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Standards, Volume 4, Issue 2 (June 2024) – 2 articles

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14 pages, 1445 KiB  
Article
Seasonal Data Cleaning for Sales with Chase Demand Strategy
by Marcela Malindzakova, Dušan Malindzak and Andrzej Kubik
Standards 2024, 4(2), 52-65; https://doi.org/10.3390/standards4020004 - 6 May 2024
Viewed by 301
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 [...] Read more.
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. Full article
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13 pages, 1708 KiB  
Article
Are Stakeholders’ Opinions Redundant?
by Lars Carlsen
Standards 2024, 4(2), 39-51; https://doi.org/10.3390/standards4020003 - 19 Apr 2024
Viewed by 397
Abstract
Decision-making, bringing in the opinions of several stakeholders, may be a rather time- and resource-demanding process. Partial order-based methods like generalized linear aggregation (GLA) and average ranking appear as advantageous tools for considering several stakeholders’ opinions simultaneously. The present study presents an approach [...] Read more.
Decision-making, bringing in the opinions of several stakeholders, may be a rather time- and resource-demanding process. Partial order-based methods like generalized linear aggregation (GLA) and average ranking appear as advantageous tools for considering several stakeholders’ opinions simultaneously. The present study presents an approach where stakeholders’ opinions/weights are substituted by a series of randomly generated weight regimes, leading to virtually identical rankings as demonstrated through comparisons to examples where true stakeholder opinions are applied, as demonstrated through a study on food sustainability. This study showed a high degree of agreement between the ranking based on random data and that based on real stakeholder data. The method, which is a top-down approach to the decision process, appears to be a highly resource-reducing decision-supporting process. However, the method, by default, excludes the possibility of incorporating specific knowledge from, e.g., employees or other stakeholders in the decision process. Full article
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