Generating an efficient way of dispatching perishable product optimization through exact and metaheuristic algorithm comparison

Mohammad Andad Ajiz Salam, Komarudin Komarudin, Arry Rahmawan Destyanto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Conveying product which has a limited shelf-life optimally is the concern of this study. The primary attribute of this product is perishable within a specific time frame. However, the perishable product has a critical issue in the cold chain system which leads dispatching costs inefficiency problems. Regarding this problem, a mathematical model built thru extended a vehicle routing problem, with soft time windows (VRPSTW) by considering energy consumption cost to evaluate its contribution towards the objective function. Model building conducted into computer programming that uses Python Spyder 3 for generating a feasible solution. For the sake of feasibility, a metaheuristic approach of genetic algorithms provided to find the best optimal solution; the results diagnosed that genetic algorithms can generate best feasible solution efficiently within a certain number of variables in case of perishable product delivery.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6-10
Number of pages5
ISBN (Electronic)9780769565286
DOIs
Publication statusPublished - 9 May 2019
Event3rd International Conference on Computational Intelligence and Applications, ICCIA 2018 - Hong Kong, China
Duration: 28 Jul 201830 Jul 2018

Publication series

NameProceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018

Conference

Conference3rd International Conference on Computational Intelligence and Applications, ICCIA 2018
CountryChina
CityHong Kong
Period28/07/1830/07/18

Keywords

  • Cold chain
  • Metaheuristic
  • Perishable product
  • VRPSTW genetic algorithms

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    Salam, M. A. A., Komarudin, K., & Destyanto, A. R. (2019). Generating an efficient way of dispatching perishable product optimization through exact and metaheuristic algorithm comparison. In Proceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018 (pp. 6-10). [8711509] (Proceedings - 3rd International Conference on Computational Intelligence and Applications, ICCIA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCIA.2018.00009