crème Sonia Adisha Kinanti; Yuliani Dwi Lestari
Jurnal Impresi Indonesia Vol. 4 No. 6 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i6.6537

Abstract

The fashion industry is known for its volatility, characterized by rapid trend cycles and short product life spans, which pose operational challenges for businesses like La Crème, a B2B wholesaler in Indonesia. With over 300 SKUs and a production capacity of 6,000 pieces per week, La Crème serves a wide network across Southeast Asia and the Middle East. However, the company faces inefficiencies in supply-demand balance, leading to overstock and shortage issues that hurt profitability and customer satisfaction. In 2023, production volume dropped significantly, highlighting flaws in inventory planning. This research aims to develop a structured aggregate production planning model to mitigate these imbalances while enhancing service levels and cost efficiency. Using a mixed-method case study approach, quantitative data includes historical sales and production records, while qualitative insights are gathered from interviews and observations at La Crème's facilities. The study evaluates forecasting accuracy through methods like Linear Trend and Moving Average, revealing that effectiveness varies by SKU. The core analysis involves simulating four production planning models over three months: chase strategy, level strategy with stockouts, subcontracting, and overtime. Results indicate that the Level Strategy with Subcontracting is the most effective, achieving the lowest total cost while maintaining service levels. This study emphasizes the importance of data-driven planning to align forecasted demand with production capacity, ultimately promoting agility and improved financial outcomes for La Crème.
Co-Authors Aliya, Qonita Himmatul Anak Agung Gede Sugianthara Arif Imran Athluna Canthika, Athluna Ayu Agustine Hernowo Cucu Faridah, Cucu Devi Natasha Polim Dhedy Pamardi, Irmawan Dini Apriani, Dini Eko Agus Murjito Faridatus Saidah Gatot Yudoko Gita Partiwi Haifa Aliya Jahida Herdiansyah Gustira Pramudia Suryono Hisyam Hisyam Liane Okdinawati Liane Okdinawati Livia Luciana, Livia Miharja, Ghianinda Nenden Dianawati Nirvana, Kinanti Pratiwi, Nimas Rosyana Puspadewi, Deandra Putri Intan Sari Raisha Shadrina Rifi Wijayanti Dual Arifin Rostianti, Dine Sherly Artadita Sonia Adisha Kinanti Steven Margono, Steven Togar M. Simatupang Togar Simatupang Yericho Paul, Yericho Yoshiyuki Matsuura Zulia Manalu, Zulia