Guidelines for technology selection in intralogistics: a scientific approach

Mladen Božić; Dragan B.  Đurđević; Svetlana A.  Dabić-Miletić

doi:10.5937/vojtehg72-52236

Mladen Božić Univerzitet u Beogradu, Saobraćajni fakultet, Beograd, Republika Srbija https://orcid.org/0000-0002-2313-2343
Dragan B. Đurđević Univerzitet u Beogradu, Saobraćajni fakultet, Beograd, Republika Srbija https://orcid.org/0000-0001-5918-1625
Svetlana A. Dabić-Miletić Univerzitet u Beogradu, Saobraćajni fakultet, Beograd, Republika Srbija https://orcid.org/0000-0002-9316-0817

DOI: https://doi.org/10.5937/vojtehg72-52236

Ključne reči: intralogistika, izbor MHE, pretovar, unutrašnji transport, proizvodnja

Sažetak

Uvod/cilj: Intralogistika obuhvata organizaciju, kontrolu, realizaciju i optimizaciju tokova materijala i informacija unutar tehnološke zaokružene celine. Ključnu ulogu u oblikovanju intralogističkih sistema ima izbor i primena odgovarajuće tehnologije rukovanja materijalima (MHE). Cilj ovog rada jeste definisanje smernica za izbor MHE, oslanjanjem na naučna istraživanja. Za njegovu realizaciju primenjena je metodologija koja se sastoji od nekoliko osnovnih koraka.

Metode: Početni korak obuhvata analizu tri tipične grupe zadataka u (intra)logističkim sistemima: pretovaru, unutrašnjem transportu i aktivnostima u proizvodnji. Analiza je posvećena identifikaciji i opisu ključnih parametara zadatka, kao što su: pojavni oblik robe, količina, intenzitet robnog toka, mesto i vreme nastanka i završetak zadatka. Zatim, sledi korak posvećen analizi relevantnih naučnih istraživanja. Literatura je pretraživana prema određenim kriterijumima, kao što su godine objavljivanja, ključne reči i broj citata, na osnovu kojih je formirana baza relevantnih radova.

Rezultati: Fokus analize bio je na identifikaciji i povezivanju parametara praktičnih zadataka sa zadacima opisanim u literaturi, kao i na karakteristikama korišćenih MHE, kako bi se omogućio izbor odgovarajućih MHE za te zadatke.

Zaključak: U trećem koraku posmatrani zadatak se klasifikuje prema standardnim tipovima zadataka iz literature.

Reference

Agarwal, D. & Bharti, P.S. 2022. A case study on AGV’s alternatives selection problem. International Journal of Information Technology, 14, pp.1011-1023. Available at: https://doi.org/10.1007/s41870-018-0223-z.

Apple, J.M. 1977. Plant Layout and Material Handling. John Wiley & Sons. ISBN: 9780826005014.

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), pp.235-256. Available at: https://doi.org/10.22190/FUME220620039C.

Chan, F.T.S., Ip, R.W.L. & Lau, H. 2001. Integration of expert system with analytic hierarchy process for the design of material handling equipment selection system. Journal of Materials Processing Technology, 116(2-3), pp.137-145. Available at: https://doi.org/10.1016/S0924-0136(01)01038-X.

Chatterjee, S. & Chakraborty, S. 2023. Application of the R method in solving material handling equipment selection problems. Decision Making: Applications in Management and Engineering, 6(2), pp.74-94. Available at: https://doi.org/10.31181/dmame622023391.

Fonseca, D.J., Uppal, G. & Greene, T.J. 2004. A knowledge-based system for conveyor equipment selection. Expert Systems with Applications, 26(4), pp.615-623. Available at: https://doi.org/10.1016/j.eswa.2003.12.011.

Fottner, J., Clauer, D., Hormes, F., Freitag, M., Beinke, T., Overmeyer, L., Gottwald, S.N., Elbert, R., Sarnow, T., Schmidt, T., Reith, K.B., Zadek. H. & Thomas, F. 2021. Autonomous Systems in Intralogistics – State of the Art and Future Research Challenges. Journal LOGISTICS RESEARCH, 14(2), pp.1-41. Available at: https://doi.org/10.23773/2021_2.

Goswami, S.S., Behera, D.K., Afzal, A., Razak Kaladgi, A., Khan, S.A., Rajendran, P., Subbiah, R. & Asif, M. 2021. Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS. Symmetry, 13(8), art.number:1331. Available at: https://doi.org/10.3390/sym13081331.

Horňáková, N., Jurík, L., Hrablik Chovanová, H., Cagáňová, D. & Babčanová, D. 2021. AHP method application in selection of appropriate material handling equipment in selected industrial enterprise. Wireless Networks, 27(3), pp.1683-1691. Available at: https://doi.org/10.1007/s11276-019-02050-2.

Huskanović, E., Stević, Ž. & Simić, S. 2023. Objective-Subjective CRITIC-MARCOS Model for Selection Forklift in Internal Transport Technology Processes. Mechatronics and Intelligent Transportation Systems, 2(1), pp.20-31. Available at: https://doi.org/10.56578/mits020103.

Jusufbašić, A. 2023. MCDM Methods for Selection of Handling Equipment in Logistics: A Brief Review. Spectrum of Engineering and Management Sciences, 1(1), pp.13-24. Available at: https://doi.org/10.31181/sems1120232j.

Kartnig, G., Grösel, B. & Zrnic, N. 2012. Past, state-of-the-art and future of intralogistics in relation to megatrends. FME Transactions, 40(4), pp.193-200 [online]. Available at: https://www.mas.bg.ac.rs/_media/istrazivanje/fme/vol40/4/7_gkartnig.pdf [Accessed: 15 July 2024].

Kučera, T. 2020. Selection of Handling Equipment in Warehouse Using Multi-Criteria Decision-Making. In: Proceedings of 24th International Scientific Conference Transport Means, Online Conference - Kaunas, Lithuania, pp.114-118, September 30 – October 02 [online]. Available at: https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-means-A4-I-dalis.pdf [Accessed: 15 July 2024].

Kulweic, R.A. 1991. Materials Handling Handbook, 2nd Edition, John Wiley & Sons. ISBN: 978-0-471-09782-2.

Mathew, M. & Sahu, S. 2018. Comparison of new multi-criteria-decision-making methods for material handling equipment selection. Management Science Letters, 8(3), pp.139-150. Available at: https://doi.org/10.5267/j.msl.2018.1.004.

Overmeyer, L., Ventz, K., Falkenberg, S. & Krühn, T. 2009. Interfaced multidirectional small-scaled modules for intralogistics operations. Logistics Journal, 01 [online]. Available at: https://www.logistics-journal.de/archive/archive/2009/2094 [Accessed: 15 July 2024].

Průša, P., Jovčić, S., Němec, V. & Mrázek, P. 2018. Forklift truck selection using TOPSIS method. International Journal for Traffic and Transport Engineering, 8(3) pp.390-398. Available at: https://doi.org/10.7708/ijtte.2018.8(3).10.

Saputro, T.E., Masudin, I. & Daneshvar Rouyendegh, B. 2015. A literature review on MHE selection problem: levels, contexts, and approaches. International Journal of Production Research, 53(17), pp.5139-5152. Available at: https://doi.org/10.1080/00207543.2015.1005254.

Sharp, G., Wan, Y.-T., McGinnis, L.F., Goetschalckx, M., Bodner, D., Govindaraj, T., Ram, B. & Everette, J. 2021. A Structured Approach to Material Handling System Selection and Specification for Manufacturing. Academia.edu [online]. Available at: https://www.academia.edu/18955739/A_Structured_Approach_to_Material_Handling_System_Selection_and_Specification_for_Manufacturing [Accessed: 15 July 2024].

Shchemeleva, Y.B. 2022. Selection of Conveyor Equipment as a Multicriteria Task. In: Radionov, A.A. & Gasiyarov, V.R. (Eds.) Proceedings of the 7th International Conference on Industrial Engineering (ICIE 2021). Lecture Notes in Mechanical Engineering, pp.496-503. Cham: Springer. Available at: https://doi.org/10.1007/978-3-030-85230-6_58.

Simic, V., Dabic-Miletic, S., Tirkolaee, E.B., Stević, Ž., Ala, A. & Amirteimoori, A. 2023. Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems. Applied Soft Computing, 143, art.number:110400. Available at: https://doi.org/10.1016/j.asoc.2023.110400.

Soufi, Z., David, P. & Yahouni, Z. 2021. A methodology for the selection of Material Handling Equipment in manufacturing systems. IFAC-PapersOnLine, 54(1), pp.122-127. Available at: https://doi.org/10.1016/j.ifacol.2021.08.193.

Sretenović, M. 1996. Mehanizacija pretovara: pretovarne mašine i projektovanje pretovarnih procesa. Belgrade, Serbia: University of Belgrade (in Serbian).

Tadić, S., Krstić, M., Dabić-Miletić, S. & Božić, M. 2023. Smart Material Handling Solutions for City Logistics Systems. Sustainability, 15(8), art.number:6693. Available at: https://doi.org/10.3390/su15086693.

Taş, Ü. 2023. Case Study of Intralogistics in the Framework of Logistics 4.0. International Journal of Automotive Science and Technology, 7(1), pp.18-24. Available at: https://doi.org/10.30939/ijastech..1215381.

Telek, P. 2016. Material flow relations in the design process of materials handling. Advanced Logistic Systems - Theory and Practice, 10(1), pp.53-64.

Telek, P. & Cservenák, Á. 2020. Planning of material handling–literature review. Advanced Logistic Systems - Theory and Practice, 13(2), pp.29-44. Available at: https://doi.org/10.32971/als.2020.003.

Tompkins, J.A., White, J.A., Bozer, Y.A. & Tanchoco, J.M.A. 2010. Facilities planning, 4th Edition. Wiley. ISBN: 978-0470444047.

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), art.number:467. Available at: https://doi.org/10.3390/axioms12050467.

Uyanık, G.K. & Güler, N. 2013. A Study on Multiple Linear Regression Analysis. Procedia - Social and Behavioral Sciences, 106, pp.234-240. Available at: https://doi.org/10.1016/j.sbspro.2013.12.027.

Voćkić, M., Stojić, G. & Stević, B. 2018. Integrated rough SWARA-ARAS model for selection of electric forklift. In: ICMNEE 2018 The 2nd International Conference on Management, Engineering and Environment, Belgrade, Serbia, pp.216-227, October 11-12.

Vukićević, S.1995. Skladišta. Belgrade, Serbia: Preving (in Serbian).

Yazid, N.A., Sabtu, N.I., Azmiral, N.U.S. & Mahad, N.F. 2023. The application of critic-topsis method in solving the material handling equipment selection problem. Malaysian Journal of Computing, 8(1), pp.1311-1330 [online]. Available at: https://mjoc.uitm.edu.my/main/index.php/journal/29-volume-7-2-2022/176-vol-8-1-1311 [Accessed: 15 July 2024].

Yousefifar, R., Popp, J., Beyer, T. & Wehking, K.-H. 2015. Adaptive Intra-Logistics. In: Kersten, W., Blecker, T. & Ringle, C.M. (Eds.) Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg International Conference of Logistics (HICL), 20, pp.285-304. Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management. Available at: https://doi.org/10.15480/882.1264.

Zajac, P. & Rozic, T. 2022. Energy consumption of forklift versus standards, effects of their use and expectations. Energy, 239(Part D), art.number:122187. Available at: https://doi.org/10.1016/j.energy.2021.122187.

Zavadskas, E.K., Nunić, Z., Stjepanović, Ž. & Prentkovskis, O. 2018. A Novel Rough Range of Value Method (R-ROV) for Selecting Automatically Guided Vehicles (AGVs). Studies in informatics and Control, 27(4), pp.385-394. Available at: https://doi.org/10.24846/v27i4y201802.

Zrnić, N.Đ., Popović, T.M., Milojević, G.Z. & Kosanić, N.Ž. 2021. A Survey of Research on Industry 4.0 in Intralogistics. In: Proceedings of X Triennial International Conference Heavy Machinery HM 2021, Vrnjačka Banja, Serbia, pp.B.1-B.8, June 23-25 [online]. Available at: http://www.hm.kg.ac.rs./documents/HM2021-Proceedings.pdf [Accessed: 15 July 2024].

Zubair, M., Maqsood, S., Omair, M. & Noor, I. 2019. Optimization of material handling system through material handling equipment selection. International Journal of Progressive Sciences and Technologies,15(2), pp.235-243 [online]. Available at: https://ijpsat.org/index.php/ijpsat/article/view/1157 [Accessed: 15 July 2024].

Smernice za izbor tehnologije u intralogistici, zasnovane na naučnim istraživanjima

Sažetak

Reference

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