scholarly journals Sizing of Heijunka-controlled Production Systems with Unreliable Production Processes

2008 ◽  
pp. 11-19 ◽  
Author(s):  
Christian R. Lippolt ◽  
Kai Furmans
Keyword(s):  
Production Systems ◽  
Production Processes

The Implementation of Industry 4.0 by Using Industrial and Service Robots in the Production Processes

2020 ◽  
pp. 1-30 ◽  
Author(s):  
Isak Karabegović ◽  
Edina Karabegović ◽  
Mehmed Mahmic ◽  
Ermin Husak
Keyword(s):  
Radio Frequency Identification ◽  
Industry 4.0 ◽  
Production Systems ◽  
Service Robots ◽  
Production Processes ◽  
New Business ◽  
3D Printers ◽  
Frequency Identification ◽  
Smart Factories ◽  
The Internet Of Things

From the very knowledge of Industry 4.0, its implementation is carried out in all segments of society, but we still do not fully understand the breadth and speed of its implementation. We are currently witnessing major changes in all industries, so new business methods are emerging. There is a transformation of production systems, a new form of consumption, delivery, and transportation, all thanks to the implementation of new technological discoveries that cover robotics and automation, the internet of things (IoT), 3D printers, smart sensors, radio frequency identification (RFID), etc. Robotic technology is one of the most important technologies in Industry 4.0, so that the robot application in the automation of production processes with the support of information technology brings us to smart automation (i.e., smart factories). The changes are so deep that, from the perspective of human history, there has never been a time of greater promise or potential danger.

scholarly journals A New Mindset for Circular Economy Strategies: Case Studies of Circularity in the Use of Water

2020 ◽  
Vol 12 (22) ◽  
pp. 9781
Author(s):  
Elisabeth Viles ◽  
Javier Santos ◽  
Tamara Fernández Arévalo ◽  
Martín Tanco ◽  
Florencia Kalemkerian
Keyword(s):  
Case Studies ◽  
Resource Use ◽  
Circular Economy ◽  
Production Management ◽  
Production Systems ◽  
Traditional Approach ◽  
Use Of Resources ◽  
Production Processes ◽  
New Strategy ◽  
Holistic Vision

In a circular economy (CE) environment, it is important to make good and efficient use of resources and consider that the waste generated in production processes can be a valuable resource. However, the tools and methodologies conventionally used to analyze and evaluate production systems are based on techniques focused on linear production management models, where the primary purpose is to reduce the treatment and management of waste as much as possible and where productive and environmental efficiency are not evaluated simultaneously. Changing the paradigm from a linear to a circular economy requires that a new strategy for production systems be defined, one that makes production processes simultaneously circular and efficient (in terms of quality and productivity). In this context, a holistic vision is needed when implementing CE strategies. Therefore, the main aim of this paper is to provide evidence, through two real case studies in the use of water, that the management of this resource without considering systemic thinking may not be the most circular solution. Main results showed that improvements based on the traditional approach of reducing resource use cannot provide the best results if they are supported only by current process consumption without considering the circularity of resources.

Cognitive Control Technology for a Self-Optimizing Robot Based Assembly Cell

2008 ◽  
Author(s):  
Christian Brecher ◽  
Tobias Kempf ◽  
Werner Herfs
Keyword(s):  
Cognitive Control ◽  
Production Systems ◽  
Research Approach ◽  
Labor Costs ◽  
Automated Production ◽  
Production Processes ◽  
Assembly Cell ◽  
The Face ◽  
Planning Orientation ◽  
Automation Technology

In the face of global competition there is a great danger for countries with high labor costs (e.g. Germany) to lose more and more production plants to low-wage countries. Almost inevitably there will be a relocation of after-sales services as well as of research and development. Eventually this will cause a significant decline of wealth. For this reason especially high-wage countries are always striving for higher productivity of production processes. On the other hand the products have to be of high-end quality to ensure an advantage in the market. Thus there is an obvious dilemma between planning-orientation and value-orientation which has to be resolved. This could possibly be obtained by shifting planning efforts to the runtime system and at the same time enabling the system to adapt to changing requests and circumstances. In order to get there, automation technology is definitely playing a key role in present-day highly automated production processes. Unfortunately classical automation technology has not been supporting this kind of self-organizing, self-controlling and self-optimizing behavior. This paper introduces an approach to make production systems more “intelligent” based on the idea of a cognitive control architecture. At first the motivation and the research vision are introduced followed by an outline of the research approach. As a concrete example of an application a robot based assembly cell is described. The methods used and insights gained so far are presented in the second part, followed by an outlook towards future activities.

Absorptive capacity and technology: influences on innovative firms

2019 ◽  
Vol 17 (3) ◽  
pp. 250-265
Author(s):  
Angel Martinez-Sanchez ◽  
Manuela Perez-Perez ◽  
Silvia Vicente-Oliva
Keyword(s):  
Production Technology ◽  
Absorptive Capacity ◽  
Production Systems ◽  
Innovation Performance ◽  
Flexible Production ◽  
Content Type ◽  
Technology And Innovation ◽  
Production Processes ◽  
The Relationship ◽  
Agile Production

Purpose The purpose of this paper is to analyze the relationship between agile production (flexible production technology) and absorptive capacity. Design/methodology/approach We use a database of 1,864 Spanish industrial firms from the Survey of Business Strategies (the largest Spanish database of its kind). Our theoretical approach is based on the resource-based view and the dynamic capabilities perspective. The methodology includes descriptive statistics analysis and lineal regression with moderator effect. Findings High-agile firms with greater absorptive capacity are more innovative and better performers than low-agile firms. Absorptive capacity moderates the relationship between flexible production technology and innovation performance. Research limitations/implications This is a cross-sectional study, which may limit the establishment of causal relationships. We give evidence to the importance of studying absorptive capacity in the agile production implementation process. Practical implications There are several managerial implications. First, agile production systems should be integrated into the firm’s innovation system because the continuous improvement of agile production has to be reinforced by the outputs of external knowledge and in-house innovation activities. Second firms that use external sources of knowledge to improve production processes could leverage that benefit better, not only in Operations but also in innovation performance. The adoption of flexible production technology cannot be kept apart from the firm´s organizational learning processes based on external knowledge. Our results also support the contribution of clusters of collaborative firms to improve their production processes throughout absorptive capacity and thus the implementation of agile production systems. Originality/value This is the first study, to the best of our knowledge, has involved the role of absorptive capacity, as an internal capability/competence, to influence the relationship between agility/flexible technology and innovation performance.

scholarly journals Energy Efficiency in Industry 4.0: The Case of Batch Production Processes

2020 ◽  
Vol 12 (16) ◽  
pp. 6631 ◽  
Author(s):  
Giancarlo Nota ◽  
Francesco David Nota ◽  
Domenico Peluso ◽  
Alonso Toro Lazo
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Production Systems ◽  
Decision Makers ◽  
Batch Processes ◽  
Energy Losses ◽  
Manufacturing Processes ◽  
Batch Production ◽  
Production Processes ◽  
Cyber Physical Production Systems

We derived a promising approach to reducing the energy consumption necessary in manufacturing processes from the combination of management methodologies and Industry 4.0 technologies. Based on a literature review and experts’ opinions, this work contributes to the efficient use of energy in batch production processes combining the analysis of the overall equipment effectiveness with the study of variables managed by cyber-physical production systems. Starting from the analysis of loss cause identification, we propose a method that obtains quantitative data about energy losses during the execution of batch processes. The contributions of this research include the acquisition of precise information about energy losses and the improvement of value co-creation practices so that energy consumption can be reduced in manufacturing processes. Decision-makers can use the findings to start a virtuous process aiming at carbon footprint and energy costs reductions while ensuring production goals are met.

Target-Based Evaluation of Disturbances in Production Systems

2014 ◽  
Vol 1018 ◽  
pp. 589-596 ◽  
Author(s):  
Konja Knüppel ◽  
Iwan Nikitin
Keyword(s):  
Production Systems ◽  
Causal Factor ◽  
Shop Floor ◽  
Research Focus ◽  
Research Project ◽  
Production Processes ◽  
Disturbance Management

Ever-increasing networking and complexity make production processes more susceptible to disturbances. Being able to handle disturbances quickly and effectively is an evolving factor of a company's competitiveness. The research project "Nachhaltiges Störgrößenmanagement in produzierenden KMU" (Sustainable disturbance management in producing SMEs), conducted at the Institute for Production Systems and Logistics (IFA), is developing a methodology aimed at helping users identify and initiate actions against production disturbances. One research focus was on developing a causal factor chart of the interdependencies between target variables on the shop floor in order to obtain a faster and more objective means of evaluating the effects and significance of disturbances.

scholarly journals Methods and Procedures Applied to Design of Production Processes and Systems

TEM Journal ◽  
2020 ◽  
pp. 1435-1442
Author(s):  
Naqib Daneshjo ◽  
Vladimír Rudy ◽  
Peter Drábik ◽  
Peter Malega
Keyword(s):  
Production Systems ◽  
Production Processes ◽  
General Support ◽  
Innovative Culture ◽  
A Company ◽  
Successful Production

This paper is oriented to the production systems of a company that have to show increased flexibility and a permanent ability in dealing with dynamic requirements of the market and with respect to the products, their functions and variants. Innovative processes and a general support of innovative culture are the key to development and they are an important prosperity tool. They are accompanied by activities that lead to successful production and use of technical novelties and knowledge.

scholarly journals Assessment methods of production processes reliability – state of the art

2017 ◽  
Vol 41 (1) ◽  
pp. 247-276 ◽  
Author(s):  
Maciej Chlebus ◽  
Sylwia Werbińska-Wojciechowska
Keyword(s):  
Production Systems ◽  
State Of The Art ◽  
Reliability Assessment ◽  
Reliability Theory ◽  
Multidimensional Approach ◽  
Production Engineering ◽  
Production Processes ◽  
Process Reliability ◽  
Reliable Performance

Abstract In the paper, authors focus on a problem of reliable performance of production processes. Reliability analyses of production systems regard considering many different factors and requirements. As a result, the paper discusses the basic definitions from the area of production engineering and reliability theory. Based on the literature research, there is proposed a basic classification of methods for production processes reliability assessment. Later, authors focus on the development of a multidimensional approach to production process reliability assessment. The work ends up with summary and directions for further research.

scholarly journals Utilization of computer simulation for optimization of furniture production system

BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 6752-6765
Author(s):  
Roman Bambura ◽  
Erika Sujová ◽  
Helena Čierna
Keyword(s):  
Computer Simulation ◽  
Production System ◽  
Production Line ◽  
Production Systems ◽  
Discrete Event ◽  
Simulation Software ◽  
Production Optimization ◽  
Furniture Manufacturing ◽  
Production Processes ◽  
Method Of Production

Computer simulation methods are currently used to simulate production processes and optimize production systems. Computer simulation is one of the most effective tools for implementation of Industry 4.0 principles in industrial practice. This research focused on the optimization of production processes in furniture production using simulation, which is an innovative method of production optimization for furniture manufacturers. The aim of this research was to improve the production system of Slovak furniture manufacturing enterprise by creating a discrete event simulation model of production based on the analysis of its current state. Improvement indicators are specific parameters of the production system, which primarily include material flow, productivity, and workload utilization. First, with the use of Tecnomatix Plant Simulation software and the collected real production data, the original production system processes were simulated and analyzed. Second, the incorporation of more powerful devices was proposed to improve the production line. Third, the proposed improvements were simulated and analyzed. The result of this research was a statistical comparison of the parameters of the current production line and the proposed production improvements.

The Operating Diagnostics in the Computer Aided Systems of Production Processes

2015 ◽  
Vol 791 ◽  
pp. 3-9 ◽  
Author(s):  
Piotr Wittbrodt ◽  
Alfred Paszek
Keyword(s):  
Production Systems ◽  
Research Work ◽  
Manufacturing Processes ◽  
Initial Structure ◽  
Diagnostic Systems ◽  
Future Directions ◽  
Production Processes ◽  
Vibroacoustic Signal ◽  
Signal Characteristics ◽  
Decision Making System

The paper presents the operational diagnostic problems in production systems. It briefly discusses the estimation of vibroacoustic signal characteristics used in diagnostic systems, the possibility of applications have been pointed out. Basing on the elements of the fuzzy logic, decision-making system in the areas of ambiguity during machining has been presented.An initial structure of the integrated supporting system of manufacturing processes dedicated to small and medium-sized enterprises in the metal industry have been shown. Future directions of authors’ research work have been indicated.

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