scholarly journals Development of multi-value circulation based on remanufacturing

2019 ◽  
Vol 107 (1) ◽  
pp. 103
Author(s):  
Kenichi Nakajima ◽  
Mitsutaka Matsumoto ◽  
Hideyuki Murakami ◽  
Masao Hayakawa ◽  
Yasunari Matsuno ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Production Management ◽  
Industrial Process ◽  
Circulation System ◽  
Critical Element ◽  
Material Recycling ◽  
Repair Materials ◽  
Carbide Distribution ◽  
Single Use ◽  
Efficient Manufacturing

Remanufacturing is an industrial process that turns used products into new ones with the same quality, functionality, and warranty as new products; it is a critical element for realizing a resource-efficient manufacturing industry and a circular economy. Remanufacturing may involve adding new and better functionality to used products, such as adding more wear-resistant materials to the surface or new sensor systems. Remanufacturing has been undertaken for products such as: automobile parts, machinery, photocopiers, single-use cameras, furniture, and turbine components, etc. It is generally superior to material recycling in terms of energy and material savings. Our project aims to develop technologies necessary for the promotion of remanufacturing and to establish a cooperative network related to remanufacturing. As technical development items, our aim is to develop methods to assess the reliability of parts/components, develop technologies to restore deteriorated metal surfaces of used products, introduce production management methods for remanufacturing, and design a circulation system to retain the added values of products. In this paper, we introduce an outline of the project and present some preliminary results. This paper shows the possibility to quantitatively evaluate the carbide distribution (size and density) of the carburized surface of a gear, and also shows the potential to repair materials exposed to a high-temperature oxidative atmosphere by Pr-Ir coating technology.

The Design and Development of the Mobile Terminal Based on MES

2014 ◽  
Vol 962-965 ◽  
pp. 2928-2931 ◽  
Author(s):  
Wang Lei
Keyword(s):  
Information System ◽  
Mobile Computing ◽  
Real Time ◽  
Manufacturing Industry ◽  
Production Management ◽  
Rapid Development ◽  
Developed Countries ◽  
Manufacturing Execution System ◽  
Computing Technology ◽  
Real Time System

Abstract.As a pillar industry of the national economy, manufacturing is the centralized embodiment of the international competitiveness. Manufacturing industry in china has developed quickly and gotten lots of achievements in recent years. Nevertheless, compared with the developed countries, we still have great gaps, such as the improper ratio of the light and heavy industry,the lacking ability of market research and technical innovation, especially the out-dated concept of management which hinder the development of the manufacturing industry in our country seriously. Nowadays, the most widely used real-time system of management in manufacturing is the Manufacturing Execution system(MES for short). MES is a kind of production management technology and real-time information system facing manufacturing workshop,also is the management information system facing the workshop between the management system at the top and the control system at the bottom. Mobile computing is a kind of new arisen technology at the basis of the rapid development of mobile communication, the Internet, database, distributed computing technology and so on. Mobile computing technology will make the computer or other information intelligent terminal equipments transfer data and share resources in wireless environment.

Study on Design Proposal of Computerized Numerical Control Machine Networking

2013 ◽  
Vol 748 ◽  
pp. 699-703
Author(s):  
Zhang Lei
Keyword(s):  
Network Management ◽  
Manufacturing Industry ◽  
Production Management ◽  
Numerical Control ◽  
Network System ◽  
Cnc Machine ◽  
Engineering Technology ◽  
Enterprise Technology ◽  
Speed Up ◽  
Design Proposal

At present, the majority of enterprise technology management and production management have entered the network era. The demand for people who are occupied in 3D product design, numerical control advanced engineering technology is gradually increased. In order to speed up the production development of factories, we need to greatly improve the productivity of CNC machine. Therefore, CNC networking and management is imperative. This article describes background of the implementation of the numerical network management as well as its necessity. According to the industry characteristics of design and manufacturing and production management, this paper analyzes proposals on the network management system of CNC and describes the main functions of the machine network system and the results after the implementation. The network system of CNC is to improve the productivity of CNC machine, and give references to the application of CNC machine networking in large machine manufacturing industry.

scholarly journals TEAMWORK IN MANUFACTURING ENTERPRISE PERFORMANCE ACHIEVEMENT

2018 ◽  
Author(s):  
Inese Lusena-Ezera ◽  
Diana Liduma
Keyword(s):  
Production Management ◽  
Work Organization ◽  
Team Work ◽  
Enterprise Performance ◽  
Common Goal ◽  
Manufacturing Enterprise ◽  
Performance Achievement ◽  
Manufacturing Enterprises ◽  
Efficient Manufacturing ◽  
Determinant Factor

Even though various work organization forms and instruments exist for efficient manufacturing pro-cess and economic efficiency achievement in manufacturing enterprises, the issue is still topical which of the factors in production management – human resources or technologies is the main impellent in performance achievement in manufacturing enterprises. Research aim is to find out whether ap-proach based on teamwork is applied in performance achievement. Different level managers of eight manufacturing enterprises (total 21 managers) from Liepaja City (Latvia) and suburban area were questioned. Research results prove that in manufacturing enterprise performance characteristics of teamwork can be noticed in general. However, size of manufacturing enterprise (number of employ-ees) is the determinant factor to whether employees’ strive for a common goal and believe in team-work in

scholarly journals The research of hidden Markov models for overall equipment effectiveness analysis in smart manufacturing system

2018 ◽  
Vol 192 ◽  
pp. 01013
Author(s):  
Chia- Yu Hung ◽  
Chen- Yang Cheng
Keyword(s):  
Radio Frequency Identification ◽  
Manufacturing Industry ◽  
Production Management ◽  
Production Efficiency ◽  
Error Rates ◽  
Smart Manufacturing ◽  
Production Cycle ◽  
Production Quantity ◽  
Machine Utilization ◽  
Low Efficiency

In the manufacturing industry, excellent product quality and increased production flexibility can be achieved by eliminating waste and improving production efficiency. In the past, the manufacturing industry used manual records of production information, but this method is characterized by low efficiency and high error rates. Even if a programmable logic controller and radio-frequency identification are employed, problems still occur because of constraints such as different machine types and high costs. The use of a cyber–physical system and information visualization requires the collection of manufacturing information in order to facilitate the analysis of manufacturing data. Monitoring the machining status. This study proposes an approach for segmenting machine-processed signals. With plug-and-play noninvasive current-sensing equipment to collect machine production information, this approach can immediately determine the state of the manufacturing process and calculate the machine utilization, machine production cycle, and production quantity. The goal is to enable the use of this method with this equipment, improve machine utilization, instantly identify the production quantity, and reduce equipment idle time to reduce manufacturing waste, thus rendering production management more convenient and faster.

Technology and Education Inputs for Productivity Enhancement in Garment Manufacturing in the Developing World

2021 ◽  
Vol 7 (5) ◽  
pp. 3853-3865
Author(s):  
Singh Rana Kamaljit ◽  
Singh Randhawa Jagjit ◽  
Kalra Praveen
Keyword(s):  
Time Management ◽  
Manufacturing Industry ◽  
Production Management ◽  
Developing World ◽  
Measurement Techniques ◽  
Secondary Data ◽  
Efficient Production ◽  
Apparel Manufacturing ◽  
The Subject ◽  
Garment Manufacturing

Efficient production management in the garment manufacturing industry is estimated by using work measurement techniques. These techniques are based on standard processing timings. Several studies have been undertaken using the time study technique to enhance productivity of the garment production lines in an apparel manufacturing factory. Efficiency is translated into the time spent on carrying out a particular function, this time consumption is dependent upon the worker’s level of fatigue and quality of output. The entire onus of responsibility of the worker’s output becomes anchored on his or her ability to carry out repetitive actions over long durations of time.Objectives: This paper examines the work of various scholars as well as scrutinizes the performance of certain repetitive actions in the garment manufacturing process in apparel industries employing large numbers of workers. The objective is to project a rationale for the development of work aids to significantly enhance productivity.Methods: A secondary data review is being conducted to find out the work of other researchers in the field of garment manufacturing. The author has developed his own contribution in the form of work aid interventions to help in the process. A Review of literature on the subject was attempted to obtain the required information and insights on the subject.Finding: There is a widely felt need for the creation of active work aids in the garment manufacturing industry to promote the worker efficiency as also the overall productivity of the industry.Scope: The research based study has large and far-reaching scope for the garment manufacturing industry. All manufacturing units are constantly on the lookout for promoting efficiency and productivity. They are willing to appreciate all forms of interventions to improve time management and enhanced output of products. The findings of this review paper have broad based applicability for the garment manufacturing industry not only in India but also in most of the developing world.

scholarly journals Integrated planning of production and maintenance for imperfect system with subcontracting strategies

2020 ◽  
Vol 12 ◽  
pp. 184797902092978
Author(s):  
Nouhayla Hafidi ◽  
Abdellah El Barkany ◽  
Abderrahman El Mhamedi ◽  
Morad Mahmoudi
Keyword(s):  
Production System ◽  
Manufacturing Industry ◽  
Production Management ◽  
Lot Sizing ◽  
Control Policy ◽  
Optimization Approach ◽  
Capacitated Lot Sizing ◽  
Quality Control Strategy ◽  
Imperfect System ◽  
And Control

The purpose of this article is to deal with subcontracting strategies in the context of production, maintenance and quality integration. We study the multi-item capacitated lot-sizing problem for a production system composed of a single machine. The production system is considered imperfect, producing both conforming and non-conforming items. However, the deterioration of the system is a function of the time and production rate, which affects the quality of the manufactured items. Consequently, a quality control strategy is established, the aim is to inspect, adjust and control the manufactured items. To solve our problem, an evolutive optimization approach is proposed, namely the genetic algorithm (GA). Then, in order to adjust the parameters of GA, we use the Taguchi method. This article is one of the few documents dealing with integrated production management, maintenance and quality under subcontracting constraints that takes into account the complex aspect of the multi-item manufacturing industry. Then, a sensitivity analysis is also carried out to illustrate the robustness of the proposed control policy. Finally, we compare our results with the literature to validate our approach and highlight the advantage of subcontracting in minimizing costs.

scholarly journals Methodology for bottleneck identification in a production system when implementing TOC

2020 ◽  
Vol 12 (2) ◽  
pp. 74-82
Author(s):  
Wieslaw Urban ◽  
Patrycja Rogowska
Keyword(s):  
Literature Review ◽  
Production System ◽  
Manufacturing Industry ◽  
Production Management ◽  
Theory Of Constraints ◽  
System A ◽  
Bottleneck Identification ◽  
Scoping Literature Review ◽  
Practical Tool

AbstractFor TOC (Theory of Constraints) implementation in a production system, the determination of the system's bottleneck is a crucial step. Effective bottleneck identification allows setting priorities for the improvement of a production system. The article deals with a significant problem for the manufacturing industry related to the location of a bottleneck. The article aims for a detailed analysis of methods for bottleneck identification based on a comprehensive literature review and the design of a generalised methodology for bottleneck identification in the production system. The article uses two research methods, first, the combination of a narrative and scoping literature review, and second, the logical design. Several methods for bottleneck identification are reviewed and compared, finding some being similar, and others giving new insights into the evaluated production system. A methodology for bottleneck identification is proposed. It contains several detailed methods arranged in coherent steps, which are suggested to be followed when aiming for the recognition of a production system's bottleneck. The proposed methodology is expected to be helpful in the practical TOC implementation. The presented methodology for the identification of bottlenecks in a production system is a practical tool for managers and experts dealing with TOC. However, it is still a conceptual proposal that needs to be tested empirically. The proposed methodology for bottleneck identification is an original concept based on the current literature output. It contributes to the production management theory as a practical managerial tool.

scholarly journals Discussion on the Flexible Manufacturing and Operation Strategy Model for a Machine Tool Component Company in Taiwan

2021 ◽  
Vol 14 (10) ◽  
pp. 1
Author(s):  
Jui-Lung Chen ◽  
Shih-Hsuan Yang
Keyword(s):  
Internet Of Things ◽  
Flexible Manufacturing ◽  
Manufacturing Industry ◽  
Production Management ◽  
Production Model ◽  
Smart Manufacturing ◽  
Labor Costs ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
The Impact

Recently, many manufacturing industries have been facing challenges such as rising material costs, small-volume and large-variety products, shortened production cycles, increased labor costs and longer after-sales service times, which is a very tough challenge for most small and medium-sized component manufacturing suppliers. In addition to the current hot topics in the manufacturing industry - Smart Manufacturing (Industry 4.0) and lean production management, if small and medium-sized enterprises are not able to adjust the pace of manufacturing timely and find a suitable production model, they will soon be overwhelmed by the torrent of the era of speed and accuracy. In the face of the dramatic changes in the industry structure, the company can deploy the global expansion of overseas customers in advance, and adjust to apply and implement a flexible manufacturing model system through the introduction of the Industrial Internet of Things and flexible manufacturing production management. In order to meet the market needs, the manufacturing industry is gradually oriented towards customized production and the rapid development of new products. To meet such stringent requirements, flexible manufacturing becomes one of the necessary ways for enterprises to consider their development models. Therefore, the efficiency and reliability of work can be improved through the Industrial Internet of Things that facilitates machine-to-machine communication, cloud-based big data and learning and imitations of smart robots. This study is an in-depth study of a company that is currently in the process of digital transformation, collecting relevant information and reviewing the analysis to find a suitable smart manufacturing solution for the company and to explore the impact of the COVID-19 pandemic on the strategic development of the company. The findings can provide a significant reference for homotypic companies in the development of their business strategies.

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