Abstract
The main goal of the article is to present a Pick Performance System (PPS) as an IT support used for order complementing in an example enterprise. The system helps to keep productivity of employees on a required level and in worst case scenario it leads to dismissal of employee. It is accurate and provides data necessary to manage big distribution center. The first part of the work is overview of the literature written in this matter. Second part will present characteristics of the order complementation process in the analyzed enterprise. Third part will show characteristic of the IT support system for the order complementation process. The last part of the article will introduce summary and conclusion.
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References
Cergibozan, C., Tasan, A.S.: Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center. J. Intell. Manuf. 33, 137–149 (2022)
Tompikins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A.: Facilities Planning. Wiley, New York (2010)
Kasparova, P., Dyntar, J.: Effective designing of order picking systems using dynamic simulation. Acta Informatica Pragensia 10(1), 108–120 (2021)
De Koster, R., Le-Duc, T., Roodbergen, K.J.: Design and control of warehouse order picking: a literature review. Eur. J. Oper. Res. 182(2), 481–501 (2007)
Stączek, P., Pizoń, J., Danilczuk, W., Gola, A.: A digital twin approach for the improvement of and autonomous mobile robots (AMR’s) operating enviroment – a case study. Sensors 23(21), 7830 (2021)
Musiał, K., Kotowska, J., Górnicka, D., Burduk, A.: Tabu search and greedy algorithm adaptation to logistic task. In: Saeed, K., Homenda, W., Chaki, R. (eds.) CISIM 2017. LNCS, vol. 10244, pp. 39–49. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59105-6_4
Xuan, L.: Computer aided optimization of picking system in logistics distribution center. Comput. Aided Des. Appl. 19(S4), 46–55 (2022)
Brzozowska, J., Gola, A.: Computer aided assembly planning using MS Excel software – a case study. Appl. Comput. Sci. 17(2), 70–89 (2021)
Altarazi, S.A., Ammouri, M.M.: Concurrent manual-order-picking warehouse design: a simulation-based design of experiments approach. Int. J. Prod. Res. 56(23), 7103–7121 (2018)
Gu, J., Goetschalckx, M., McGinnis, L.F.: Research on warehouse operation: a comprehensive review. Eur. J. Oper. Res. 177(1), 1–21 (2007)
Kłosowski, G., Gola, A., Thibbotuwawa, A.: Computational Intelligence in control of AGV multimodal systems. IFAC PapersOnline 51(11), 1421–1427 (2018)
Borucka, A.: Empirical analysis of transportaiton systems availability using the semi-Markov process. In: Proceedings of the 29th European Safety and Reliability Conference ESREL 2019, Hannover, pp. 834–838 (2020)
Relich, M., Nielsen, I.: Estimating production and warranty cost at the early stage of a new development project. IFAC PapersOnLine 54(1), 1092–1097 (2021)
Bocewicz, G., Nielsen, I., Gola, A., Banaszak, Z.: Reference model of milk-run traffic systems prototyping. Int. J. Prod. Res. 59(15), 4495–4512 (2021)
Guo, X., Chen, R., Du, S., Yu, Y.: Storage assignment for newly arrived items in forward picking areas with limited open locations. Transp. Res. Part E Logistics Transp. Rev. 151, 102359 (2021)
Keshavarz, A.R.A., Jaafari, D., Khalaj, M., Dokouhaki, P.: A survey of the literature on order-picking systems by combining planning problems. Appl. Sci. 11(22), 10641 (2021)
https://www.ims-productivity.com/page.cfm/content/Peak-Performance. Accessed 30 Apr 2021
Garfield, C.A.: Peak Performance: The New Heroes of American Business. William Marrow Paperbacks, California (1986)
Pan, J.C.H., Shih, P.H., Wu, M.H., Lin, J.H.: A strorage assignment heuristic method based on genetic algorithm for a pick-and-pass warehousing system. Comput. Ind. Eng. 81, 1–13 (2015)
De Koster, R.: Performance approximation of pick-to-belt order picking systems. Eur. J. Oper. Res. 72(3), 558–573 (1994)
Du, M., Wang, X., Geng, J., Ye, L.: A review of the optimization of the manual picking system. ACM Int. Conf. Proc. Ser. 175046, 661–6666 (2021)
Papoutskikakis, M., Sigala, M., Simeonaki, E., Tseles, D.: Innovative IT systems for material management in warehouses. In: AIP Confrence Proceedings, vol. 1872, p. 020010 (2017)
Gajsek, B., Dukic, G., Kovacic, M., Brezocnik, M.: A multi-objective genetic algorithms approach for modelling of order picking. Int. J. Simul. Model. 20(4), 719–729 (2021)
Klumpp, M., Gesenius, M., Meyer, O., Ruiner, C., Gruhn, V.: Production logistics and human-computer interaction – state of the art, challenges and requirements for the future. Int. J. Adv. Manuf. Technol. 105(9), 3691–3709 (2019)
Wasilewski, A., Wasilewski, M.: SOA approach in e-commerce integration. In: Soliman, K.S. (ed.) Vision 2020: Sustainable Economic Development and Application of Innovation Management, pp. 8506–8515 (2018)
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Kawęcki, N., Gola, A. (2022). Pick Performance System as an IT Support for Order Completing – A Case Study. In: Trojanowska, J., Kujawińska, A., Machado, J., Pavlenko, I. (eds) Advances in Manufacturing III. MANUFACTURING 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-99310-8_9
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