Farhana Johar

Universiti Teknologi Malaysia | UTM · Department of Mathematics

Multimodal transportation is a highly effective method for optimizing deadlines and reducing inventory costs, both of which are crucial in a supply chain environment. This study employs a mathematical programming model to optimize the supply chain profit for multimodal transportation distribution within a specified time window. The model considers...

Eye tracking is a popular indicator to measure student’ attention and ability to focus based on eye movement and eye position. In this era of Education 4.0, interface design, user experience and privacy issues prevent people from using wearable devices, which make it difficult to measure paper visual behavior and fine eye movement for several diffe...

Nowadays, businesses in any sector are under pressure to do more with less. Company cannot afford to pay more and squander opportunities to free up their company’s cash, i.e. working capital. Good working capital gives greater availability to the cash trapped on your balance sheet which is beneficial to fund growth, reduce costs, enhance service le...

In this paper, we concentrate on the investment problem of fixed deposit (FD). Our problem is to allocate the amount invested to a suitable tenure and obtain the optimal investment. There are two types of maturity that need to be considered which are short-term and long-term. Our objective is to maximize the total return of the total amount investe...

A new topic of Zero Energy Building (ZEB) is getting famous in research areabecause of its goal of reaching zero carbon emission and low building cost. Renewableenergy system is one of the ideas to achieve the objective of ZEB. Genetic Algorithm (GA)is widely used in many research areas due to its capability to escape from a local minimalto obtain...

Undoubtedly, early detection and characterization of brain tumor is critical in clinical practices. Automated diagnosis using neuroimaging tool like MRI guided by machine learning approaches has been the focus of numerous researches. In this study, various feature extraction, dimensionality reduction and supervised classification models are explore...

Manual interpretation of these huge amounts of image volumes are susceptible to inter-reader variability and human error. Thus, accurate automated CAD scheme is highly desirable in clinical pathological diagnosis. In this research, plethora of machine learning paradigms (e.g. feature extraction, dimensionality reduction and supervised classificatio...

This research is focused on two types of finite abelian groups which are the group of integers under addition modulo , and the group of integers under multiplication modulo , where is any positive integer at most 200. The computations of some properties of the group including the order of the group, the order and inverse of each element, the cyclic...

Radiation therapy is one of the cancer cells treatments that use high-energy radiation to shrink tumors and kill cancer cells. Radiation therapy kills cancer cells by damaging their DNA directly or creates charged particles within the cells that can in turn damage the DNA. As a side effect of the treatment, the radiation therapy can also damage the...

This work presents a study on a problem of production and distribution planning. The problem considers a make-to-order production-distribution system with one manufacturer and many customers. The manufacturer (at the depot) produces the products once customer orders have been received. Distributions to the customers associated with a set of orders...

The main goal of our study is to develop a realistic mechanistic model of the effect of ionizing radiation on DNA in mammalian cells. We consider a population of cells structured by the number of DNA double strand breaks due to radiation. Using the system of linear differential equation, the model describes the evolution of the irradiated populatio...

This paper addresses the Vehicle Routing Problem (VRP) with time constraints which been solved by several heuristic algorithms. The problem starting at the depot where the customer orders which associated with due date determined by customer, are released with different point of time. Ideally, to avoid any lateness in delivery process, the orders n...

This work is concerned with solving the vehicle routing problem (VRP) which takes into account the customer's release and due date. The problem studied can also be categorized as a non-classical VRP as the departure times of vehicles depend on the dates of orders released from the production line and become available for the distribution process. H...

The problem we consider in this study is Time Dependent Vehicle Routing Problem (TDVRP) which has been categorized as non-classical VRP. It is motivated by the fact that multinational companies are currently not only manufacturing the demanded products but also distributing them to the customer location. This implies an efficient synchronization of...

This research is classifies as non-classical Vehicle Routing Problem (VRP) where the maximum release date of customer’s demand of the route determine the vehicle departure time. Thus, there could be lateness on the delivery process from awaiting all customers’ demand of the route to be released. A mathematical formulation is developed to represent...

Two major problems are involved in VLSI design, namely, the placement of components and routing between these components. Single row routing problem is a combinatorial optimization problem of significant importance for the design of complex VLSI multi layer printed circuit boards (PCB's). The design involves conductor routing that makes all the nec...