Abstract:Managers have to make decisions several times a day. The decision-making process can be defined as an essential activity realized by managers every day. Decisions can be implemented intuitively, or by using relevant decision-making methods. This depends on the nature of the decision, as well as the intensity of its possible future effects. The theory of decision-making can be defined as a relatively young discipline. It can be stated that decision-making is no longer an intuitive process. Most decision-making … Show more
“…The AHP was used because of its simplicity. It facilitates the decomposition of the problem into a hierarchical structure and ensures that the qualitative and quantitative aspects of the problem are taken into account simultaneously in the evaluation process where expert judgments are taken into account through an even comparison matrix (Saaty 1980;Siekelova et al 2021). The weights of the various indicators were established by following the steps and procedures recommended by Saaty (1990), including the development of the hierarchy structure, pairwise comparisons, the establishment of the pairwise comparison matrix, the calculation of priority…”
Section: Weighting Dimensions and Indicatorsmentioning
The aim of this article is to assess the sustainability of rural water service in the Mvila Division (Southern region of Cameroon) in order to constructively feed the debate on the most effective ways to improve access to rural water service in sub-Saharan Africa. The methodological approach was based on the application of the Water Service Sustainability Index (WSSI) and was implemented through technical inspection of the rural drinking water supply system (RDWSS), the semi-structured interview, and a survey of 103 service providers. Results show that the sustainability performance of rural water service in the Mvila Division is poor–medium. The highest aggregate value of the WSSI was obtained in the Mvangan council (59.54%) followed by the Ngoulemakong council (47.99%), Biwong Bulu (38.53%), Efoulan (33.99%), Biwong Bane (31.51%), Ebolowa I (28.96%), Ebolowa II (28.19%), and Mengong (26.57%). Results also show that rural water service is influenced by factors such as the low pricing of rural water service, climate risk, the poor structuring of the maintenance chain, and the weak commitment of the municipal authorities. However, this study represents only a current snapshot of rural water service delivery conditions and should be conducted at regular intervals to track changes in overall and local conditions.
“…The AHP was used because of its simplicity. It facilitates the decomposition of the problem into a hierarchical structure and ensures that the qualitative and quantitative aspects of the problem are taken into account simultaneously in the evaluation process where expert judgments are taken into account through an even comparison matrix (Saaty 1980;Siekelova et al 2021). The weights of the various indicators were established by following the steps and procedures recommended by Saaty (1990), including the development of the hierarchy structure, pairwise comparisons, the establishment of the pairwise comparison matrix, the calculation of priority…”
Section: Weighting Dimensions and Indicatorsmentioning
The aim of this article is to assess the sustainability of rural water service in the Mvila Division (Southern region of Cameroon) in order to constructively feed the debate on the most effective ways to improve access to rural water service in sub-Saharan Africa. The methodological approach was based on the application of the Water Service Sustainability Index (WSSI) and was implemented through technical inspection of the rural drinking water supply system (RDWSS), the semi-structured interview, and a survey of 103 service providers. Results show that the sustainability performance of rural water service in the Mvila Division is poor–medium. The highest aggregate value of the WSSI was obtained in the Mvangan council (59.54%) followed by the Ngoulemakong council (47.99%), Biwong Bulu (38.53%), Efoulan (33.99%), Biwong Bane (31.51%), Ebolowa I (28.96%), Ebolowa II (28.19%), and Mengong (26.57%). Results also show that rural water service is influenced by factors such as the low pricing of rural water service, climate risk, the poor structuring of the maintenance chain, and the weak commitment of the municipal authorities. However, this study represents only a current snapshot of rural water service delivery conditions and should be conducted at regular intervals to track changes in overall and local conditions.
“…e calculations made by AHP can often be influenced by the expertise of decision-makers, which means that the AHP should be regarded as an instrument that can convert the assessments made by the decision-maker into a multi-criterion ranking (qualitative and quantitative). Furthermore, the AHP is straightforward so the decision-maker has no need to construct a sophisticated expert method [10]. In contrast, the AHP can require a number of user feedbacks, especially in case of problems with various requirements and choices.…”
Section: Introductionmentioning
confidence: 99%
“…e number of comparisons combined with the number of parameters and alternatives actually increases quadratically [10]. In addition, the sensitivity analysis is a critical step in deciding whether the solution is stable and implementable when constructing models using the analytic hierarchy process.…”
In this study, different operating parameters which contributed to the fouling formation were identified, while taking into consideration the heat and mass and balance. The effects of three operational parameters viz: reactor temperature, reactor pressure, andcatalyst ratio, feed to and out of reactor and heat exchanger cleaning time on the optimal yield were succinctly investigated using an empirical mathematical model. The optimum per pass conversion (PPC) that maximizes yield and extends pump around loop (PAL) days in service was obtained using the analytic hierarchy process (AHP). The result obtained under the optimum operational condition shows an increased yield from 84 to 85.5% and a 1% improvement in the 1-butene selectivity. Moreover, due to the decrease in maintenance activities, production increased by 1000 tons per annum. In addition to this, the cleaning cycle of the pump around the loop was extended by 9 days and the man-hour cleaning requirement was reduced by 91 days. The operating time of the pump around the loop increased by 30 days per loop with a corresponding reduction in the cleaning time of 50 h which resulted in maximum yield. This study, therefore, presented a design from the sensitivity analysis conducted with the potential benefit of informed decision-making in the process of making a trade-off between optimizing variable cost with the cost of maintaining the Alphabutol technology.
“…e rst stream focuses on concept selection, also known as idea evaluation, in the front end of the innovation process [1][2][3][4][5]. e second stream of literature demonstrates applications of the analytic hierarchy process (developed by Saaty) in project selection [1,[6][7][8], for di erent industries such as IT (information systems) [9], energy [10], computing and automation [11], and research and development [12]. e third stream emphasizes the use of mathematical models [13][14][15] in the context of decision-support tools to solve project selection problems.…”
Purpose. This study applies a novel approach that integrates AHP with integer linear programming (ILP), to address a gap in management literature regarding the need to consider both sustainability and COVID-19 impact on project selection, with a view to avoid implementation failures. Design/Methodology/Approach. A case study approach involving experts in semiconductor manufacturing was conducted, using the Delphi method, to determine weights of various criteria, including additional new criteria associated with both sustainability and COVID-19 issues considered in the selection decision for four candidate projects. Findings. Integrated results revealed two projects to be selected (projects 1 and 3). Whilst AHP results revealed more information about the ranking of all four projects, the ILP model results complemented the findings by indicating that 2 projects (projects 1 and 3) should be selected, taking account of not only resource constraints but also sustainability issues and customer behavior towards selected projects, influenced by COVID-19 impact. Originality/Value. The value lies in not only proposing a novel framework that integrates AHP with ILP but also adding to our understanding of the importance to incorporate both sustainability and COVID-19 impacts on semiconductor industry project selection, both of which have significance for the industry in terms of maximizing implementation success for selected projects.
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