Künstliche Intelligenz – Teil 2: KI-Einsatz in der Produktion

2019 ◽  
Vol 60 (2) ◽  
pp. 10-17
Author(s):  
Ralf T. Kreutzer
Keyword(s):  
Artificial Intelligence ◽  
Cost Reduction ◽  
Value Added ◽  
Künstliche Intelligenz ◽  
High Wage ◽  
Rapid Advance ◽  
Production Processes

In this second article on Artificial Intelligence, we will examine how Artificial Intelligence changes production. It is precisely in this area that a particularly rapid advance of AI systems can be expected. In addition to cost reduction through more efficient use of systems and processes, flexibility in production can also be increased. Through a digital value-added chain, the necessary networks to upstream and downstream service partners are achieved. An increasing use of robots in production can lead to reshoring – a relocation of production processes back to high-wage countries.

Risikomanagement im Lieferantennetzwerk

2019 ◽  
Vol 60 (2) ◽  
pp. 29-31
Author(s):  
Horst Hartmann
Keyword(s):  
Artificial Intelligence ◽  
Cost Reduction ◽  
Value Added ◽  
High Wage ◽  
Rapid Advance ◽  
Production Processes

In this second article on Artificial Intelligence, we will examine how Artificial Intelligence changes production. It is precisely in this area that a particularly rapid advance of AI systems can be expected. In addition to cost reduction through more efficient use of systems and processes, flexibility in production can also be increased. Through a digital value-added chain, the necessary networks to upstream and downstream service partners are achieved. An increasing use of robots in production can lead to reshoring – a relocation of production processes back to high-wage countries.

Implementasi Analisis Proses Bisnis Sebagai Upaya Pengurangan Biaya

2019 ◽  
Vol 10 (1) ◽  
pp. 1-27
Author(s):  
Aniek Wijayanti
Keyword(s):  
Business Process ◽  
Cost Reduction ◽  
Process Analysis ◽  
Value Added ◽  
Added Value ◽  
Natural Material ◽  
Management Activity ◽  
Procurement Process ◽  
Material Procurement ◽  
The Cost

Business Process Analysis can be used to eliminate or reduce a waste cost caused by non value added activities that exist in a process. This research aims at evaluating activities carried out in the natural material procurement process in the PT XYZ, calculating the effectiveness of the process cycle, finding a way to improve the process management, and calculating the cost reduction that can achieved by activity management. A case study was the approach of this research. The researcher obtained research data throughout deep interviews with the staff who directly involved in the process, observation, and documentation of natural material procurement. The result of this study show that the effectiveness of the process cycle of natural material procurement in the factory reached as much as 87,1% for the sand material and 72% for the crushed stone. This indicates that the process still carry activities with no added value and still contain ineffective costs. Through the Business Process Mechanism, these non value added activities can be managed so that the process cycle becomes more efficient and cost effectiveness is achieved. The result of the effective cycle calculation after the management activities implementation is 100%. This means that the cost of natural material procurement process has become effective. The result of calculation of the estimated cost reduction as a result of management activity is as much as Rp249.026.635,90 per year.

scholarly journals Implementation of Lean Manufacturing in a Cement Industry

2021 ◽  
Vol 11 (3) ◽  
pp. 7069-7074
Author(s):  
M. Masmali
Keyword(s):  
Production Line ◽  
Lean Manufacturing ◽  
Production Control ◽  
Value Added ◽  
Cement Industry ◽  
Shop Floor ◽  
Value Stream Mapping ◽  
Cement Production ◽  
Work In Process ◽  
Production Processes

The lean manufacturing concept is a systematic minimization of waste and non-value activities in production processes introduced by the Toyota production system. In this research, lean manufacturing is implemented in a cement production line. Value Stream Mapping (VSM) is applied to give a clear picture of the value chain in cement production processes and to highlight the non-value-added in the shop floor. To begin, the existing VSM is constructed based on the information and data gathered during visiting and observing the manufacturing process in the firm. As a result, the excess inventory between workstations was identified as a major waste generation, hence, the proposed VSM conducts further improvement and makes action plans to alleviate the unwanted activities. Then, the takt time to ensure smooth material flow and to avoid any occurring delay or bottleneck in the production line was figured out. The supermarket pull-based production control is suggested to be adopted in the future map. Two pull production strategies are selected in this case. The first is applying the Kanban system to control the level of inventory between workstations. The other is the CONWIP approach to control the amount of work in process to the entire production line. The outcome of the proposed models indicates a decrease of the none-value time from 23 days in the current state to about 4 and 2 days in Kanban and CONWIP systems respectively, so the CONWIP was suggested as most efficient. Some suggestions for further research are also mentioned.

scholarly journals The next step for Artificial Intelligence in a globally connected economy

2021 ◽  
Vol 129 ◽  
pp. 04001
Author(s):  
Dumitru Alexandru Bodislav ◽  
Florina Bran ◽  
Carol Cristina Gombos ◽  
Amza Mair
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Factor ◽  
Value Added ◽  
Point Of View ◽  
Business Analytics ◽  
Economic Point ◽  
Technological Breakthrough ◽  
Big Picture ◽  
The Difference

Research background: This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective. Purpose of the article: The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view. Methods: The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development. Findings & Value added: The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.

scholarly journals Chatbots by business vis-à-vis consumers: A new form of power and information asymmetry

2021 ◽  
Vol 129 ◽  
pp. 05002
Author(s):  
Zanda Davida
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Information Asymmetry ◽  
Value Added ◽  
Legal Framework ◽  
Consumer Law ◽  
Study Results ◽  
The Sixties ◽  
Guidance Documents ◽  
New Form

Research background: The first notable early chatbots were created in the sixties, but the growing use of artificial intelligence (AI) has powered them significantly. Studies show that basically chatbots are created and used for purposes by government and business, mostly in consumer service and marketing. The new Proposal of the Artificial intelligence act aims to promote the uptake of AI and address the risks associated with certain uses of such technology. However, the act contains only minimum transparency obligation for some specific AL systems such as chatbots. Purpose of the article: In light of this issue, the article aims to discuss how existing European Union (EU) consumer law is equipped to deal with situations in which the use of chatbots can pose the risks of manipulation, aggressive commercial practices, intrusion into privacy, exploitation of a consumer’s vulnerabilities and algorithmic decision making based on biased or discriminatory results. Methods: The article will analyse the legal framework, compare guidance documents and countries’ experiences, study results of different consumer behavior researches and scientific articles. Findings & Value added: The article reveals several gaps in current EU consumer law and discusses the flaws of proposing legislation (particularly the Proposal for an Artificial intelligence act) regarding relations between business and consumers.

The Effects of Industry 4.0 on Labor Force Attributes and New Challenges

2020 ◽  
pp. 431-454
Author(s):  
Mehmet Saim Aşçı
Keyword(s):  
Artificial Intelligence ◽  
Labor Force ◽  
Industry 4.0 ◽  
The Other ◽  
Advanced Technology ◽  
Significant Problem ◽  
Production Processes ◽  
Other Hand ◽  
New Challenges

Unmanned factories became a topic of discussion after the concept of Industry 4.0 was first introduced in the Hannover Fair in 2001, and increasing the computerization level in business life and supporting the production processes with advanced technology were determined as targets. In this regard, artificial intelligence and increased automation are expected to create new kinds of jobs in the coming years; however, a significant problem is predicted considering that these changes will invalidate a high number of job types exist today. Thus, the workforce will face a severe unemployment threat. As a result of all of this, radical changes in the work methods, along with means of seeking employment, are now considered. The qualities of the work and the workforce are being transformed along with the organization methods of the production. While on the other hand, it becomes evident that education also has to adapt to this transformation. In this study, the issues the labor might have to face during this period will be discussed, along with what could be done to solve these problems.

3PL selection criteria in integrated circuit manufacturing industry in Taiwan

2016 ◽  
Vol 21 (1) ◽  
pp. 103-124 ◽  
Author(s):  
Bang-Ning Hwang ◽  
Tsai-Ti Chen ◽  
James T. Lin
Keyword(s):  
Integrated Circuit ◽  
Cost Reduction ◽  
Selection Criteria ◽  
Manufacturing Industry ◽  
Market Competition ◽  
Value Added ◽  
The Body ◽  
High Tech ◽  
Content Type ◽  
Ic Manufacturing

Purpose – The purpose of this study was to identify the key third-party logistics (3PL) selection criteria for the integrated circuit (IC) manufacturing industry in Taiwan. The IC manufacturing industry seeks global sourcing, and is facing increasing pressure due to fierce market competition. More than a cost reduction strategy, 3PL is a strategic tool for IC manufacturers to gain a competitive advantage in a global supply chain complex. Design/methodology/approach – The triangulation method that combines qualitative and quantitative approaches was used in the study. The qualitative approach of focus group discussions was adopted to establish the decision framework, and the quantitative approach of the analytic hierarchy process was used to explore the relative importance of the 3PL selection criteria. Finally, an in-depth proof-by-example interview was undertaken to provide an insightful interpretation of the research results. Findings – The research shows that performance is the most important criterion group, followed by cost, service, quality assurance, intangible and information technology. At the detailed sub-criteria level, document accuracy, problem-solving capability, continuous cost reduction, value-added services and associated cost control capability are the top five criteria. Research limitations/implications – This study focused on the IC manufacturing sector in Taiwan. Multi-country and multi-industry studies are recommended to help further validate and generalise the research findings. Originality/value – Due to its application of triangulation, this study is a pioneering work on the 3PL selection criteria in a high-tech manufacturing industry. Furthermore, the value of this research is that it enhances the body of knowledge of 3PL selection by identifying certain emerging selection criteria, it could serve as a guideline for IC manufacturers in planning logistics outsourcing actions and it could significantly contribute to the efforts of 3PL providers in evaluating whether they comply with customer needs and adhere to core competency development.

Hello marketing, what can artificial intelligence help you with?

2018 ◽  
Vol 60 (5) ◽  
pp. 435-438 ◽  
Author(s):  
Norbert Wirth
Keyword(s):  
Artificial Intelligence ◽  
Industrial Production ◽  
Market Research ◽  
New Technology ◽  
Digital Marketing ◽  
Strong Ai ◽  
Production Processes ◽  
Definition Of

Artificial intelligence based applications are emerging in a broad range of expert domains. News about AI based solutions in medicine, industrial production processes, logistics, mobility and digital marketing trigger discussions and a lot of speculation. The market research industry seems hesitant and at the same time eager to embrace this new technology. In this article the author provides a definition of artificial intelligence and its different forms: narrow AI, hybrid AI and strong AI. He concludes his reflection on the question whether it’s feasible to develop AI based marketing insights solutions with the recommendation: it’s time to embrace AI.

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