A Multi Criteria Decision-Making Model for Selecting Sustainable Forklifts: A Case Study of a Warehouse Company in Nakhon Pathom Province
Article Sidebar
Main Article Content
Abstract
Sustainable logistics is currently vital for enhancing competitive advantage, yet warehouse companies face significant challenges in selecting material handling equipment that balances economic, environmental, and social criteria. This complexity often leads to decisions based on incomplete assessments, highlighting a gap in structured, holistic evaluation models. Therefore, the objective of this study is to develop and validate a hybrid multi-criteria decision-making (MCDM) framework for sustainable forklift selection in the context of a Thai warehouse company. The proposed model integrates the Stepwise Weight Assessment Ratio Analysis (SWARA) for weighting fifteen sub-criteria across three sustainability dimensions, and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) for ranking four forklift alternatives. Data were gathered from ten experts, including managers and operators. The findings reveal that the economic dimension (41%) is prioritized over the environmental (32%) and social (27%) dimensions. Specifically, 'purchase cost,' 'energy efficiency,' and 'operator safety' were the most influential sub-criteria. The Electric Forklift Model 2 (ETFL2) was identified as the optimal sustainable alternative with an overall preference score of 0.852. This research provides a practical, data-driven decision support tool for managers to justify sustainable investments and contributes a validated application of the SWARA-FTOPSIS model to sustainable logistics.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์ของบทความ
ผลงานที่ได้รับการตีพิมพ์ถือเป็นลิขสิทธิ์ของมหาวิทยาลัยหอการค้าไทย ห้ามมิให้นำเนื้อหา ทัศนะ หรือข้อคิดเห็นใด ๆ ของผลงานไปทำซ้ำ ดัดแปลง หรือเผยแพร่ ไม่ว่าทั้งหมดหรือบางส่วนโดยไม่ได้รับอนุญาตเป็นลายลักษณ์อักษรจากมหาวิทยาลัยหอการค้าไทยก่อน
References
Brauers, W.K.M. & Zavadskas E.K. (2006) The MOORA Method and Its Applications to Privatization in a Transition Economy. Control and Cybernetics, 35(2), 445-469. http://eudml.org/doc/209425
Cakmak, E. (2023). Supplier selection for a power generator sustainable supplier park: Interval-valued neutrosophic SWARA and EDAS application. Sustainability, 15(18), 1-24. https://doi.org/10.3390/su151813973
Chakraborty, S., & Saha, A. K. (2024). Selection of forklift unit for transport handling using integrated MCDM under neutrosophic environment. FACTA Universitatis. Series: Mechanical Engineering, 22(2), 235-256. https://doi.org/10.22190/FUME220620039C
D'Aniello, G. (2023). Fuzzy logic for situation awareness: a systematic review. Journal of Ambient Intelligence and Humanized Computing, 14, 4419–4438. https://doi.org/10.1007/s12652-023-04560-6
Dua, T. V. (2023). Forklift selection by multi-criteria decision-making methods. Eastern-European Journal of Enterprise Technologies, 5(3), 95–101. https://doi.org/10.15587/1729-4061.2023.285791
Facchini, F., Mummolo, G., Mossa, G., Digiesi, S., Boenzi, F., & Verriello, R. (2016). Minimizing the carbon footprint of material handling equipment: Comparison of electric and LPG forklifts. Journal of Industrial Engineering and Management, 9(5), 1035-1046. https://doi.org/10.3926/jiem.2082
Fazlollahtabar, H., Smailbašić, A., & Stević, Ž. (2019). FUCOM method in group decision-making: Selection of forklift in a warehouse. Decision Making: Applications in Management and Engineering, 2(1), 49–65. https://doi.org/10.31181/dmame1901065f
Görçün, Ö. F., Tirkolaee, E. B., Küçükönder, H., & Garg, C. P. (2024). Assessing and selecting
sustainable refrigerated road vehicles in food logistics using a novel multi-criteria group
decision-making model. Information Sciences, 661, 1-26.
https://doi.org/10.1016/j.ins.2024.120161
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A
comprehensive review to explore the future. European Journal of Operational Research,
(3), 603-626. https://doi.org/10.1016/j.ejor.2014.07.012
Hendiani, S., & Walther, G. (2023). Sustainability performance evaluation of renewable energy systems using a new multi-expert multi-criteria interval type-2 fuzzy distance to ideal solution approach. Applied Energy, 347, 1-21. https://doi.org/10.1016/j.apenergy.2023.121436
Huang, X., Lin, Y., Lim, M. K., Tseng, M.-L., & Zhou, F. (2021). The influence of knowledge management on adoption intention of electric vehicles: Perspective on technological knowledge. Industrial Management & Data Systems, 121(7), 1481–1495. https://doi.org/10.1108/IMDS-07-2020-0411
Huskanović, E., Stević, Ž., & Simić, S. (2023). Objective-subjective CRITIC-MARCOS model for selection forklift in internal transport technology processes. Mechatronic Systems and Intelligent Transportation, 2(1), 20-31. https://doi.org/10.56578/mits020103
Jiang, Y.-P., Fan, Z.-P., & Ma, J. (2008). A method for group decision making with multi-granularity linguistic assessment information. Information Sciences, 178(4), 1098-1109. https://doi.org/10.1016/j.ins.2007.09.007
Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., & Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. Journal of Cleaner Production, 47, 355-367. https://doi.org/10.1016/j.jclepro.2013.02.010
Mohammadpour, M., Kelouwani, S., Gaudreau, M.-A., Zeghmi, L., Amamou, A., Bahmanabadi, H., Allani, B., & Graba, M. (2024). Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model. Expert Systems with Applications, 237, 1-14. https://doi.org/10.1016/j.eswa.2023.121623
Mei, M., & Chen, Z. (2021). Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA. Renewable Energy, 165, 716–730. https://doi.org/10.1016/j.renene.2020.11.051
Office of the National Economic and Social Development Council (NESDC). (2024). Thailand Logistics Report 2024 [Report].
Ortiz-Barrios, M., Cabarcas-Reyes, J., Ishizaka, A., Barbati, M., Jaramillo-Rueda, N., & Carrascal-Zambrano, G. J. (2021). A hybrid fuzzy multi-criteria decision-making model for selecting a sustainable supplier of forklift filters: A case study from the mining industry. Annals of Operations Research, 307(1), 443–481. https://doi.org/10.1007/s10479-020-03737-y
Pamucar, D. S., Pejcic Tarle, S., & Parezanovic, T. (2018). New hybrid multi-criteria decision-making DEMATEL MAIRCA model: Sustainable selection of a location for the development of multimodal logistics centre. Economic Research-Ekonomska Istraživanja, 31(1), 1641–1665. https://doi.org/10.1080/1331677X.2018.1506706
Pipawakorn, A., & Pasunon, P. (2023). The Documentary Research to Synthesize Components of Sustainable Business Development Concept for Small and Medium Enterprises. University of the Thai Chamber of Commerce Journal Humanities and Social Sciences, 43(4), 142–163. https://so06.tci-thaijo.org/index.php/utccjournalhs/article/view/263738 [in Thai]
Průša, P., Jovčić, S., Němec, V., & Mrázek, P. (2018). Forklift truck selection using TOPSIS method. International Journal for Traffic and Transport Engineering, 8(3), 390-398. https://doi.org/10.7708/ijtte.2018.8(3).10
Srinual, N., & Boonraksa, N. (2025). A Multicriteria Decision-Making Model for Selecting Warehouse Rack Systems. Business Administration and Management Journal Review, 17(1), 271–290. https://so01.tci-thaijo.org/index.php/bahcuojs/article/view/275913
Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering, 140, 1-15. https://doi.org/10.1016/j.cie.2019.106231
Streimikiene, D., Kiausiene, I., & Makunaite, G. (2024). The importance of corporate image and social
responsibility for consumer engagement in sustainable consumption. E&M Economics and
Management, 27(2), 125–141. https://doi.org/10.15240/ tul/001/2024-2-008
Ulutaş, A., Topal, A., Karabasevic, D., & Balo, F. (2023). Selection of a forklift for a cargo company with fuzzy BWM and fuzzy MCRAT methods. Axioms, 12(5), 467, 1-16. https://doi.org/10.3390/axioms12050467
Zajac, P., & Rozic, T. (2022). Energy consumption of forklift versus standards, effects of their use and expectations. Energy, 239, 1-16. https://doi.org/10.1016/j.energy.2021.122187
Ziółkowski, A., Fuć, P., Jagielski, A. & Bednarek, M. (2022). Analysis of emissions and fuel
consumption from forklifts by location of operation. Combustion Engines, 189(2), 30–35.
