scholarly journals Industry 4.0 and Decision Making

Author(s):  
Frédéric Rosin ◽  
Pascal Forget ◽  
Samir Lamouri ◽  
Robert Pellerin

AbstractIndustry 4.0 is an ubiquitous term that suggests significant impacts on the productivity and flexibility of production systems. But to what extent do the various technologies associated with Industry 4.0 contribute to enhance autonomy of operational teams by helping them make better and faster decisions, particularly in the context of Lean production system? This paper proposes a model of different types of autonomy in the decision-making process, depending on whether or not the steps in the decision-making process are enhanced by technologies. This model will be tested afterwards in a use case implemented in a learning factory offering Lean management training before being tested in a real production unit.

Author(s):  
Dominik T. Matt ◽  
Erwin Rauch ◽  
Michael Riedl

Industry 4.0 is for most companies and especially for small and medium sized enterprises (SMEs) one of the major challenges after the wave of lean management. The aim of this chapter is to provide a methodological guidance for the practical use of the Industry 4.0 vision and principles in production system design in the specific context of SMEs. Based on the analysis of literature, a procedure model for the target-oriented introduction of Industry 4.0 principles in SMEs is proposed. A first practical evaluation of the approach is carried out based on two industrial case studies. The experiences made in the industrial cases show that Industry 4.0 is not limited to the application in large enterprises but is very suitable also for SME. This chapter contributes, with its case-study-based methodology, to the existing sparse knowledge on the introduction of Industry 4.0 in SME production systems.


Author(s):  
Dominik T. Matt ◽  
Erwin Rauch ◽  
Michael Riedl

Industry 4.0 is for most companies and especially for small and medium sized enterprises (SMEs) one of the major challenges after the wave of lean management. The aim of this chapter is to provide a methodological guidance for the practical use of the Industry 4.0 vision and principles in production system design in the specific context of SMEs. Based on the analysis of literature, a procedure model for the target-oriented introduction of Industry 4.0 principles in SMEs is proposed. A first practical evaluation of the approach is carried out based on two industrial case studies. The experiences made in the industrial cases show that Industry 4.0 is not limited to the application in large enterprises but is very suitable also for SME. This chapter contributes, with its case-study-based methodology, to the existing sparse knowledge on the introduction of Industry 4.0 in SME production systems.


2009 ◽  
Author(s):  
Marcio Albuquerque Silveira ◽  
Ana Paula Araujo Costa ◽  
Gonzalo Javier Zamora

2009 ◽  
Vol 62-64 ◽  
pp. 275-292
Author(s):  
R.H. Weston

With increased product dynamics world-wide, the average economic lifetime of production systems is falling. Industrial robots are widely assumed to be inherently flexible and therefore that they can function as a programmable building block of response production systems. This paper reviews common capabilities of contemporary industrial robotic systems and investigates their capability to extend the useful lifetime of production system by coping with different types of product dynamic. Also considered are relative capabilities of conventional programmable robots and an emerging generation of programmable and configurable component-based machines.


2019 ◽  
Vol 31 (5) ◽  
pp. 1391-1396
Author(s):  
Gordana Stojmenović ◽  
Lyubcho Varamezov

Business in modern business conditions requires a continuous process of improvement and investment in all activities in the company. In order to survive on the market, resist the challenges of competition, but also the demands of customers, companies are constantly innovating the production process in an effort to improve all the company's activities. One of the production systems that proved to be suitable for continuous improvement and improvement of the production process is Lean production system. It represents the way companies react to the challenges of the present and the future. The Lean production system offers a variety of instruments, and for their implementation and application, managers are at all levels of responsibility and responsibility. Bearing this in mind, it can be said that the Lean production system is part of the management accounting. In addition, it represents a complete philosophy of thinking and action, which results in significant results by adequate application. The condition and the assumption that this management philosophy will lead to proper effectiveness and efficiency and enable them to continually improve in the function of maximizing profits is the authorization of employees to engage in the process of continuous improvement and decision-making. Lean is based on certain principles and philosophies, including customer value, value flow mapping, continuous flow, system requirements, and continuous improvements. Lean focuses on the added value. Lean's principle is a continuous search for perfection, perfection in production and business cooperation, with complete elimination of losses. Companies that implement the Lean Concept are constantly looking for ways to continually improve their efficiency, reduce costs and improve the quality of their products.


2014 ◽  
Vol Volume 2 ◽  
Author(s):  
Hasmik Atoyan ◽  
Jean-Marc Robert ◽  
Jean-Rémi Duquet

The utilization of Decision Support Systems (DSS) in complex dynamic environments leads the human operator almost inevitably to having to face several types of uncertainties. Thus it is essential for system designers to clearly understand the different types of uncertainties that could exist in human-machine systems of complex environments, to know their impacts on the operator's trust in the systems and decision-making process, and to have guidelines on how to present uncertain information on user interfaces. It is also essential for them to have an overview of the different stages, levels, and types of system automation, and to know their possible impacts on the creation of different types of uncertainties. This paper investigates these topics and aim at helping researchers and practitioners to deal with uncertainties in complex environments.


Author(s):  
Luis Alberto Estrada-Jimenez ◽  
Terrin Pulikottil ◽  
Nguyen Ngoc Hien ◽  
Agajan Torayev ◽  
Hamood Ur Rehman ◽  
...  

Interoperability in smart manufacturing refers to how interconnected cyber-physical components exchange information and interact. This is still an exploratory topic, and despite the increasing number of applications, many challenges remain open. This chapter presents an integrative framework to understand common practices, concepts, and technologies used in trending research to achieve interoperability in production systems. The chapter starts with the question of what interoperability is and provides an alternative answer based on influential works in the field, followed by the presentation of important reference models and their relation to smart manufacturing. It continues by discussing different types of interoperability, data formats, and common ontologies necessary for the integration of heterogeneous systems and the contribution of emerging technologies in achieving interoperability. This chapter ends with a discussion of a recent use case and final remarks.


Author(s):  
Maria Pessoa ◽  
Elizabeth Fernandes ◽  
Sonia Nascimento de Queiroz ◽  
Vera Ferracini ◽  
Marco Gomes ◽  
...  

The present chapter provides a brief explanation on some aspects involved in the development of models and mathematical-modelling simulations, to show their benefits to the decision-making process in the environmental impact assessment of agriculture. Aspects concerning the agroecosystems were also presented toward the sustainability of Brazilian agricultural production systems. Some applications which have been developed in Brazil were pointed out, as well as a specific case study conducted at the Guarani aquifer recharge area located in Ribeirão Preto, São Paulo state, in order to show the influence of input data on the results provided by CMLS94 simulator.


Author(s):  
Sule Satoglu ◽  
Alp Ustundag ◽  
Emre Cevikcan ◽  
Mehmet Bulent Durmusoglu

Sign in / Sign up

Export Citation Format

Share Document