In this article, we introduce two new variants of the assembly line worker assignment and balancing problem that allow parallelization of and collaboration between heterogeneous workers. These new line balancing approaches introduce an additional level of flexibility in the assignment and planning process, which may be particularly useful in practical situations where the aim is to progressively integrate slow or limited workers in conventional assembly lines. We present linear models and heuristic procedures for these two new problems. Computational results show the efficiency of the proposed approaches and the efficacy of the studied layouts in different situations.
In this paper we study an assembly line balancing problem that occurs in sheltered worker centers for the disabled, where workers with very different characteristics are present. We are interested in the situation in which complete parallel assembly lines are allowed and name the resulting problem as parallel assembly line worker assignment and balancing problem (PALWABP). This approach enables many new possible worker-tasks assignments, what is beneficial in terms of both labour integration and productivity. We present a linear mixed-integer formulation and two heuristic solution methods: one is based on tabu search and the other is a biased random-key genetic algorithm (BRKGA). Computational results with a large set of instances recently proposed in the literature show the advantages of allowing such alternative line layouts.
The assembly line and worker assignment balancing problem is an extension of the classical simple assembly line balancing problem where task execution times are workerdependent. This problem is motivated by the situation faced when balancing assembly lines with disabled workers. In this study, we focus on an extension for the problem with the goal of including the possibility of having layouts with parallel workstations. We also study a second variation for this problem that allows workers collaborating with each other. We present mathematical formulations for both problems. Moreover, constructive heuristics are developed, based on heuristic methods for the serial assembly line worker assignment and balancing problem. Computational tests on literature instances and a detailed analysis of the results are reported.
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