scholarly journals Green Activity-Based Costing Production Planning and Scenario Analysis for the Aluminum-Alloy Wheel Industry under Industry 4.0

2019 ◽  
Vol 11 (3) ◽  
pp. 756 ◽  
Author(s):  
Wen-Hsien Tsai ◽  
Po-Yuan Chu ◽  
Hsiu-Li Lee
Keyword(s):  
Aluminum Alloy ◽  
Production Planning ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Carbon Tax ◽  
Production Costs ◽  
Fourth Generation ◽  
Activity Based Costing ◽  
Material Cost ◽  
Alloy Wheel

The industrial revolution has grown to the fourth generation, or so-called Industry 4.0. The literature on Industry 4.0 is quite extensive and involves many different dimensions; however, production costs under Industry 4.0 have seldom been discussed. On the other hand, environmental problems are increasingly serious nowadays. Activity-Based Costing is a mature accounting method that can easily trace direct and indirect product costs, based on activities, as well as trace the carbon tax to products, which may lead to different product combinations, in order to reduce environment problems. Thus, the purpose of this paper is to propose a green activity-based costing production planning model under Industry 4.0. In order to make the paper more realistic, we suggest three models with five possible scenarios: normal and material cost fluctuation, material cost discount, and carbon tax with the related cost function. The Aluminum-Alloy Wheel industry was chosen as the illustrative industry to present the results. The model provides managers with a way to deal with the cost problem under Industry 4.0 and to be able to handle the environmental issues in making production decisions. This paper also provides suggestions for governments that have not considered carbon taxation.

scholarly journals Enhancement of Time-Driven Activity–Based Costing (TDABC) by using Simulation in Manufacturing Process towards Industry 4.0

2019 ◽  
Vol 8 (10) ◽  
pp. 1895-1900 ◽  
Keyword(s):  
Simulation Model ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Model Simulation ◽  
Conventional Technique ◽  
Cost Driver ◽  
Production Costs ◽  
Activity Based Costing ◽  
Automotive Manufacturing ◽  
Costing System

The new industrial revolution brings changes to organizations that will need to adapt their system to sustain their business in a highly competitive market. In term of costing, most manufacturers continuously working towards reducing production costs by focusing on activities process improvement and resources as a cost driver. One of the current problems faced by most manufacturers that adopted Time-Driven Activity-Based Costing (TDABC) is lack of combined used of simulation as a tool for validation. Conventional technique also caused users estimated incorrect variables consideration to the costing system. The purpose of this paper is to provide a system for managers or decision makers to analyze results which can significantly reduce production costs by eliminating unnecessary resources with the aid of a simulation model. Simulation was proposed as new approach to determine the optimum results based on the given scenarios. An analysis on how the framework was implemented at an automotive manufacturing company was illustrated the enhancement of TDABC by using simulation. Results of conventional method using Activity Based Costing (ABC) was compared with TDABC where existing production layouts and parameters were maintained. Simulation model was created based on current situation and the results were compared to the old method. The results indicated that simulation can easily be adapted to support the planned and operational TDABC activities. Towards industry 4.0 it was proven that simulation is one of the key technologies in the new industrial revolution. Besides that, TDABC methodology in this research is more accurate and faster, by means of an enhanced decision-making process and supported organization manufacturing system.

scholarly journals INDUSTRY 4.0 and TURKEY

2019 ◽  
Vol 7 (1) ◽  
pp. 24-41
Author(s):  
Esra YAŞAR ◽  
Tuba ULUSOY
Keyword(s):  
Product Quality ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Costs ◽  
International Competition ◽  
Smart Factory ◽  
Fourth Industrial Revolution ◽  
Survey Technique ◽  
The World

  In 2011, Germany kicked off the Fourth Industrial Revolution (Industry 4.0) to empower its economy. Since then, revolutionary changes have been implemented all over the world, increasing international competition. Smart-factory capabilities emerging from Industry 4.0 have many benefits such as lowering production costs of existing factories and increasing product quality. However, with such revolutionary changes, an orientation period is required for any implementer. To efficiently manage such an orientation period, the extant situation must first be analyzed. Only then should the necessary changes and innovations be applied. In this study, Turkey’s Industry 4.0 adoption opportunities are evaluated by using a survey technique that analyzes extant situations and potential results.

scholarly journals Industry 4.0: Challenges and Opportunities for the Labor Market

2021 ◽  
Vol 82 (2) ◽  
pp. 36-44
Author(s):  
S. Bespalyy ◽  
Keyword(s):  
Labor Market ◽  
Labor Markets ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
18Th Century ◽  
Low Cost ◽  
The Elderly ◽  
Production Costs ◽  
Structural Problems ◽  
The Impact

Main problem: In the 18th century, when industrial production began, the use of steam and mechanized production caused major changes in the economy. As a result, production costs decreased along with an increase in the quantity and quality of products. During this period, production underwent a revolutionary transition from manual labor to mechanization. The potential impact of Industry 4.0 on labor markets remains an under-explored scientific field. It is estimated that Industry 4.0 will lead to unemployment by changing the employment structure and will bring new structural problems in terms of unemployment and labor relations. Purpose: The purpose of the study was to establish the impact of Industry 4.0 on the labor market and identify the consequences of the impact. Methods: studied, the evolution of production development, when mass production with electricity led to the Age of Industry 2.0, and then the emergence of the digital revolution, the use of electronics and information technology in production processes, marked the beginning of the Age of Industry 3.0. It is expected, according to international experts, scientists, that automation and robotic production will have a serious impact on the unskilled workforce and cause a critical reduction in the labor force of vulnerable sectors of society, that is, women, migrants, youth and the elderly. Results and their significance: This study assessed the possible impact of the fourth industrial revolution on labor markets. Through a literature review and analysis of emerging trends in Industry 4.0, the risks, opportunities and challenges of the process are explored in a comparative perspective. It has been established that countries must correctly perceive the transformation of labor markets and take appropriate measures. Otherwise, the applied labor-based low-cost industrialization model will lose its comparative advantage.

Prioritizing the Enablers of Construction Supply Chain in the Industry 4.0 Environment

2021 ◽  
pp. 1312-1332
Author(s):  
Vivek Agrawal ◽  
Seemant Kumar Yadav ◽  
R. P. Mohanty ◽  
Anand M. Agrawal
Keyword(s):  
Supply Chain ◽  
Web Service ◽  
Construction Industry ◽  
Management Information System ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Fourth Generation ◽  
Temporary Work ◽  
Construction Organizations

Industry 4.0, the fourth-generation industrial revolution, is not only changing the manufacturing industry but others also, like the construction industry and the related supply chain issues. The construction industry has its own challenges (e.g., temporary work and involvement of high coordination, among others). This study is an attempt to explore the enablers to overcome these issues and prioritize them. Decisions are more complex if they are intangible, non-expressible, qualitative, etc. To overcome this problem in the present study, AHP technique is used. With the help of AHP, 4 enablers and 14 sub-enablers of construction supply chain are prioritized. E-supply chain management is ranked first followed by digitization, tracking and localization, and cloud computing. In the case of sub-enablers, web service technology comes at first rank whereas management information system comes at 14th rank. This study will help the managers and professionals in construction organizations in building a good setup by focusing on these explored enablers.

SOCIAL RESPONSIBILITY OF BUSINESS IN INDUSTRY 4.0

2019 ◽  
Vol 20 (3) ◽  
pp. 89-102
Author(s):  
Wioletta Ocieczek ◽  
Bożena Gajdzik
Keyword(s):  
Social Responsibility ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Knowledge Development ◽  
Fourth Generation ◽  
Literary Study ◽  
Socially Responsible ◽  
Fourth Industrial Revolution

The purpose of this publication was to prepare content about the evolution of socially responsible business in industry 4.0. Thesis presents key areas of the responsible business at level 4.0. Thesis was created based on literary study and presents contribution of its authors into knowledge development in scope of area changes in SR on Industry 4.0 level. Thesis introduction reminds the essence of SR, at the next stage in the reference to selected conceptual approaches the image of Industry 4.0 was presented. Thesis outlines the specification of Industry 4.0 called fourth industrial revolution or industry of fourth generation. Next section of the work briefly describes studies in area of responsible business 4.0 which are currently very rare. The last part of this thesis presents the main directions of responsibility impact in industry 4.0, and discusses the conclusions regarding the challenges for SR development. The work ends with a summary together with an indication of the main directions of development of responsibility in Industry 4.0.

scholarly journals Otomasi Perencanaan Produksi Pada Sekolah

2020 ◽  
Vol 5 (1) ◽  
pp. 68
Author(s):  
Dwi Haris Sanjaya ◽  
Yoga Firmansyah ◽  
Moch. Irsyadul Anam ◽  
M. Ainul Yaqin
Keyword(s):  
Production Process ◽  
Production Planning ◽  
Business Processes ◽  
Raw Materials ◽  
Production Costs ◽  
Activity Based Costing ◽  
Microsoft Excel ◽  
Descriptive Research ◽  
School Business ◽  
Using Data

Production planning is very important in business processes. Production planning aims to minimize the total cost of production. In this research, automation of production planning is done using data obtained based on school business processes. The purpose of this study is to determine the best production costs for the smooth production process of schools. This research uses descriptive research. Descriptive research aims to obtain information in the implementation of school business process planning. The calculation of production costs in this study uses the Activity Based Costing (ABC) technique and is carried out using Microsoft Excel. The calculation of this research is done by first determining the total target and raw materials from the school production process, then calculating the production costs of this school production process. The results of these calculations found that the optimal production cost for each student of a total of 300 students during the 3-year learning period is Rp. 605,728. From this study, it is also known that the total number of students and labor directly affects the amount of production costs.

Industry 4.0 Adaption in Indian Banking Sector—A Review and Agenda for Future Research

2021 ◽  
pp. 097226292199682
Author(s):  
Ritika Gupta
Keyword(s):  
Value Chain ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Banking Sector ◽  
Fourth Generation ◽  
Future Research ◽  
And Control

Digitalization and intelligization is the need of the hour in today’s world. The manufacturing industry is, in fact, moving towards the fourth-generation industry, which we termed as Industry 4.0 or the Fourth Industrial revolution, which is defined as a new level of organization and control over the entire value chain of the life cycle of products; it is geared towards increasingly individualized customer requirements. Industry 4.0 is all about talking in terms of big data, technology, cyber security, the Internet of Things (IoT) and so on. This study is done to understand the new emerging technology in data exchange and automation, popularly known as Industry 4.0, in terms of banking sector with context to the Indian banking sector. The study focuses on studying banks in a digitalized word and what are the challenges that banks face. How banks cope up with digitalization, keeping customers at priority. This study centred on incorporating articles published in recent years to establish knowledge on the topic and to further identify areas for future research.

scholarly journals Are We Ready for the Challenge of Banks 4.0? Designing a Roadmap for Banking Systems in Industry 4.0

2020 ◽  
Vol 8 (2) ◽  
pp. 32 ◽  
Author(s):  
Amir Mehdiabadi ◽  
Mariyeh Tabatabeinasab ◽  
Cristi Spulbar ◽  
Amir Karbassi Yazdi ◽  
Ramona Birau
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Distinct Pattern ◽  
Fourth Generation ◽  
Fully Integrated ◽  
Practical Applications ◽  
Industrial Companies ◽  
Key Indicators ◽  
Global Banks ◽  
Technology Trends

The purpose of the present paper is to provide an advanced overview of the practical applications of Banking 4.0 in Industry 4.0. This paper examines the technology trends in the Fourth Industrial Revolution and identifies the key indicators behind the creation of a strategic map for the fourth-generation banks and their readiness to enter Industry 4.0. This paper examines a systematic review of fully integrated Banking 4.0 and the application of the technologies of Industry 4.0 and illustrates a distinct pattern of integration of Banking 4.0 and Industry 4.0. One of the prominent features of this article is the performance of successful global banks in applying these technologies. The results showed that Banking 4.0 in Industry 4.0 is an integrative value creation system consisting of six design principles and 14 technology trends. The roadmap designed for banks to enter Industry 4.0 and how they work with industrial companies will be a key and important guide.

scholarly journals Exploring the Determinants of Industry 4.0 Development Using an Extended SWOT Analysis: A Regional Study

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5972
Author(s):  
Katarzyna Szum ◽  
Joanicjusz Nazarko
Keyword(s):  
Energy Efficiency ◽  
Industry 4.0 ◽  
Industrial Development ◽  
Industrial Revolution ◽  
Swot Analysis ◽  
Fourth Generation ◽  
Regional Study ◽  
Research Procedure ◽  
External Incentives ◽  
Analytical Tools

Researchers and practitioners argue that in the global context of the Fourth Industrial Revolution, also labelled Industry 4.0, the regional dimension of industrial development remains equally essential. A region that effectively implements the concept of Industry 4.0 can accelerate by enhancing the manufacturing energy efficiency, thus contributing to the goals of the “Green Deal” policy. Therefore, to support the policy-making process, it is necessary to develop analytical tools exploring the determinants of the Industry 4.0 development. This paper presents a methodology of strategic analysis of a region in terms of the Industry 4.0 development potential. The core of the methodology is an extended Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis. The study identifies regional strengths and weaknesses, external incentives and disincentives, internal opportunities and threats, and external opportunities and threats with regard to the development of Industry 4.0, related technologies and the potential of increasing manufacturing energy efficiency. The research procedure is exemplified by the case of Podlaskie Voivodeship in Poland. The results of this study demonstrate the robustness of the proposed approach. The elaborated methodology can be used by decision-makers in designing strategies for the development of fourth-generation industry at a regional level.

scholarly journals A Framework of Production Planning and Control with Carbon Tax under Industry 4.0

2018 ◽  
Vol 10 (9) ◽  
pp. 3221 ◽  
Author(s):  
Wen-Hsien Tsai ◽  
Yin-Hwa Lu
Keyword(s):  
Production Planning ◽  
Industry 4.0 ◽  
Programming Model ◽  
Carbon Tax ◽  
Optimal Solution ◽  
Production Planning And Control ◽  
Mathematical Programming Model ◽  
Tire Industry ◽  
Planning And Control ◽  
And Control

In recent years, the international community has placed great emphasis on environmental protection issues. The United Nations has also successively enacted relevant laws and regulations to restrain international greenhouse gas emissions and some countries implemented carbon tax levies to reduce air pollution. The tire industry is a manufacturing industry with high pollution and high carbon emissions; therefore, the purpose of this paper is to propose a framework of production planning and control with carbon tax under Industry 4.0 and use the tire industry as the illustrative example. In this framework, the mathematical programming model, with Activity-Based Costing (ABC) and Theory of Constraints (TOC) for production planning, is used to achieve the optimal solution under various production and sale constraints in order to find the optimal product-mix maximizing the profit. On the other hand, Industry 4.0 utilizes new technologies such as 3D printing, robot and automated guided vehicle (AGV) and links all the components in the manufacturing systems by using various sensor systems, Cyber-Physical Systems (CPS) and Internet of Things (IoT) to collect and monitor the activity data of all the components in real-time, to give intelligent responses to various problems that may arise in the factory by the real-time analysis results of cloud computing and big data and to attain the various benefits of Industry 4.0 implementation. The parameters of the mathematical programming model will be updated periodically from the new big data set. In this paper, an illustrative example is used is used to demonstrate the application of the model. From the optimal solution and sensitivity analyses on increasing the raw material’s prices and carbon taxes will affect the profits. This framework can provide a general approach to help companies execute production management in the way of more efficiency, less cost, lower carbon emission and higher quality across the value chain for the tire industry and other industries.

Sign in / Sign up

Export Citation Format

Share Document