Browsing by Author "Wijayanayake, A.N."

Now showing 1 - 5 of 5

Determinant of Factors affecting Customer Satisfaction: Case of the Logistics Industry in Sri Lanka
(IEOM Society International, 2021) Egodawela, S. M. D. T. K.; Wijayanayake, A.N.; Peter, P.L.S.
Sri Lanka is a key transshipment hub on the important East-West trade route. In terms of logistics performance, Sri Lanka ranked 94ft out of 167 countries according to the World Bank's Logistics Performance tndicator (LPI) for 2018. If Sri Lanka is to exploit and leverage its positioning to its fullest potential, then it is imperative that the country must improve on its overall positioning in the index, by being competitive, improving on efficiency and being sensitive to customer needs, Improving customer satisfaction is crucial for business sustainability, and importantly act as a deterrent to prevent customer switching. Although previous research has captured the relationship between customer satisfaction and service quality through a combination of the SERVQUAL (Service Quality) or SERVPERF (Service Performance) model, there are other controllable factors that can influence this relationship. The study examines from both a service as well as the performance perspectives and incorporates other controllable factors that influence customer satisfaction. The study is based on the third-party logistics (3PL) industry in Sri Lanka.It considered all the important influencing factors and their relationships with each other in a systematic review process and was supplemented by reviews from industry experts and data inputs from 3PL customers. It was found that customer handling, tech initiation, competitive prices, and flexibility, have a significance impact over the all the dependent variables (Customer Loyalty, Switching Behavior, Customer Complaints). The results could be used by the service providers, to realign their offerings to suit the demands of its customers and help the country become a logistics hub for the region.
Forecasting dengue incidence based on entomological indices, population density, and meteorological and environmental variables in the Gampaha District of Sri Lanka
(Elsevier Ltd, 2024) Dalpadado, R.; Amarasinghe, D.; Gunathilaka, N.; Wijayanayake, A.N.
No abstract available
Minimising Last-Mile Delivery Cost and Vehicle Usage through an Optimised Delivery Network Considering Customer-Preferred Time Windows
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023) Abhilashani, G.Kasuri; Ranathunga, M.I.D.; Wijayanayake, A.N.
In the dynamic and developing e-commerce era, last-mile delivery has emerged as one of the critical operations among all. The last-mile delivery in the e-commerce industry is facing high costs due to a going economic crisis which led to fuel and other operating cost increments. To overcome this situation, the e-commerce industry needs to optimise vehicle delivery routing based on time windows to minimize the overall cost. Despite numerous studies on last-mile delivery, there is a paucity of studies on last-mile delivery optimization considering the customer's anticipated time windows. Therefore, this study has been conducted with the objective of optimizing and minimizing transportation costs and vehicle usage in last-mile delivery operations while meeting some practical requirements such as a variety of package types, package compatibility on different types of vehicles, customer expected delivery time windows, and a heterogeneous fleet of vehicles. After a careful literature review, this paper introduces a mathematical model to optimize last-mile delivery. The proposed mathematical model was simulated in SupplyChainGuru® modelling and simulation software. The study concluded that the overall last- mile delivery cost is minimized by about 22% while reducing the number of vehicles on the route, failed delivery package count and utilising the maximum possible capacity of vehicles while also increasing customer satisfaction by giving consumers a chance to select customer preferred time windows for package delivery. This cluster-based delivery will improve the routing of the e-commerce logistic supply chain and will serve as a platform for extending the cluster-based delivery process to other industries as well.
The Most Critical Success Factors in Software Projects
(University of Kelaniya, 2014) Jahubar, A.; Wijayanayake, A.N.
Project performance measures are undertaken in an organization to provide information to managers in order to exert control over the project. Those measures must be appropriate to the organizational level that can immediately effect change based on information it learns in order to control the performance of the project at hand. Decisions are an everyday occurrence in projects; driving the processes to make good decisions falls largely on project management. However, different types of projects have different levels throughout out its life time. Furthermore, in some cases controlling the project through the traditional iron triangle components (cost / budget, time and quality) also seems inefficient. So this research is focused on developing a project performance evaluation framework for software industry in Sri- Lanka in order to support the managers to monitor the project, classify the project success factors and identify the areas where improvements can be made. And also this model will help to study about the cross project learning. An approach based on factor component Analysis (DEA) is used to develop the project performance evaluation system which allows managers to explicitly consider differences in input variables across projects when evaluating the project output.
TQM Practices on Supply Chain Performance of Third- Party Logistics Services in Sri Lanka: The Moderating Role of Green Supply Chain Practices
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023) Nawurunnage, K.; Prasadika, A.P.K.J.; Wijayanayake, A.N.
The growing need to address the threat of global warming and greenhouse gas emissions has placed immense pressure on logistics companies to adopt sustainable practices. With logistics operations being a significant source of greenhouse gas emissions, incorporating green supply chain management practices (GSCM) has become crucial to achieving environmental sustainability within the third-party logistics (3PL) industry. Exploring the existing literature under the concepts of Total Quality Management and Green Supply Chain Management reveals the need for future investigations into how those practices might potentially improve the logistics firm’s performance to achieve sustainability. Therefore, the main objective of this study is to identify the interrelationships of TQM practices and supply chain performance third- party logistics industry in terms of overall performance and identify the suitable TQM practices that can be applied to enhance the overall performance of Sri Lankan 3PLs and assess moderating effect of GSCM practices on that TQM- performance relationships. An online survey instrument was used to collect the data from executives, senior executives, and managers of 3PL firms in Sri Lanka. The statistical data analysis was done using PLS-SEM. The results found that top management support, customer focus, statistical process control, and continuous improvements are the significant total quality management practice for overall performance in the Sri Lankan 3PL industry. The study's findings are useful for the top management of 3PLs, policymakers, and academia to identify the level of GSCM implementation within the industry, and results provide insights into further considerations regarding the implementation of GSCM practices and TQM practices to achieve the supply chain performance of the 3PLs while achieving sustainability.