Taxonomy of Material handling equipment selection methods at distribution centers
Main Article Content
The current paper presents a taxonomy of material-handling-equipment for distribution centers, based on a Systematic Literature Review of previous works on both Material Handling Equipment in real picking-intensive logistics contexts and the Decision Support Systems [DSS] employed to solve this type of problem. The current review work intends to sort the literature on the topic through a Material Handling Equipment taxonomy supported on a Systematic Literature Review. A historical appraisal of the problem is complemented by the corresponding synthesis, conclusions and future research perspectives. The current study presents an overall view of Material Handling Equipments in real picking-intensive logistics contexts and Decision Support Systems employed to solve this type of problem. New research perspectives and future recommendations aim at a more thorough integration with expert systems (or any more efficient hybrid method) for candidate equipment assessment and final selection. This could be done by using MCDM techniques like to Stochastic Multicriteria Aceptability Analysis [SMAA].
Apple, J. (1977). Plant Layout and Material Handling. John Wiley & Sons.
Atanasković, P., Gajić, V., Dadić, I., & Nikoličić, S. (2013). Selection of forklift unit for warehouse operation by applying multi-criteria análisis. Promet – Traffic & Transportation, 25(4), 379-386. https://doi.org/10.7307/ptt.v25i4.1338 DOI: https://doi.org/10.7307/ptt.v25i4.1338
Athawale, V., Chakraborty, S. (2011). Decision making for material handling equipment selection using ELECTRE II method. Journal of the Institution of Engineers (India), Part PR: Production Engineering Division, 91, 9-17. https://www.researchgate.net/publication/287524966_Decision_making_for_material_handling_equipment_selection_using_ELECTRE_II_method
Baker, P., Canessa, M. (2009). Warehouse design: A structured approach. European Journal of Operational Research, 193(2), 425-436. https://doi.org/10.1016/j.ejor.2007.11.045 DOI: https://doi.org/10.1016/j.ejor.2007.11.045
Bhattacharya, A., Sarkar, B., & Mukherjee, S. (2002). Material handling equipment selection under multi-criteria decision making (MCDM) environment. Industrial Engineering Journal, 31, 17-25. https://www.researchgate.net/publication/284791491_Material_handling_equipment_selection_under_multi-criteria_decision_making_MCDM_environment
Bookbinder, J., Gervais, D. (1992). Material-Handling Equipment Selection Via an Expert System. Journal of Business Logistics, 13(1), 149-172. https://ssrn.com/abstract=2801643
Braglia, M., Gabbrielli, R., & Micon, D. (2001). Material handling device selection in cellular manufacturing. Journal of Multi-Criteria Decision Analysis, 10(6), 303-315. https://doi.org/10.1002/mcda.310 DOI: https://doi.org/10.1002/mcda.310
Brans, J., Mareschal, B. (2005). PROMETHEE methods. Springer. DOI: https://doi.org/10.1007/0-387-23081-5_5
Chakraborty, S., Banik, D. (2006). Design of a material handling equipment selection model using analytic hierarchy process. The International Journal of Advanced Manufacturing Technology, 28, 1237-1245. https://doi.org/10.1007/s00170-004-2467-y DOI: https://doi.org/10.1007/s00170-004-2467-y
Chakraborty, S., Prasad, K. (2016). A QFD-based expert system for industrial truck selection in manufacturing organizations. Journal of Manufacturing Technology Management, 27(6), 800-817. https://doi.org/10.1108/JMTM-02-2016-0020 DOI: https://doi.org/10.1108/JMTM-02-2016-0020
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), 137-145. https://doi.org/10.1016/S0924-0136(01)01038-X DOI: https://doi.org/10.1016/S0924-0136(01)01038-X
Chittratanawat, S., Noble, J. S. (1999). An integrated approach for facility layout, P/D location and material handling system design. International Journal of Production Research, 37(3), 683-706. https://doi.org/10.1080/002075499191733 DOI: https://doi.org/10.1080/002075499191733
Cho, C., Egbelu, P. (2005). Design of a web-based integrated material handling system for manufacturing applications. International Journal of Production Research, 43(2), 375-403. https://doi.org/10.1080/0020754042000268866 DOI: https://doi.org/10.1080/0020754042000268866
Chu, H., Egbelu, P., & Wu, C. (1995). ADVISOR: A computer-aided material handling equipment selection system. International Journal of Production Research, 33(12), 3311-3329. https://doi.org/10.1080/00207549508904876 DOI: https://doi.org/10.1080/00207549508904876
Corrente, S., Figueira, J., & Greco, S. (2014). The SMAA-PROMETHEE method. European Journal of Operational Research, 239(2), 514-522. https://doi.org/10.1016/j.ejor.2014.05.026 DOI: https://doi.org/10.1016/j.ejor.2014.05.026
Cortés, P., Gómez-Montoya, R., Muñuzuri, J., & Correa-Espinal, A. (2017). A tabu search approach to solving the picking routing problem for large- and medium-size distribution centres considering the availability of inventory and K heterogeneous material handling equipment. Applied Soft Computing, 53, 61-73. https://doi.org/10.1016/j.asoc.2016.12.026 DOI: https://doi.org/10.1016/j.asoc.2016.12.026
Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19, 397-406. https://doi.org/10.1007/s10845-008-0091-7 DOI: https://doi.org/10.1007/s10845-008-0091-7
Deb, S., Bhattacharyya, B., & Sorkhel, S. (2002). Material Handling Equipment Selection by Fuzzy Multi-criteria Decision Making Methods, Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/3-540-45631-7_14 DOI: https://doi.org/10.1007/3-540-45631-7_14
Fisher, E., Farber, J., & Kay, M. (1988). Mathes: An expert system for material handling equipment selection. Engineering Costs and Production Economics, 14(4), 297-310. https://doi.org/10.1016/0167-188X(88)90034-1 DOI: https://doi.org/10.1016/0167-188X(88)90034-1
Fonseca, D., Uppal, G., & Greene, T. (2004). A knowledge-based system for conveyor equipment selection. Expert Systems with Applications, 26(4), 615-623. https://doi.org/10.1016/j.eswa.2003.12.011 DOI: https://doi.org/10.1016/j.eswa.2003.12.011
Frazelle, E. (2002). World-Class Warehousing and Material Handling. McGraw-Hill. http://img.yakaboo.ua/media/mediagallery/pdf/l/i/listalca_skladskoe_hranenie.pdf
Frazelle, E. (2003). Supply Chain Strategy, the Logistics of Supply Chain Management. McGraw-Hill. https://industri.fatek.unpatti.ac.id/wp-content/uploads/2019/03/144-Supply-Chain-Strategy-The-Logistics-of-Supply-Chain-Management-Edward-Frazelle-Edisi-1-2002.pdf
Gaur, A. V., Ronge, B. P. (2020). Ranking Material Handling Equipment Selection Criteria by AHP. In P. Pawar, B. Ronge, R. Balasubramaniam, A. Vibhute, S. Apte (Eds.), Techno-Societal 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-16962-6_18 DOI: https://doi.org/10.1007/978-3-030-16962-6_18
García-Cáceres, R. G., Araoz, J., & Palacios, F. (2009). Integral Analysis Method – IAM. European Journal of Operational Research, 192(3), 891-903. https://doi.org/10.1016/j.ejor.2007.10.001 DOI: https://doi.org/10.1016/j.ejor.2007.10.001
García-Cáceres, R. G., Escobar-Velasquez, J. (2016). Characterization of the supply chain problems. DYNA, 83(198), 68-78. http://dx.doi.org/10.15446/dyna.v83n198.44532 DOI: https://doi.org/10.15446/dyna.v83n198.44532
García-Cáceres R. G. (2020). Stochastic Multicriteria Acceptability Analysis – Matching (SMAA-M). Operational Research Perspectives, 7, 100145. https://doi.org/10.1016/j.orp.2020.100145 DOI: https://doi.org/10.1016/j.orp.2020.100145
Gray, A., Karmarkar, U., & Seidmann, A. (1992). Design and operation of an order-consolidation warehouse: Models and application. European Journal of Operational Research, 58(1), 14-36. https://doi.org/10.1016/0377-2217(92)90232-X DOI: https://doi.org/10.1016/0377-2217(92)90232-X
Gu, J., Goetschalckx, M., & McGinnis, L. (2007). Research on warehouse operation: A comprehensive review. European Journal of Operational Research, 177(1), 1-21. https://doi.org/10.1016/j.ejor.2006.02.025 DOI: https://doi.org/10.1016/j.ejor.2006.02.025
Gu, J., Goetschalckx, M., & McGinnis, L. (2010). Research on warehouse design and performance evaluation: A comprehensive review. European Journal of Operational Research, 203(3), 539-549. https://doi.org/10.1016/j.ejor.2009.07.031 DOI: https://doi.org/10.1016/j.ejor.2009.07.031
Haidar, A., Naoum, S., Howes, R., & Tah, J. (1999). Genetic Algorithms Application and Testing for Equipment Selection. Journal of Construction Engineering and Management, 125(1), 32-38. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:1(32) DOI: https://doi.org/10.1061/(ASCE)0733-9364(1999)125:1(32)
Hadi-Vencheh, A., Mohamadghasemi, A. (2015). A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problema. International Journal of Computer Integrated Manufacturing, 28(5), 534-550. https://doi.org/10.1080/0951192X.2014.880948 DOI: https://doi.org/10.1080/0951192X.2014.880948
Hafezalkotob, A., Hami-Dindar, A., Rabie, N., & Hafezalkotob, A. (2018). A decision support system for agricultural machines and equipment selection: A case study on olive harvester machines. Computers and Electronics in Agriculture, 148(1), 207-216. https://doi.org/10.1016/j.compag.2018.03.012 DOI: https://doi.org/10.1016/j.compag.2018.03.012
Hassan, M., Hogg, G., & Smith, D. (1985). A construction algorithm for the selection and assignment of materials handling equipment. International Journal of Production Research, 23(2), 381-392. https://doi.org/10.1080/00207548508904715 DOI: https://doi.org/10.1080/00207548508904715
Hassan, M. (2010). A framework for selection of material handling equipment in manufacturing and logistics facilities. Journal of Manufacturing Technology Management, 21(2), 246-268. https://doi.org/10.1108/17410381011014396 DOI: https://doi.org/10.1108/17410381011014396
Hassan, M. (2014). An evaluation of input and output of expert systems for selection of material handling equipment. Journal of Manufacturing Technology Management, 25(7), 1049-1067. https://doi.org/10.1108/JMTM-08-2012-0077 DOI: https://doi.org/10.1108/JMTM-08-2012-0077
Higginson, J., Bookbinder, J. (2005). Distribution Centres in Supply Chain Operations. Springer Science + Business Media. https://doi.org/10.1007/0-387-24977-X_3 DOI: https://doi.org/10.1007/0-387-24977-X_3
Hokkanen, J., Lahdelma, R., Miettinen, K., & Salminen, P. (1998). Determining the implementation order of a general plan by using a multicriteria method. Journal of Multi-Criteria Decision Analysis, 7(5), 273-284. https://doi.org/10.1002/(SICI)1099-1360(199809)7:5<273::AID-MCDA198>3.0.CO;2-1 DOI: https://doi.org/10.1002/(SICI)1099-1360(199809)7:5<273::AID-MCDA198>3.0.CO;2-1
Holzapfel, A., Kuhn, H., & Sternbeck, M. (2016). Product allocation to different types of distribution center in retail logistics networks. European Journal of Operational Research, 264(3), 948-966. https://doi.org/10.1016/j.ejor.2016.09.013 DOI: https://doi.org/10.1016/j.ejor.2016.09.013
Hosni, Y. (1989). Inference engine for material handling selection. Computers & Industrial Engineering, 17(1-4), 79-84. https://doi.org/10.1016/0360-8352(89)90040-5 DOI: https://doi.org/10.1016/0360-8352(89)90040-5
Hosseini, S., Seifbarghy, M. (2016). A novel meta-heuristic algorithm for multi-objective dynamic facility layout problema. RAIRO - Operations Research, 50(4-5), 869-890. https://doi.org/10.1051/ro/2016057 DOI: https://doi.org/10.1051/ro/2016057
Ioannou, G. (2007). An integrated model and a decomposition-based approach for concurrent layout and material handling system design. Computers & Industrial Engineering, 52(4), 459-485. https://doi.org/10.1016/j.cie.2007.02.003 DOI: https://doi.org/10.1016/j.cie.2007.02.003
Jato-Espino D., Castillo-Lopez E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. (2014). A review of application of multi-criteria decision making methods in construction. Automation in Construction, 45, 151-162. https://doi.org/10.1016/j.autcon.2014.05.013 DOI: https://doi.org/10.1016/j.autcon.2014.05.013
Jiamruangjarus, P., Naenna, T. (2016). An integrated multi-criteria decision-making methodology for conveyor system selection. Cogent Engineering, 3(1). https://doi.org/10.1080/23311916.2016.1158515 DOI: https://doi.org/10.1080/23311916.2016.1158515
Karande, P., Chakraborty, S. (2013). Material handling equipment selection using weighted utility additive theory. Journal of Industrial Engineering, 2013, 1-9. https://doi.org/10.1155/2013/268708 DOI: https://doi.org/10.1155/2013/268708
Khandekar, A., Chakraborty, S. (2015). Selection of Material Handling Equipment using Fuzzy Axiomatic Design Principles. Informatica, 26(2), 259-282. https://doi.org/10.15388/Informatica.2015.48 DOI: https://doi.org/10.15388/Informatica.2015.48
Keeney, R., Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Wiley. https://doi.org/10.1017/CBO9781139174084 DOI: https://doi.org/10.1017/CBO9781139174084
Kildienė, S., Zavadskas, E., & Tamošaitienė, J. (2014). Complex assessment model for advanced technology deployment. Journal of Civil Engineering and Management, 20(2), 280-290. https://doi.org/10.3846/13923730.2014.904813 DOI: https://doi.org/10.3846/13923730.2014.904813
Komljenovic, D., Kecojevic, V. (2009). A Multi-attribute selection method for materials handling equipment. International Journal of Industrial and Systems Engineering, 4(2), 151-173. https://www.inderscienceonline.com/doi/abs/10.1504/IJISE.2009.02237 DOI: https://doi.org/10.1504/IJISE.2009.022370
Kulak, O. (2005). A decision support system for fuzzy multi-attribute selection of material handling equipments. Expert Systems with Applications, 29(2), 310-319. https://doi.org/10.1016/j.eswa.2005.04.004 DOI: https://doi.org/10.1016/j.eswa.2005.04.004
Lahdelma, R., Salminen, P. (2001). SMAA- 2: Stochastic Multicriteria Acceptability Analysis for group decision making. Operations Research, 49(3), 444-454. https://doi.org/10.1287/opre.49.3.444.11220 DOI: https://doi.org/10.1287/opre.49.3.444.11220
Lahdelma, R., Miettinen, K., & Salminen, P. (2003). Ordinal criteria in Stochastic multicriteria acceptability análisis. European Journal of Operational Research, 147(1), 117-127. https://doi.org/10.1016/S0377-2217(02)00267-9 DOI: https://doi.org/10.1016/S0377-2217(02)00267-9
Lahdelma, R., Salminen, P., & Hokkanen, J. (2002). Locating a waste treatment facility by using stochastic multicriteria acceptability analysis with ordinal criterio. European Journal of Operational Research, 142(2), 345-356. https://doi.org/10.1016/S0377-2217(01)00303-4 DOI: https://doi.org/10.1016/S0377-2217(01)00303-4
Lashkari, R., Boparai, R., & Paulo, J. (2004). Towards an integrated model of operation allocation and material handling selection in cellular manufacturing systems. International Journal of Production Economics, 87, (2), 115-139. https://doi.org/10.1016/S0925-5273(03)00097-5 DOI: https://doi.org/10.1016/S0925-5273(03)00097-5
Lashgari, A., Yazdani–Chamzini, A., Fouladgar, M., Zavadskas, E., Shafiee, S., & Abbate, N. (2012). Equipment Selection Using Fuzzy Multi Criteria Decision Making Model: Key Study of Gole Gohar Iron Mine. Inzinerine Ekonomika-Engineering Economics, 23(2), 125-136. https://doi.org/10.5755/j01.ee.23.2.1544 DOI: https://doi.org/10.5755/j01.ee.23.2.1544
Lin, C., Wang, W., & Yu, W. (2008). Improving AHP for construction with an adaptive AHP approach (A3). Automation in Construction, 17(2), 180-187. https://doi.org/10.1016/j.autcon.2007.03.004 DOI: https://doi.org/10.1016/j.autcon.2007.03.004
Luong, L. (1998). A decision support system for the selection of computer-integrated manufacturing technologies. Robotics and Computer-Integrated Manufacturing, 14(1), 45-53. https://doi.org/10.1016/S0736-5845(97)00026-4 DOI: https://doi.org/10.1016/S0736-5845(97)00026-4
Manzini, R. (2012). Warehousing in the Global Supply Chain. Springer- Verlag. https://link.springer.com/book/10.1007/978-1-4471-2274-6 DOI: https://doi.org/10.1007/978-1-4471-2274-6
Mathew, M., Chakrabortty, R. K., & Ryan, M. J. (2020). A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection. Engineering Applications of Artificial Intelligence, 96, 103988. https://doi.org/10.1016/j.engappai.2020.103988 DOI: https://doi.org/10.1016/j.engappai.2020.103988
Matson, J., Mellichamph, J., & Swaminathan, S. (1992). EXCITE: Expert consultant for in-plant transportation equipment. International Journal of Production Research, 30(8), 1969-1983. https://doi.org/10.1080/00207549208948133 DOI: https://doi.org/10.1080/00207549208948133
Mirhosseyni, H., Webb, P. (2009). A Hybrid Fuzzy Knowledge-Based Expert System and Genetic Algorithm for efficient selection and assignment of Material Handling Equipment. Expert Systems with Applications, 36(9), 11875-11887. https://doi.org/10.1016/j.eswa.2009.04.014 DOI: https://doi.org/10.1016/j.eswa.2009.04.014
Momani, A., Ahmed, A. (2011). Material Handling Equipment Selection using hybrid Monte Carlo simulation and Analytic Hierarchy Process. World Academy of Science, Engineering and Technology International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 5(11), 2177-2182. https://doi.org/10.5281/zenodo.1085141
Mousavi, S., Vahdani, B., Tavakkoli-Moghaddam, R., & Tajik, N. (2014). Soft computing based on a fuzzy grey group compromise solution approach with an application to the selection problem of material handling equipment. International Journal of Computer Integrated Manufacturing, 27(6), 547-569. https://doi.org/10.1080/0951192X.2013.834460 DOI: https://doi.org/10.1080/0951192X.2013.834460
Muther, R. (1981). Distribución en Planta, ordenación racional de los elementos de producción industrial (4th ed.), Hispano Europea S.A. https://www.iberlibro.com/Distribución-planta-Ordenación-racional-elementos-producción/20328534437/bd
Okul, D., Gencer, C., & Aydogan, E. (2014). A Method Based on SMAA-Topsis for Stochastic Multi-Criteria Decision Making and a Real-World Application. International Journal of Information Technology & Decision Making, 13(5), 957-978. https://doi.org/10.1142/S0219622014500175 DOI: https://doi.org/10.1142/S0219622014500175
Onut, S., Kara, S., & Mert, S. (2009). Selecting the suitable material handling equipment in the presence of vagueness. The International Journal of Advanced Manufacturing Technology, 44, 818-828. https://doi.org/10.1007/s00170-008-1897-3 DOI: https://doi.org/10.1007/s00170-008-1897-3
Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028. https://doi.org/10.1016/j.eswa.2014.11.057 DOI: https://doi.org/10.1016/j.eswa.2014.11.057
Park, Y. (1996). ICMESE: Intelligent Consultant System for Material Handling Equipment Selection and Evaluation. Journal of Manufacturing Systems, 15(5), 325-333. https://doi.org/10.1016/0278-6125(96)84195-1 DOI: https://doi.org/10.1016/0278-6125(96)84195-1
Patel, S., Chourasiya, R., & Dixit, V. (2016). Material Handling Equipment Selection for a Galvanizing Steel Industry using Combined AHP-GRA Mode. International Journal of Scientific Research in Science, Engineering and Technology, 2(2), 228-238. https://ijsrset.com/IJSRSET162272
Prasad, K., Zavadskas, E., & Chakraborty, S. (2015). A software prototype for material handling equipment selection for construction sites. Automation in Construction, 57, 120-131. https://doi.org/10.1016/j.autcon.2015.06.001 DOI: https://doi.org/10.1016/j.autcon.2015.06.001
Raman, D., Nagalingam, S., Gurd, B., & Lin, G. (2009). Quantity of Material Handling Equipment – A Queuing Theory based Approach. Robotics and Computers – Integrating Manufacturing, 25(2), 348-357. https://doi.org/10.1016/j.rcim.2008.01.004 DOI: https://doi.org/10.1016/j.rcim.2008.01.004
Riopel, D., Langevin, A., & Campbell, J. (2005). The Network of Logistics Decisions. Springer Science + Business Media. https://doi.org/10.1007/0-387-24977-X_1 DOI: https://doi.org/10.1007/0-387-24977-X_1
Rouwenhorst, B., Reuter, B., Stockrahm, V., Van Houtum, G., Mantel R., & Zijm, W. (2000). Warehouse design and control: Framework and literature review. European Journal of Operational Research, 122(3), 515-533. https://doi.org/10.1016/S0377-2217(99)00020-X DOI: https://doi.org/10.1016/S0377-2217(99)00020-X
Roy, B. (1996). Multicriteria Methodology for Decision Analysis. Kluwer Academic Publishers. https://link.springer.com/book/10.1007/978-1-4757-2500-1
Rudenko, N. (1971). Materials Handling Equipment. Peace Publishers. https://books.google.com.co/books/about/Materials_Handling_Equipment.html?id=E4JptgAACAAJ&redir_esc=y
Rushton, A., Croucher, P., & Baker, P. (2006). The Handbook of Logistics and Distribution Management (3rd ed.). Kogan Page. https://industri.fatek.unpatti.ac.id/wp-content/uploads/2019/03/149-The-Handbook-of-Logistics-and-Distribution-Management-Understanding-the-Supply-Chain-Alan-Rushton-Phil-Croucher-Peter-Baker-Edisi-1-2014.pdf
Santelices, G., Pascual, R., Lüer-Villagra, A., Mac-Cawley, A., & Galar, D. (2015). Integrating mining loading and hauling equipment selection and replacement decisions using stochastic linear programming. International Journal of Mining, Reclamation and Environment, 31(1), 52-65. https://doi.org/10.1080/17480930.2015.1115589 DOI: https://doi.org/10.1080/17480930.2015.1115589
Saputro, T., Masudin, I., & Rouyendegh, B. (2015). A literature review on MHE selection problem: levels, contexts, and approaches. International Journal of Production Research, 53(17), 5139-5152. https://doi.org/10.1080/00207543.2015.1005254 DOI: https://doi.org/10.1080/00207543.2015.1005254
Saputro, T., Erdebilli, B. (2016). A hybrid approach for selecting material handling equipment in a warehouse. International Journal of Management Science and Engineering Management, 11(1), 34-48. https://doi.org/10.1080/17509653.2015.1042535 DOI: https://doi.org/10.1080/17509653.2015.1042535
Sawant, V., Mohite, S. (2013). A composite weight based multiple attribute decision support system for the selection of automated guided vehicles. International Journal of Computer Applications, 70(19), 8-16. https://citeseerx.ist.psu.edu/viewdoc/oad?doi=10.1.1.403.341&rep=rep1&type=pdf DOI: https://doi.org/10.5120/12173-8222
Shapira, A., Goldenberg, M. (2005). AHP-Based Equipment Selection Model for Construction Projects. Journal of Construction Engineering and Management, 131(12), 1263-1273. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:12(1263) DOI: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:12(1263)
Skibniewski, M., Chao, L. (1992). Evaluation of advanced construction technology with AHP method. Journal of Construction Engineering and Management, 118(3), 577-593. https://doi.org/10.1061/(ASCE)0733-9364(1992)118:3(577) DOI: https://doi.org/10.1061/(ASCE)0733-9364(1992)118:3(577)
Sujono, S., Lashkari, R. (2007). A multi-objective model of operation allocation and material handling system selection in FMS design. International Journal of Production Economics, 105(1), 116-133. https://doi.org/10.1016/j.ijpe.2005.07.007 DOI: https://doi.org/10.1016/j.ijpe.2005.07.007
Sule, D. (2001). Instalaciones de Manufactura, Ubicación, Planeación y Diseño. Thomson Learning. https://books.google.com.co/books/about/Instalaciones_de_manufactura.html?id=NXCsAAAACAAJ
Tervonen, T., Lahdelma, R. (2007). Implementing Stochastic Multicriteria Acceptability Analysis. European Journal of Operational Research, 178(2), 500-513. https://doi.org/10.1016/j.ejor.2005.12.037 DOI: https://doi.org/10.1016/j.ejor.2005.12.037
Tervonen, T., Figueira, J., Lahdelma, R., Almeida-Dias, J., & Salminen, P. (2009). A stochastic method for robustness analysis in sorting problems. European Journal of Operational Research, 192(1), 236-242. https://doi.org/10.1016/j.ejor.2007.09.008 DOI: https://doi.org/10.1016/j.ejor.2007.09.008
Tompkins, J., White, J., Bozer, Y., & Tanchoco, J. (2010). Facilities Planning. John Wiley & Sons Inc. https://books.google.com.co/books/about/Facilities_Planning.html?hl=es&id=-xBIq6Qm2SQC&redir_esc=y
Tejesh, B., Neeraja, S. (2018). Warehouse inventory management system using IoT and open source framework. Alexandria Engineering Journal, 57(4), 3817-3823. https://doi.org/10.1016/j.aej.2018.02.003. DOI: https://doi.org/10.1016/j.aej.2018.02.003
Temiz, I., Calis, G. (2017). Selection of Construction Equipment by using Multi-criteria Decision Making Methods. Procedia Engineering, 196, 286-293. https://doi.org/10.1016/j.proeng.2017.07.201 DOI: https://doi.org/10.1016/j.proeng.2017.07.201
Tom, D., Paul, M., Oliver, O., & Jan, K. (2020). Manufacturing System Optimization with Lean Methods, Manufacturing Process Objectives and Fuzzy Logic Controller Design. Procedia CIRP, 93, 658-663. https://doi.org/10.1016/j.procir.2020.04.145 DOI: https://doi.org/10.1016/j.procir.2020.04.145
Tuzkaya, G., Gülsün, B., Kahraman, C., & Özgen, D. (2010). An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications, 37(4), 2853-2863. https://doi.org/10.1016/j.eswa.2009.09.004 DOI: https://doi.org/10.1016/j.eswa.2009.09.004
Ulubeyli, S., Kazaz, A. (2009). A multiple criteria decision‐making approach to the selection of concrete pumps. Journal of Civil Engineering and Management, 15(4), 369-376. https://doi.org/10.3846/1392-3730.2009.15.369-376 DOI: https://doi.org/10.3846/1392-3730.2009.15.369-376
Valli, P., Jeyasehar, C. (2012). Genetic Algorithm based Equipment Selection Method for Construction Project using Matlab Tool. International Journal of Optimization in Civil Engineering, 2(2), 235-246. http://pga.iust.ac.ir/ijoce/article-1-89-fa.pdf
Van Den Berg, J., Zijm, W. (1999). Models for warehouse management: Classification and examples. International Journal of Production Economics, 59(1-3), 519-528. https://doi.org/10.1016/S0925-5273(98)00114-5 DOI: https://doi.org/10.1016/S0925-5273(98)00114-5
Varun, S., Harshita, R., Pramod, S., & Nagaraju, D. (7-9 July 2016). Evaluation and selection of material handling equipment in iron and steel industry using analytic hierarchy process. Frontiers in Automobile and Mechanical Engineering, IOP Conf. Series: Materials Science and Engineering (vol. 197), Sathyabama University, Chennai, India. https://doi.org/10.1088/1757-899X/197/1/012060 DOI: https://doi.org/10.1088/1757-899X/197/1/012060
Velury, J., Kennedy, W. (1992). A systematic procedure for the selection of bulk material handling equipment. International Journal of Production Economics, 27(3), 233-240. https://doi.org/10.1016/0925-5273(92)90097-Q DOI: https://doi.org/10.1016/0925-5273(92)90097-Q
Welgama, P., Gibson, P. (1995). A hybrid knowledge based/optimization System for automated selection of Materials handling system. Computers & Industrial Engineering, 28(2), 205-217. https://doi.org/10.1016/0360-8352(94)00200-7 DOI: https://doi.org/10.1016/0360-8352(94)00200-7
Welgama, P., Gibson, P. (1996). An integrated methodology for automating the determination of layout and materials handling system. International Journal of Production Research, 34(8), 2247-2264. https://doi.org/10.1080/00207549608905023 DOI: https://doi.org/10.1080/00207549608905023
West, T., Amundsoma, A., & Randhawaa, S. (1993). Evaluation of alternative materials handling systems. Computers & Industrial Engineering, 25(1-4), 187-190. https://doi.org/10.1016/0360-8352(93)90252-S DOI: https://doi.org/10.1016/0360-8352(93)90252-S
Xiao, Y., Watson, M. (2019). Guidance on Conductiong a Systematic Literature Review. Journal of Planning Education and Research, 39(1), 93-112. https://doi.org/10.1177/0739456X17723971 DOI: https://doi.org/10.1177/0739456X17723971
Xu, X. (2001). The SIR method: A superiority and inferiority ranking method for multiple criteria decision making. European Journal of Operational Research, 131(3), 587-602. https://doi.org/10.1016/S0377-2217(00)00101-6 DOI: https://doi.org/10.1016/S0377-2217(00)00101-6
Yazdani-Chamzini, A. (2014). An integrated fuzzy multi-criteria group decision-making model for handling equipment selection. Journal of Civil Engineering and Management, 20(5), 660-673. https://doi.org/10.3846/13923730.2013.802714 DOI: https://doi.org/10.3846/13923730.2013.802714
Yener, F., Yazgan, H. (2019). Optimal Warehouse Design: Literature Review and Case Study Application. Computers & Industrial Engineering, 129, 1-13. https://doi.org/10.1016/j.cie.2019.01.006 DOI: https://doi.org/10.1016/j.cie.2019.01.006
Zakarya, S., Pierre, D., & Zakaria, Y. (2021). A methodology for the selection of Material Handling Equipment in manufacturing systems. IFAC-PapersOnLine, 54(1), 122-127. https://doi.org/10.1016/j.ifacol.2021.08.193 DOI: https://doi.org/10.1016/j.ifacol.2021.08.193
Ziai, M., Sule, D. (1989). Computerized materials handling and facility layout design. Computers & Industrial Engineering, 17(1-4), 55-60. https://doi.org/10.1080/00207548508904715 DOI: https://doi.org/10.1016/0360-8352(89)90036-3
- Tatiana Paola Salamanca Gómez , Rafael Guillermo García-Cáceres, Anny Astrid Espitia-Cubillos, Logistic characterization of the dairy supply chain , Cuadernos de Administración: Vol. 39 No. 77 (2023)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.