Methods for Implementing Compensation Strategies in Micro Production Systems Supported by a Simulation Approach

Abstract

Abstract. Customers demands for highest product quality and lowest product costs and the use of rapidly changing technologies are the challenges for industrial companies. To cope with these challenges production processes need to be more effective. This also applies to the production of innovative micro products. However, the micro production has so far not adopted the advantages of established organization and quality strategies in production systems. Therefore, this article proposes three compensations methods which integrate quality strategies into a micro production system (MPS) with respect to the special needs of producing micro products. The aim is to balance quality errors against each other throughout the production process. This is illustrated by the example of micro assembly. This example uses a simulation approach to show the integration of the afore mentioned compensation methods in combination with a quality strategy. It allows a dynamic view of the effect of balancing errors during the whole production process.

Design and management of manufacturing systems for production quality

“…Process adaptation means that the nominal value of the key quality characteristics of the component produced with the more capable production process can be adjusted according to pre-defined states of the system, in order to increase the component matching. Recently, simulation and analytical methods have been used for predicting the impact of specific adaptation policies on the production quality performance [174]. An attempt to apply selective assembly to address the part gap control problem in automotive remote laser welding applications is done in the EU project RLW Navigator [228].…”

Optimization of selective assembly and adaptive manufacturing by means of cyber-physical system based matching

“…In today's high-tech industries such as micro [1] or automotive production (e.g. of crankshafts, pistons or electric drive rotors) [2][3][4], the requirements to the product quality in more and more cases approach the technological limits of the potential manufacturing processes.…”

Modelling and Optimization for a Selective Assembly Process of Parts with Non-Normal Distribution

“…The objective criterion of the proposed model is to maximise the assembly acceptance rate, i.e., to improve the proportion of the quantity of assembled products that meet the assembly precision requirement. Considering the effects of two factors: (1) the difference on the number of parts in three matching groups, (2) the overlap between the assembly tolerance variation and the required assembly tolerance range, the calculation process for assembly acceptance rate of the i th combination in the j th chromosome includes the following two procedures:…”

“…Thus, this method allows either to increase the final product quality or to decrease the production cost to satisfy the customer's requirement. With the rapid development of high-end computers and advanced measurement technologies in the past decade years, selective assembly technology has been commonly applied in many industries, especially in high precision manufacturing sectors such as micro-production [2], hard disk drives [3], batteries assembly [4], battery electrodes [5], and in the automotive body assembly [6].…”