An Analysis of Locating Agricultural Logistics Center in Isfahan Province Using the Logistics Network Costs Minimization Approach in GIS Environment

Document Type : Research Article

Authors

• A. Jalaei
• N. Akbari
• B. Safari

Urban and Regional Economics, University of Isfahan, Isfahan, Iran

https://doi.org/10.22067/jead.2021.17797.0

Abstract

Introduction: Annually, large quantities of agricultural products are wasted and a lot of damage is done to the country's financial and food resources. The most important causes of this waste are related to the various sectors of transportation, packaging, storage, processing and distribution of agricultural products. One significant tool to increase in supply chain productivity and reduce logistics costs of the agricultural sector is to establish agricultural logistics centers. The current study seeks to identify a suitable area for the construction of an agricultural logistics center in Isfahan province. In this regard, criteria affecting the selection of locations for logistics centers (compensatory and non-compensatory) were first identified and then the process of locating was implemented in two separate phases. In the first phase, in order to identify potential site options for a logistics center within the province, geographical boundaries associated with non-compensatory criteria were excluded from the study. In the second phase, according to the mathematical model presented, the cost of establishing a logistics center was calculated in possible sites in terms of compensatory criteria and then relevant geographic data layers were developed and, at the end, all data layers were integrated.
Materials and Methods: This paper, first, studies the experimental literature in the field of successful logistics centers across the world as to identify criteria affecting the location of agricultural logistics centers in terms of non-compensatory grammatical (geological and environmental factors) and compensatory (measurable factors with quantitative values) criteria. Next, the process of locating is implemented during two stage. In the first stage, in order to identify possible sites for Logistics Park within the province, geographic data layers associated with non-compensatory criteria are gathered and the respective boundaries are excluded from the study. Note that in order to unify mapping units being studied with respect to 1: 2500000 scale map of analytical maps used, the province is divided into 4510 separate blocks of 25 Km². For the second stage, based on the general framework of logistics activities, the spatial analysis is carried out for load flows (the production and consumption profiles) of agronomic, horticultural and livestock. According to the location theories in minimizing costs, a mathematical model is developed to compute costs of agricultural logistics center establishment per each 1440 blocks located in potential sites in terms of compensatory criteria and then under the Arc GIS software environment, all data layers related to these criteria are developed and integrated. The best option is to install a block logistics center having the minimum cost. Due to the large volume of data gathered as well as the variety of analysis and calculation units (blocks of 25 Km²), the C⁺⁺ programmer is used to perform algebraic and matrix calculations. (Road and rail) distances applied in the model for different origins and destinations are calculated and extracted as the distance of the network through the Arc GIS software. Raw data of road bill of lading blocks have been obtained from the Road Maintenance and Transportation Organization of Isfahan for the period between 2013 and 2018 for the commodity groups including agronomic, horticultural and livestock
Conclusion: The most optimal (least expensive) area for the establishments of an agricultural logistics center is located in the west of the urban complex of Isfahan and between the counties of Tiran and Karvan, Najafabad and Lenjan. The proposed area acts as an intermediary between the production centers of agronomic, horticultural and livestock products in the west of the province and the urban complex of Isfahan as a major consumer of agronomic, horticultural and livestock products. Proximity to the west-north freeway makes it possible to send the province's surplus products to the northern and eastern provinces of the country.
 

Keywords

• Agricultural Logistics center
• Compensatory and non-compensatory criteria
• Location
• Spatial distribution of Load Flows
• Supply chain

20.1001.1.20084722.1400.35.1.3.3

Main Subjects

• Marketing and Trade of Agriculture Production

References

1. Ambrosino D., and Sciomachen A. 2012. Hub locations in urban multimodal networks. European Transport/Trasporti Europei 51: 1–14.
2. Asadi A., Akbari M., Mohammadi Y., and Hossaininia G. 2010. Agricultural wheat waste management in Iran. Australian Journal of Basic and Applied Sciences 4(3): 421-428. (In Persian with English Abstract)
3. Bahrami F., Safari H., Tavakkoli-Moghaddam R., and Modarres Yazdi M. 2017. Road hub location-routing issue in a sparse and distant area. Journal of Industrial Management 9(1): 59-78. (In Persian with English Abstract)
4. Barry M.P. 2014. U.S. Global logistics and transport: a computable general equilibrium model. Global Journal of Human-Social Science Research 13(3): 61-71.
5. Cheraghi E., Heydari J., Rahimi Y., and Razmi J. 2017. Mathematical model of multi-product P-hub median problem by considering methods of finance and environmental approach using meta-heuristic algorithms: a case study in Iran's transportation network. Quarterly Journal of Transportation Engineering 8(2): 195-213. (In Persian with English Abstract)
6. Christaller W., and Baskin C.W. 1966. Central places in southern Germany. Englewood Cliffs, N.J: Prentice-Hall.
7. Dehghan Shabani Z. 2011. Regional analysis of economic growth in Iran (3D approach). University of Isfahan, Department of Economics. (In Persian with English Abstract)
8. Deputy Minister of Transportation of the Ministry of Roads and Urban Development of the Islamic Republic of Iran. 2018. Documentation of the country's logistics centers. Comprehensive plan office and transportation models. (In Persian)
9. Ding J.F. 2013. Applying an integrated fuzzy MCDM method to select hub location for global shipping carrier-based logistics service providers. WSEAS Transactions on Information Science and Applications 10(2): 47–57.
10. FAO. 2009. How to feed the world in 2050. Rome.
11. FAO. 2002. The role of agriculture in the development of least-developed countries and their integration into the world economy. Retrieved from: https://siteresources.worldbank.org.
12. Fujita M., Krugman P., and Venables A.J. 1999. The spatial economy: cities, regions, and international trade. The MIT Press.
13. Gao M., and Dong M. 2012. Analysis of logistics center location-selecting based on GIS-take Li County as an example. Advanced Materials Research 569: 804–807.
14. Governorate of Isfahan Province. 2013. Land use planning studies and strategic development document of Isfahan province. Deputy for Planning and Employment. (In Persian)
15. Gustavsson J., Cederberg C., and Sonesson U. 2011. Global food losses and food waste. Gothenburg, Sweden. Food and Agriculture Organization of the United Nations. Available on: http://www.fao.org/docrep/014/mb060e/mb060e.pdf.
16. Hejazi S.J., Mostafavi H., and Taghizadeh A. 2014. Logistic hub location for optimal transportation imported goods to internal area of Iran using Arc GIS. The 13^th International Conference on Traffic and Transportation Engineering, Tehran. (In Persian with English Abstract)
17. Jorgensen A. 2007. A perspective on freight transport in South Africa. Notes presented at a special interest group meeting, Johannesburg, South Africa.
18. Kiparisov P. 2016. Selection of logistics centres location: case of Russia. Central European University, Department of Economics.
19. Klapita V., and Sˇvecova´ Z. 2006. Logistics centers location. Transport 21(1): 48–52.
20. Liu X., Guo X., and Zhao X. 2012. Study on logistics center site selection of Jilin province. Journal of Software 7(8): 1799–1806.
21. Mahmoodinia M., Soleimani M., and Karimi B. 2016. Designing wheat transportation network in Iran, using hub-location approach with intermodal transportation. Journal of Transportation Engineering 8(1): 125-140. (In Persian with English Abstract)
22. Management and Planning Organization of Isfahan Province. 2017. Isfahan provincial development plan with resistance economy model. Deputy for Program and Budget Coordination. (In Persian)
23. Mohammadi M., and Mazhari R. 2018. Investigating the interaction between economic growth and agricultural development in Iran. Journal of Agricultural Economics Research 9(36): 259-282. (In Persian with English Abstract)
24. Mostafavi M., Tajrishi M., and Babaee nejhad M. 2006. Technical and economic evaluation of waste in the agricultural industry. Available on: http://ewrc.sharif.ir/wp- content/uploads/2015/09/babaeinejhad-82.pdf. (In Persian)
25. North D.C. 1955. Location theory and regional economic growth. Journal of Political Economy 63: 243-258.
26. O'Kelly M., and Bryan D. 1996. Agricultural location theory: Von Thünen's contribution to economic geography. Progress in Human Geography 20(4): 457-475.
27. Oktal H., and Ozger A. 2013. Hub location in air cargo transportation: a case study. Journal of Air Transport Management 27: 1–4.
28. Pamučar D., and Božanić D. 2019. Selection of a location for the development of multimodal logistics center: application of single-valued neutrosophic MABAC model. Operational Research in Engineering Sciences: Theory and Applications 2(2): 55–71.
29. Peykar Parsan M., Shabanali-fami H., Daneshvarameri J., and Khodabakhshi A. 2013. Factors influencing the application of waste management operations in apple production in Abhar County. Iranian Journal of Agricultural Economics and Development 44: 329-341.
30. Rahimi M., Asef-Vaziri A., and Harrison R. 2008. An inland port location-allocation model for a regional intermodal goods novement system. Maritime Economics and Logistics 10(4): 362–379.
31. Rao C., Goh M., Zhao Y., and Zheng J. 2015. Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment 36: 29-44.
32. Razeghi M., and Sadigh H. 2018. Investigation of mechanisms to reduce agricultural waste utilizing Delphi technique. Food Science and Technology 15 (82): 1-16. (In Persian with English Abstract)
33. Regmi MB., and Hanaoka S. 2012. Application of analytic hierarchy process for location analysis of logistics centers in Laos. Presentation at 91th Annual Transportation Research Board Meeting & publication in the Transportation Research Record: Journal of Transportation Reserch Board.
34. Research Center of the Islamic Consultative Assembly of Iran. 2017. Investigating the necessity of creating hubs and logistics centers in Iran. Available on the site: http://rc.majlis.ir/en/report/show/1027387. (In Persian)
35. Safargholi A.H., and Behnamian J. 2017. Locating hierarchical hub in multi-modal network with taking into account the requirements of service. Modern Researches in Decision Making 1(4): 101-115. (In Persian with English Abstract)
36. Sˇkrinjar JP., Rogic´ K., and Stancovic´ R. 2012. Location of urban logistic terminals as hub location problem. Promet–Traffic–Traffico 24(5): 433–440.
37. Uyanik C., Tuzkaya G., and Oguztimur S. 2018. A literature survey on logistics centers' location selection problem. Sigma Journal of Engineering and Natural Sciences 36(1): 141-160.
38. Vieira C.L., and Luna M.M. 2016. Models and methods for logistics hub location: a review towards transportation networks design. Pesquisa Operacional 36(2): 375-397.
39. Wang BH., and He SW. 2009. Robust optimization model and algorithm for logistics center location and allocation under uncertain environment. Journal of Transportation Systems Engineering and Information Technology 9(2): 69–74.
40. World Bank report on logistics for years 2012, 2014 and 2016. Available at: https://lpi.worldbank.org.
41. Xin X., Yu N., and Chao X. 2019. A study on location of logistics hubs of hub-and-spoke network in Beijing-Tianjin-Hebei region. Journal of Physics: Conference Series 1187(5).
42. Xu Y., Jia H., Zhang Y., and Tian G. 2018. Analysis on the location of green logistics park based on heuristic algorithm. Advances in Mechanical Engineering 10(5): 1–13.
43. Yang Q., and Meng Lu. 2016. Analytic hierarchy process (AHP) in the application of logistics center location selection process. 4th International Conference on Mechanical Materials and Manufacturing Engineering.
44. Żak J., and Węgliński S. 2014. The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia 3: 555–564.
45. Zhang Sh. 2019. Location selection of logistics center. Bachelor´s Thesis, JAMK University of Applied Sciences.
46. Zhi J., Liu JY., Wang W., Wu HP., and Gao J. 2010. Logistics center location selection based on the algorithm of hybrid particle swarm optimization. Key Engineering Materials 439: 429–433.