SECPON: Analysis of Engineering Change Processes for Manufacturing Companies

Knaus, Alexander

doi:10.1142/s0219877022500274

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…The efficient and general use of "historical" data to optimise and predict delivery times has led to the development of specific standardisation tools, such as Cross-Industry Standard Process for Data Mining (CRISP-DM) (Schuh et al, 2019). Optimizing the accommodations for variations in demand is an added benefit of a standardized implementation procedure for engineering improvements (Knaus, 2022). In addition to production systems (or data of these systems), the analysis and optimisation of related logistics systems can be particularly important in the management of large fluctuations (Härtel & Nyhuis, 2019).…”

Section: Introduction Objectivesmentioning

confidence: 99%

Examining the Impact of Certain Factors on the Delivery Time of a Manufacturing Firm Using Data Science Methods

Tóth,

Garab

2024

Fenntarthatósági Átmenet: Kihívások És Innovatív Megoldások : Nemzetközi Tudományos Konferencia a Magyar Tudomány Ünnepe Alkalm

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The study analysed a business big data problem in a case study and partly methodological way. In particular, the factors that influenced the order fulfilment time were investigated. From a table of nine columns and 15,388,470 rows, a time series analysis was first performed and then a Spearman correlation was used to analyse the relationship between completion time and the number of sales. The limitations of some methods (ANOVA, Random Forest, Factor Analysis of Mixed Data) were examined, and then Kruskal-Wallis and Dunn-Bonferroni tests were carried out, taking samples of sufficient and necessary size to allow for the large number of element variations in each column, and restricting the analysis to the variable values that sometimes appeared important. A number of variables in three columns had a significant effect on the evolution of the completion time and the methodology proved successful in identifying them. However, the analysis also highlighted the need to group the individual, non-metric variable values into new groups.

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Section: Introduction Objectivesmentioning

confidence: 99%

Examining the Impact of Certain Factors on the Delivery Time of a Manufacturing Firm Using Data Science Methods

Tóth,

Garab

2024

Fenntarthatósági Átmenet: Kihívások És Innovatív Megoldások : Nemzetközi Tudományos Konferencia a Magyar Tudomány Ünnepe Alkalm

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Section: Introduction Objectivesmentioning

confidence: 99%

Fenntarthatósági átmenet: kihívások és innovatív megoldások : Nemzetközi tudományos konferencia a Magyar Tudomány Ünnepe alkalmából

2024

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The European project was borne out of the strong desire of Western European politicians to root out wars and create peace and prosperity in Europe in the post-war period. With the Eastern enlargement of the EU, this mission seemed completed. However, a series of crises starting in 2008 with the Global Financial Crisis revealed many pressing problems in the European integration process. The EU needs to adapt to the new geopolitical and geoeconomic realities while it should take new initiatives to make European integration fair and sustainable. In this paper, using a new conceptual framework, we analyse the factors that hinder fairness and sustainability in the EU and suggest broad directions for reforms that can promote the European integration process.

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Towards a Universal Model of Engineering Change Management

Tryczak,

Lis,

Ziemiański

et al. 2023

J Knowl Econ

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The paper deals with the issue of engineering change management (ECM). ECM has received much less attention in the literature than general change management. Moreover, due to their specifics (complexity and multifaceted nature), hitherto developed ECM models are difficult to implement in companies. The paper aims to develop a simplified, universal, and hence easily applicable model of ECM. We based our assumptions on a case study of a manufacturing company with low-volume production, representing a high-mix type, posing the following research question: how to improve the ECM process to make it simpler and more quickly adaptable in companies with the analyzed type of production when compared to the existing models? To answer this question, an exploratory qualitative study was conducted in late 2021/early 2022 using in-depth personal interviews. The research sample included 31 employees involved in ECM processes. Conventional qualitative content analysis was the primary technique for analyzing and interpreting the data. The study identified gaps and bottlenecks in the existing ECM model. On this basis, a proposal for a new ECM model was developed, distinguished by its simplicity and versatility (it can be implemented in companies operating in various industries). Particular emphasis was placed on ensuring the flow of information and circulation of technical documentation between the departments involved and clarifying the role of the change administrator. The paper sheds new light on how to implement engineering changes in organizations and has considerable application value.

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SECPON: Analysis of Engineering Change Processes for Manufacturing Companies

Cited by 3 publications

References 45 publications

Examining the Impact of Certain Factors on the Delivery Time of a Manufacturing Firm Using Data Science Methods

Examining the Impact of Certain Factors on the Delivery Time of a Manufacturing Firm Using Data Science Methods

Fenntarthatósági átmenet: kihívások és innovatív megoldások : Nemzetközi tudományos konferencia a Magyar Tudomány Ünnepe alkalmából

Towards a Universal Model of Engineering Change Management

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