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Heuristic comparative assessment of non-conventional warehouse designs

Esmero Antonio T., Branzuela Queenie Rose S., Paypa Jessilyn T., Rojo Sharmaine Myka S., Sacay Jr. Eduardo S., Selerio Jr. Egberto F., Ocampo Lanndon

Engineering Management in Production and Services

2021

Vol. 13, no. 1

89--103

In the unit-load warehouse (UW) design, the aisle design problem dealing with storage space layout is the first among the three main problems. Several conventional and non-conventional designs have been proposed in the literature. In general, the assessment of UW designs is commonly carried out using analytical approaches. However, such an approach may be inadequate due to assumptions or approximations, making results unrealistic. Aiming to bridge this gap, this research develops an assessment framework that employs the FlexSim software for simulating the conventional, Flying-V and Fishbone designs based on a real case from a Philippine manufacturing company. Using a computer simulation, this research investigates factors not yet tractable with present analytical methods. The factors employed for the comparative assessment are “picking run-time”, “travel distance”, and “capacity”. The results suggest that the Fishbone design provides the most advantage compared to the Flying-V and other conventional designs. With the proposed Fishbone design, the company is expected to save, on average, 52.39% of picking run-time, 32.25% travel distance, and increase storage capacity by 7.5%. The research findings are compared to previous studies based on analytical approaches.

Utilisation of Evolution Algorithm in Production Layout Design

Krajčovič M., Grznár P.

Applied Computer Science

2017

Vol. 13, no 3

5--18

The need for flexibility of layout planning puts higher requirements for uti-lisation of layout and location problem solving methods. Classical methods, like linear programming, dynamic programming or conventional heuristics are being replaced by advanced evolutionary algorithms, which give better solutions to large-scale problems. One of these methods are also genetic algorithms. This article describes the genetic algorithm utilisation in the production layout planningunder the terms of the digital factory concept.