Papers by Keyword: Manufacturing Complexity

Abstract: As for the typeIassembly line balancing problem in complex products, the mathematical model of optimization goal is established with its optimization goal of minimizing the number of workstations as well as minimizing the differences in assembly complex relationship, and with the introduction of the framework of cultural evolution, a multi-cultural particle swarm algorithm is presented. The algorithm used arranged code so that the particle can still be able to meet the job constraints after its been decoded; using crowded distance to sort operator and remove the extra particles, in order to ensure a uniform distribution of the Pareto front; in order to improve the efficiency of the convergence of the algorithm, we adjust the flight parameters of particle basing on the dynamic changes in crowding distance. Through the comparison of standard test problems with other algorithms, we indicate the effectiveness of the proposed algorithm.

Abstract: In an increasing competitive market where offer exceeds demand, developing customer value is nowadays a key driver of industrial activities. Reducing costs, increasing quality, deliver on time and the introduction of the right product quickly are unavoidable elements to succeed. A higher product variety for mass production and short lead-time are main features of mass customization. Flexibility arises as a productive and competitive factor to face it, of particular interest in assembly systems, which allow the postponement of final variety, integrating all former tasks of the supply chain. In this scenario, flexibility helps to face uncertainty in decision-making, while the increase of system complexity requires extra control and management efforts. Both flexibility and complexity are briefly reviewed. Next, it is introduced a joint analysis of flexibility and complexity useful for decision-making. Both are linked to the uncertainty of the possible states of the system and a quantitative approach of general application is presented. Finally, based on a model simulation, a first case application illustrates product variety increase in an assembly system and some decisionmaking trade-offs.