this research presents a new application of the cloud theory-based simulated annealing algorithm to solve mixed model assembly line sequencing problems where line stoppage cost is expected to be optimized. this objective is highly significant in mixed model assembly line sequencing problems based on just-in-time production system. moreover, this type of problem is np-hard and solving this probl...

Bottled-beverage production systems require considerable machinery and sophisticated control systems. A malfunction in the system can result machine stoppages, thereby decreasing productivity resulting output not meeting required target. Therefore, problem of frequent stoppages must be resolved. The ‘Fast Restart Function’ is a proposed feature that help reduce downtime by time for product to d...

A component stockout during the assembly process is one of the most undesirable events that can occur since the resulting line stoppage is associated with extremely high costs. In this paper we address the problem of allocating space to components along the line, subject to practical constraints. The objective is to maximize the line fill-rate; namely, the probability of no line stoppages due t...

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 ...

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 ...

This research presents a new application of the cloud theory-based simulated annealing algorithm to solve mixed model assembly line sequencing problems where line stoppage cost is expected to be optimized. This objective is highly significant in mixed model assembly line sequencing problems based on just-in-time production system. Moreover, this type of problem is NP-hard and solving this probl...

In this paper we examine the various effects that workstations and repair loops with identical parallel processors and stochastic processing times have on the performance of a mixed-model assembly line. Of particular interest are issues related to sequence scrambling. In many production systems (especially those operating on just-in-time or in-line vehicle sequencing principles), the sequence o...