International Journal of Industrial Engineering and Productional Research
Volume:35 Issue: 1, Mar 2024

This article analyses what determines remittance inflows into Malaysia. Using Autoregressive distributive lag (ARDL) approach, the study used time-series data for the period 1987-2018. The study the validated theory that says remittance inflows ought to be encouraged through determinants such as real wages, inflation, financial development, exchange rate among others. Variables like exchange rate, inflation, gross domestic product growth, financial development and real wages significantly determine the remittance received into Malaysia. Precisely, inflation and real wages significantly impacted and positively encouraged remittance inflows into Malaysia from abroad. On the other hand, remittance inflows reacted negatively to gross domestic products growth, exchange rate and financial development. Furthermore, the significance of the determinants differs. Precisely, real wages happen to be additionally responsive in comparison to inflation and the reason is that its elasticity is greater. In addition, both inflation and real wages have great impact in Malaysia. This study recommends that the determinants of migrants’ remittances in the country should be given attention which will strongly aid in employing remittances for the reduction of poverty, rising investment at the national level and therefore, aid in boosting growth and enhancing sustainable development to Malaysia.

Due to the many applications of the travelling salesman problem, solving this problem has been considered by many researchers. One of the subsets of the travelling salesman problem is the metric travelling salesman problem in which a triangular inequality is observed. This is a crucial problem in combinatorial optimization as it is used as a standard problem as a basis for proving complexity or providing solutions to other problems in this class. The solution is used usually in logistics, manufacturing and other areas for cost minimization. Since this is an NP-hard problem, heuristic and meta-heuristic algorithms seek near-optimal solutions in polynomial time as numerical solutions. For this purpose, in this paper, a heuristic algorithm based on the minimum spanning tree is presented to solve this problem. Then, by generating 20 instances, the efficiency of the proposed algorithm was compared with one of the most famous algorithms for solving the travelling salesman problem, namely the nearest neighbour algorithm and the ant colony optimization algorithm. The results show that the proposed algorithm has good convergence to the optimal solution. In general, the proposed algorithm has a balance between runtime and the solution found compared to the other two algorithms. So the nearest neighbour algorithm has a very good runtime to reach the solution but did not have the necessary convergence to the optimal solution, and vice versa, the ant colony algorithm converges very well to the optimal solution, but, its runtime solution is very longer than the proposed algorithm.

Life cycle assessment (LCA) is a valuable tool not only for analyzing the environmental impact of a product but also for assisting in early-stage product development before incurring scaling-up costs. When validating a new process or project, it may be constrained to align with existing regulations or standards. Therefore, combining LCA with other applicable standards is essential to demonstrate the project's feasibility. In this regard, the water quality index (WQI) and Water Exploitation Index (WEI) provide additional information that reflects the overall water quality at a specific location and time. The objective of this study is to utilize the LCA framework in conjunction with the Malaysia WQI and WEI to protect the water quantity and water quality of the river. A negative change in the WQI score indicates that the current effluent from the process is degrading the river's classification, rendering it undesirable and necessitating a reduction in concentration. The findings demonstrate that the method for determining effluent requirements for a water treatment system is straightforward and replicable. Such an approach could be employed, for example, in an environmental impact analysis of a project to verify its viability.

The automobile workshop queue system has been optimized using various approaches, such as queuing theory, simulation, and probability. The utilization of response surface methodology (RSM) for optimizing automobile workshop queue systems is not yet established. The utilization of RSM with direct observation enables the detection of patterns of correlations between variables and responses, which are then represented through mathematical equations. The optimization process involves numerous factors that impact queue performance, which can be categorized into two parts. The number of servers, number of phases, number of workers, worker experience, and layout are classified in inner design. This study examines the relationship between two components of the outer design, specifically the arrival rate and the interarrival time. The responses analyzed are queue cost, service time, average customer waiting time, and number of customers. The findings indicate that queue costs are not reliable for establishing the optimum value due to the significant impact of the cost structure on the structure of the optimal location. This study discovered that the number of leaving customers is related to queue costs and is relevant in selecting the optimal point. This study also formulates mathematical equations for predicting the optimal point. This study emphasizes the necessity for further investigation to uncover alternative mathematical equations that can precisely predict the optimal conditions for various types of services.

The construction supply chain is presently the focus of considerable interest among numerous project-related businesses. Strong project management is essential for the effective completion of a project, since restricted budgets and time constraints are considered for each project. The research uses multi-objective linear programming to create a mathematical model of the building supply chain. The primary aims of the present investigation are to limit the expenses associated with logistics and to diminish the release of greenhouse gases caused by transportation. Given the reality of managing several projects concurrently, the model provided comprises a network of projects. Following the completion of each project, an inspection is arranged to assess its level of success. Estimating the costs of a project relies on several variables. In reality, there are always uncertainties highlighted in several studies about the uncertainty of cost and time parameters. This research incorporates many characteristics concurrently to simulate real-world settings and address the issue of uncertainty. The expression of uncertainty for all costs, activity length, inspection, supplier capacity, and resource demand are represented by triangular fuzzy numbers. Ultimately, the precision of the model's performance has been verified using a numerical illustration.

Green human resources management (GHRM) represents the process of generalizing and incorporating various environmental practices in the field of HR policy and is considered one of the most important elements of supporting sustainable development. Therefore, companies today must flexibly determine pro-environmental HR practices and the extent of their impact on sustainable development. This study aimed to determine GHRM practices for Jordanian service companies listed on the Amman Stock Exchange to promote sustainable development. The study data was collected using the analytical and descriptive methodology. A random sample was selected including 383 administrative employees in 139 Jordanian service companies. Data were collected using an electronic questionnaire and analyzed using the Statistical Package for the Social Sciences (SPSS). The statistical results showed that there is a strong positive relationship to the impact of GHRM in promoting sustainable development for Jordanian service companies. Based on the results, the study recommended the necessity of service companies adopting the concept of GHRM and its impact on sustainable development. It also recommended that the organization should actively work to promote constructive transformation within societal institutions and spread knowledge and awareness related to the impact of GHRM on sustainable development and thus call for its advancement.

Although the existence of swimming pools is very important for people who need to exercise or just have fun with their families, there are still few studies conducted to explore how to analyze the strategic planning of swimming pool companies in order to grow and develop. For this reason, this research will carry out strategic planning for the company Oasis Pool. The research stage consists of analyzing the internal and external strategies of the Oasis Pool company using the AHP SWOT method. In the second stage, a structural analysis of Oasis Pool's corporate strategy is carried out using the interpretative structural modeling (ISM) method. The results showed that the most appropriate strategy in the development of Oasis Pool's business is a growth strategy. This strategy can be implemented by maximizing fast response services and always maintaining spare parts availability to increase customer satisfaction. Furthermore, the key element of the strategy that will determine the success of Oasis Pool's corporate strategic planning is to maintain fast response to improve service quality. In order to maintain Oasis Pool's business to grow and develop and win the market competition, it is necessary to do the following things such as: design a good work system, active management to make improvements and innovations and keep up with technological developments. The main contribution of this article is to assist swimming pool managers such as Oasis Pool in carrying out effective strategic planning using AHP - SWOT and ISM methods.