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Job analysis and time study in logistic activities: a case study in packing and loading processes

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Abstract

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.

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References

  • Albrechtsen E, Solberg I, Svensli E (2019) The application and benefits of job safety analysis. Saf Sci 113:425–437

    Article  Google Scholar 

  • Alwasel A, Sabet A, Nahangi M, Haas CT, Abdel-Rahman E (2017) Identifying poses of safe and productive masons using machine learning. Autom Constr 84:345–355

    Article  Google Scholar 

  • Arvis J-F, Ojala L, Wiederer C, Shepherd B, Raj A, Dairabayeva K, Kiiski T (2018) Connecting to compete 2018: trade logistics in the global economy. World Bank, Washington

    Book  Google Scholar 

  • Boye MW, Cohen BS, Sharp MA, Canino MC, Foulis SA, Larcom K, Smith L (2017) 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

    Article  Google Scholar 

  • Deutscher V, Winther E (2017) Instructional sensitivity in vocational education. Learn Instr 52:121–133

    Google Scholar 

  • Dunckel H (2015) Psychology of job analysis and work roles. Int Encycl Soc Behav Sci 811–815

  • Duran C, Cetindere A, Aksu YE (2015) Productivity improvement by work and time study technique for earth energy-glass manufacturing company. Procedia Econ Finance 26:109–113

    Article  Google Scholar 

  • Greene RL, Azari DP, Hu YH, Radwin RG (2017) Visualizing stressful aspects of repetitive motion tasks and opportunities for ergonomic improvements using computer vision. Appl Ergon 65:461–472

    Article  Google Scholar 

  • 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

  • Kanawaty G (1992) Introduction to work study, International Labor Office, ISBN: 92-2-107108-1

  • Lee Y, Choo J, Cho J, Kim S, Lee H, Yoon S, Seomur G (2014) 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

    Article  Google Scholar 

  • Li W, Zhang L, Liang W (2016) Job hazard dynamic assessment for non-routine tasks in gas transmission station. J Loss Prev Process Ind 44:459–464

    Article  Google Scholar 

  • 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

  • Mundel ME (1973) Motion and time study principles and practices. Prentice-Hall, New Delhi

    Google Scholar 

  • Nadler G (1963) Work design. Irwin, Homewood

    Google Scholar 

  • Niebel BW, Freivalds A (2003) Methods standards and work design. McGraw-Hill, New York

    Google Scholar 

  • Pignault A, Houssemand C (2016) Construction and initial validation of the work context inventory. J Vocat Behav 92:1–11

    Article  Google Scholar 

  • Rezaei J, Van Roekel W, Tavasszy L (2018) Measuring the relative importance of logistics performance index indicators using best worst method. Transp Policy 68:158–169

    Article  Google Scholar 

  • 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

  • Sarshar S, Haugen S (2018) Visualizing risk related information for work orders through the planning process of maintenance activities. Saf Sci 101:144–154

    Article  Google Scholar 

  • Sharp MA, Cohen BS, Boye MW, Foulis SA, Redmond IF, Larcom K, Hydren JR, Gebhardt DL, Canino MC, Warr BJ, Zambraski EJ (2017) 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

    Article  Google Scholar 

  • Shikdara A, Sawaqedb N (2004) Ergonomics, and occupational health and safety in the oil industry: a managers’ response. Comput Ind Eng 47:223–232

    Article  Google Scholar 

  • 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

  • The Establish Davis Database (2016) Logistics cost and service. https://www.establishinc.com/establish-davis-database. Accessed 15 Nov 2018

  • Tomaschek A, Lutkelafner SS, Melzer M, Debitz U, Buruck G (2018) Measuring work-related psychosocial and physical risk factors using workplace observations: a validation study of the “healthy workplace screening”. Saf Sci 101:197–208

    Article  Google Scholar 

Download references

Acknowledgements

The authors express their gratitude to the four anonymous reviewers and guest editors for their valuable comments on the paper.

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Correspondence to Eren Özceylan.

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Eren Özceylan conducted this research while he was a visiting scholar at the Mechanical and Industrial Engineering Department, Northeastern University, Boston.

Appendix

Appendix

See Tables 6 and 7.

Table 6 The work elements of current packing system
Table 7 Data in regard to observations of current packing and handling processes

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Korkmaz, İ.H., Alsu, E., Özceylan, E. et al. Job analysis and time study in logistic activities: a case study in packing and loading processes. Cent Eur J Oper Res 28, 733–760 (2020). https://doi.org/10.1007/s10100-019-00624-1

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