倉儲設置區位之選擇決策，不只是一個複雜且需要考慮各種不同因素的問題。在一個高度競爭的環境中，隨著企業營運逐漸成長，選擇其他區域建立倉庫是增強競爭優勢、擴大客戶市場、降低營運成本與提高獲利所必須要考慮的因素。這些因素挑戰區域營運經理的決策，以選擇一個最佳的新設倉庫地點。本篇論文使用一個建築材料供應商為個案分析公司，研究目的是依照位於泰國的個案公司資料，從五個可行方案中選擇最好的地點建立新的倉庫。在研究過歷史文獻發現，過去的研究多數是把焦點放在複雜數學公式所建構成熟架構下的研究，但是大多數在地的公司都無法使用。本篇論文提出使用管理角度切入的評估架構，使用強弱危機分析做為基礎工具來檢驗各個候選地點，並使用加權決策矩陣來排序各種方案。我們選擇了十五個決策評估準則，經過計算之後評估候選地點方案。最後在Ratchaburi、Ubon Ratchathani、Mahasarakham、Chaiyaphum、Nakhon Si Thammarat五個地點之中，為個案公司選出最適合的新設倉庫地點。

The decision on warehouse location selection is complex and involve various criteria to consider. Due to highly competitive market, it increases the necessity to expanding warehouse in other region to enhance the competitive advantages and customer bases, minimize cost and increase profit. These factors challenge local firm’s manager to select the optimal location in order to achieve goals. This study uses a construction material local retail store as a case study. It aimed to select the most suitable location to build warehouse among five alternative locations in Thailand for the company. After the literature review, majority of previous studies is focus on sophisticated framework with a lot of complex mathematic formula which local firm unable to followed. This study purposed evaluation framework based on management perspective approach, using SWOT analysis as a tool to examine each candidate location and then perform weighted decision matrix for ranking alternatives. Fifteen decision-making criteria are selected and being analyzed to perform evolution of the candidate locations. Five different locations of Ratchaburi, Ubon Ratchathani, Mahasarakham, Chaiyaphum and Nakhon Si Thammarat have been evaluated for the case study, and approach proposed in this study has been performed to determine the most suitable location for warehouse construction.

1. Al Amin, M., Das, A., Roy, S., & Imran Shikdar, M. (2019). Warehouse selection problem solution by using proper MCDM process. International Journal of Science and Qualitative Analysis, 5(2), 43–51. [https://doi.org/10.11648/j.ijsqa.20190502.13]
2. Banomyong, R., & Supatn, N. (2011). Selecting logistics providers in Thailand: A shippers’ perspective. European Journal of Marketing, 45(3), 419–437. [https://doi.org/10.1108/03090561111107258]
3. Chaiyaphum Provincial Administration Organization. (2018). Provincial Development Four Years Plan of Chaiyaphum (Report of Session 2018-2021). [http://www.oic.go.th/FILEWEB/CABINFOCENTER21/DRAWER005/GENERAL/DATA0000/00000311.PDF]
4. Charoenpanyaying, S., & Dachparot, T. (2018). The potential of the Ubon Ratchathani province border trade and transport to tune country into AEC. Chulalongkorn University Transportation Institute. [http://www.cuti.chula.ac.th/triresearchlibrary/2561/ubol.pdf]
5. Deloitte Thailand. (2019). Economic Outlook Report 2019. [https://www2.deloitte.com/content/dam/Deloitte/th/Documents/about-deloitte/th-about-economic-outlook-1h-2019.pdf]
6. Demirel, T., Demirel, N. Ç., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952. [https://doi.org/10.1016/j.eswa.2009.11.022]
7. Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2017). Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain. Computers and Industrial Engineering, 105, 101–122. [https://doi.org/10.1016/j.cie.2016.12.025]
8. Ekmekçioglu, M., Can Kutlu, A., & Kahraman, C. (2011). A fuzzy multi-criteria swot analysis: An application to nuclear power plant site selection. International Journal of Computational Intelligence Systems, 4(4), 583–595. [https://doi.org/10.1080/18756891.2011.9727814]
9. Eldemir, F., & Onden, I. (2016). Geographical information systems and multicriteria decisions integration approach for hospital location selection. International Journal of Information Technology and Decision Making, 15(5), 975–997. [https://doi.org/10.1142/S0219622016500218]
10. Emeç, Ş., & Akkaya, G. (2018). Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem. Journal of Enterprise Information Management, 31(6), 950–962. [https://doi.org/10.1108/JEIM-12-2016-0195]
11. Erbıyık, H., Özcan, S., & Karaboğa, K. (2012). Retail Store Location Selection Problem with Multiple Analytical Hierarchy Process of Decision Making an Application in Turkey. Procedia - Social and Behavioral Sciences, 58, 1405–1414. [https://doi.org/10.1016/j.sbspro.2012.09.1125]
12. Eskandari, M., Homaee, M., Mahmoodi, S., Pazira, E., & Van Genuchten, M. T. (2015). Optimizing landfill site selection by using land classification maps. Environmental Science and Pollution Research, 22(10), 7754–7765. [https://doi.org/10.1007/s11356-015-4182-7]
13. García, J. L., Alvarado, A., Blanco, J., Jiménez, E., Maldonado, A. A., & Cortés, G. (2014). Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Computers and Electronics in Agriculture, 100, 60–69. [https://doi.org/10.1016/j.compag.2013.10.009]
14. Güler, D., & Yomralıoğlu, T. (2017). Alternative suitable landfill site selection using analytic hierarchy process and geographic information systems: A case study in Istanbul. Environmental Earth Sciences, 76(20). [https://doi.org/10.1007/s12665-017-7039-1]
15. Jayaram, J., & Tan, K. C. (2010). Supply chain integration with third-party logistics providers. International Journal of Production Economics, 125(2), 262–271. [https://doi.org/10.1016/j.ijpe.2010.02.014]
16. Khorsandi, H., Faramarzi, A., Aghapour, A. A., & Jafari, S. J. (2019). Landfill site selection via integrating multi-criteria decision techniques with geographic information systems: A case study in Naqadeh, Iran. Environmental Monitoring and Assessment, 191(12). [https://doi.org/10.1007/s10661-019-7863-8]
17. Koc, A., Turk, S., & Şahin, G. (2019). Multi-criteria of wind-solar site selection problem using a GIS-AHP-based approach with an application in Igdir Province/Turkey. Environmental Science and Pollution Research. [https://doi.org/10.1007/s11356-019-06260-1/Published]
18. Krungsri Research. (2020). 2020-2022 Thailand Industry Outlook. [https://www.krungsrisecurities.com/images.aspx?filename=http://www.krungsrisecurities.com/uploads/2020/01/research_en_US_10484_1_IO_Industry_Outlook_2020_2022_EN_EX.pdf]
19. Mahasarakham Provincial Administration Organization. (2018). Provincial Development Four Years Plan of Mahasarakham (Report of Session 2018-2021). [http://www.mahasarakham.go.th/mkweb/images/yut/plan2-63.pdf]
20. Messaoudi, D., Settou, N., Negrou, B., Rahmouni, S., Settou, B., & Mayou, I. (2019). Site selection methodology for the wind-powered hydrogen refueling station based on AHP-GIS in Adrar, Algeria. Energy Procedia, 162, 67–76. [https://doi.org/10.1016/j.egypro.2019.04.008]
21. Mihajlović, J., Rajković, P., Petrović, G., & Ćirić, D. (2019). The selection of the logistics distribution fruit center location based on MCDM methodology in southern and eastern region in Serbia. Operational Research in Engineering Sciences: Theory and Applications, 2(2). [https://doi.org/10.31181/oresta190247m]
22. Ministry of Labor. (2019). The National Wage Committee’s Notification on Minimum Wage Rate (No.9). [https://www.mol.go.th/wp-content/uploads/sites/2/2019/07/prakaaskhnakrrmkaarkhaacchaang_eruueng_atraakhaacchaangkhantam_chbabthii9_0.pdf]
23. Nakhon Si Thammarat Provincial Administration Organization. (2018). Provincial Development Four Years Plan of Nakhon Si Thammarat (Report of Session 2018-2021). [http://www.nakhoncity.org/document/plan/plan42561-2564.pdf]
24. NESDC, Office of the National Economic and Social Development Council. (2017). Gross Regional and Provincial Product, Chain Volume Measures 2017 Edition. [https://www.nesdc.go.th/ewt_dl_link.php?nid=5628&filename=gross_regional]
25. Oreski, D. (2012). Strategy development by using SWOT-AHP. TEM Journal, 1, 283–291.
26. Özcan, T., Elebi, N., & Esnaf, A. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. [https://doi.org/10.1016/j.eswa.2011.02.022]
27. Özdaǧoǧlu, A. (2012). A multi-criteria decision-making methodology on the selection of facility location: Fuzzy ANP. International Journal of Advanced Manufacturing Technology, 59(5–8), 787–803. [https://doi.org/10.1007/s00170-011-3505-1]
28. Rabinovich, E., Windle, R., Dresner, M., & Corsi, T. (1999). Outsourcing of integrated logistics functions An examination of industry practices (No. 6; pp. 960–995). # MCB University [Press. http://www.emerald-library.com]
29. Ratchaburi Provincial Administration Organization. (2019). Provincial Development Four Years Plan of Ratchaburi (Report of Session 2018-2021). [http://www.harvardasia.co.th/wp-content/uploads/2017/08/straegic-ratchaburi-1.pdf]
30. Selviaridis, K., & Spring, M. (2007). Third party logistics: A literature review and research agenda (Vol. 18). [https://doi.org/10.1108/09574090710748207]
31. Senvar, O., Otay, I., & Bolturk, E. (2016). Hospital site selection via hesitant fuzzy TOPSIS. IFAC-Papersonline, 49(12), 1140–1145. [https://doi.org/10.1016/j.ifacol.2016.07.656]
32. Sohail, M. S., & Sohal, A. S. (2003). The use of third party logistics services: A Malaysian perspective. Technovation, 23(5), 401–408. [https://doi.org/10.1016/S0166-4972(02)00003-2]
33. Treasury Department. (2016a). Chaiyaphum Province Land Valuation (Report of Session 2016-2019). [http://www.trdweb.synerry.com/web-upload/m_document/154/4749/file_download/93d9db9e2681f66f2a844e234449937c.pdf]
34. Treasury Department. (2016b). Mahasarakham Province Land Valuation (Report of Session 2016-2019).[http://www.trdweb.synerry.com/web-upload/m_document/154/4749/file_download/7485c54eeb2211b79c10da1d2781936a.pdf
35. Treasury Department. (2016c). Nakhon Si Thammarat Province Land Valuation (Report of Session 2016-2019). [http://www.trdweb.synerry.com/web-upload/m_document/154/16/file_download/24a31551dfca627cd56539582e041ceb.pdf]
36. Treasury Department. (2016d). Ratchaburi Province Land Valuation (Report of Session 2016-2019). [http://www.trdweb.synerry.com/web-upload/m_document/154/4750/file_download/e31df4ecafaf8040bb5e14bd301c92b7.pdf]
37. Treasury Department. (2016e). Ubon Ratchathani Province Land Valuation (Report of Session 2016-2019). [http://www.trdweb.synerry.com/web-upload/m_document/154/4749/file_download/098a7c977fdffe230dfbca4079858e64.pdf]
38. Vahidnia, M. H., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90(10), 3048–3056. [https://doi.org/10.1016/j.jenvman.2009.04.010]
39. Vanichchinchai, A., & Apirakkhit, S. (2018). An identification of warehouse location in Thailand. Asia Pacific Journal of Marketing 30(3), 749-758. [https://doi.org/10.1108/APJML-10-2017-0229]
40. Veronesi, F., Schito, J., Grassi, S., & Raubal, M. (2017). Automatic selection of weights for GIS-based multicriteria decision analysis: Site selection of transmission towers as a case study. Applied Geography, 83, 78–85. [https://doi.org/10.1016/j.apgeog.2017.04.001]
41. Vlachopoulou, M., Silleos, G., & Manthou, V. (2001). Geographic information systems in warehouse site selection decisions. International Journal of Production Economics, 205–212).
42. Wu, C. R., Lin, C. T., & Chen, H. C. (2007). Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis. Building and Environment, 42(3), 1431–1444. [https://doi.org/10.1016/j.buildenv.2005.12.016]
43. Yang, C. L., Chuang, S. P., Huang, R. H., & Tai, C. C. (2008). Location selection based on AHP/ANP approach. 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, 1148–1153. [https://doi.org/10.1109/IEEM.2008.4738050]