Seasonal Data Cleaning for Sales with Chase Demand Strategy

Author:

Malindzakova Marcela1ORCID,Malindzak Dušan2,Kubik Andrzej3ORCID

Affiliation:

1. Faculty of Mining, Ecology, Process Control and Geotechnologies, Institute of Logistics and Transport, Technical University of Kosice, Park Komenskeho 14, 04200 Kosice, Slovakia

2. AT&T, 04001 Kosice, Slovakia

3. Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 40019 Katowice, Poland

Abstract

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.

Publisher

MDPI AG

Reference21 articles.

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3. Ramos, P., Oliveira, J.M., Kourentzes, N., and Fildes, R. (2023). Forecasting Seasonal Sales with Many Drivers: Shrinkage or Dimensionality Reduction?. Appl. Syst. Innov., 6.

4. (2023, January 18). Forbes Finance Council. Available online: https://www.forbes.com/sites/forbesfinancecouncil/2023/01/18/14-strategies-to-help-a-seasonal-business-avoid-a-sales-slump/.

5. Analysis of Factors Affecting Product Sales with an Outlook toward Sale Forecasting in Cosmetic Industry using Statistical Methods;Khajehzadeh;Int. Rev. Manag. Mark.,2022

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