Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Job


Statistical Study to Support Integration of Engineering Graduates’ Career Decisions and Basic Engineering Programs

Lamyaa M.Dawood; May G. Amin; Dhuha K. Ismayyir

Engineering and Technology Journal, 2016, Volume 34, Issue 5, Pages 927-940

This research focuses on different aspects of engineering graduates’ career planning decisions as an important activity for their business and empowers continuous curriculum improvements to integrate academic programs outcomes and technical skills that conforms Iraqi job and employing requirements.
Data is collected according to questionnaire conducted for majority of “Production Engineering and Metallurgy department disciplines at the University of Technology” graduates’ as a case study that may be used later in human resources planning. Bar graphs are used as a statistical tool to display and analyze the results for three generations of grandaunts (80s, 90s, and above 2000s). Results revealed that despite private recruitment have been raised in Iraq at the last decade; governmental sector is still the main target for graduates employment through the three decades covered in this study. Also, results declare that leading role is dominated by male engineers for almost two out of the three decades covered in this research. The results also showed graduate’s tendency to additional sciences and practical skills beside general and basic engineering sciences that are already available in their academic program. Internet is generally their major resource of consultations for the engineers’ followed by other resources (academic professors, and books).

Heuristic Dispatching Rules for Dynamic Scheduling of Heavy Engineering Equipments

Luma Adnan Al-Kindi; Sawsan Sabeeh Al-Zubaidy; Alla Eldin H. Kassam

Engineering and Technology Journal, 2012, Volume 30, Issue 7, Pages 1154-1173

Dynamic scheduling problem has been an attractive area for researches to
investigate since a long time. Many techniques have been used to tackle such problems, but all of these techniques require high efforts to formulate the dynamic scheduling problems inorder to obtain optimal solution. Using Heuristic or dispatching rules to solve the dynamic scheduling problem is efficient and popular manner to reach an acceptable level of scheduling. In this paper hybrid techniques
are used in the proposed developed model. First the switching of four dispatching rules (Earliest Due Date (EDD), Slack Time (SLACK), Slack / Remaining Operations (S/ROP) and Priority Index) with the aim of choosing minimum tardy jobs. Second, scheduling-rescheduling approach is used to tackle the dynamic environment of job-shop problem depending on three level algorithms. Third, proposing three level algorithms, these levels are resource level, process planning level to improve scheduling with the aim of minimizing tardy jobs and shorten
"order-to-delivery", and job level to design rescheduling policy depending on identified factors of each job order. The developed model is applied to real data from the Heavy Engineering Equipment State Company/Baghdad, and considerable advantages are observed. Applying the proposed model lead to zero number of tardy jobs (NT) and zero mean tardiness (MT). It is obvious from the obtained results that by adopting such model, a better solution for job orders' due dates can be achieved; hence "order-to-delivery" time can be shortened