Assembly line balancing for two cycle times: Anticipating demand fluctuations
Jan 1, 2021·,
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0 min read
Thiago Cantos Lopes
Adalberto Sato Michels
Celso Gustavo Stall Sikora
Nadia Brauner
Leandro Magatão
Abstract
Unpredictable crises such as pandemics, as well as predictable oscillations
such as seasonality, can produce significant demand fluctuations. Although it is
possible to adapt the manufacturing system to these perturbations, there are significant
opportunities in anticipating them in the design stage. This paper proposes the
Economically Robust Assembly Line Balancing Problem (ERALBP), which addresses the
issue by designing assembly lines to allow flexible alternation between two or more
cycle times. A Mixed-Integer Linear Programming (MILP) model is introduced to describe
the problem. Moreover, a heuristic procedure is implemented in order to quickly
produce high-quality solutions. While the model failed to find solutions for most
medium and large instances, the heuristic quickly produced high-quality solutions,
reaching low solution gaps even for large instances. Finally, a case study with
industrial data further highlights the advantages of the proposed strategy: by anticipating
demand fluctuations, the proposed heuristic’s solution facilitates alternation between
two demand scenarios, both with the optimal number of stations. This approach is
less costly than the re-balancing alternative, which requires re-assigning and re-positioning
tasks. By enabling companies to perform this fast switching between output rates,
we allow them to benefit from economic opportunities tied to increased seasonal
effects or unexpected demand spikes.
Type
Publication
Computers & Industrial Engineering

Authors
Celso Gustavo Stall Sikora
(he/him)
Postdoctoral researcher
Postdoctoral researcher in Operations Research at Friedrich-Schiller-Universität Jena.
Specialist in exact optimization methods, decomposition approaches, and AI-enhanced
combinatorial optimization, with applications in urban logistics, port operations,
and assembly systems.