Selective assembly is a technique whereby components are smartly matched depending on
their measured feature values. Although it can reduce scrap by allowing more relaxed …

In this paper, a discrete particle swarm optimization (PSO) algorithm called DPSO is
proposed to solve the two-stage assembly scheduling problem with respect to bicriteria of …

In case of assemblies requiring a close fit, strict tolerances must be specified resulting in
high manufacturing costs. In such cases, selective assembly may be adopted as a cheaper …

To solve the simple assembly line balancing problems of type 1 (SALBP-1), almost all of
particle swarm algorithms (PSAs) for SALBP-1 adopt task sequence-oriented solution …

High-technological products often consist of several components, each with varying feature
values that are critical to the assembly's quality. As traditional manufacturing involves …

Selective assembly method has progressed significantly for the past few years to become a
valuable tool for improving quality in product assembly process where the required …

Stochasticity in assembly processes is often associated with the processing time and
availability of machinery, tools and manpower, however in this paper it is determined by …

Purpose The purpose of this paper is to apply firework optimization algorithm to optimize
multi-matching selective assembly problem with non-normal dimensional distribution …

In this paper, we focus on ways to optimize the manufacturing of products whereby the final
product performance is measured by the aggregated performances of its components …

In Industry 4.0, data are sensed and merged to drive intelligent systems. This research
focuses on the optimization of selective assembly of complex mechanical products (CMPs) …