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King Lun Tommy Choy

Researcher at Hong Kong Polytechnic University

Publications -  202
Citations -  8202

King Lun Tommy Choy is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Supply chain & Decision support system. The author has an hindex of 43, co-authored 202 publications receiving 6968 citations.

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Using radio frequency identification technology in distribution management: A case study on third-party logistics

TL;DR: In this study, a logistics information system called Integrated Logistics Information Management System (ILIMS) is proposed to simplify the distribution process with the help of Radio Frequency Identification (RFID) technology.
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Customer relationship mining system for effective strategies formulation

TL;DR: A customer relationship mining system to analyze the data collected from franchisees and formulates a marketing strategy based on customer demand and behavior and an integrated approach of association rule mining and the neural network technique is adopted to investigate customer behavioral patterns and to forecast sales demand.
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A hybrid case-GA-based decision support model for warehouse operation in fulfilling cross-border orders

TL;DR: A hybrid approach called the case-genetic algorithm-based decision support model (C-GADS), is proposed in classifying new customer orders into case groups with the highest similarity value, allowing for effectively selecting the most similar cases among the group.
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Fast-track ventilation strategy to cater for pandemic patient isolation surges.

TL;DR: The effectiveness of a fast-track, makeshift isolation approach employed during the SARS outbreak which involved installing simple window-mounted exhaust fans to create negative-pressure airflow in hospital general wards was certainly effective and no secondary infections were reported in hospitals that used it.
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Design of an intelligent supplier knowledge management system - : an integrative approach

TL;DR: In this article, a supplier knowledge management system (SKMS) is introduced for such a purpose by using its hybrid on-line analytical processing (OLAP)/artificial neural networks (ANNs)/case-based reasoning (CBR) approach in predicting future customer demands and allocating suitable suppliers during the order fulfilment process.