Influence of selected digitization methods on final accuracy of 3D model

Manufacturing companies are now placing great emphasis on competitiveness and looking for ways to utilise their resources more efficiently. This paper presents optimum efficiency improvement of the automotive transmission assembly production line by using line balancing. 3 assembly stations were selected to optimize where waste management requirements are not met for achieving the production capacity. Several measures were proposed on the assembly lines concerned to reduce operations by using eliminating unnecessary activities of the assembly processes, reducing the cycle time, and balancing manpower workload using line balancing through Yamazumi chart and Takt time. The results of the proposed measures were compared with the current situation in terms of increasing the efficiency of the production line.

“…The best way is to make a video from which you can accurately read the assembly steps times. From the video the information can be processed and a bar graph created [9].…”

Section: Methodsmentioning

confidence: 99%

Optimization of Production Processes Using the Yamazumi Method

Sabadka¹,

Molnár²,

Fedorko³

et al. 2017

“…The CAD system with support for 3D modeling was used to create the design, namely the Catia V5 program with Part design modules, Assembly design, and Drafting. The creation of 3D models of universal pallets was based on the requirements and dimensions of the individual shafts [15,16,17]. Fig.…”

Section: The Starting Conditions For the Solution Design Of The Univmentioning

confidence: 99%

The Use of Lean Manufacturing Techniques – SMED Analysis to Optimization of the Production Process

Sabadka¹,

Molnár²,

Fedorko³

2017

Lean is a culture of real and continuous optimization. As a concept of continuous optimization in the midst of limited resources, it must be practiced continuously as a long-term organizational norm. This paper revels why changeover time reduction is important in manufacturing industries and from the various tools and techniques available within Lean manufacturing describes mainly SMED (Single Minute Exchange of Dies) for changeover time reduction and its application in Shaft manufacturing industry. This paper also describes principles, benefits, procedures and practical application of SMED. Theoretical bases are verified in a practical part that describes the analysis and design optimization of non-productive time at changeover honing machine in a selected shaft manufacturing company. The output is the structural design of universal palettes and an evaluation of productivity due to optimization of operations of time honing gear shafts. The results achieved show considerable reduction in delay arising out of machine setting time, batch-setting time and demonstration delay.

“…The problem of creating simulation models and realization of simulation experiments in the area of enterprise logistics has its own specifics [13,14]. In the beginnings of using the simulation method in logistics processes, the first problems have already begun, especially when operating simulation programs [15,16].…”

Section: Problems Associated With Creating Simulation Models In Entermentioning

confidence: 99%

Possibilities of More Efficient Use of Simulation Tools in Enterprise Logistics

Hegedüš

Fedorko

Beluško

et al. 2017

Computer simulation, as a powerful scientific and engineering tool, is increasingly used to solve a wide range of issues within the enterprise logistics processes. This trend is mainly due to the fact that the computer simulation method offers a whole range of benefits for enterprise logistics e.g. saving time, space and finance. The use of computer simulation in logistics, however, still has certain limitations that handicap it and do not allow it to be more operationally exploited. The main reason is that the creation of models of different logistics processes is exacting on the skills and knowledge in this area. The factors as the difficulty of creating new and modifying existing models or repeating simulation experiments complicate the more frequent application of computer simulation models in logistics. For this reason, it is necessary to look for a way to simplify and make the issue available to a larger circle of users.