scholarly journals Numerical and Experimental Advances in Innovative Manufacturing Processes

Metals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1273
Author(s):  
Ricardo J. Alves de Sousa ◽  
Mehdi Safari
Keyword(s):  
International Market ◽  
Manufacturing Processes ◽  
Product Cycle ◽  
Manufacturing Companies ◽  
Speed Up ◽  
Low Costs

The severe competition in an international market pushes manufacturing companies to continuously improve current processes in the quest to minimize errors, reduce waste and speed up the entire idea-to-product cycle, while maintaining low costs [...]

scholarly journals Inspection planning by defect prediction models and inspection strategy maps

2021 ◽  
Author(s):  
Elisa Verna ◽  
Gianfranco Genta ◽  
Maurizio Galetto ◽  
Fiorenzo Franceschini
Keyword(s):  
Probabilistic Models ◽  
Prediction Models ◽  
Design Tool ◽  
General Interest ◽  
Manufacturing Processes ◽  
Analysis Tool ◽  
Manufacturing Companies ◽  
Inspection Planning ◽  
Inspection Strategy ◽  
Defect Prediction Models

AbstractDesigning appropriate quality-inspections in manufacturing processes has always been a challenge to maintain competitiveness in the market. Recent studies have been focused on the design of appropriate in-process inspection strategies for assembly processes based on probabilistic models. Despite this general interest, a practical tool allowing for the assessment of the adequacy of alternative inspection strategies is still lacking. This paper proposes a general framework to assess the effectiveness and cost of inspection strategies. In detail, defect probabilities obtained by prediction models and inspection variables are combined to define a pair of indicators for developing an inspection strategy map. Such a map acts as an analysis tool, enabling positioning assessment and benchmarking of the strategies adopted by manufacturing companies, but also as a design tool to achieve the desired targets. The approach can assist designers of manufacturing processes, and particularly low-volume productions, in the early stages of inspection planning.

Improvement of Administration Processes in Manufacturing Companies

2016 ◽  
Vol 835 ◽  
pp. 835-840
Author(s):  
Lucie Šťastná ◽  
Michal Šimon
Keyword(s):  
Industrial Engineering ◽  
Current Status ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Lean Enterprise

This paper is focused on administrative processes in manufacturing companies. It discusses about that the company should focus on its administrative processes and not just on manufacturing processes. In these processes a big potential is hidden. The article deals the concept of lean enterprise and defines all of its areas. Further it also shows the current status of administrative processes and the waste that occurs. Furthermore a proposal of workflow with the administrative processes is shown here with using methods of industrial engineering. Finally the two examples from practice are shown with using methods of industrial engineering in the administrative processes

scholarly journals A Similarity-Based Hierarchical Clustering Method for Manufacturing Process Models

2019 ◽  
Vol 11 (9) ◽  
pp. 2560
Author(s):  
Hyun Ahn ◽  
Tai-Woo Chang
Keyword(s):  
Hierarchical Clustering ◽  
Operations Management ◽  
Manufacturing Process ◽  
Manufacturing Industry ◽  
Clustering Algorithm ◽  
Process Models ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Agglomerative Clustering ◽  
Clustering Method

As the adoption of information technologies increases in the manufacturing industry, manufacturing companies should efficiently manage their data and manufacturing processes in order to enhance their manufacturing competency. Because smart factories acquire processing data from connected machines, the business process management (BPM) approach can enrich the capability of manufacturing operations management. Manufacturing companies could benefit from the well-defined methodologies and process-centric engineering practices of this BPM approach for optimizing their manufacturing processes. Based on the approach, this paper proposes a similarity-based hierarchical clustering method for manufacturing processes. To this end, first we describe process modeling based on the BPM-compliant standard so that the manufacturing processes can be controlled by BPM systems. Second, we present similarity measures for manufacturing process models that serve as a criterion for the hierarchical clustering. Then, we formulate the hierarchical clustering problem and describe an agglomerative clustering algorithm using the measured similarities. Our contribution is considered on the assumption that a manufacturing company adopts the BPM approach and it operates various manufacturing processes. We expect that our method enables manufacturing companies to design and manage a vast amount of manufacturing processes at a coarser level, and it also can be applied to various process (re)engineering problems.

scholarly journals Smart Process Optimization and Adaptive Execution with Semantic Services in Cloud Manufacturing ‡

2018 ◽  
Author(s):  
Luca Mazzola ◽  
Philipp Waibel ◽  
Patrick Kaphanke ◽  
Matthias Klusch
Keyword(s):  
Business Process ◽  
Process Analysis ◽  
Building Blocks ◽  
Process Models ◽  
Just In Time ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Time Service ◽  
Business Process Models ◽  
Service Oriented

A new requirement for the manufacturing companies in Industry 4.0 is to be flexible with respect to changes in demands, requiring them to react rapidly and efficiently on the production capacities. Together with the trend to use Service-Oriented Architectures (SOA), this requirement induces a need for agile collaboration among supply chain partners, but also between different divisions or branches of the same company. In order to address this collaboration challenge, we~propose a novel pragmatic approach for the process analysis, implementation and execution. This~is achieved through sets of semantic annotations of business process models encoded into BPMN 2.0 extensions. Building blocks for such manufacturing processes are the individual available services, which are also semantically annotated according to the Everything-as-a-Service (XaaS) principles and stored into a common marketplace. The optimization of such manufacturing processes combines pattern-based semantic composition of services with their non-functional aspects. This is achieved by means of Quality-of-Service (QoS)-based Constraint Optimization Problem (COP) solving, resulting in an automatic implementation of service-based manufacturing processes. The produced solution is mapped back to the BPMN 2.0 standard formalism by means of the introduced extension elements, fully detailing the enactable optimal process service plan produced. This approach allows enacting a process instance, using just-in-time service leasing, allocation of resources and dynamic replanning in the case of failures. This proposition provides the best compromise between external visibility, control and flexibility. In this way, it provides an optimal approach for business process models' implementation, with a full service-oriented taste, by implementing user-defined QoS metrics, just-in-time execution and basic dynamic repairing capabilities. This paper presents the described approach and the technical architecture and depicts one initial industrial application in the manufacturing domain of aluminum forging for bicycle hull body forming, where the advantages stemming from the main capabilities of this approach are sketched.

scholarly journals Analisis faktor yang mempengaruhi kinerja UKM di pasar internasional

2020 ◽  
Vol 16 (1) ◽  
pp. 1-18
Author(s):  
Aglis Andhita Hatmawan
Keyword(s):  
International Trade ◽  
Entrepreneurial Orientation ◽  
Small And Medium Enterprises ◽  
International Market ◽  
International Markets ◽  
Survey Method ◽  
Manufacturing Companies ◽  
Medium Enterprises ◽  
Network Capability

Small and medium enterprises (SMEs) are currently important players in international trade. Commitment from business actors and wider networks are required to not only penetrate the international market but also to survive and compete at the national and international levels. This study aims to analyze entrepreneurial orientation, network capabilities, and innovation on the performance of SMEs in the international market. This study used a survey method by giving questionnaires and interviews to 75 manufacturing SMEs in the district and city of Madiun. The results of this study indicate that all entrepreneurial orientation variables, network capability, and innovation have positive and significant effects on the performance of SMEs in the international market. This study contributes to the internationalization of SME's literature by analyzing the influence of entrepreneurship orientation, networking capabilities, and innovation on SME performance in international markets, especially for manufacturing companies.

scholarly journals PENJADWALAN PERALATAN UNTUK MENINGKATKAN KINERJA SISTEM MANUFAKTUR DENGAN PENDEKATAN SIMULASI SISTEM DISKRIT

2017 ◽  
Author(s):  
Abdurrozzaq Hasibuan
Keyword(s):  
Development Strategy ◽  
Real System ◽  
Product Cycle ◽  
Manufacturing Companies ◽  
Productivity Level ◽  
The Real ◽  
High Productivity ◽  
Work In Process ◽  
System P ◽  
System Variables

Facing the thight business competition era, the manufacturing companies have to development their industrial system preformances to the high productivity level. This paper explain three manufacturing system indicator; amount of standart output in a periode of time, product cycle time, and the amount of work in process (unfinish) product. Those three indicators will be viewed as a result of tools and production machine resources allocation in each work station.The Discrete system simulation was used to represent the real system that is examined. This method can give a details information about the characteristic of each system variables when try to make an experiment to improve the system performances without bothering and interrupt the real system it self. This situation will exactly reduce the unpredictable risk when implement the development strategy in the real system.

Study on Use of Information Technologies in Manufacturing Processes

2015 ◽  
Vol 795 ◽  
pp. 220-226
Author(s):  
Joanna Tabor
Keyword(s):  
Information Technology ◽  
Manufacturing Process ◽  
Information Technologies ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Process Automation ◽  
Work Safety ◽  
Industrial Processing ◽  
Average Value ◽  
Level Of Use

This paper contains analysis and assessment of use of information technologies in manufacturing processes performed over the years 2010-2013 by manufacturing companies that employ at least 10 employees. Although companies use many different information technology automation devices and tools, this paper is only focused upon manufacturing process automation devices, since these automation devices exert a significant impact upon improvement of work safety levels. As a result of this study, industrial processing sector’s divisions were identified with the highest level of use of determined automation devices in relation to the adopted average value for the industrial processing sector as a whole, and directions of changes were identified in the area of use of the particular automation devices in the analysed groups of manufacturing companies being active in Poland.

Ecological Performance as a New Metric to Measure Green Supply Chain Practices

2019 ◽  
pp. 1003-1014
Author(s):  
June Poh Kim Tam ◽  
Yudi Fernando
Keyword(s):  
Energy Use ◽  
Sustainable Manufacturing ◽  
Market Price ◽  
Cost Effective ◽  
Value Stream Mapping ◽  
Manufacturing Processes ◽  
Competitive Advantages ◽  
Manufacturing Companies ◽  
Value Stream ◽  
Ecological Performance

This chapter discusses the concept of ecological performance. Sustainable development has become a focus of governments, companies, communities, and even individuals. Manufacturing companies need a performance measurement that can balance between profit and environment. The concept of reduction of resource use and waste generation is not limited to the manufacturing processes of a focal company, but it can be embraced into product design that benefits the end users as well as stakeholders. Companies can build competitive advantages by integrating ecological performance into business value stream mapping. Reduction of resources and energy use can help companies to be cost effective and thus able to survive a market price war. Companies can enhance product quality through eco-design and sustainable manufacturing to preempt competitors. Companies can build green images to gain customer loyalty. Waste reduction can help companies to save capacity and be more flexible in shipment delivery and support customer dynamic needs.

scholarly journals LA TRADITION – VECTEUR IMPORTANT DE PROMOTION ET GAGE DE QUALITÉ. LE CAS DES PRODUITS ROUMAINS DU TERROIR (TRADITION – IMPORTANT PROMOTION AND QUALITY GUARANTEE VECTOR. THE CASE OF TRADITIONAL ROMANIAN PRODUCTS)

2021 ◽  
Vol 30 (30 (1)) ◽  
pp. 324-335
Author(s):  
Andra-Teodora Porumb
Keyword(s):  
Social Networks ◽  
Digital Media ◽  
International Market ◽  
Manufacturing Processes ◽  
Geographical Indication ◽  
Food Sector ◽  
Traditional Media ◽  
The Status ◽  
First Time ◽  
Quality Guarantee

This paper illustrates some of the ways in which producers and traders of traditional Romanian products in the agri-food sector manage to promote their products on the international market using digital media. They used to be present at international trade fairs and exhibitions or in the traditional media. In recent years and especially during the Covid pandemic19, promotion has moved online, on enterprise websites, on social networks and on eCommerce platforms. Using the concepts of discourse analysis, we will show that the discourse promoting regional specialties contains references to tradition – as a guarantee of authenticity, originality, and value of the product, to health – being genuine products made with natural ingredients, in small factories or even in peasant households, with respect for quality and manufacturing stages – the most well-known Romanian products already having the status of a brand with a protected geographical indication. It is a discourse about exceptional products. Based on recipes that are about 200 years old, perfecting the manufacturing processes and raising the tradition to the rank of art, the producers manage to offer specialties that give any meal refinement, and even luxury. Foreign tourists taste these products for the first time during the holidays spent in the agrotourism pensions in Romania, and then they look for them in the Romanian stores in their countries or on the eCommerce sites.

Artificial Intelligence and Backshoring Strategies

2021 ◽  
pp. 227-255
Author(s):  
Steffen Kinkel ◽  
Mauro Capestro ◽  
Eleonora Di Maria
Keyword(s):  
Artificial Intelligence ◽  
Empirical Evidence ◽  
Industry 4.0 ◽  
Positive Impact ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Production Processes ◽  
Strategic Factors ◽  
Using Data ◽  
The Relationship

The Industry 4.0 technologies, such as artificial intelligence (AI), are transforming the manufacturing processes and affecting the location of manufacturing activities across countries, with a potentially positive impact on the backshoring of production processes. The chapter aims at providing empirical evidence on the relationship between AI and relocation, exploring how AI is related to both the offshoring and backshoring strategies, using data from an international sample of 124 German and Italian manufacturing companies. Following the investigation of AI use by German and Italian manufacturing companies, the study analyses the differences in some strategic factors and the offshoring and backshoring decisions between German and Italian companies, AI users and non-users, and between the German and Italian AI users. Results show that the most important differences concern AI users and non-users and indicate a higher value of AI use for backshoring rather than offshoring strategies. The findings enable the derivation of both theoretical and managerial contributions.

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