scholarly journals Design for Agile Manufacturing: Product Design Principles that Enhance Agile Manufacturing of Powertrain Systems

2021 ◽  
pp. 7-14
Author(s):  
Oliver Moerth-Teo ◽  
◽  
Felix Weger ◽  
Christian Ramsauer
Keyword(s):  
Literature Review ◽  
Product Design ◽  
Automotive Industry ◽  
Manufacturing Systems ◽  
Agile Manufacturing ◽  
Design Principles ◽  
Manufacturing Companies ◽  
Engineering Company ◽  
Domain Mapping ◽  
Two Phases

While companies in the entire automotive industry deal with increasing volatility and uncertainty, new trends and innovations pressure especially powertrain margins. The concept of agile manufacturing enables companies to remain competitive in such an environment. As some authors declare that the success of agile manufacturing is largely determined by the design of products, this paper investigates how these two phases in the powertrain lifecycle can be linked. A literature review was conducted to identify DFX guidelines that reflect the agile manufacturing characteristics: flexibility, profitability, speed, proactivity and quality. More than 200 design principles were collected and clustered into seven design objectives according to their main purposes. A first questionnaire was conducted at an engineering company having its main business field in powertrain development in order to define the importance of these principles to enhance agile powertrain manufacturing. The results are presented in a design catalogue. Through an additional literature review the required capabilities of manufacturing systems to fulfill the five agile characteristics were identified. The rating of these capabilities was subject of a second questionnaire at several manufacturing companies in the automotive industry. The employment of a domain mapping matrix supports the selection and application of appropriate product design principles aiming to enhance specific agile manufacturing capabilities. Finally, the developed procedure model was evaluated.

scholarly journals OEE measurement at the automotive semi-automatic assembly lines

2021 ◽  
Author(s):  
Peter Dobra ◽  
János Jósvai
Keyword(s):  
Literature Review ◽  
Automotive Industry ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Automatic Assembly ◽  
Manufacturing Companies ◽  
Assembly Lines ◽  
Performance Quality

Manufacturing companies continuously evaluate their achieved performance based on different Key Performance Indicators (KPI). This article gives an overview about the OEE values. The study aims to provide practical OEE data of semi-automatic assembly lines used in the automotive industry. Its novelty is the revealed relationship between seat assembly lines and seat subassembly lines. Firstly, a literature review shows the scientific relevance and several cases are collected to increase OEE percentage. Secondly, the connection between chassis, tracks, recliner and mechanism assembly lines is described. Each part of OEE (availability, performance, quality) are analysed in terms of their impact.

Agile manufacturing systems in the automotive industry

2004 ◽  
Vol 91 (3) ◽  
pp. 201-214 ◽  
Author(s):  
Debra A. Elkins ◽  
Ningjian Huang ◽  
Jeffrey M. Alden
Keyword(s):  
Automotive Industry ◽  
Manufacturing Systems ◽  
Agile Manufacturing

scholarly journals A Literature Review on the Progression of Agile Manufacturing Paradigm and Its Scope of Application in Pump Industry

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
V. M. M. Thilak ◽  
S. R. Devadasan ◽  
N. M. Sivaram
Keyword(s):  
Literature Review ◽  
Agile Manufacturing ◽  
Second Phase ◽  
Scope Of Application ◽  
Two Phases

During the recent years, the manufacturing world has been witnessing the application of agile manufacturing paradigm. The literature review reported in this paper was carried out to study this progression. This literature review was carried out in two phases. In the first phase, the literature was reviewed to trace the origin of agile manufacturing paradigm and identify its enablers. Further, during this phase, the applications of agile manufacturing reported in literature arena were reviewed. It was also discernable that certain research works have been initiated to apply agile manufacturing paradigm in pump industry. During the second phase, the researches reported on applying agile manufacturing in pump industry were reviewed. At the end of this review, it was found that so far the implementation of agile manufacturing in pump industry has been examined by the researchers by considering only certain components of pumps. In fact, the holistic implementation of agile manufacturing in the pump industry is yet to be examined by the researchers. In the context of drawing this inference, this paper has been concluded by stating that high scope exists in examining the infusing of agility characteristics in designing and manufacturing of pumps.

Complexity in manufacturing systems: a literature review

2021 ◽  
Author(s):  
Germán Herrera Vidal ◽  
Jairo Rafael Coronado Hernández
Keyword(s):  
Literature Review ◽  
Manufacturing Systems

scholarly journals Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies

2021 ◽  
Vol 11 (15) ◽  
pp. 6787
Author(s):  
Jože M. Rožanec ◽  
Blaž Kažič ◽  
Maja Škrjanc ◽  
Blaž Fortuna ◽  
Dunja Mladenić
Keyword(s):  
Machine Learning ◽  
Automotive Industry ◽  
Demand Management ◽  
Demand Forecasting ◽  
Machine Learning Algorithms ◽  
Superior Performance ◽  
Forecast Errors ◽  
Manufacturing Companies ◽  
Case Scenario ◽  
Crucial Component

Demand forecasting is a crucial component of demand management, directly impacting manufacturing companies’ planning, revenues, and actors through the supply chain. We evaluate 21 baseline, statistical, and machine learning algorithms to forecast smooth and erratic demand on a real-world use case scenario. The products’ data were obtained from a European original equipment manufacturer targeting the global automotive industry market. Our research shows that global machine learning models achieve superior performance than local models. We show that forecast errors from global models can be constrained by pooling product data based on the past demand magnitude. We also propose a set of metrics and criteria for a comprehensive understanding of demand forecasting models’ performance.

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

Introduction of Flexible Manufacturing Systems as a Necessary Measure for the Russian Industrial Development

2019 ◽  
Vol 957 ◽  
pp. 195-202 ◽  
Author(s):  
Elizaveta Gromova
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Industrial Development ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Industrial Sector ◽  
Business Environment ◽  
Maximum Speed ◽  
Industrial Enterprises

With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.

scholarly journals Design of Consumables in a Resource-Efficient Economy—A Literature Review

2021 ◽  
Vol 13 (3) ◽  
pp. 1036
Author(s):  
Siri Willskytt
Keyword(s):  
Life Cycle ◽  
Literature Review ◽  
Product Design ◽  
Circular Economy ◽  
Design Guidelines ◽  
The Novel ◽  
Specific Design ◽  
Design Considerations ◽  
Life Cycle Perspective ◽  
General Product

Consumable products have received less attention in the circular economy (CE), particularly in regard to the design of resource-efficient products. This literature review investigates the extent to which existing design guidelines for resource-efficient products are applicable to consumables. This analysis is divided into two parts. The first investigates the extent to which general product-design guidelines (i.e., applicable to both durables and consumables) are applicable to consumables. This analysis also scrutinizes the type of recommendations presented by the ecodesign and circular product design, to investigate the novel aspects of the CE in product design. The second analysis examines the type of design considerations the literature on product-type specific design guidelines recommends for specific consumables and whether such guidelines are transferable. The analysis of general guidelines showed that, although guidelines are intended to be general and applicable to many types of products, their applicability to consumable products is limited. Less than half of their recommendations can be applied to consumables. The analysis also identified several design considerations that are transferable between product-specific design guidelines. This paper shows the importance of the life-cycle perspective in product design, to maximize the opportunities to improve consumables.

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