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Restructuring picking and restocking processes on a hypermarket

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Języki publikacji
EN
Abstrakty
EN
The purpose of this paper is to identify challenges and opportunities for exploring Lean approaches in managing instore logistics processes of a hypermarket, wherein data collection made to quantify the state of the system, methods, and instruments will be applied to improve picking and restocking processes between the two main stock areas, the store and the warehouse. This article reports on a case study work, comprising direct observation, and analysis of the data collected, which was developed in three main phases: identification and characterization of problems, improvements in management of stock and restocking information, and finally improvements in the picking and restoking processes and teams. After analysing the hypermarket, some problems were found such as a high percentage of non-productive time in restocking, a daily average of 132 products to be restocked, a lack of standardization of tasks in the warehouse, and outdated restocking management system. Therefore, there will be some proposals to change the restocking management system, the picking and restocking work method and the warehouse layout, which makes it possible to decrease stock breaks in the store by 17%, the number of employees dedicated to these processes from 14 to 11, and finally, to reduce 2 daily hours of non-adding value time. This work makes an innovative contribution to fulfil a lack of publications dedicated to hyper-market inbound logistics between the warehouse and the store. Thus, it reveals the significant importance of focusing on instore logistics to the point of sale, concerning the efficiency, the lean production, and social benefits to the retail hypermarket, from the reception of products in the hypermarket warehouse until they are placed on the store shelves.
Rocznik
Strony
64--72
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
autor
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
autor
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
autor
  • Department of Production and Systems, Algoritmi Centre, School of Engineering, University of Minho, Campus Azurem, 4800-058 Guimarães, Portugal
Bibliografia
  • 1. Abhishek, P. G., Pratap, M., 2020. Achieving Lean Warehousing Through Value Stream Mapping. South Asian Journal of Business and Management Cases, [in press]. DOI: 10.1177/227797792095855110.1177/2277977920958551
  • 2. Amorim-Lopes, M., Guimarães, L., Alves, J., Almada-Lobo, B., 2021. Improving picking performance at a large retailer warehouse by combining probabilistic simulation, optimization, and discrete-event simulation. International Transactions in Operational Research, 28(2), 687-715, DOI:10.1111/itor.1285210.1111/itor.12852
  • 3. Antunes, D., Sousa, S.D., Nunes, E. M., 2013. Using Project Six Sigma and Lean Concepts in Internal Logistics. Proceedings of the World Congress on Engineering, London, UK.
  • 4. Bashir, H., Haridy, S., Shamsuzzaman, M., Alsyouf, I., 2020. Lean Warehousing: A Case Study in a Retail Hypermarket. IEOM Society International, 1599-1607, Dubai.
  • 5. Berg, J.V., Zijm, W., 1999. Models for warehouse management: Classification and examples. International Journal of Production Economics, 519-528.10.1016/S0925-5273(98)00114-5
  • 6. Chen, T.L., Cheng, C.Y., Chen, Y.Y., Chan, L.K., 2015. An efficient hybrid algorithm for integrated order batching, sequencing and routing problem. International Journal of Production Economics, 159, 158-167. DOI: 10.1016/j.ijpe.2014.09.02910.1016/j.ijpe.2014.09.029
  • 7. Guimarães, L., 2020. Improving picking performance at a large retailer warehouse by combining probabilistic simulation, optimization, and discrete-event simulation. International Transactions in Operational Research, 687-715.10.1111/itor.12852
  • 8. Jie, F., Gengatharen, D., 2019. Australian food retail supply chain analysis. Business Process Management Journal, 25(2), 271-287. doi:10.1108/BPMJ-03-2017-006510.1108/BPMJ-03-2017-0065
  • 9. Koster, R. d., Le-Duc, T., Roodbergen, K.J., 2007. Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 481-501.10.1016/j.ejor.2006.07.009
  • 10. Kroesb, J.R., Manikasa, A.S., Gattiker, TF., 2018. Operational leanness and retailfirm performance since 1980. International Journal of Production Economics, 197, 262-274, DOI: 10.1016/j.ijpe.2018.01.00610.1016/j.ijpe.2018.01.006
  • 11. Liker, J.K., 2004. The Toyota Way-14 Management Principles from the World Greatest Manufacturer. New York: McGraw-Hill.
  • 12. Martins, A.F., Alves, A.C., Leão, C.P., 2018. Development and implementation of dashboards for operational monitoring using participatory design in a lean context. Advances in Intelligent Systems and Computing, 621, 237-249, Salamanca, Spain: International Symposium on Qualitative Research.10.1007/978-3-319-61121-1_21
  • 13. Ramos, R., 2014. O Espaço na Gestão de Categorias: um Caso Prático. Lisboa.
  • 14. Rehme, J., Abrahamsson, M., 2010. The Role of Logistics in Retailers’ Corporate Strategy-a Driver for Growth and Customer Value. Supply Chain Forum.10.1080/16258312.2010.11517243
  • 15. Saleheen, F., Miraz, M.H., Hanafi, Z., Habib, D.M., 2014. Challenges of Warehouse Operations: A Case Study in Retail Supermarket. International Journal of Supply Chain Management, 63-67.
  • 16. Scarpin, C., Steiner, M., 2011. Proposal for a strategic planning for the replacement of products in stores based on sales forecast. Pesquisa Operacional, 351-371.10.1590/S0101-74382011000200008
  • 17. Shah, B., Khanzode, V., 2018. Designing a lean storage allocation policy for non-uniform unit loads in a forward-reserve model: An enterprise information management with an e-decision support system. Journal of Enterprise Information Management, 31(1), 112-145, DOI: 10.1108/JEIM-01-2017-001810.1108/JEIM-01-2017-0018
  • 18. Shakeri, M., Hesari, M., 2020. Discovering adjacency relationships of goods by using association rules to optimizing hypermarket layout. Turismo: Estudos & Práticas (UERN).
  • 19. Shakoor, M., Jaber, N., Jadayil, W.A., Qureshi, M., Jaber, S., 2017. A Novel Model for Benchmarking the Performance of Retail Stores for Retail Operations using Lean Manufacturing Approach. International Journal of Applied Engineering Research, 12(17), 6686-6692. Obtido de http://www.ripublication.com/ijaer17/ijaerv12n17_54.pdf
  • 20. Sousa, P.M., 2009. Layout de um armazém de stock na Jerónimo Martins. Porto.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b179b19c-d795-470b-8605-f3c4f82e5cbe
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