دورية أكاديمية
Seasonal Data Cleaning for Sales with Chase Demand Strategy
العنوان: | Seasonal Data Cleaning for Sales with Chase Demand Strategy |
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المؤلفون: | Marcela Malindzakova, Dušan Malindzak, Andrzej Kubik |
المصدر: | Standards, Vol 4, Iss 2, Pp 52-65 (2024) |
بيانات النشر: | MDPI AG, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Mathematics LCC:Applied mathematics. Quantitative methods |
مصطلحات موضوعية: | seasonal data cleaning, production planning, sales prediction, chase demand strategy, Mathematics, QA1-939, Applied mathematics. Quantitative methods, T57-57.97 |
الوصف: | The intricate process of planning production, involving product life cycle management and the synthesis of manufacturing information, is crucial for coherence in manufacturing. Manufacturing companies, operating in a high-mix, low-volume production environment, integrate production planning with management to focus on production processes, emphasizing high-quality, rapid product delivery. This includes material item planning to anticipate future demands and ensure sufficient raw material and finished product quantities, considering purchasing, production, and sales capacities. This study explores the electro technical sector, specifically a manufacturing entity specializing in low-voltage plastic cable distribution boxes. It scrutinizes the vital role of seasonal data cleaning in optimizing production planning, with a targeted focus on three products. The implementation of a chase demand strategy is related to capacity planning, taking into account the change in production capacity linked to demand over time. The problem in implementing this strategy is related to the fluctuating level of quality due to changes in demand for specified products. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2305-6703 |
العلاقة: | https://www.mdpi.com/2305-6703/4/2/4Test; https://doaj.org/toc/2305-6703Test |
DOI: | 10.3390/standards4020004 |
الوصول الحر: | https://doaj.org/article/48d8b66dc2c24ea688484b820c3a8c3aTest |
رقم الانضمام: | edsdoj.48d8b66dc2c24ea688484b820c3a8c3a |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 23056703 |
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DOI: | 10.3390/standards4020004 |