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This article aims to investigate the impact of allowable human energy expenditure (HEE) of order pickers on the throughput of workers in manual order zone picking systems MOP. The method used in this research is the Monte Carlo simulation, used while considering many human and job factors. The results showed that a worker’s gender and an item’s weight have little effect on the HEE. On the other hand, body weight, walking speed, distance travelled, and the targeted zone significantly impacted the HEE, rest allowance, and throughput. For example, male pickers at a weight of 75 kg can move up to speed to 1 m/s and pick up items weighing up to 5 kg without reaching the allowable HEE rate, equal to 4.3 kcal/min, and, thus, no rest is needed. Female pickers at a weight of 75 kg reach the allowable HEE rate, equal to 2.6 kcal/min, at a very low speed of approximately 0.1 m/s when picking up items up to 5 kg, and, thus, frequent rest is needed, which leads to low throughput. To increase the throughput of female pickers, they can be assigned to pick up lighter items. Utilising Monte Carlo simulation to evaluate the HEE in MOP while considering many factors.
Rocznik
Tom
Strony
12--24
Opis fizyczny
Bibliogr. 42 poz., tab., wykr.
Twórcy
autor
- Jordan University of Science and Technology, Jordan
autor
- Jordan University of Science and Technology, Jordan
autor
- Jordan University of Science and Technology, Jordan
autor
- Jordan University of Science and Technology, Jordan
Bibliografia
- Al-Araidah, O., Okudan-Kremer, G., Gunay, E. E., & Chu, C.-Y. (2021). A Monte Carlo simulation to estimate fatigue allowance for female order pickers in high traffic manual picking systems. International Journal of Production Research, 59, 4711-4722.
- Al-Eisawi, K. W., Kerk, C. J., Congleton, J. J., Amendola, A. A., Jenkins, O. C., & Gaines, W. (1999). Factors affecting minimum push and pull forces of manual carts. Applied Ergonomics, 30(3), 235-245.
- Baležentis, T., & Streimikiene, D. (2017). Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation. Applied Energy, 185, 862-871.
- Battini, D., Glock, C. H., Grosse, E. H., Persona, A., & Sgarbossa, F. (2016). Human energy expenditure in order picking storage assignment: A bi-objective method. Computers & Industrial Engineering, 94, 147-157.
- Çakıt, E. (2016). Estimation of energy expenditure based on divided manual material handling task: Waste collection example. Celal Bayar University Journal of Science, 13, 51-54.
- Calzavara, M., Glock, C. H., Grosse, E. H., Persona, A., & Sgarbossa, F. (2016). Models for an ergonomic evaluation of order picking from different rack layouts. IFAC-PapersOnLine, 49, 1715-1720.
- Calzavara, M., Glock, C. H., Grosse, E. H., Persona, A., & Sgarbossa, F. (2017). Analysis of economic and ergonomic performance measures of different rack layouts in an order picking warehouse. Computers & Industrial Engineering, 111, 527-536.
- Calzavara, M., Glock, C. H., Grosse, E. H. & Sgarbossa, F. (2019a). An integrated storage assignment method for manual order picking warehouses considering cost, workload and posture. International Journal of Production Research, 57, 2392-2408.
- Calzavara, M., Persona, A., Sgarbossa, F., & Visentin, V. (2019b). A model for rest allowance estimation to improve tasks assignment to operators. International Journal of Production Research, 57, 948-962.
- Caron, F., Marchet, G., & Perego, A. (2000). Optimal layout in low-level picker-to-part systems. International Journal of Production Research, 38, 101-117.
- De Vries, J., De Koster, R., & Stam, D. (2016). Exploring the role of picker personality in predicting picking performance with pick by voice, pick to light and RFterminal picking. International Journal of Production Research, 54, 2260-2274.
- Dc Graves Industrial Steel Cart Index. Retrieved from https://www.dcgraves.com/Welded-Industrial-Steel- Carts-s/1818.htm
- Elbert, R., & Muller, J. P. (2017). Manoeuvres in manual person-to-parts order picking systems: Is there a significant influence on travel time and metabolic rates? IFAC-PapersOnLine, 50, 6894-6899.
- Finco, S., Battini, D., Delorme, X., Persona, A., & Sgarbossa, F. (2020). Workers’ rest allowance and smoothing of the workload in assembly lines. International Journal of Production Research, 58, 1255-1270.
- Fryar, C. D., Kruszan-Moran, D., Gu, Q., & Ogden, C. L. (2018). Mean body weight, weight, waist circumference, and body mass index among adults: United States, 1999–2000 through 2015–2016.
- Garg, A., Chaffin, D. B., & Herrin, G. D. (1978). Prediction of metabolic rates for manual materials handling jobs. American Industrial Hygiene Association Journal, 39, 661-674.
- Gibbs, B. B., Kowalsky, R. J., Perdomo, S. J., Grier, M., & Jakicic, J. (2017). Energy expenditure of deskwork when sitting, standing or alternating positions. Occupational Medicine, 67, 121-127.
- Grosse, E. H., Glock, C. H., Jaber, M. Y., & Neumann, W. P. (2015). Incorporating human factors in order picking planning models: framework and research opportunities. International Journal of Production Research, 53(3), 695-717.
- Harrison, R. L. (2010). Introduction to Monte Carlo simulation. AIP conference proceedings. American Institute of Physics, 17-21.
- Ho, Y.-C., & Liu, C.-F. (2005). A design methodology for converting a regular warehouse into a zonepicking warehouse. Journal of the Chinese Institute of Industrial Engineers, 22, 332-345.
- Horiuchi, M., Muraki, S., Horiuchi, Y., Inada, N., & Abe, D. (2014). Energy cost of pushing a wheelchair on various gradients in young men. International Journal of Industrial Ergonomics, 44, 442-447.
- Liftingsafety (2023). Retrieved from https://www.liftingsafety. co.uk/product/order-picking-trolley-1112.html
- Marmidis, G., Lazarou, S., & Pyrgioti, E. (2008). Optimal placement of wind turbines in a wind park using Monte Carlo simulation. Renewable Energy, 33, 1455-1460.
- Meyers, F. E., & Stewart, J. R. (2002). Motion and time study for lean manufacturing. Pearson College Division.
- Ocobock, C. (2016). Human energy expenditure, allocation, and interactions in natural temperate, hot, and cold environments. American Journal of Physical Anthropology, 161(4), 667-675.
- Papadopoulos, C. E., & Yeung, H. (2001). Uncertainty estimation and Monte Carlo simulation method. Flow Measurement and Instrumentation, 12, 291-298.
- Parikh, P. J., & Meller, R. D. (2008). Selecting between batch and zone order picking strategies in a distribution center. Transportation Research Part E: Logistics and Transportation Review, 44, 696-719.
- Petersen, C. G. (1997). An evaluation of order picking routeing policies. International Journal of Operations & Production Management.
- Petersen, C. G. (2002). Considerations in order picking zone configuration. International Journal of Operations & Production Management.
- Petersen, C. G. & Aase, G. (2004). A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92, 11-19.
- Petersen, C. G., Siu, C., & Heiser, D. R. (2005). Improving order picking performance utilizing slotting and golden zone storage. International Journal of Operations & Production Management, 25(10), 997- 1012.
- Pontzer, H., Durazo-Arvizu, R., Dugas, L. R., Plange-Rhule, J., Bovet, P., Forrester, T. E., ... & Luke, A. (2016). Constrained total energy expenditure and metabolic adaptation to physical activity in adult humans. Current Biology, 26(3), 410-417.
- Poulianiti, K. P., Havenith, G., & Flouris, A. D. (2018). Metabolic energy cost of workers in agriculture, construction, manufacturing, tourism, and transportation industries. Industrial Health.
- Price, A. (1990). Calculating relaxation allowances for construction operatives—Part 1: Metabolic cost. Applied Ergonomics, 21, 311-317.
- Raychaudhuri, S. (2008). Introduction to monte carlo simulation. Winter simulation conference. IEEE, 91- 100.
- Roodbergen, K. J., Sharp, G. P., & Vis, I. F. (2008). Designing the layout structure of manual order picking areas in warehouses. IIE Transactions, 40, 1032-1045.
- Saderova, J., Poplawski, L., Balog Jr, M., Michalkova, S., & Cvoliga, M. (2020). Layout design options for warehouse management. Polish Journal of Management Studies, 22(2), 443-455.
- Sgarbossa, F., & Vijayakumar, V. (2020). Reducing fatigue level through tasks and breaks assignment in order picking system. 21st IFAC World Congress (Virtual) Berlin, Germany, July 12-17, 2020.
- Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010). Facilities planning. John Wiley & Sons.
- Vanheusden, S., Van Gils, T., Caris, A., Ramaekers, K., & Braekers, K. 2020. Operational workload balancing in manual order picking. Computers & Industrial Engineering, 141, 106269.
- Weisner, K., & Deuse, J. (2014). Assessment methodology to design an ergonomic and sustainable order picking system using motion capturing systems. Procedia CIRP, 17, 422-427.
- Westerterp, K. R. (2017). Control of energy expenditure in humans. European Journal of Clinical Nutrition, 71(3), 340-344.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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