Abstract
The operational optimization process applied to warehouses can lead to cost reductions by means of the correct positioning of the products. The definition of the product localization will determine the distance to be traveled to handle the materials and directly impact on warehousing costs. In this context, this article focuses on the positioning optimization of finished products in intelligent warehouses, which allows reducing the distance traveled and the order fulfillment time. The Analytic Hierarchy Process (AHP) was used for the optimization process. This technique consists in hierarchizing the products analyzed by employing pairwise comparisons through the judgment of their characteristics (size, fragility and weight). A simulated intelligent warehouse environment was used to analyze the results of allocation of the product based on AHP tool, where task were distributed for AGVs (Automated Guided Vehicle). As a result, a better positioning of the products and a reduction in the operation time of material handling were achieved.
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References
Bodin, L.D., et al.: Routing and scheduling of vehicles and crews: the state of the art. Int. J. of Computers and Op. Res. 10(2), 63–211 (1983)
Tinelli, L.M., Vivaldini, K.C.T., Becker, M.: Product Positioning using the ABC Method. In: Alfaro, S.C.A., Motta, J.M., Negri, V.J. (eds.) ABCM Symposium Series in Mechatronics, 1st edn., vol. 5, pp. 1–12. ABCM, Rio de Janeiro (2012)
Sarker, B.R., Diponegoro, A.: Optimal production plans and shipment schedules in a supply chain system with multiple suppliers and multiple buyers. Eur. J. Op. Res. 194(3), 753–773 (2009)
Chen, K.K., Chang, C.T.: A seasonal demand inventory model with variable lead time and resource constraints. Applied Mathematical Modelling 31(11), 2433–2445 (2007)
Gu, J., Goetschalckx, M., Mcginnis, L.F.: Research on warehouse operation: A comprehensive review. Eur. J. Op. Res. 177, 1–21 (2007)
Xu, J., Lim, A., Shen, C., Li, H.: A Heuristic Method for Online Warehouse Storage Assignment Problem. In: IEEE International Conference on Service Operations and Logistics, and informatics, pp. 1897–1902. IEEE Press, New York (2008)
Carlo, H.J., Giraldo, G.E.: Optimizing the rearrangement process in a dedicated warehouse. In: Ellis, K.P., Gue, K.R., De Koster, R.B.M., Meller, R.D., Montreuil, B., Ogle, M.K. (eds.) Progress in Material Handling Research, pp. 39–48 (2010)
Hackman, S.T., Rosenblatt, M.J.: Allocating items to an automated storage and retrieval system. IIE Transactions 22(1), 7–14 (1990)
Frazelle, E.H., Hackman, S.T., Passy, U., Platzman, L.K.: The forward-reserve problem. In: Ciriani, T.A., Leachman, R.C. (eds.) Optimization in Industry, vol. 2, John Wiley & Sons Ltd., New York (1994)
Frazelle, E.H., Sharp, G.P.: Correlated assignment strategy can improve any order-picking operation. Ind. Eng. 21(4), 33–37 (1989)
Frazelle, E.H.: Stock Location Assignment and Order Batching Productivity. Ph.D. Thesis, Georgia Institute of Technology, Atlanta. Georgia (1990)
Brynzér, H., Johansson, M.I.: Storage location assignment: Using the product structure to reduce order picking times. Int. J. Production Economics 46-47, 595–603 (1996)
Onüt, S., Tuzkaya, U.R., Dogac, B.: A particle swarm optimization algorithm for the multiple-level warehouse layout design problem. Computers & Industrial Engineering 54, 783–799 (2008)
Saaty, T.L.: A scaling method for priorities in hierarchical structures. J. Mathematical Psychology 15, 234–281 (1977)
Saaty, T., Vargas, L.G.: Models, Methods, Concepts and Applications of the Analytic Hierarchy Process. Kluwer, Boston (2001)
Office of the Deputy Prime Minister (ODPM, Government UK, 2004). DTLR multi−criteria analysis manual. Corporate Publication (2004), Internet: http://www.communities.gov.uk/index.asp?id=1142251
Vargas, R.V.: Using the Analytic Hierarchy Process (AHP) to Select and Prioritize Projects in a Portfolio. In: PMI Global Congress 2010, North American, Washington-DC (2010)
Saaty, T.L.: Relative Measurement and its Generalization in Decision Making: Why Pairwise Comparisons are Central in Mathematics for the Measurement of Intangible Factors: The Analytic Hierarchy/Network Process. Madrid: Rev. R. Acad. Cien. Serie A. Mat. 102(2), 251–318 (2008)
Saaty, T.L.: How to make a decision: The Analytic Hierarchy Process. Eur. J. Op. Res. 48, 9–26 (1990)
Saaty, T.L.: Decision making with the Analytic Hierarchy Process. Int. J. Services Sciences 1(1), 83–98 (2008)
Saaty, R.W.: The Analytic Hierarchy Process: What it is and how it is used? Mathematical Modelling, Great Britain 9(3-5), 161–176 (1987)
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Tinelli, L.M., Vivaldini, K.C.T., Becker, M. (2013). Intelligent Warehouse Product Position Optimization by Applying a Multi-criteria Tool. In: Neto, P., Moreira, A.P. (eds) Robotics in Smart Manufacturing. WRSM 2013. Communications in Computer and Information Science, vol 371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39223-8_13
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DOI: https://doi.org/10.1007/978-3-642-39223-8_13
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