Job analysis and time study in logistic activities: a case study in packing and loading processes. (English) Zbl 07191578
Summary: Aim of this study is examining the logistic activities of enterprises with the job analysis method; to be organized and designed in such a way that it can be done most effectively, efficiently and ergonomicaly in terms of time and method studies. In this context, in the first phase of this study which was designed as four stages, the company to be investigated in terms of process optimization was determined. In second step, logistics activities of the selected large scale cereal production companies which operate in Gaziantep were collected within the scope of the study. Data were analyzed by job analysis method and a new method was proposed for the process that the related activities formed in the third phase of study. In the fourth step, new process is proposed and proven to increase the efficiency, effectiveness and ergonomy of the business is presented. As a result, it has been calculated that the proposed process saves 75% of the labor cost of enterprise in logistic activities. In addition, with the proposed new process, the total time of packaging and loading processes was reduced by 47%. The method and conclusions that are observed in this study are thought to be of the benefit of all businesses and people with similar activities.
MSC:
| 90Bxx | Operations research and management science |
References:
| [1] | Albrechtsen, E.; Solberg, I.; Svensli, E., The application and benefits of job safety analysis, Saf Sci, 113, 425-437 (2019) · doi:10.1016/j.ssci.2018.12.007 |
| [2] | Alwasel, A.; Sabet, A.; Nahangi, M.; Haas, CT; Abdel-Rahman, E., Identifying poses of safe and productive masons using machine learning, Autom Constr, 84, 345-355 (2017) · doi:10.1016/j.autcon.2017.09.022 |
| [3] | Arvis, J-F; Ojala, L.; Wiederer, C.; Shepherd, B.; Raj, A.; Dairabayeva, K.; Kiiski, T., Connecting to compete 2018: trade logistics in the global economy (2018), Washington: World Bank, Washington |
| [4] | Boye, MW; Cohen, BS; Sharp, MA; Canino, MC; Foulis, SA; Larcom, K.; Smith, L., U.S. army physical demands study: prevalence and frequency of performing physically demanding tasks in deployed and non-deployed stings, J Sci Med Sport, 20, 4, 57-61 (2017) · doi:10.1016/j.jsams.2017.08.014 |
| [5] | Deutscher, V.; Winther, E., Instructional sensitivity in vocational education, Learn Instr, 52, 121-133 (2017) |
| [6] | Dunckel H (2015) Psychology of job analysis and work roles. Int Encycl Soc Behav Sci 811-815 |
| [7] | Duran, C.; Cetindere, A.; Aksu, YE, Productivity improvement by work and time study technique for earth energy-glass manufacturing company, Procedia Econ Finance, 26, 109-113 (2015) · doi:10.1016/S2212-5671(15)00887-4 |
| [8] | Greene, RL; Azari, DP; Hu, YH; Radwin, RG, Visualizing stressful aspects of repetitive motion tasks and opportunities for ergonomic improvements using computer vision, Appl Ergon, 65, 461-472 (2017) · doi:10.1016/j.apergo.2017.02.020 |
| [9] | Hartanti LPS (2016) Work measurement approach to determine standard time in assembly line. In: Proceedings of the 31st IASTEM international conference, ISBN: 978-93-86083-99-9 |
| [10] | Kanawaty G (1992) Introduction to work study, International Labor Office, ISBN: 92-2-107108-1 |
| [11] | Lee, Y.; Choo, J.; Cho, J.; Kim, S.; Lee, H.; Yoon, S.; Seomur, G., Development of a standardized job description for healthcare managers of metabolic syndrome management programs in Korean community health centers, Asian Nurs Res, 8, 1, 57-66 (2014) · doi:10.1016/j.anr.2014.02.003 |
| [12] | Li, W.; Zhang, L.; Liang, W., Job hazard dynamic assessment for non-routine tasks in gas transmission station, J Loss Prev Process Ind, 44, 459-464 (2016) · doi:10.1016/j.jlp.2016.10.018 |
| [13] | Liu S (2019) Research on the influencing factors of labor productivity in Northeast China. In: Proceedings of the 2019 4th international conference on Financial Innovation and Economic Development (ICFIED 2019), ISBN: 978-94-6252-678-5 |
| [14] | Mundel, ME, Motion and time study principles and practices (1973), New Delhi: Prentice-Hall, New Delhi |
| [15] | Nadler, G., Work design (1963), Homewood: Irwin, Homewood |
| [16] | Niebel, BW; Freivalds, A., Methods standards and work design (2003), New York: McGraw-Hill, New York |
| [17] | Pignault, A.; Houssemand, C., Construction and initial validation of the work context inventory, J Vocat Behav, 92, 1-11 (2016) · doi:10.1016/j.jvb.2015.11.006 |
| [18] | Rezaei, J.; Van Roekel, W.; Tavasszy, L., Measuring the relative importance of logistics performance index indicators using best worst method, Transp Policy, 68, 158-169 (2018) · doi:10.1016/j.tranpol.2018.05.007 |
| [19] | Robinson A (2014) Why logistics efficiency is more important than ever for manufacturers. https://cerasis.com/2014/06/09/logistics-efficiency. Accessed 15 Nov 2018 |
| [20] | Sarshar, S.; Haugen, S., Visualizing risk related information for work orders through the planning process of maintenance activities, Saf Sci, 101, 144-154 (2018) · doi:10.1016/j.ssci.2017.09.001 |
| [21] | Sharp, MA; Cohen, BS; Boye, MW; Foulis, SA; Redmond, IF; Larcom, K.; Hydren, JR; Gebhardt, DL; Canino, MC; Warr, BJ; Zambraski, EJ, U.S. army physical demands study: identification and validation of the physically demanding tasks of combat arms occupations, J Sci Med Sport, 20, 4, 62-67 (2017) · doi:10.1016/j.jsams.2017.09.013 |
| [22] | Shikdara, A.; Sawaqedb, N., Ergonomics, and occupational health and safety in the oil industry: a managers’ response, Comput Ind Eng, 47, 223-232 (2004) · doi:10.1016/j.cie.2004.07.004 |
| [23] | Teresa G, Evangelos G (2015) Importance of logistics services attributes influencing customer satisfaction. In: Proceedings of the 4th international conference on advanced logistics and transport, pp 53-58 |
| [24] | The Establish Davis Database (2016) Logistics cost and service. https://www.establishinc.com/establish-davis-database. Accessed 15 Nov 2018 |
| [25] | Tomaschek, A.; Lutkelafner, SS; Melzer, M.; Debitz, U.; Buruck, G., Measuring work-related psychosocial and physical risk factors using workplace observations: a validation study of the “healthy workplace screening”, Saf Sci, 101, 197-208 (2018) · doi:10.1016/j.ssci.2017.09.006 |
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