D
Dilupa Nakandala
Researcher at University of Sydney
Publications - 52
Citations - 614
Dilupa Nakandala is an academic researcher from University of Sydney. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 12, co-authored 46 publications receiving 393 citations. Previous affiliations of Dilupa Nakandala include University of Western Sydney.
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Development of a hybrid fresh food supply chain risk assessment model
TL;DR: A hybrid model comprising both fuzzy logic (FL) and hierarchical holographic modelling (HHM) techniques is proposed where risk is first identified by the HHM method and then assessed using both qualitative risk assessment model and fuzzy-based risk assessment method.
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Cost-optimization modelling for fresh food quality and transportation
TL;DR: The purpose of this paper is to develop a method to assist logistics managers upstream in the fresh food supply chain in making cost optimized decisions regarding transportation, with the objective of minimizing the total cost while maintaining the quality of food products above acceptable levels.
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Innovative adoption of hybrid supply chain strategies in urban local fresh food supply chain
Dilupa Nakandala,Henry C. W. Lau +1 more
TL;DR: In this article, the characteristics of demand and supply in relation to the real-world supply chain strategies of local urban fresh food supply chains (FFSCs) were investigated, and insights into how a range of strategies is adopted by urban retailer businesses in attempting to cater for the particular requirements of food literate urban consumers and small-scale local growers.
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Adoption of green supply chain management practices through collaboration approach in developing countries – From literature review to conceptual framework
TL;DR: In this paper, a conceptual model for the adoption of green supply chain management (GSCM) practices for industrial zones in developing countries is presented, which coincides with the systems, institutional and diffusion of innovation theories and purposes high degree of collaborations among foreign and domestic firms, governments, customers and suppliers.
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A fuzzy-based decision support model for monitoring on-time delivery performance: A textile industry case study
TL;DR: The proposed pragmatic model deals with the fuzziness of the key inputs including, variations in demand forecasting, materials shortages and distribution lead time, and combines a fuzzy reasoning approach for monitoring on-time delivery of finished products.