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Journals / Academic Platform Journal of Engineering and Smart Systems / 2022 / Cilt: 10 - Sayı: 2

A Decision Support System for Multi-Objective Porcelain Container Loading Problem Based on Genetic Algorithm

Durmuş ÖZDEMİR
Derya DELİKTAŞ
Elif GÜLER ERMUTAF
Pages
78–85
Publication Date
2022-05-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show the efficiency of the proposed decision support system, which solves the CLP with up to 12 different products in boxes of different volumes.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The multi-objective genetic algorithm approach for solving the Porcelain Container Loading Problem (PCLP) has a vital role in the global logistics industry.
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Key Findings & Data:The main contribution of the study is to present a new decision support system taking into account the objectives of the delivery time and profit rate priority of the manufacturer in the porcelain sector.
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Conclusion & Impact:The results show the efficiency of the proposed decision support system, which solves the CLP with up to 12 different products in boxes of different volumes.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Decision support system for porcelain industry · container loading problem · experimental design

Abstract

The multi-objective genetic algorithm approach for solving the Porcelain Container Loading Problem (PCLP) has a vital role in the global logistics industry. In this paper, a logistical problem with one constrained container loading problem that has to be filled with a set of boxes has been the focus. This study addresses a real-life problem that exports departments in the international porcelain industry face. Our objective is to maximize product profitability and delivery priority. Since the CLP is known as an NP-hard problem, the Genetic Algorithm (GA) approach is proposed to solve the problem based on these objective functions. The parameters of the GA affect the obtained results. We made tuning by using an experimental design in order to determine the appropriate parameters. The main contribution of the study is to present a new decision support system taking into account the objectives of the delivery time and profit rate priority of the manufacturer in the porcelain sector. Thus, loading according to the company’s priority and distribution in the shortest distance has been successfully achieved. The results show the efficiency of the proposed decision support system, which solves the CLP with up to 12 different products in boxes of different volumes.

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Cite This Article

ÖZDEMİR, D., DELİKTAŞ, D., ERMUTAF, E. G. (2022). A Decision Support System for Multi-Objective Porcelain Container Loading Problem Based on Genetic Algorithm. Academic Platform Journal of Engineering and Smart Systems, Cilt: 10 - Sayı: 2, 78–85. https://ajindex.com/articles/730587

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