We present a GRASP algorithm to solve a problem that involves the sequencing of mixed products in an assembly line. The objective of the problem is to obtain a manufacturing sequence of models that generates a minimum work overload with a forced interruption of operations, which is regular in production, and in which, the production mix maintains the Quota property in the whole sequence. The implemented GRASP is compared with other procedures using instances of a case study of the Nissan engine manufacturing plant in Barcelona.

This is a post-peer-review, pre-copyedit version of an article published in Progress in Artificial Intelligence . The final authenticated version is available online at: http://dx.doi.org/10.1007/s13748-018-0144-x