Conference Papers & Presentations (Industrial and Systems Engineering)

Permanent URI for this collectionhttp://hdl.handle.net/2263/50265

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    Integrating lean six sigma with sensors and IoT monitoring technologies to optimize efficiency in construction projects
    (MDPI, 2024-11) Mophethe, Modiehi Mathabo Mirriam; Ayomoh, Michael Kweneojo; u16005563@tuks.co.za
    This research focuses on improving construction project workflow efficiency using a hybrid scheme of Lean Six Sigma and monitoring sensors. Real-time data and automated monitoring improve project timeframes by detecting waste and eliminating inefficiencies. The study found that delays were primarily caused by long lead times, delayed order placements, and job rework. The sensor-enhanced EOQ model and CiteOps software reduced delays, highlighting the importance of continuous technology integration for long-term efficiency and sustainability in building projects.
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    Design and development of an effective sensing and measurement procedure for tasks for system-of-systems Engineering Management in the agro-seed nurturing industry
    (MDPI, 2024-11) Schoeman, Maryke F.; Ayomoh, Michael Kweneojo; maryke.schoeman@up.ac.za
    This research has quantified, through algorithmic sensing and metrication, the minimum management effort required by a System-of-Systems (SoS) overseeing entity to competitively manage the complex network of systems that form a heterogenous SoS cluster. In a bid to achieve this, a holistic and integrated framework depicting a SoS network of 35 constituent systems in the agricultural grain industry was developed. Furthermore, a quantitative mechanism via the Hybrid Structural Interaction Matrix (HSIM) concept was deployed. From this, it was realized that the effective minimum management score required for the attainment of competitiveness in holistic management herein is 0.534067.
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    Designing a low-cost automated mobile robot for South African citrus farmers
    (MDPI, 2024-11) Smit, Philip B.; Ayomoh, Michael Kweneojo; u19135956@tuks.co.za
    Citrus farming in South Africa has become extremely lopsided in terms of economic opportunities. The statistics show that the wealthy large-scale farmers simultaneously control 100% of the international export market and 77.1% of the local market, hence endangering the prospect of the small- and medium-scale farmers. This research presents a novel, low-cost autonomous mobile robot (AMR) designed to support small- and medium-scale citrus farmers in South Africa, enhancing their competitiveness in both local and international markets. Developed using GENESYS software 2023 University Edition for systems integration, the AMR offers real-time crop monitoring to aid phytosanitary regulations compliance, autonomous navigation with object avoidance, error alerts, GPS functionality, and auto-homing when battery levels drop to 30%. Additionally, it captures periodic snapshots of citrus crops for visual inspection and assists with proof of protocols for sustaining citrus and treating infected trees, hence increasing its credibility and accountability for export and local markets. The AMR represents a significant advancement in affordable smart technology for sustainable citrus farming.
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    Sustainability enhancement of the coal based direct reduction of iron premised on a rotary kiln
    (Springer, 2023-04) Nyakudya, Ratidzo Yvonne; Ayomoh, Michael; michael.ayomoh@up.ac.za
    Sustainability of steel manufacturing industries in most under developing economies around the globe has become an issue of concern bothering around both environmental and systemic sustainability. The principles of circular economy (CE) in systems thinking (ST) have been proposed in this paper as a measure towards augmenting the sustainability of coal based Direct Reduction of Iron (DRI) process. The DRI approach for steel production is preferred for economic reasons in most low-income countries, even though it is an inevitably dirty process, emitting gaseous and solid wastes in large quantities. The pollution level of the DRI process violates the United Nations sustainable development goal no. 13 which focuses on climate action. The concept of CE in ST has been presented as a comprehensive measure that is capable of reducing and aiding with the recovery of wastes in the DRI process through effective tracing, tracking and control within an integrated network.