In this paper, we discussed a literature on blood collection-distribution that based on vehicle routing problem. This problem emergence when the process from collection to stock up must be completed in timely manner. We also modified the mathematical model so that it will suited to general collection of blood. A discussion on its algorithm and solution methods are also pointed out briefly in this paper.

Slow-moving product is harmful to the business. The slow-moving products take up space and tie up the company’s capital and leave the company with fewer funds to invest in its business. Several factors can cause this issue. There are several methods ranging from statistics to heuristic methods for a company to identify slow-moving inventory but all of them rely on data. In this paper, a partitioning technique from the graph network is proposed to partition the inventories or products into a few clusters. It can help the company to identify what group does the product belongs to and at the same time suggest to the company which product can be paired up or bundled up together to clear up aging and slow-moving products. The partition technique is proposed, and the algorithm is coded using the Visual C++ programming language. The simulation results show that the proposed method can partition the task graph onto smaller subgraphs. The subgraphs called cluster consists of the nodes or products with similar purchase volume (the strong connection between the two nodes). Implementing the partitioning technique could help the companies or managers select the appropriate product to be paired together when doing the promotion.

This paper addresses a variant of the capacitated arc routing problems known as the mixed capacitated arc routing problem (MCARP) with multi capacity constraints. The MCARP represents closely real life situations since it takes into account directed and undirected links to serve customers in the associated network. A constructive heuristic based on insertion techniques is proposed to tackle the problem. Computational experiments were conducted using some randomly generated instances and the experiments show competitive results. Some avenues for future research are also highlighted.

The management of waste collection in urban areas is a critical issue for some developing countries especially in Malaysia which requires immediate attention. This paper attempts to make an analysis and assessment of the development of the waste generation distribution and the optimization solution of waste collection problem within Perlis, Malaysia. In this paper, the problem approached during research is modelled as a mixed graph of Capacitated Arc Routing Problem (MCARP). To obtain a better result, this research will use the previous method for solving MCARP mathematical modeling such as heuristic method. The obtained result will include the optimal total costs and provides good initial solutions based on real-life instances.

Nowadays, a significant number of researchers are focusing on utilizing soft computing approaches to address the issue of scheduling in applications concerned with hazardous waste management. In Malaysia, there is thoughtless awareness of the management of hazardous waste, even though the production of wastes in hazardous domains at the industrial and domestic levels has been rising lately. According to previous research findings, the location routing problem (LRP) can be designated as one of the models closer to the actual situation, evaluating the most suitable and optimal location for establishing facilities and utilizing transportation for pick-up and distribution. Recent studies have focused on enhancing the LRP model, and its methodologies approach to solve the waste management problem in hazardous domains. In this paper, a comprehensive review of the better promising and practicable mathematical model of LRP and its methodology approach is discussed, as well as an analysis of the publishing pattern and the trend of research over the preceding five years and more, as retrieved from the web of science (WoS) database. In conclusion, this research is significant in ensuring the effectiveness of reliable mathematical model development and suitable methodologies in the future for solving hazardous waste management problems.

Extreme rainfall prediction is a critical aspect in hydrological and climate research fields to estimate the probability of extreme events, such as heavy rainfa Extreme rainfall prediction is a critical aspect in hydrological and climate research fields to estimate the probability of extreme events, such as heavy rainfa