Journals / Journal of Innovative Science and Engineering / 2017 / Cilt: 1 - Sayı: 1

Developing GIS based Decision Support System for Planning Transportation of Forest Products

Pages
6–16
Publication Date
2017-12-26
DOI
—
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AI Summary & Key Takeaways

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

The results indicated that the total transportation cost was 88424 TL in the first scenario, while it was dropped to 88161 TL in the second scenario.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Transportation of forest products is a complex problem that requires evaluation of many alternative routes.
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Key Findings & Data:The s tudy area was imple mented in Mus tafakema lpaş a Fores t Enterpr is e Directorate ( FED) located in the c ity of Burs a.
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Conclusion & Impact:The results indicated that the total transportation cost was 88424 TL in the first scenario, while it was dropped to 88161 TL in the second scenario.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Forest transportation · GIS · Network analysis

Abstract

Transportation of forest products is a complex problem that requires evaluation of many alternative routes. This indicates the necessity of using computer-assisted methods in planning transportation of forest products and systematically searching for the optimum route. In this study, Geographical Informat ion System (GIS) based decision support system was used to decide the optimum route which minimizes the transportation cost o f various fores t products (i.e. logs , indus trial wood, paper, mine pole). The s tudy area was imple mented in Mus tafakema lpaş a Fores t Enterpr is e Directorate ( FED) located in the c ity of Burs a. There were three Fores t Enterpris e Ch iefs ( Paş alar, Sarnıç, Tu rfa l) and five fores t depots in the study area. Three depots were in Paş alar Fo res t Enterpris e Chie f (FEC), while the other FECs had one depot each. The optimum routes, providing the most economic transportation from temporary t imber bunching areas (total of 41 areas) at the forest to forest depots, were determined by using Network Analyst extension of ArGIS 10.2 program. Also, the road sections located in inaccessible areas under landslide risk were disregarded during network analysis for safety purposes. In the solution process, two scenarios were applied: 1) the forest products extracted from a FEC were only transported to the depot(s) of that FEC, and 2) the forest products extracted from any FEC were transported to any of the depots in the study area. The results indicated that the total transportation cost was 88424 TL in the first scenario, while it was dropped to 88161 TL in the second scenario. It was found that transportation cost was relat ively low in the FECs with more than one forest depots. The oth er important factor that affects the cost was the distance between temporary timber bunching areas and forest depots.

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Cite This Article

AKAY, A. E., SÜSLÜ, H. E. (2017). Developing GIS based Decision Support System for Planning Transportation of Forest Products. Journal of Innovative Science and Engineering, Cilt: 1 - Sayı: 1, 6–16. https://ajindex.com/articles/882088

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