RESEARCH PAPER
Reliability and efficiency in technology selection in logistics facilities – multi-criteria decision support using the AHP method
1
Faculty of Transport, Warsaw University of Technology, Poland
Submission date: 2024-12-05
Final revision date: 2024-12-23
Acceptance date: 2025-01-31
Online publication date: 2025-02-09
Publication date: 2025-02-09
Corresponding author
Aleksandra Panek
Faculty of Transport, Warsaw University of Technology, 75 Koszykowa Street, 00-662, Warsaw, Poland
Faculty of Transport, Warsaw University of Technology, 75 Koszykowa Street, 00-662, Warsaw, Poland
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):200684
HIGHLIGHTS
- A Bayesian-based reliability analysis method by fusing prior and test data is proposed.
- The prior data are expanded using neural network in combination with simulation data.
- The mechanism kinematic accuracy reliability is quantified under small-sample condition.
- The key variables affecting the retraction mechanism reliability are identified.
KEYWORDS
TOPICS
ABSTRACT
Reliability, including on-time delivery, is a key indicator of supply chain efficiency. Logistics facilities like warehouses and terminals play a crucial role in meeting service deadlines. Choosing the right technology, such as equipment for goods flow, is essential to ensuring process efficiency and reliability. This paper highlights the usefulness of multi-criteria decision-making methods, particularly the AHP method, in selecting optimal technological solutions based on efficiency and reliability indicators. The study analyzes modern warehouse technologies, evaluating their impact on cargo flow and operational reliability. Using the AHP method, solutions were compared based on factors like efficiency, reliability, access time, security, and costs. Technologies assessed include advanced high-rack systems, AGVs, and drones. The findings demonstrate the AHP method's value in aiding decision-makers and its contribution to enhancing efficiency and reliability in supply chains.
FUNDING
The article was written as part of a research grant awarded by the Scientific Council of the Discipline of Civil Engineering, Geodesy and Transport in 2024.
REFERENCES (51)
1.
Abdullah, L., Chan, W., & Afshari, A. (2019). Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions. Journal of Industrial Engineering International, 15, 271-285. https://doi.org/10.1007/s40092....
2.
Alidrisi, H. (2021). DEA-Based PROMETHEE II distribution-center productivity model: Evaluation and location strategies formulation. Applied Sciences, 11(20), 9567. https://doi.org/10.3390/app112....
3.
Altarazi, S., & Ammouri, M. (2022). Multi-Criteria Simulation Evaluation for Manual-Order-Picking Warehouse Design.
4.
Arslan, M. (2020). Application of AHP method for the selection of pharmaceutical warehouse location. Journal of faculty of pharmacy of ankara university, 44(2), 253-264. https://doi.org/10.33483/jfpau....
5.
Bouzon, M., Govindan, K., & Rodriguez, C. M. T. (2021). Reducing the extraction of minerals: Reverse logistics in the machinery manufacturing industry using ELECTRE TRI-nC method. Resources, Conservation and Recycling, 139, 1-15.
6.
Bukowski L, Feliks J. A unified model of systems dependability and process continuity for complex supply chains. In: Nowakowski T. et al. (eds) Safety and Reliability: Methodology and Applications, CRC Press Taylor & Francis Group, 2015: 2395-2403. https://doi.org/10.1201/b17399....
7.
Chen, X., Wu, Z., & Li, F. (2021). AHP-based analysis of critical success factors in green supply chain management: Evidence from China's manufacturing industry. Sustainability, 13(12), 6551.
8.
Chung S H, Chan H K, Chan F T S. A modified genetic algorithm for maximizing handling reliability and recyclability of distribution centers. Expert Systems with Applications 2013; 40(18): 7588–7595. https://doi.org/10.1016/j.eswa....
9.
Eryarsoy, E., Nalcioglu, H., Kilic, H. S., Yalcin, A. S., Zaim, S., & Delen, D. (2022). A framework for mitigating excessive transportation in the context of manufacturing localization. IEEE Transactions on Fuzzy Systems, 31(2), 619-630. https://doi.org/10.1109/TFUZZ.....
10.
Fazlollahtabar H, Saidi-Mehrabad M. Optimising a multi-objective reliability assessment in multiple AGV manufacturing system. International Journal of Services and Operations Management 2013; 16(3): 352–372.
11.
Govindan, K., Khodaverdi, R., & Jafarian, A. (2019). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 98, 66-77. https://doi.org/10.1016/j.jcle....
12.
Gundlach, G. T., Bolumole, Y. A., Eltantawy, R. A., & Frankel, R. (2006). The changing landscape of supply chain management, marketing channels of distribution, logistics and purchasing. Journal of Business & Industrial Marketing, 21(7), 428-438. https://doi.org/10.1108/088586....
13.
Hossain, M. K., & Thakur, V. (2021). Benchmarking health-care supply chain by implementing Industry 4.0: a fuzzy-AHP-DEMATEL approach. Benchmarking: An International Journal, 28(2), 556-581. https://doi.org/10.1108/BIJ-05....
14.
International Electrotechnical Commission, Electropedia. 192 Dependability, IEV ref 192-01-22. Available online: https://www.electropedia. org (accessed on Jul 27, 2021).
15.
Izdebski, M., Jacyna-Gołda, I., Gołębiowski, P., & Jaroslav, P. (2020). The optimization tool supporting supply chain management in the multi-criteria approach. Archives of Civil Engineering, 66(3). https://doi.org/10.24425/ace.2....
16.
Izdebski, M., Jacyna-Gołda, I., Gołębiowski, P., Gołda, P., Pyza, D., & Żak, J. (2020). Decision problems in designing database architecture for the assessment of logistics services. Zeszyty Naukowe. Transport-Politechnika Śląska, 108. https://doi.org/10.20858/sjsut....
17.
Jacyna, M. (2022). Wspomaganie decyzji w praktyce inżynierskiej. Polish Scientific Publishers PWN.
18.
Jacyna-Gołda, I., Kłodawski, M., Lewczuk, K., Łajszczak, M., Chojnacki, T., & Siedlecka-Wójcikowska, T. (2019). Elements of perfect order rate research in logistics chains. Archives of Transport, 49(1), 25-35. https://doi.org/10.5604/01.300....
19.
Jermsittiparsert, K., Sutduean, J., & Sriyakul, T. (2019). Role of warehouse attributes in supply chain warehouse efficiency in Indonesia. International journal of innovation, creativity and change, 5(2), 786-802.
20.
Kaczorek, M., & Jacyna, M. (2022). Fuzzy logic as a decision-making support tool in planning transport development. Archives of Transport, 61(1). https://doi.org/10.5604/01.300....
21.
Karim, N. H., Abdul Rahman, N. S. F., Md Hanafiah, R., Abdul Hamid, S., Ismail, A., Abd Kader, A. S., & Muda, M. S. (2021). Revising the warehouse productivity measurement indicators: Ratio-based benchmark. Maritime Business Review, 6(1), 49-71. https://doi.org/10.1108/MABR-0....
22.
Kumar, S., Singh, R., & Jain, V. (2020). An integrated approach of AHP-TOPSIS for sustainable vendor selection in supply chain management. Journal of Cleaner Production, 276, 124257.
23.
Kuncova, M., & Seknickova, J. (2022). Two-stage weighted PROMETHEE II with results’ visualization. Central European journal of operations research, 30(2), 547-571. https://doi.org/10.1007/s10100....
24.
Lasota, M., Jacyna, M., Wasiak, M., & Zabielska, A. (2022, September). The Use of Multi-criteria Methods in the Problem of Selecting Vehicles for Oversize Cargo Transport. In Scientific And Technical Conference Transport Systems Theory And Practice (pp. 22-47). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-....
25.
Le, H. Q., Pham, T. H., & Pham, D. N. (2021). Multi-criteria decision-making methods applied in logistics: A comprehensive review. Sustainability, 13(5), 2543.
26.
Lewczuk K, Dependability issues in designing warehouse facilities and their functional areas. Journal of KONBiN 2016; 2(38): 201–228, 10.1515/jok-2016-0024. https://doi.org/10.1515/jok-20....
27.
Li, Q., Chen, X., & Zhang, S. (2019). Application of AHP in evaluating logistics performance for Chinese manufacturing enterprises. International Journal of Production Economics, 210, 185-196.
28.
Liao, X., Hou, Q., Zhang, Y., & Song, H. (2020). Multi-criteria decision making for technology selection in distribution centers using TOPSIS method. Transportation Research Part E: Logistics and Transportation Review, 134, 101822.
29.
Liu, Y., Eckert, C. M., & Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judgements. Expert systems with applications, 161, 113738. https://doi.org/10.1016/j.eswa....
30.
Liu, W., Lin, Z., & Zhang, J. (2020). AHP-based evaluation of green logistics technology in China's transportation sector. Transportation Research Part D: Transport and Environment, 83, 102357.
31.
Marzouk, M., & Abdelkader, E. (2020). A hybrid fuzzy PROMETHEE method for construction project selection. Automation in Construction, 113, 103120. https://doi.org/10.1016/j.autc....
32.
Muślewski Ł.: Podstawy efektywności działania systemow transportowych, Uniwersytet Techniczno-Przyrodniczy, Radom 2010.
33.
Nadaban, S., Teodor, D., & Popescu, A. (2021). A comparative analysis of MCDM methods in logistics decision-making. Operations Research Perspectives, 8, 100174.
34.
Nehring, K., Lasota, M., Zabielska, A., & Jachimowski, R. (2023). A multifaceted approach to assessing intermodal transport. Zeszyty Naukowe. Transport-Politechnika Śląska, 121. https://doi.org/10.20858/sjsut....
35.
Nowakowski T. Analysis of possibilities of logistics systems reliability assessment. Safety and Reliability for managing risk 2006; 3. Leiden Taylor and Francis.
36.
Pasandideh, S. H. R., Niaki, S. T. A., & Asadi, K. (2015). Optimizing a bi-objective multi-product multi-period three echelon supply chain network with warehouse reliability. Expert Systems with Applications, 42(5), 2615-2623. https://doi.org/10.1016/j.eswa....
37.
Rudolph, C., Nsamzinshuti, A., Bonsu, S., Ndiaye, A. B., & Rigo, N. (2022). Localization of relevant urban micro-consolidation centers for last-mile cargo bike delivery based on real demand data and city characteristics. Transportation Research Record, 2676(1), 365-375. https://doi.org/10.1177/036119....
38.
Rześny-Cieplińska, J., & Szmelter-Jarosz, A. (2020). Priorities of Urban Transport System Stakeholders According to Crowd Logistics Solutions in City Areas. A Sustainability Perspective. Sustainability, 12 (317), 1–20. https://doi.org/10.3390/su1201....
39.
Salwin, M., Nehring, K., Jacyna-Gołda, I., Kraslawski, A. Product-service system design: an example of the logistics industry. Archives of Transport, 2022, 63(3), pp. 159–180. https://doi.org/10.5604/01.300....
40.
Sandra, M., Narayanamoorthy, S., Ferrara, M., Innab, N., Ahmadian, A., & Kang, D. (2024). A novel decision support system for the appraisal and selection of green warehouses. Socio-Economic Planning Sciences, 91, 101782. https://doi.org/10.1016/j.seps....
41.
Siagian, A., & Gwynne, R. (2023). An integrated model for selecting and evaluating logistics outsourcing decisions using AHP and PROMETHEE II. Journal of Industrial Engineering and Education, 1(1), 30-45.
42.
Taletović, M. (2023). Application of multi-criteria decision-making methods in warehouse: a brief review. Spectrum of Engineering and Management Sciences, 1(1), 25-37. https://doi.org/10.31181/sems1....
43.
Tompkins, J. A. (1998). The challenge of warehousing. The Warehouse Management Handbook, 6.
44.
Tsaur, S. H., & Chou, C. H. (2019). Selection of optimal suppliers in supply chain management under uncertain environments. International Journal of Production Research, 57(14), 4442-4459.
45.
Wang, Z., Chen, Q., & Liu, J. (2022). Evaluating sustainable development strategies in logistics with AHP: A case study from China. Journal of Cleaner Production, 332, 130079.
46.
Wang, X., Yang, H., & Liu, Z. (2020). Evaluating urban sustainable development based on AHP and entropy methods: Case study of Chinese cities. Sustainability, 12(7), 2958.
47.
Yu, Y., Wu, C., & Zhang, H. (2021). Application of AHP in assessing supply chain risks for Chinese SMEs under the Belt and Road Initiative. International Journal of Logistics Management, 32(2), 514-530.
48.
Zabielska, A., Jacyna, M., Lasota, M., & Nehring, K. (2023). Evaluation of the efficiency of the delivery process in the technical object of transport infrastructure with the application of a simulation model. Eksploatacja i Niezawodność, 25(1). https://doi.org/10.17531/ein.2....
49.
Zhang, H., Liu, P., & Li, L. (2019). An AHP-based risk assessment model for supply chain disruptions in the Chinese automotive industry. Journal of Cleaner Production, 234, 1234-1245.
50.
Zhang, L., & Chen, Y. (2021). AHP and fuzzy comprehensive evaluation approach for selecting eco-friendly logistics technology in China. Journal of Environmental Management, 288, 112491.
51.
Zhou, J., Xu, K., & Zhang, H. (2021). An AHP framework for prioritizing renewable energy sources in China's energy policy. Renewable Energy, 179, 912-922.
CITATIONS (2):
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
