A Review of the Implementation of JIT Algorithms and Models in Production Systems

Intense competition in today’s economy, the shrinking life cycles of products, and the heightening expectations of customers have forced business enterprises to focus their attention on correctly arranging and controlling their production and supply chain systems. Thus, manufacturing firms/industries adopt JIT techniques to enjoy competitive advantage. In this paper, a literature review is presented to show the important applications of JIT Algorithms and Models in Production Systems. The purpose of this step is to review the results obtained from the implementation and to provide the practical recommendations for further improvement. This will help reveal practical issues encountered in the implementation. All these issues should become main concerns if the manufacturing Plant wants to get maximum benefits from the JIT implementation. This study bridged a research gap by identifying a framework for re-design of manufacturing systems into practical optimum Just-In-Time systems. The conventional JIT approach is mostly applicable to static production systems and the dynamic production systems require a more practical integrated JIT approach

Real-Time Human Trajectory Dataset Capture Model (RT-HTDCM) using GPS and Assisted-GPS Technologies: African Perspective

Movement is one of the characteristics of human beings that allow them change their location with time in their environment to obtain essential requirements of life and also take part in other social life activities. A moving person always leave trajectory (trace) through which he/she passed. But it is often difficult for people to divulge information about their trajectories.  However, the information is often needed or required, for business, security, social, etc, reasons to monitor their trajectories and infer what led them through these trajectories. With the recent development in Telecommunications and ICT (Information & Communications Technology ) in combination with Global Positioning System (GPS) technology, traces of moving persons can be recorded digitally on real-time using GPS-enabled devices such as Smartphones, PDAs, Pads, and Cameras assigned to them. In this paper, we proposed a model for developing real-time human trajectory dataset capture software that uses GPS and Assisted-GPS Technologies on Smartphones for tracking and recording of such movement traces of individuals in African developing country, Nigeria. Some smartphones installed with the model (RT-HTDC software) were tested in geographical areas of Federal Capital Territory (FCT), Abuja, Nigeria, and samples of date/time-stamped location points of these smartphone-users were captured and recorded. These location points if connected sequentially can form trajectories (traces) of smartphone-users. Keywords: GPS, Assisted-GPS, Smartphones, location-log, Trajectory, Moving Objects

Agent Based Markov Chain for Job Shop Scheduling and Control: Review of the Modeling Technigue

ABSTRACT Owing to its impact on the industrial economy, the job shop scheduler and controller are vital algorithms for modern manufacturing processes. This paper is concerned with the review of the modeling of agent based markov chain for job shop scheduling and control. The work adopts an alternative view on job-shop scheduling problem where each resource is equipped with adaptive agent that, independent of other agents makes job dispatching decision based on its local view of the plant. Given the fact that agent based modeling is proven to be an effective way of modeling complex systems that are not easy to characterize analytically, this work is focused on addressing the JSP by developing an agent based model in which all information of the dynamics of the model is formulated as a Markov chain

Application of Green Computing at Nigerian Tertiary Institutions

Communication in Physical Sciences, 2022, 8(4):471-477 Authors: Nnaemeka Emeka Ogbene, Hyacinth Chibueze Inyiama, Frank Ekene Ozioko, Nnamdi Johnson Ezeora, Agbo Chibuike George and Asogwa Tochukwu ChijinduReceived: 12 August 2022/Accepted 29 September 2022 Green computing (also called green technology) is the use of computers and other computing devices/equipment in energy-efficient and eco-friendly ways to conserve energy and reduce climatic change to its barest minimum. The frequent use of variouscomputing devices such as desktop computers, mainframe computers, data centres, and other electronic gadgets at tertiary institutions by a very large number of both staff and students result in energy being dissipated at regular intervals which may lead to climatic change and global warming that are hazardous to human health. Warmer temperatures over timecan change weather patterns and disrupt the usual balance of nature thereby posing many health risks to human beings and all other forms of life on earth. In this work, object-oriented analysis and design technology (OOADM) and unified modelling language (UML) tools were employed to develop a template for the application of green computing at Nigerian tertiary institutions. The two UML tools used: use-case and activity diagrams, show the various actors involved in the usage of green computing at tertiary institutions and the sequential steps required by each of the actors in using the green computing in his/her domain, respectively. The template well adopted by all the tertiary institutions and other establishments in Nigeriawill help to conserve energy and reduce climatic change drastically, thereby creating a healthy environment.Keywords: Green computing, climatic change,computing devices, Nigerian tertiary institutions, object-oriented analysis anddesign technolog