Industrial and Manufacturing Engineering Publications

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Industrial and Manufacturing Engineering Publications

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    Effectiveness and impact determination for Enterprise Resources Planning Systems: A case for manufacturing entities in Zimbabwe
    (NUST, 2021) Nduna, M.; Goriwondo, W.M.; Tayisepi, N.; Goriwondo, W.M.
    The research looked at utilization and impact of Enterprise Resource Planning (ERP) systems for manufacturing organizations in Zimbabwe. Existing literature on adoption of Enterprise Resource Planning systems, its utilization and benefits realized was reviewed. A survey of eighteen Zimbabwean manufacturing organizations was conducted to establish the utilization of Enterprise Resource Planning systems. The survey centered on operational, strategic, managerial, and Organizational functions and their interaction with the Enterprise Resource Planning systems. The strategic, managerial, and Organizational functions, results reflected positive feedback on the system usage. Operational functions had mixed responses with an overall of 58% being positive and 42% negative. Various impact dimensions were determined and mechanisms of effectiveness in the application of ERP systems established. The research went on to develop a tool using C-Sharp that organizations can use to determine their level of Enterprise Resource Planning system utilization and gave recommendations on how organizations can improve on their Enterprise Resource Planning system utilization for competitive advantage.
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    Zimwara, D., Maphosa, E., Goriwondo, W.Modelling the environmental impacts of noise and dust from quarry stone mining in Harare–a case study of Pomona Quarry
    (NUST, 2021) Zimwara, D.; Maphosa, E.; Nyadongo, S.T.; Goriwondo, W.M.
    Granite quarry mining has contributed significantly to infrastructure development of many nations and Zimbabwe is no exception. However it has also contributed to environmental pollution and other socio ecological ills. This study investigated the environmental impacts of quarry stone mining and processing at Pomona Quarry mine in Harare. Ambient noise and dust concentrations were measured at different distances and directions from the source. The correlation between the distance and noise level as well as dust concentration were carried out to determine a safety zone from the quarry mine. Multiple regression analysis of the data was conducted and a model developed for the prediction of noise and dust levels.
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    Agility as a strategy in Zimbabwean manufacturing industries
    (NUST, 2023) Muhla, T.; Mapindu, I.; Munyau, M.; Mhlanga, D.M.S.; Goriwondo, W.
    Customer needs as well as requirements are always in a continuous state of flux and more often than not, Manufacturing Companies find themselves in a quandary as they try to meet these. The inherent ability of Manufacturing Companies to meet the ever-changing customer requirements is key in ensuring that they are able to gain a competitive advantage over their counterparts as well as succeed in this highly volatile market. The advent of the COVID-19 pandemic as well as its noticeably widespread effects also brought about disruptive effects within an already turbulent environment as the Zimbabwean Manufacturing Sector was not spared the scourge of the pandemic. The organizations thus have to gain resilience so as to be able to thrive as well as grow competitively within their sector. The purpose of this paper was to assess how applicable the Agile Strategy is within the Zimbabwean Manufacturing sector as well as to come up with effective methods by which the strategy could be adopted by more organizations within the sector. The key drivers to the implementation of the strategy within these sectors as well as challenges associated with the implementation were also reviewed in depth.
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    Development of a condition based maintenance system for a sugar producing company
    (2014-07-14) Chindondondo, B.; Nyanga, L.; Merwe, A. V.; Mupinga, T.; Mhlanga, S.
    With globalisation taking centre stage in almost every market; traditionally monopolistic manufacturing companies in Zimbabwe are struggling to compete with international companies whose operations are optimised. This paper focuses on maintenance practises of a Zimbabwean sugar manufacturer with an aim to improve the company’s asset care plans. The company’s current maintenance philosophy and its shortcomings on certain equipment in the plant were identified together with the associated annual maintenance costs. A Pareto analysis on the equipment’s breakdown history was used to determine the conditions that can be monitored using Condition Based Maintenance (CBM); and experiments to establish the feasibility of monitoring these conditions were done. The paper then recommends and proposes a CBM system replete with its three main elements of data acquisition, data processing and maintenance decision making to reduce breakdowns on the subject equipment by at most 76%.
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    Soft Computing Methods for Predicting Environmental Quality: A Case Study of the Zimbabwe Sugar Processing Industry
    (2013) Zimwara, D.; Mugwagwa, L.; Nherera, K.
    Sugarcane growing and processing is associated with environmental degradation and pollution. The impact that sugar processing industries have on the environment affects the ecosystem. Methods of soft computing that is fuzzy logic, neural networks, and genetic algorithms can be adopted for environmental protection, particularly in the developing countries. Soft computing techniques, particularly neural networks and fuzzy logic, have been used to predict and sometimes control air quality. This paper looks at how fuzzy logic can be adopted for predicting air quality. The common environmental impacts associated with sugarcane production are water and air pollution. This paper focuses on air pollution. The major waste streams are identified and the extent of air pollution is predicted by classifying the air quality as poor, ordinary, very good, and excellent. This paper presents a fuzzy rule base that can be used to classify the pollutants and predict the air quality based on the amount of the specific pollutant in the air. The Mamdani fuzzy inference system is used to build the rule base, with the membership functions being non-intersecting and triangular. The adoption of fuzzy logic techniques will help sugar processing industries to be aware of the impact their operations have on the environment.