Order Pattern Prediction Using Artificial Intelligence In An Inventory System Design

Achieving smmooth production is one of the major concern by the manufacturing industry. In order to have smooth production, waste must be avoided. Furthermore, the cost of investment in production can be high with contribution of Wasted activities especially high inventory management cost. Economic Order Quantity (EOQ) has been applied in inventory management in order to determine economic lot size. However, EOQ has limitation due to uncertain situation. Thus, the aim of this study to reduce cost investment in inventory. This study has three objectives, (1) to investigate ordering pattern ordering pattern which is affected the inventory, (2) to propose order pattern in inventory using ANFIS and (3) to evaluate proposed order pattern with cost investment. The study was conducted based on case study at the furniture company. The historical data of demand and supply was provided for 52 weeks. Firstly, the inventory level was investigated with the historical data based on stochastic EOQ model. From the investigation, shortage occurred because order does not make for a long time. Hence, the total cost of inventory was high. Then, investigated order pattern using Fuzzy Inference System and shortage still occurred. Thus, manual prediction order pattern was developed which to ensure the inventory just below reorder point. This purposed to ensure that every week order was took placed and shortage was avoided. Adaptive Neuro Fuzzy Inference System was used in order to find the parameters in forecasting the order quantity. The result showed that the proposed order pattern can avoid shortage and every week the inventory is below reorder point. Every week order is take place. Also, the total cost is reduced since no shortage occurs

The augmented reality educational tool for learning 2D and 3D space content in primary school

Space is a Mathematics topic for the second level in Kurikulum Standard Sekolah Rendah (KSSR) syllabus that is difficult for primary school pupils to understand because it requires them to visualize the 3-dimensional shapes and 2-dimensional polygons in solving Mathematical questions. Therefore, Augmented Reality (AR) is proposed due to its potential as it allows pupils to visualize the 3-dimensional and 2- dimensional shapes practically. The objective of this research is to develop an effective AR educational tool based on User Experience (UX) and the identified needs for primary school pupils to visualize 2-dimensional and 3-dimensional shapes in learning Mathematics on Space topic. ASSURE instructional design model and quantitative approach have been used in this research. The quantitative approach focused on analysing users⁵ needs for the AR educational tool that has been developed and analysing its effectiveness. It involved surweys on the users' needs and the effectiveness of the AR educational tool. This AR educational tool was developed following Waterfall Methodology and its effectiveness was evaluated using ISO/IEC 25022. All data were analysed to find the mean and were used to determine the users' needs for the development of the AR educational tool. The findings of the research include a list of user needs, a successfully developed AR educational tool based on the UX, and users' needs obtained. The high mean of effectiveness test shows that the users were satisfied with the AR educational tool that had been developed. This research is very important as an effort to increase pupils9 understanding of space topic and assist primary school teachers to implement teaching sessions more effectively

Sliding Mode Controller Design Based on Pole Placement Method / Nor Laili Mahmud...[et al.]

Over the years, many researchers have considered the problem of stabilizing uncertain systems. In variable structure control (VSC) system, the controller structure around the plant is intentionally changed by using a viable high-speed switching feedback control to obtain a desired plant behavior or response. In this paper, the problem of designing a VSC law for uncertain system, Electrohydraulic control system is considered. Using Pole Placement approach, an alternative design method of a linear sliding surface which is linear to the state is developed. A sufficient condition for the existence of linear sliding surface is given and an explicit formula of linear sliding surfaces guaranteeing the quadratic stability of the reduced-order equivalent system dynamics restricted to the sliding surfaces is derived. The sliding mode controller is then applied to an Electrohydraulic servo system. The simulation works were performed using MATLAB/SIMULINK software. A comparison for the controller design using Pole Placement Method with and without the sliding mode control shows that the Pole Placement method with a sliding mode control method produces a better performance response

Properties of Controlled Low-Strength Material Mixes Made from Wastepaper Sludge Ash and Recycled Fine Aggregate

As demarcated in the American Concrete Institute (ACI 229R-13), CLSM stands for controlled low-strength material, which is a self-consolidating cementitious material that can be used as a backfill instead of compacted fill. However, the usage of CLSM in the construction industry was limited to backfilling, structural filling, void filling, and erosion control due to low compressive strength. On the other hand, using materials that can replace the material responsible for greenhouse gases has been promoted globally to halt the incidence of global warming instigated by releasing greenhouse gases, mainly CO2, into the atmosphere. Waste paper sludge ash (WPSA) is one among them, and researchers have discovered that it can be used to substitute cement in the manufacture of CLSM effectively. In this research, CLSM were made using recycled fine aggregate (RFA) as fine aggregate and WPSA as cement replacement to determine the plastic and in-services properties of CLSM mixes made from both materials mentioned. For the plastic properties, the test included are flowability, bleeding and hardening test as for in-services properties, including the testing of density and compressive strength of CLSM produced. The testing of CLSM in terms of plastic and in-services properties was influenced by the water-to-cementitious ratio, WPSA replacement and total cementitious material. The flowability of CLSM is influenced by the amount of RFA and WPSA used in the design. The lower the water absorption, the more water will be absorbed and gives less bleeding. Therefore, different proportions of w/cm, WPSA replacement and total cementitious material of CLSM mixtures influence a product's plastic in-service properties. Its compressive strength was between 0.3 MPa to 4 MPa, which satisfied the backfill strength required by ACI 229R-13, and it can also be concluded that samples with higher cement content show higher compressive strength results than others

Administration of unclaimed estates in Malaysia: the peculiarities of unclaimed money, undistributed fund and bona vacantia

Issues relating to the complexities of unclaimed estates have become a national concern and a major recurring problem as the value of such estates is growing annually. However, despite the constant reports on the increasing value of unclaimed estates, it is very unfortunate that the exact types of unclaimed estates remain hitherto uncertain and not specifically identified. Hence, this paper aims to examine the peculiarities of unclaimed estates in the administration of the deceased’s estate in Malaysia. The main focus is to analyse the position of the unclaimed money, the undistributed fund and the case of bona vacantia for the estate of a person dying intestate and leaving no heir to inherit accordingly. The discussion adopts the doctrinal analysis by examining the existing primary and secondary materials including statutory provisions, case law and other legal and non-legal literatures. The paper finds that the existence of various laws that governs different types of unclaimed estates has led to the distinctive methods in the administration and management of such estates. Hence, it is highly important that these types of estates together with legal and procedural mechanisms relating to the administration of such estates are clearly identified so that productive elements of such estates would be activated to the advantage of the rightful beneficiaries

Optimizing PEMFC model parameters using ant lion optimizer and dragonfly algorithm: A comparative study

This paper introduced two optimization algorithms which are Ant Lion Optimizer (ALO) and Dragonfly Algorithm (DA) for extracting the Proton Exchange Membrane Fuel Cell (PEMFC) polarization curve parameters. The results produced by both algorithms are being compared to observe their performance. As a results, the ALO shows great performance compared to DA. Furthermore, these results also being compared with the results of the other reported metaheuristics algorithms. The ALO and DA presented competitive results

Inter-Row Tree Detection and Tracking Schemes For Structural Plantation Area

In this work, an inter-row tree detection and tracking techniques based on Simultaneous Localization and Mapping (SLAM) method is developed specifically for a well-structures agricultural field where the trees are planted uniformly with certain distance that leaves it with a number of inter-row spaces. The existing rows has created opportunities for an autonomous vehicle to navigate in between the trees to perform the plantation activities such as scouting, monitoring, rowing, pesticide spraying and others. A new approach to detect the landmarks and navigate in the farm based on the lightweight sensors and less computation effort is proposed. In this method, the tree detection and diameter estimation techniques implement the modified tree-triangle diameter technique by using innovative technique based on infrared sensors. Then, in substituting the GPS signal problems during the navigation and localization problems, a curve-based navigation approach is formulated. The path is planned based on the third-polynomial Bezier curve by projecting series of waypoints to create a solid path from one point to another. Then, the trajectory plan is derived for the autonomous vehicle to follow these waypoints during the navigation. At the same time, the mapping technique implements the memory utilization method in order to ease the localization process as well as landmarks mapping in the visual map which is oriented in two-dimensional coordinate format. All of these functions are created, formulated and tested thoroughly in the embedded microcontroller development board platform by using dsPIC30F6014A chip on the omnidirectional vehicle platform

Operational risk analysis for undesired polymerization in overhead condenser of butadiene column

An accident model based on fault tree analysis was developed and applied to analyze the recurrence of undesired reactions producing popcorn polymers in the overhead condenser of an industrial butadiene distillation column. The modeling framework incorporates reliability data associated with asset integrity and human performance along with data on selected process variables. These variables, i.e., pressure, feed velocity and temperature of the condenser, which were identified from root cause analysis of the incident provided dynamic contributions to the model, and were represented in the form of Weibull distribution functions. The results obtained proved the potentials of the proposed methodology. Based on the case study considered, operating pressure was identified as the most influential process variables that needed closer monitoring. The methodology provides an opportunity for risk management to be implemented dynamically to facilitate maintenance plan and management of change