This paper presents a multi-objective simulated annealing algorithm for the mixed-model assembly line balancing with stochastic processing times. Since, the stochastic task times may have effects on the bottlenecks of a system, maximizing the weighted line efficiency (equivalent to the minimizing the number of station), minimizing the weighted smoothness index and maximizing the system reliabil...

This paper presents a nonlinear mixed-integer programming model to minimize the stoppage cost of mixed-model assembly lines. Nowadays, most manufacturing firms employ this type of line due to the increasing varieties of products in their attempts to quickly respond to diversified customer demands. Advancement of new technologies, competitiveness, diversification of products, and large customer ...

Abstract The car of the future will be driven by software and offer a variety customisation options. Enabling these options forces modern automotive manufacturers to update their standardised scheduling concepts for testing commissioning cars. A flexible concept means that every chosen customer configuration code must have its own procedure. This is essential provide individual workflows where ...

In this paper we present recent experimental results using a novel parallel manipulator operating under Natural Admittance Control performing difficult mechanical assemblies. The example assemblies are components from an automotive automatic transmission. Success depends on appropriate force responsiveness, rather than precise position control. The robotic assemblies are shown to be gentler tha...

In large-scale manufacturing and assembly applications, especially when trying to automate most steps, implementing quality control as early in the process possible is key prevent expenses later. We deal mainly with production of DC motor powered fuel pumps, which are commonly used automotive industry. The goal this paper present a newly developed technique for non-invasive fault detection moto...