Determine the optimal location for the industrial facility

DOI:

https://doi.org/10.36371/port.2021.4.1

Authors

  • H. K. Kazem Department of Medical Laboratories Central Technical University, Technical Institute in Balad, Iraq.

In the economies of countries, regardless of their political systems, industry is a major axis in
their economic growth paths. These requirements are closely related to the technical and technical aspect
of the production process, as they are also related to the spatial space in which this industry is held, in
particular the choice of the site for its production activity. As this choice has an impact on the cost of the
product, especially the costs of transferring inputs and outputs of the production process, otherwise, the
improper choice leads to higher unit cost of the product for the consumer and affect the volume of
production and consumption together, and the consequent economic effects with social implications on
Individual and society. In this research, the optimal location of the industrial facility was determined when
we have two sources of raw materials between them and the market and according to the Walter Izerd
hypothesis using the CAD program to represent the graphs necessary to determine the optimal location of
the industrial facility. This topic was addressed to its consequent life because the selection of the appropriate
site for industrial ransom must be appropriate in terms of economic feasibility, as well as these sites must
take into account their side effects on environmental pollution and develop appropriate solutions and how
to get rid of these pollutants Production processes.

Keywords:

determine;, location;, industrial;, facility.

[1] Abu Bakar, M., Ahmad, S., Salleh, A. D., & Md Salleh, M. F. (2020). Waqf and sustainable development goals (SDGs): A

[2] Critical review from Malaysia perspective. Journal of Critical Reviews, 7(13), 2362–2385. Retrieved from

[3] http://www.jcreview.com/fulltext/197-1597912417.pdf

[4] McCaffrey, M. (2017). The economic theory of costs: Foundations and new directions. The Economic Theory of Costs:

[5] Foundations and New Directions (pp. 1–270). Taylor and Francis. https://doi.org/10.4324/9781315617336

[6] Book Reviews. (1990). Asian‐Pacific Economic Literature, 4(2), 83–112. https://doi.org/10.1111/j.1467-

[7] 1990.tb00178.x

[8] Salkind, N. J. (2014). Statistics for people who (think they) hate statistics. Statistics for People Who (Think They) Hate

[9] Statistics, 105–128.

[10] Howard, E., Newman, C., & Tarp, F. (2016). Measuring industry coagglomeration and identifying the driving forces. Journal

[11] of Economic Geography, 16(5), 1055–1078. https://doi.org/10.1093/jeg/lbv037

[12] Consumer psychology of tourism, hospitality and leisure. (2004). Consumer psychology of tourism, hospitality and leisure.

[13] CABI. https://doi.org/10.1079/9780851997490.0000

[14] Krampf, R., Ueltschy, L., & D’Amico, M. (2003). The Contribution of Emotion To Consumer Satisfaction in the Service

[15] Setting. Marketing Management Journal. Retrieved from

[16] http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=18075890&site=ehost-live

[17] Gonzalez, R. S., & Flamant, G. (2013). Technical and economic feasibility analysis of using concentrated solar thermal

[18] technology in the cement production process: Hybrid approach - A case study. In ASME 2013 7th Int. Conf. on Energy

[19] Sustainability Collocated with the ASME 2013 Heat Transfer Summer Conf. and the ASME 2013 11th Int. Conf. on Fuel Cell

[20] Science, Engineering and Technology, ES 2013. https://doi.org/10.1115/ES2013-18143

[21] Putra, F. E., Purba, H. H., & Anggraeni, I. A. (2020). The optimization of distribution and transportation costs for common

[22] good products. International Journal of Industrial Optimization, 1(2), 111. https://doi.org/10.12928/ijio.v1i2.2368

[23] Mert, M. (2018). Measuring economic growth using production possibility frontier under Harrod neutrality. International

[24] Journal of Engineering Business Management, 10. https://doi.org/10.1177/1847979018768416

[25] Grubbström, R. W., & Tang, O. (2000). An overview of input-output analysis applied to production-inventory

[26] systems. Economic Systems Research. Carfax Publishing Company. https://doi.org/10.1080/095353100111254

[27] Dennis, C., Merrilees, B., Jayawardhena, C., & Wright, L. T. (2009). E-consumer behaviour. European Journal of

[28] Marketing, 43(9), 1121–1139. https://doi.org/10.1108/03090560910976393

[29] Boyle, G. J. (1984). Reliability and validity of Izard’s differential emotions scale. Personality and Individual Differences, 5(6),

[30] –750. https://doi.org/10.1016/0191-8869(84)90124-7

[31] Shapiro, B. P., & Bonoma, T. V. (1984). How to Segment Industrial Markets. Harvard Business Review, 62, 104–110.

[32] Deshmukh, A. V. (1992). Facility location and the theory of production. Journal of Manufacturing Systems, 11(3), 224–225.

[33] https://doi.org/10.1016/0278-6125(92)90007-3

[34] Bekele, E. G., Lant, C. L., Soman, S., & Misgna, G. (2013). The evolution and empirical estimation of ecological-economic

[35] production possibilities frontiers. Ecological Economics, 90, 1–9. https://doi.org/10.1016/j.ecolecon.2013.02.012

[36] Spelke, E. S. (2011). Core Systems and the Growth of Human Knowledge: Natural Geometry 74 Human Neuroplasticity

[37] and Education. Human Neuroplasticity and Education. Retrieved from

[38] www.pas.va/content/dam/accademia/pdf/sv117/sv117-spelke.pdf

Kazem, H. K. . (2022). Determine the optimal location for the industrial facility. Journal Port Science Research, 4(4), 243–251. https://doi.org/10.36371/port.2021.4.1

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