scholarly journals Patterns for Visual Management in Industry 4.0

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6440
Author(s):  
Giuseppe Fenza ◽  
Vincenzo Loia ◽  
Giancarlo Nota

The technologies of Industry 4.0 provide an opportunity to improve the effectiveness of Visual Management in manufacturing. The opportunity of improvement is twofold. From one side, Visual Management theory and practice can inspire the design of new software tools suitable for Industry 4.0; on the other side, the technology of Industry 4.0 can be used to increase the effectiveness of visual software tools. The paper first explores how the theoretical result on Visual Management can be used as a guideline to improve human-computer interaction, then a methodology is proposed for the design of visual patterns for manufacturing. Four visual patterns are presented that contribute to the solution of problems frequently encountered in discrete manufacturing industries; these patterns help to solve planning and control problems thus providing support to various management functions. Positive implications of this research concern people engagement and empowerment as well as improved problem solving, decision-making and management of manufacturing processes.

2021 ◽  
Author(s):  
Oksana Butkevich ◽  

One of the most important tasks of management accounting is to provide quality and efficient accounting information to users. The effectiveness of management accounting is manifested through the implementation of its functions, so it is relevant and urgent to consider them. The aim of the article is to study the composition, number and content of the functions of management accounting. The research methodology was based on general scientific methods of cognition like historical, logical, systemic methods, induction, deduction, analysis, as well as the methods of classification and grouping. According to the results of the research, it is found that currently there is no unified, generally accepted approach to the composition and number of the functions of management accounting (on average, there are distinguished five functions). Almost all researchers indicate information and control functions; analytical, predictive and communication functions are also present in most of the authors' papers analyzed. In some works, there are not quite appropriate combinations of two separate functions in one, and also there are similar titles of one and the same function of management accounting. There is a separation of rather narrow, specific functions, which are inherent only in certain management processes. We have summarized 32 different functions of management accounting, analyzed their number and composition, covered more than 50 authorial meanings for each of them. It has been found that researchers determine the different composition and essence of the functions depending on the direction of the study, its object and the specifics of the industry. It is quite logical that most of the various interpretations are given to the content of the information function of management accounting. According to the Conceptual Framework for Management Accounting developed by the International Federation of Accountants, the following functions have only one definition: analytical (evaluation), control and analytical, scientific and cognitive, new scientific and cognitive, motivation, organization, organizational and communication, planning and control, prognostic, reputational and the functions of management accounting. Prospects for further research are to consider the relationship between the functions of management accounting and management functions and to establish the quality and features of the manifestation of the functions of management accounting under the influence of industry characteristics of enterprises.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Milton C. Soares ◽  
Cristiano V. Ferreira ◽  
Thiago B. Murari

AbstractCOVID-19 outbreak has heavily impacted the manufacturing industry, including Brazilian Automotive Industry. The effects of COVID-19 created restrictions in several industry processes as supply chain. On the other hand, several industry 4.0 technologies is able to support the industry supply chain activities in the COVID 19 scenarios, as well it may contributed for the automotive industry recovery and it will define the next steps of this industry. A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. Industry 4.0 is related to the technology development and the digitalization process that improve significantly productivity. Considering the automotive process, an important reference model is described in Advanced Product Quality Planning and Control Plan, that is a manual that communicate the guidelines of the product quality planning and control plan for internal and external suppliers. In this scenario, this paper evaluated the current situation and the future outlook for the adoption of Industry 4.0 technologies in the automotive OEM post-pandemic scenario on the point of view of automotive specialists. The results of this research provide an overview of the current situation and the future outlook for the usage of Industry 4.0 technologies by the Brazilian Northeast automotive OEM, from the perspective of manufacturing engineering experts on APQP.


2018 ◽  
Vol 60 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jana-Rebecca Rehse ◽  
Sharam Dadashnia ◽  
Peter Fettke

Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.


2021 ◽  
Vol 27 (2) ◽  
pp. 100-107
Author(s):  
Radosław Wolniak

Abstract The theoretical aim of the paper is to analyses the main function and concept of production control in operation management. The empirical aim of the paper is to investigate polish production firm opinion about factors affecting production planning and control and also functions of production planning and control. Production control is very important in every factory, and every aspect of operation and production management especially in times of Industry 4.0 conditions. In the paper we presented all classical seven task of production management control. Also there is in the paper an analysis of main factors affecting production control in industrial organization. In the paper we analysed the problems connected with production control. Nowadays in the conditions of Industry 4.0 this is very important concept because the increasing level of digitalization of all industrial processes leads to possibility of detailed analysis of all processes and better level of control. Operation managers should have good level of knowledge about production control and especially quality control. They can use in this many new information tools like statistical methods and artificial intelligence. Especially we think that in the future many function of production control would be assisted by artificial intelligence. We also in the paper give results of research conducted on example of 30 polish production organizations located in Silesia region.


2020 ◽  
Vol 3 (1) ◽  
pp. 108-117
Author(s):  
Vince Ariany ◽  
Sinta Sintia

The purpose of this study was to determine the effect of the cash budget, as a planning and control tool on the level of liquidity in the Amien Kitchen Cake Shop. This research uses descriptive qualitative method. Analysis is done by collecting data and analyzing how to use the cash budget to make comparisons between theory and practice and set forth to explain an explanation of the numbers and then explained again in the form of prose or standard language description. The results of this study accept that the cash budget as a planning tool and cash budget as a control tool together have a significant influence on the level of liquidity.


Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2072 ◽  
Author(s):  
Wen-Hsien Tsai

The textile industry is one of the world’s major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and finally achieving a maximization of profit. The main contributions of this research are using mathematical programming approach to formulate the decision model with ABC cost data and TOC constraints for the textile companies and clarifying the relation between mathematical programming models and Industry 4.0 techniques. Managers in the textile companies can apply this decision model to achieve the optimal product-mix under various constraints and to evaluate the effect on profit of carbon emissions, energy recycling, waste reuse, and material quantity discount.


1997 ◽  
Vol 30 (20) ◽  
pp. 267-273 ◽  
Author(s):  
Yannick Aoustin ◽  
Michel Fliess ◽  
Hugues Mounier ◽  
Pierre Rouchon ◽  
Joachim Rudolph

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