IIARD International Institute of Academic Research and Development

International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 10 NO. 6 2024
DOI: 10.56201/ijemt.v10.no6.2024.pg1.18

---

Availability of Mobile Port Machines at the Dar Es Salaam Port: Mean Time to Failure and Mean Down Time Data Analysis

Mlelwa Christopher, Eliamini Kassembe and Msabaha Mwendapole

---

Abstract

In this study, the objective has been considered to increase the availability of the mobile port machines of the Dar es Salaam port. The research method was inductive, the approach used was both qualitative and quantitative, the type of research used was applied, the level of research was descriptive and explanatory, and finally, the research design used was pre-experimental. The technique for data collection used were literature review, observation, questionnaire survey and documentary compilation, likewise, the instruments used were reports and observation sheets and data record sheets. The techniques for the processing and analysis of the information were used the Microsoft Excel software and Social Science Statistics Package (SPSS) version 26 for the interpretation of data and the elaboration of diagrams. The results of the study identified the availability of mobile port machine is 65%. This implies that the current maintenance approaches have low availability performance. Also all the factors affecting the current mobile machine maintenance strategy in the port of Dar es Salaam were identified. The study identified five factors and their coefficients, including unavailability of spare parts and tools (0.013), downtime caused by the operating environment (0.005), the effective age of equipment (0.002), availability of effective maintenance plans and schedules (0.001) and downtime due to Human resources (0.008). According to these factors, the availability performance found to be 65.16%. In order to improve the availability performance of mobile machines at Dar es Salaam port, it is recommended to adopt a new and effective maintenance management system (Preventive Maintenance Plan) to the Port of Dar es Salaam. It concluded that, through the implementation of a PMP the availability of mobile port machine will increase, although management should provide adequate availability of spare parts and tools, ensure planning and sc

keywords:

Mobile Port Machine, Availability, Mean Time to Failure and Mean Down Time

---

References:

Al-fares, H. K. & Duffuaa, S. O. (2019). Maintenance forecasting and capacity planning.
Handbook of Maintenance Management and Engineering. Springer.
Al-turki, U (2014). A framework for strategic planning in maintenance. Journal of Quality in
Maintenance Engineering.
American science and engineering, I (2017). Co-Located Cargo Inspection Systems,
Turnpike,Billerica,USA.
ARMS, 2016. Development of a multi-criteria hierarchical framework for maintenance
performance measurement: Concepts, issues and challenges. Pretoria University
Armstrong, M. 2018. Strategic human resource management, Kogan page.
Bell, Bryman and Harley (2019). Business Research Methods. Oxyford University press
Ben-daya, M., Duffuaa, S. O., Raouf, A., Knezevic, J. & Ait-kadi, D (2019). Handbook of
maintenance management and engineering, Springer.
Caldas, C. H., Menches, C. L., Reyes, P. M., Navarro, L. & Vargas, D. M (2015). Materials
management practices in the construction industry. Practice Periodical on Structural
Design and Construction, 20, 04014039.
Christoph Bartneck, Christoph Lütge, Alan Wagner, Sean Welsh (2021). An Introduction to Ethics
in Robotics and AI. Aerospace Engineering. Research output: Chapter in
Book/Report/Conference proceeding chapter
Creswell, J. W. & Creswell, J (2013). Research design, Sage publications Thousand Oaks, CA.
Dhillon, B. S (2015). Engineering maintenance: a modern approach, cRc press.
Durrheim, K (2016). Research design. Research in practice: Applied methods for the social
sciences, 2, 33-59.
Flitton, G., Breckon, T. P. & Megherbi, N (2013). A comparison of 3D interest point descriptors
with application to airport baggage object detection in complex CT imagery. Pattern
Recognition, 46, 2420-2436.
Frittelli, J (2018). Port and maritime security: background and issues for congress. Port and
Maritime Security, 11, 1-27.
Fry, J., Greenop, K., Turnbull, O. & Bowman, C. (2019). The effect of education and gender on
emotion-based decision-making. South African Journal of Psychology, 39, 122-132.
George, D. & Mallery, P (2015). Cronbach's alpha. In: SPSS for Windows Step by Step: A Simple
Guide and Reference. 11.0 Update. Allyn & Bacon, Boston.
Kortelainen, H. & Pursio, S (2015). Availability performance stands for plant efficiency. Paperi ja
puu, 83, 292-296.
Kothari, C. R (2014). Research methodology: Methods and techniques, New Age International.
Kumar, R., Markeset, T. & Kumar, U (2014). Maintenance of machinery. International Journal of
Service Industry Management.
Kusek, J. Z. & Rist, R. C (2014). Ten steps to a results-based monitoring and evaluation system:
a handbook for development practitioners, World Bank Publications.
Laks, P., & Verhagen, W (2018). Identification of optimal preventive maintenance decisions for
composite
components.
Transportation
Research
Proceedings,
29,
202-212.
doi:10.1016/j.trpro.2018.02.018
Levine, W. S., Grüne, L., Goebel, R., Rakovic, S. V., Mesbah, A., Kolmanovsky, I., Di cairano,
S., Allan, D. A., Rawlings, J. B. & Sehr, M. A. (2018). Handbook of model predictive
control.
Lot Okanminiwei1 and Sunday Ayoola Oke (2021). Port Equipment Downtime Prediction and
Lifetime Data Analysis: Evidence from a Case Study. Journal of Industrial Engineering
and Management Systems Vol. 14, No. 1, 8-18
Martín-Soberón, AM, Monfort, A., Sapiña, R., Monterde, N., & Calduch, D. (2014). Automation
in port container terminals. Procedia - Social and Behavioral Sciences, 160, 195-204.
Mkilania, J. N (2016). Factors affecting best maintanance practise in Tanzania public sector.
Mkilania, J. N (2018). Factors related to human resources affecting the maintenance effectiveness
in tanzanian industries.
Mkilania, J. N. (2016). Factors affecting best maintanance practise in Tanzania public sector.
Mobley, R. K., Higgins, L. R. & Wikoff, D. J (2018). Maintenance Engg. Handbook.
Mulligan, M. & Wainwright, J (2013). Modelling and model building. Environmental Modelling,
John Wiley & Sons, Ltd, Chichester, UK, 7-26.
Nuctech 2019. Inspection System for Mobile Scanner, Haidian District, Beijing P.R.China.
O'connor, P. & Kleyner, A. (2014). Practical reliability engineering, John Wiley & Sons.
Olarte, W., Botero, M., & Cañon, B. (2015). Importance of industrial maintenance within
production processes. Scientia et Technica, 16(44), 354-356.
Parida, A. & Kumar, U. (2019). Maintenance productivity and performance measurement.
Handbook of maintenance management and engineering. Springer.
Parida, A. (2016). Development of a multi-criteria hierarchical framework for maintenance
performance measurement: Concepts, issues and challenges. Luleå tekniska universitet.
Pintelon, L., Parodi-herz, A., Prabhakar M, D. & Khairy, A. (2015). Complex system maintenance
handbook. Complex System and Maintenance Handbook.
Reio jr, T. G. & Shuck, B. (2015). Exploratory factor analysis: implications for theory, research,
and practice. Advances in Developing Human Resources, 17, 12-25.
Reliability, 2015. Proposal for a maintenance management model and its main support tools.
Chilean Magazine of Engineering,
Ruiz, AM (2016). Model for the implementation of predictive maintenance in oil production
facilities. (Bachelor Thesis) Industrial University of Santander, Bucaramanga, Colombia.
Safak, I (2015). Development of performance evaluation scale for forest engineers using
confirmatory factor analysis method. African Journal of Agricultural Research, 7, 1198-
Senders, J. W. & Moray, N. P (2020). Human Error:: Cause, Prediction, and Reduction, CRC
Press.
Shrestha, N (2021). Factor analysis as a tool for survey analysis. American Journal of Applied
Mathematics and Statistics, 9, 4-11.
Vilarinho, S., Lopes, I., & Oliveira, J. (2017). Preventive maintenance decisions through
maintenance optimization models: a case study. Procedia Manufacturing, 11, 1170–1177.
Viveros, P., Stegmaier, R., Kristjanpoller, F., Barbera, L., & Crespo, A. (2013). Proposal for a
maintenance management model and its main support tools. Chilean Magazine of
Engineering, 21(1), 125-138.
Zapien, J., Ramirez, M., Burgara, O., & Escoto, E. (2017). Development of a SCADA system for
remote monitoring of RTG cranes in the company LCTPC of the Port of Lázaro Cárdenas,
Michoacán, México. Engineering Applications Magazine, 4(12), 36-43.

DOWNLOAD PDF

---

Back