Faculty of Accounting and Informatics
Permanent URI for this communityhttp://ir-dev.dut.ac.za/handle/10321/1
Browse
7 results
Search Results
Item Multiobjective optimization of crop-mix planning using generalized differential evolution algorithm(2015) Adekanmbi, Oluwole; Olugbara, Oludayo O.This paper presents a model for constrained multiobjective optimization of mixed-cropping planning. The decision challenges that are normally faced by farmers include what to plant, when to plant, where to plant and how much to plant in order to yield maximum output. Consequently, the central objective of this work is to concurrently maximize net profit, maximize crop production and minimize planting area. For this purpose, the generalized differential evolution 3 algorithm was explored to implement the mixed-cropping planning model, which was tested with data from the South African grain information service and the South African abstract of agricultural statistics. Simulation experiments were conducted using the non-dominated sorting genetic algorithm II to validate the performance of the generalized differential evolution 3 algorithm. The empirical findings of this study indicated that generalized differential evolution 3 algorithm is a feasible optimization tool for solving optimal mixed-cropping planning problems.Item Examination of employee factors influencing organisational productivity: Perspective of a public entity(Virtus Interpress, 2015) Green, Paul; Adekanmbi, OluwoleThe influence of employees’ challenges on productivity at a provincial department in KwaZulu-Natal has been notably affecting the overall provision of houses and sanitation (service delivery). According to the Annual Performance Plan 2013/14 – 2015/16, the improvement of efficiency and quality of human settlements’ services is one of the strategic goals which focuses on the overall organisational productivity; however, it fails to consider employees’ day-to-day challenges. Thus, the primary purpose of this paper is to investigate challenges at an operational level and determine the impact they have on productivity. Using a quantitative approach, a questionnaire was distributed to a convenience sample of 180 employees within the department. Applying factor analysis, the findings indicate Leadership as having the highest impact while Work-Life Balance displayed the least impact on Organisational Productivity. The results of this study are beneficial to other local, provincial and national public entities.Item Assessment of user authentication risks in a healthcare knowledge management system(The Clute Insitute, 2015) Adekanmbi, Oluwole; Green, PaulRisk management is a concept which has becomes very popular with a number of national and international businesses. Many companies often establish a risk management procedure in their projects for improving performance and increasing profits. Projects undertaken in the construction sector are widely complex, often having significant budgets; therefore, reducing risks associated with projects should be a priority for each project manager. Patient information security has become a matter of interest to healthcare professionals, governments and researchers worldwide. This paper proposes a comprehensive risk assessment methodology that provides a decision support tool, directed to a healthcare system, which can be utilized for evaluating risk involved during user authorization and authentication procedures. Within this context, a process technique was implemented to develop a risk assessment model, which is used to derive the relative priorities of the risk factors associated with a healthcare knowledge management system. The study showed risks involved when users are accessing a healthcare system. It proposes a model for assessing each risk occurring during the user authorization and authentication process. The results of the knowledge generated from the risk assessment provide a basis for deriving a system performance that is desirable for evaluating risk.Item Factors affecting the improvement of service quality at Universities of Technology: the case of South Africa(IFRD, 2014) Green, Paul; Adekanmbi, OluwoleSeveral research studies have been conducted on the evaluation of service quality at conventional universities. However, this study focuses on universities of technology which are fast growing value-based educational institutions in South Africa. The uniqueness of this study highlights the issues that can affect the improvement of service at universities of technology. Three factors namely: Organizational issues, Educational issues and Staff &Student issues were extracted as the main foci in the improvement of service at universities of technology. A mixed method methodology and an action research approach were employed in this study. The results obtained using factor analysis provides a basis for driving an equation system for evaluating the impact of the issues with respect to the factors named above. The results also show that some extraneous factors that are external to service delivery, have a substantial effect on the quality of service at universities of technology.Item A Meta-Heuristics based decision support system for optimal crop planning(MCSER Publishing, 2014-09) Adekanmbi, Oluwole; Green, PaulThis paper presents a meta-heuristic based decision support system to support farmers with optimal strategic decision making in the crop planning system. The analysis and modelling of crop planning decision making process are attractive for producing formalized knowledge on cropping plans in an agricultural farm. The formalization of the decision making process is generally becoming a crucial focal point for developing decision support systems that go beyond the limitation of formerly developed prescriptive approaches. The methodology of this research strikes a balance between mathematical formulations of crop planning problems and effective implementation of crop planning decision models. The new approach used to solve this problem is applicable to both medium and large scale farming; it is also integrated a systemic framework to build better decision support systems in agriculture.Item Conceptual comparison of population based metaheuristics for engineering problems(Hindawi Publsihing Corporation, 2015) Adekanmbi, Oluwole; Green, PaulMetaheuristic algorithms are well-known optimization tools which have been employed for solving a wide range of optimization problems. Several extensions of differential evolution have been adopted in solving constrained and nonconstrained multiobjective optimization problems, but in this study, the third version of generalized differential evolution (GDE) is used for solving practical engineering problems. GDE3 metaheuristic modifies the selection process of the basic differential evolution and extends DE/rand/1/bin strategy in solving practical applications. The performance of the metaheuristic is investigated through engineering design optimization problems and the results are reported. The comparison of the numerical results with those of other metaheuris-tic techniques demonstrates the promising performance of the algorithm as a robust optimization tool for practical purposes.Item Assessment of user authentication risks in a healthcare knowledge management system(The Clute Institute, 2015) Adekanmbi, Oluwole; Green, PaulThis paper proposes a comprehensive risk assessment methodology that provides a decision support tool, directed to a healthcare system, which can be utilized for evaluating risk involved during user authorization and authentication procedures. Within this context, a process technique was implemented to develop a risk assessment model, which is used to derive the relative priorities of the risk factors associated with a healthcare knowledge management system. The study showed risks involved when users are accessing a healthcare system. It proposes a model for assessing each risk occurring during the user authorization and authentication process. The results of the knowledge generated from the risk assessment provide a basis for deriving a system performance that is desirable for evaluating risk.