Hybrid Metaheuristic for the Assembly Line Worker Assignment and Balancing Problem

The Assembly Line Worker Assignment and Balancing Problem (ALWABP) appears in real assembly lines which we have to assign given tasks to workers where there are some task-worker incompatibilities and considering that the operation time for each task is different depending upon who executes the task. This problem is typical for Sheltered Work Centers for the Disabled and it is well known to be NP-Hard. In this paper, the hybrid method Clustering Search (CS) is implemented to solve the ALWABP. The CS identifies promising regions of the search space by generating solutions with a metaheuristic, such as Iterated Local Search, and clustering them into clusters that are then explored further with local search heuristics. Computational results considering instances available in the literature are presented to demonstrate the efficacy of the CS.

[1]  Luiz Antonio Nogueira Lorena,et al.  Hybrid Metaheuristic for the Prize Collecting Travelling Salesman Problem , 2008, EvoCOP.

[2]  Armin Scholl,et al.  Data of assembly line balancing problems , 1995 .

[3]  M. Kilbridge,et al.  The Balance Delay Problem , 1961 .

[4]  W. Wilhelm,et al.  A family of hierarchical models for the design of deterministic assembly systems , 1997 .

[5]  Pierre Hansen,et al.  Variable Neighborhood Search , 2018, Handbook of Heuristics.

[6]  Alysson M. Costa,et al.  Job rotation in assembly lines employing disabled workers , 2009 .

[7]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[8]  Ilker Baybars,et al.  A survey of exact algorithms for the simple assembly line balancing , 1986 .

[9]  Carlos Andrés,et al.  Branch and bound procedures for solving the Assembly Line Worker Assignment and Balancing Problem: Application to Sheltered Work centres for Disabled , 2008, Discret. Appl. Math..

[10]  G. Thomas Bellamy,et al.  Vocational Habilitation of Severely Retarded Adults: A Direct Service Technology , 1979 .

[11]  Jens Gottlieb,et al.  Evolutionary Computation in Combinatorial Optimization , 2006, Lecture Notes in Computer Science.

[12]  Luiz Antonio Nogueira Lorena,et al.  Clustering Search Heuristic for the Capacitated p -Median Problem , 2008, Innovations in Hybrid Intelligent Systems.

[13]  Marcelo Seido Nagano,et al.  Evolutionary Clustering Search for Flowtime Minimization in Permutation Flow Shop , 2007, Hybrid Metaheuristics.

[14]  F. Glover,et al.  Handbook of Metaheuristics , 2019, International Series in Operations Research & Management Science.

[15]  Carlos Andrés,et al.  Advantages of assembly lines in Sheltered Work Centres for Disabled. A case study , 2007 .

[16]  Helena Ramalhinho Dias Lourenço,et al.  Iterated Local Search , 2001, Handbook of Metaheuristics.

[17]  Christian Blum,et al.  Hybrid Metaheuristics , 2010, Artificial Intelligence: Foundations, Theory, and Algorithms.

[18]  Jeffery L. Kennington,et al.  Interfaces in Computer Science and Operations Research , 1997 .

[19]  Alexandre César Muniz de Oliveira,et al.  Hybrid Evolutionary Algorithms and Clustering Search , 2007 .