A Fuzzy generalized simulated annealing for a simple assembly line balancing problem

Abstract The assembly line is generally known as the last stage of the production processes. It constitutes the main production paradigm of the manufacturing industry. Thus, the performance of the assembly line problem has an important impact on the global performance of the entire production system. Among others, due to demand rate fluctuation. It’s important to quickly rebalance the assembly line and obtain an effective solution for ALB problem. For these reasons, this article proposes an adaptive generalized simulated annealing using fuzzy inference system to solve simple assembly line balancing problem of type I (SALBP-I). The objective of the problem is to minimize the number of stations for a predefined cycle time of workstations in an existing assembly line. Moreover, the performance of our approach is analyzed using a well-known data set of the SALBP-I.