Advertisement

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

  • İbrahim Halil Korkmaz
  • Erkan Alsu
  • Eren ÖzceylanEmail author
  • Gerhard-Wilhelm Weber
Article
  • 39 Downloads

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.

Keywords

Job analysis Logistics Method study Packing Time study 

Notes

Acknowledgements

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

References

  1. Albrechtsen E, Solberg I, Svensli E (2019) The application and benefits of job safety analysis. Saf Sci 113:425–437CrossRefGoogle Scholar
  2. Alwasel A, Sabet A, Nahangi M, Haas CT, Abdel-Rahman E (2017) Identifying poses of safe and productive masons using machine learning. Autom Constr 84:345–355CrossRefGoogle Scholar
  3. 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, WashingtonCrossRefGoogle Scholar
  4. 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):57–61CrossRefGoogle Scholar
  5. Deutscher V, Winther E (2017) Instructional sensitivity in vocational education. Learn Instr 52:121–133Google Scholar
  6. Dunckel H (2015) Psychology of job analysis and work roles. Int Encycl Soc Behav Sci 811–815Google Scholar
  7. Duran C, Cetindere A, Aksu YE (2015) Productivity improvement by work and time study technique for earth energy-glass manufacturing company. Procedia Econ Finance 26:109–113CrossRefGoogle Scholar
  8. 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 65:461–472CrossRefGoogle Scholar
  9. Hartanti LPS (2016) Work measurement approach to determine standard time in assembly line. In: Proceedings of the 31st IASTEM international conference, ISBN: 978-93-86083-99-9Google Scholar
  10. Kanawaty G (1992) Introduction to work study, International Labor Office, ISBN: 92-2-107108-1Google Scholar
  11. 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):57–66CrossRefGoogle Scholar
  12. Li W, Zhang L, Liang W (2016) Job hazard dynamic assessment for non-routine tasks in gas transmission station. J Loss Prev Process Ind 44:459–464CrossRefGoogle Scholar
  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: 978-94-6252-678-5Google Scholar
  14. Mundel ME (1973) Motion and time study principles and practices. Prentice-Hall, New DelhiGoogle Scholar
  15. Nadler G (1963) Work design. Irwin, HomewoodGoogle Scholar
  16. Niebel BW, Freivalds A (2003) Methods standards and work design. McGraw-Hill, New YorkGoogle Scholar
  17. Pignault A, Houssemand C (2016) Construction and initial validation of the work context inventory. J Vocat Behav 92:1–11CrossRefGoogle Scholar
  18. Rezaei J, Van Roekel W, Tavasszy L (2018) Measuring the relative importance of logistics performance index indicators using best worst method. Transp Policy 68:158–169CrossRefGoogle Scholar
  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 (2018) Visualizing risk related information for work orders through the planning process of maintenance activities. Saf Sci 101:144–154CrossRefGoogle Scholar
  21. 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):62–67CrossRefGoogle Scholar
  22. Shikdara A, Sawaqedb N (2004) Ergonomics, and occupational health and safety in the oil industry: a managers’ response. Comput Ind Eng 47:223–232CrossRefGoogle Scholar
  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 53–58Google Scholar
  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 (2018) Measuring work-related psychosocial and physical risk factors using workplace observations: a validation study of the “healthy workplace screening”. Saf Sci 101:197–208CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • İbrahim Halil Korkmaz
    • 1
  • Erkan Alsu
    • 2
  • Eren Özceylan
    • 3
    Email author
  • Gerhard-Wilhelm Weber
    • 4
  1. 1.Islahiye Vocational SchoolGaziantep UniversityGaziantepTurkey
  2. 2.Department of Business AdministrationGaziantep UniversityGaziantepTurkey
  3. 3.Department of Industrial EngineeringGaziantep UniversityGaziantepTurkey
  4. 4.Department of Marketing and Economic EngineeringPoznan University of TechnologyPoznanPoland

Personalised recommendations