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Journals / Journal of Optimization and Decision Making(JODM) / 2022 / Cilt: 1 Sayı: 2

Route Optimization for Delivery at The Bedding Manufacturing Plant

Ahu Ceren TÜRKER
Aze Banu KOCA
Büşra DEĞİRMENCİ
Metehan GEÇMEN
Ezgi AKTAŞ POTUR
Mehmet KABAK
Pages
78–99
Publication Date
2022-12-31
DOI
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AI Summary & Key Takeaways

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

Thus, logistics costs and carbon footprint of İşbir Yatak Company were reduced by using the savings algorithm.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the logistics activities of İşbir Yatak company, which is one of the leading companies in the sponge and mattress sector in Turkey, adopting Green Supply Chain Management were examined and a literature review was made for the study.
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Key Findings & Data:Considering the capacity, the number of vehicles needed was determined as 3.
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Conclusion & Impact:Thus, logistics costs and carbon footprint of İşbir Yatak Company were reduced by using the savings algorithm.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Carbon Footprint · Green Supply Chain Management · Savings Algorithm

Abstract

In this study, the logistics activities of İşbir Yatak company, which is one of the leading companies in the sponge and mattress sector in Turkey, adopting Green Supply Chain Management were examined and a literature review was made for the study. Considering the distribution points of the company in Ankara, a mathematical model is established by choosing the most appropriate solution method to improve daily distribution processes. As a result of the research conducted in this study, which only considers the delivery activities of the company, it was decided that the Clarke and Wright Savings Algorithm would be suitable for the study. The algorithm was run with support from the Python library. Thanks to the saving algorithm, the most suitable route has been determined. As a result of the aforementioned vehicle routing problem, it is aimed to minimize the damage that the company will cause to the environment within the scope of Green Logistics. In this study, the maximum number of points that a vehicle can deliver during the day has been determined. Considering the capacity, the number of vehicles needed was determined as 3. Thus, logistics costs and carbon footprint of İşbir Yatak Company were reduced by using the savings algorithm.

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Cite This Article

TÜRKER, A. C., KOCA, A. B., DEĞİRMENCİ, B., GEÇMEN, M., POTUR, E. A., KABAK, M. (2022). Route Optimization for Delivery at The Bedding Manufacturing Plant. Journal of Optimization and Decision Making(JODM), Cilt: 1 Sayı: 2, 78–99. https://ajindex.com/articles/977443

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