Integrated Eco-Design Tool for Malaysian Automobile Industry

2010 ◽  
Vol 14 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Julirose Gonzales ◽  
◽  
Novita Sakundarini ◽  
Raja Ariffin ◽  
Zahari bin Taha
Keyword(s):  
Automobile Industry ◽  
Manufacturing Process ◽  
Evaluation Methods ◽  
Life Cycles ◽  
Design Methods ◽  
Design Tool ◽  
Design Framework ◽  
Manufacturing Companies ◽  
Automobile Design ◽  
Limited Role

Today’s manufacturing companies are burdened with the pressures of managing their products throughout its life cycles and ensure that their products have minimum impact in the environment through Eco-design methods. This paper looks into the different Product Eco-evaluation methods in terms of Material Recyclability, Manufacturing Process and Disassemblability used for Eco-design, especially in the automobile industry. From these methods, the authors propose an Eco-Design framework suited for Malaysian local automobile SMEs given their limited role in Automobile design.

Knowledge Management for Manufacturing Process Based on Knowledge Lifecycle to Enhance Data Sharing (Perception: Application and Benefits)

2013 ◽  
Vol 391 ◽  
pp. 366-371
Author(s):  
Yohannes Kurniawan
Keyword(s):  
Knowledge Management ◽  
Data Sharing ◽  
Manufacturing Process ◽  
Manufacturing Industry ◽  
Management Practice ◽  
Operation Mode ◽  
Life Cycles ◽  
Manufacturing Companies ◽  
Oil Companies ◽  
Knowledge Lifecycle

The importance of effective knowledge management is well recognized in a number of manufacturing companies. There is still, however, a clear need to further reinforce applications of knowledge management tools by effectively solving fundamental and specific problems related to knowledge management practice in manufacturing industry. The paper presents the concept specifically for the business case at the palm oil companies, where the tools are used to transfer the knowledge over different life cycles of the production process to enhance data sharing. This paper put forward a knowledge management operation mode for manufacturing process based on knowledge lifecycle, and research the operation mode from the points of the knowledge acquisition stage, knowledge sharing stage, and knowledge utilization stage. This paper gives a value to manufacturing companies to develop initiatives to share knowledge to achieve business objectives.

scholarly journals Inspection planning by defect prediction models and inspection strategy maps

2021 ◽  
Author(s):  
Elisa Verna ◽  
Gianfranco Genta ◽  
Maurizio Galetto ◽  
Fiorenzo Franceschini
Keyword(s):  
Probabilistic Models ◽  
Prediction Models ◽  
Design Tool ◽  
General Interest ◽  
Manufacturing Processes ◽  
Analysis Tool ◽  
Manufacturing Companies ◽  
Inspection Planning ◽  
Inspection Strategy ◽  
Defect Prediction Models

AbstractDesigning appropriate quality-inspections in manufacturing processes has always been a challenge to maintain competitiveness in the market. Recent studies have been focused on the design of appropriate in-process inspection strategies for assembly processes based on probabilistic models. Despite this general interest, a practical tool allowing for the assessment of the adequacy of alternative inspection strategies is still lacking. This paper proposes a general framework to assess the effectiveness and cost of inspection strategies. In detail, defect probabilities obtained by prediction models and inspection variables are combined to define a pair of indicators for developing an inspection strategy map. Such a map acts as an analysis tool, enabling positioning assessment and benchmarking of the strategies adopted by manufacturing companies, but also as a design tool to achieve the desired targets. The approach can assist designers of manufacturing processes, and particularly low-volume productions, in the early stages of inspection planning.

Continuous Recycling of Vulcanisates

2001 ◽  
Vol 28 (6) ◽  
pp. 5-11 ◽  
Author(s):  
K. Fukumori ◽  
M. Mouri ◽  
N. Sato ◽  
H. Okamoto ◽  
M. Matsushita
Keyword(s):  
Shear Stress ◽  
Internal Stress ◽  
Automobile Industry ◽  
Manufacturing Process ◽  
Recycling Process ◽  
Epdm Rubber ◽  
Rubber Waste ◽  
Controlled Conditions ◽  
New Process

Vulcanised EPDM rubber waste produced during the manufacturing process is devulcanised using a screw granulator under controlled conditions of shear stress, temperature and internal stress. During this recycling process, carbon-sulphur bonds are broken selectively so that a devulcanised rubber consisting of a sol component and a gel component is obtained which can be processed like new rubber and re-vulcanised with an accelerated sulphur curing system. The revulcanisates exhibit nearly the same properties as cured new rubber. EPDM rubber which has been devulcanised using the new process is used for the production of rubber products for the automobile industry.

scholarly journals A Similarity-Based Hierarchical Clustering Method for Manufacturing Process Models

2019 ◽  
Vol 11 (9) ◽  
pp. 2560
Author(s):  
Hyun Ahn ◽  
Tai-Woo Chang
Keyword(s):  
Hierarchical Clustering ◽  
Operations Management ◽  
Manufacturing Process ◽  
Manufacturing Industry ◽  
Clustering Algorithm ◽  
Process Models ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Agglomerative Clustering ◽  
Clustering Method

As the adoption of information technologies increases in the manufacturing industry, manufacturing companies should efficiently manage their data and manufacturing processes in order to enhance their manufacturing competency. Because smart factories acquire processing data from connected machines, the business process management (BPM) approach can enrich the capability of manufacturing operations management. Manufacturing companies could benefit from the well-defined methodologies and process-centric engineering practices of this BPM approach for optimizing their manufacturing processes. Based on the approach, this paper proposes a similarity-based hierarchical clustering method for manufacturing processes. To this end, first we describe process modeling based on the BPM-compliant standard so that the manufacturing processes can be controlled by BPM systems. Second, we present similarity measures for manufacturing process models that serve as a criterion for the hierarchical clustering. Then, we formulate the hierarchical clustering problem and describe an agglomerative clustering algorithm using the measured similarities. Our contribution is considered on the assumption that a manufacturing company adopts the BPM approach and it operates various manufacturing processes. We expect that our method enables manufacturing companies to design and manage a vast amount of manufacturing processes at a coarser level, and it also can be applied to various process (re)engineering problems.

An Investigation of Lean Implementation Status in Thai Manufacturing

2011 ◽  
Vol 110-116 ◽  
pp. 4050-4056
Author(s):  
Jiraporn Pradabwong ◽  
Nantawut Sriariyawat ◽  
Chivalai Temiyasathit
Keyword(s):  
Performance Measures ◽  
Cultural Change ◽  
Manufacturing Process ◽  
Lean Manufacturing ◽  
Manufacturing Cost ◽  
Manufacturing Companies ◽  
Lean Implementation ◽  
Industrial Companies ◽  
Important Barrier ◽  
Tools And Techniques

Lean Manufacturing has been widely adopted in various business and industries worldwide. To determine the current stage of Lean implementation in Thailand and the barrier Lean implementation, the qualitative research involving interview with 10 industrial companies practicing Lean manufacturing was conducted. The result from this study shows that most Lean practitioners understand the principal of Lean manufacturing. Different organization functions adopt different types of Lean tools and techniques as well as the performance measures depending on their business characteristics. However, there are three performance measures, which are manufacturing cost per unit, total sales and part per million (PPM) in defective products shipped to customers, that were adopted by all 10 companies. The most important barrier in Lean implementation is the cultural change since it requires the entire company participation. Finally, the companies participated in this study confirmed that they are satisfy with the result of Lean manufacturing though some companies have not completely adopted the Lean approach into their manufacturing process. To excellent the Lean manufacturing, companies are required to satisfy customer needs, improve the manufacturing process, and increase their flexibility. Furthermore, it is necessary for the top management to provide a clear policies as well as plan and direction. If Lean implementation is to be successful, the communication and human resource department are also the main keys.

scholarly journals Value Stream Mapping of Rope Manufacturing: A Case Study

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Korakot Yuvamitra ◽  
Jim Lee ◽  
Kanjicai Dong
Keyword(s):  
Process Improvement ◽  
Manufacturing Process ◽  
Continuous Process ◽  
Successful Outcome ◽  
Value Stream Mapping ◽  
Manufacturing Companies ◽  
Market Place ◽  
Continuous Process Improvement ◽  
Value Stream

In today’s competitive market place, manufacturing companies must apply continuous process improvement in order to maintain a returning customer base. One way of achieving constant process improvement is through value stream mapping. Value stream mapping is used to visualize the current processes for easier understanding and problem identification. A well-defined problem statement will ensure a successful outcome of a project improvement process. This research provides a case study performed on a rope manufacturing process. A current state value stream map is created, and the possible improvements are suggested. The implemented results are shown in the form of future state map. The results show that, after waste elimination and structural revision, a manufacturing process becomes more efficient, enabling the customer to receive an order significantly faster.

Rapid Design Platform of Gear Box Based on Modern Design Methods of Pro/E

2013 ◽  
Vol 442 ◽  
pp. 571-576
Author(s):  
Quan Yong Ju ◽  
Xiao Hui Li ◽  
Jun Mao
Keyword(s):  
Simulation Analysis ◽  
Parametric Modeling ◽  
Design Methods ◽  
Manufacturing Companies ◽  
Modeling Tools ◽  
Modern Design ◽  
Rapid Design ◽  
Building Process ◽  
Parts Library ◽  
Gear Box

It is studied that Modern Design Methods based on Pro/Engineer software. The building process of rapid design platform of gear box is given systematically by applying top-down design techniques of data sharing mode, parametric modeling tools of standard parts, interchangeable parts library and kinematic simulation analysis methods. The solid modeling and simulation analysis of gear box is completed. The rapid design platform can provide technical support for manufacturing companies to adapt to quick changes of market and to research and develop series products efficiently.

A research on the cluster competitiveness evaluation of the Chinese automobile industry based on cuckoo-AHP

2016 ◽  
Vol 10 (4) ◽  
pp. 746-769 ◽  
Author(s):  
Xiujie Wang ◽  
Jian Liu ◽  
Can Ma
Keyword(s):  
Automobile Industry ◽  
Evaluation Method ◽  
Industrial Cluster ◽  
Cuckoo Search ◽  
Evaluation Methods ◽  
Industrial Clusters ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Content Type ◽  
Cluster Development

Purpose The purpose of this study is that on the basis of the competitive edge theory, source mechanism and evaluation approaches of industrial cluster competitiveness, combined with international trends in the automobile industry and the features of Chinese automobile industrial cluster development, an evaluation index system about cluster competitiveness of auto industry is built with comprehensive consideration of factors such as cluster development environment, external scale effect and internal competitiveness from the perspective of value chain of automobile industry. Design/methodology/approach An evaluation index system for automobile industrial cluster competitiveness was realized by integrating current strengths and future growth capacities with multidimensional, dynamic and comprehensive characteristics, which included 3 second-level, 10 third-level and 16 fourth-level indices. In the light of evaluation methods, a group intelligence optimization algorithm – (cuckoo search) – and traditional methods of complex decision-making system – analytic hierarchy process (AHP) – were combined to propose the cuckoo-AHP evaluation method. It was applied for the calculation and optimization of weight values in an automobile industrial cluster competitiveness evaluation index for the purpose of obtaining better scientific and more reliable results. Findings The research might further enrich the evaluation theory of automobile industrial cluster competitiveness and also can be useful for showing how traditional evaluation methods can be combined with intelligent algorithms to carry out better automobile industrial cluster competitiveness evaluations. In addition, studies of channels for kick-starting Chinese auto industrial cluster competitiveness are expected to provide references for how to enhance the cluster competitiveness of the Chinese automobile industry. Practical implications Changsha and Liuzhou, the Guangxi automobile industrial clusters as the two empirical analysis objects selected for this paper, are geographically adjacent to each other. The automobile industries of the two cities are local pillar industries with the strong support of the local government. Both clusters have their own advantages and weak points with different characteristics of cluster development, and they enjoy a representative significance amongst China’s numerous auto industrial clusters that are taking shape. Comparative analysis of both clusters serves as a good reference for the objective evaluation of the competitiveness of Chinese automobile clusters in terms of their real and practical developments and in respect of the success of reasonable scientific and industrial cluster policies. Originality/value Multidimensional, dynamic, integrated evaluation index systems are constructed around automobile industrial cluster competitiveness, which has taken into account developments in current strengths and future growth capacity. The cuckoo-AHP evaluation method has been formed by combining the traditional decision-making method known as AHP with a new meta-heuristic optimization algorithm called “cuckoo search”. Both have been used in evaluations of automobile industrial cluster competitiveness in Liuzhou and Changsha, which will be beneficial for enriching automobile industrial cluster competitiveness evaluation theory and new evaluation methods that will enable better evaluations of automobile industrial cluster competitiveness.

scholarly journals Effect of Different Manufacturing Process Steps on the Final Residual Stress Depth Profile along the Process Chain of Autofrettaged Thick-Walled-Cylinders

2014 ◽  
Vol 996 ◽  
pp. 676-681 ◽  
Author(s):  
Horst Brünnet ◽  
Michael Hofmann ◽  
Nataliya Lyubenova ◽  
Dirk Bähre
Keyword(s):  
Residual Stress ◽  
Depth Profile ◽  
Manufacturing Process ◽  
Compressive Residual Stress ◽  
Design Tool ◽  
Process Chain ◽  
Technical Process ◽  
Depth Profiles ◽  
The Impact ◽  
Compressive Residual Stresses

Selectively induced compressive residual stress depth profiles are gaining increasing importance as design tool for internally pressurized components. Hydraulic Autofrettage (AF) is a well-known manufacturing process to induce pronounced compressive residual stresses. However, AF does not stand alone in the technical process chain. In this paper, results from neutron diffraction experiments performed on thick-walled cylinders are presented and compared to finite-element simulations with Abaqus/CAE. The impact on the final residual stress depth profile after pre-machining, Autofrettage and post-machining is discussed.

Study on Use of Information Technologies in Manufacturing Processes

2015 ◽  
Vol 795 ◽  
pp. 220-226
Author(s):  
Joanna Tabor
Keyword(s):  
Information Technology ◽  
Manufacturing Process ◽  
Information Technologies ◽  
Manufacturing Processes ◽  
Manufacturing Companies ◽  
Process Automation ◽  
Work Safety ◽  
Industrial Processing ◽  
Average Value ◽  
Level Of Use

This paper contains analysis and assessment of use of information technologies in manufacturing processes performed over the years 2010-2013 by manufacturing companies that employ at least 10 employees. Although companies use many different information technology automation devices and tools, this paper is only focused upon manufacturing process automation devices, since these automation devices exert a significant impact upon improvement of work safety levels. As a result of this study, industrial processing sector’s divisions were identified with the highest level of use of determined automation devices in relation to the adopted average value for the industrial processing sector as a whole, and directions of changes were identified in the area of use of the particular automation devices in the analysed groups of manufacturing companies being active in Poland.

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