Browsing by Author "Rupasinghe, TD"

Now showing 1 - 3 of 3

item: Conference-Extended-Abstract
An analysis of methodologies for solving green vehicle routing problem: a systematic review of literature
(Sri Lanka Society for Transport and Logistics, 2016-06) Cooray, PLNU; Rupasinghe, TD; Gunaruwan, TL
item: Article-Full-text
A collaborative apparel new product development process model using virtual reality and augmented reality technologies as enablers
(Taylor & Francis, 2019) De Silva, RKJ; Rupasinghe, TD; Apeagyei, P
This study presents a collaborative new product development (NPD) process model that accommodates different perspectives of stakeholders in an apparel value chain and expedites robust new product outcomes. Advanced technologies are demanded to establish such collaborative NPD process models. Virtual reality (VR) and augmented reality (AR) technologies have become prominent in product realisation during this process, to evaluate multiple alternatives. The study proposes a twofold approach where, in the first phase, a qualitative study was carried out to evaluate the viewpoint of value stream collaborators to study the potential opportunities and limitations of applying VR and AR in NPD process. In the second phase, a quantitative study was carried out to assess the apparel consumers’ awareness on VR or AR applications, perceptions on such technologies, and intention to use such technologies in the context of apparel business. Data collection consisted of 10 in-depth interviews with experts in the industry and 94 survey responses from apparel consumers in the United Kingdom. It is concluded that VR and AR technologies will be enablers for NPD’s success in the apparel industry in providing quick responses to consumers to enhance the performance of the new products.
item: Conference-Abstract
A Decision support system for demand planning : a case study from manufacturing industry
(2017) Silva, DA; Rupasinghe, TD
Demand planning is responsible for estimating the demand for products, raw materials, production capacities, and distribution related capacities in a manufacturing organization. The modern supply chains are faced with severe competition and uncertainty. The benefits of having an accurate forecast have never been so important. Many studies have looked at this growing need from practical standpoint. This study envisions to embed the theoretical aspects and the practitioners’ views into one solution using R open source technologies to design and develop a Decision Support System for demand planning. The proposed system utilizes open source development tools such as R for analytics and Java environment and it gives an edge over the existing proprietary software solutions for the forecasting and demand planning. The accuracy and the validity are attained by the advanced mathematical modules in R environment for forecasting to offer advanced analytical software at an affordable cost for small or medium ranged enterprises. Furthermore, demand planning plays a strategic role as the planning of wide variety of other activities depends on the accuracy and the validity of this prime activity. Therefore, the techniques used in this study can be extended to other organizations as a generalized approach and to estimate demand forecast within a reasonable for forecast accuracy.