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All Journal Jurnal Manajemen Teknologi Journal of Business and Management EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Mirai Management Jurnal Studi Manajemen dan Bisnis Jurnal Ilmu Sosial Politik dan Humaniora (Jisora) Economics and Business Journal Eduvest - Journal of Universal Studies Conference Proceedings International Conference on Education Innovation and Social Science
Yuanita Handayati
School of Business and Management, Institut Teknologi Bandung
Aerospace Engineering Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Health Professions Neuroscience Social Sciences Other

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Journal : Jurnal Studi Manajemen dan Bisnis

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Proposed Improvement of Demand Forecast Accuracy using Six Sigma DMAIC in PT XYZ Narayana, I Putu Edward; Handayati, Yuanita
Jurnal Studi Manajemen dan Bisnis Vol 10, No 2 (2023): Desember
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jsmb.v10i2.23120

Abstract

This research aimed to optimizing strategies for PT XYZ, specifically focusing on bridging the gaps between demand forecasts and actual market demand of lubricants product, with a strong emphasis on the Business-to-Business (B2B) segment. B2B introduces unique challenges, necessitating a specialized approach. Employing the Six Sigma DMAIC methodology, a comprehensive analysis is conducted to uncover deficiencies in current sales forecasting methods. The Holt-Winter method is then applied to offer robust remedies, effectively minimizing complexities such as seasonal patterns and market trends. Drawing on historical data from the B2B lubricants segment served by PT XYZ, the analysis establishes a solid empirical foundation. This comprehensive forecasting approach positions PT XYZ as a market leader, equipped to anticipate and pre-empt market fluctuations. The application of the Holt-Winter time series method not only significantly enhances forecasting accuracy but also mitigates substantial risks linked to inventory imbalances concerning demand. The implementation of such a robust forecasting framework stands to elevate the operational efficiency of PT XYZ, with a paramount commitment to maintaining customer satisfaction in the dynamic business landscape.
Co-Authors Abdurrahman, Muhammad Milzam Ade Iasya, Ade Agung Pascasuseno Albana, Muhammad Hasan Amani, Salma Aninda Annisa Arifiansyah, Faris Bobby, Caesar Ramos Deviana, Erlinda Diafan, Dionisius Baren Ermawan, Aria Rizki Fauzia, Zerlinda Nur Gatot Yudoko Handoko, Kevin Revialdy Hikmatullah, Hikmatullah Humaira, Putri Irwansyah, Anjas Johannes, Diva Gloria Krishna Permadi Kurniadi, Jeremy Andrian Muhammad Luqman Arif Abdurrahman, Muhammad Luqman Arif Najamudin, Muhammad Zaim Narayana, I Putu Edward Noviasari, Ledy Diana Gilam Orieza Alif Putra Purnomo, Orieza Alif Putra Pertiwi, Kartika Cahya Putra, Abhimanyu Mauliadi Widyawardhana Putra, Irfan Suharto Putri, Rezki Ananda Rizki Ramadhan, Hidayah Saputra, Okky Sidiq, Reza Nur Togar M Simatupang Wanda Listiani Wartami, Ahmad Fadel