Hui-Ming Wee

Management Information Systems · 2000–2020

A researcher in the Science corpus: 12 papers; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Management Information Systems — 46 citations into it; #640 of 3,376 by trust here, #363 by citations
• Strategy and Management — 33 citations into it; #2,885 of 10,874 by trust here, #2,547 by citations
• Management Science and Operations Research — 9 citations into it
• Information Systems — 8 citations into it
• Computer Networks and Communications — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Hui-Ming Wee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Suresh Kumar Goyal
2. Ray Y. Zhong
3. Prakash L. Abad
4. Sotirios Papachristos
5. Jianqing Fan
6. Hsinchun Chen
7. A. A. Taleeizadeh
8. Gang Wang
9. Angappa Gunasekaran

Who trusts Hui-Ming Wee overall

1. Ata Allah Taleizadeh
2. Biswajit Sarkar
3. Shilpi Pal
4. Yousef Ghiami
5. Sumon Sarkar
6. Chao-Kuei Huang
7. Chung-Yuan Dye
8. Ghanshaym Singha Mahapatra
9. Hui-Ling Yang
10. Mohamad Y. Jaber

Papers from Hui-Ming Wee's perspective

Ordered by how strongly the researchers Hui-Ming Wee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Business Intelligence and Analytics: From Big Data to Big Impact (MIS Q.)
2. Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph
3. Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management
4. Big Data Analytics (Lecture Notes in Computer Science)
5. Production lot sizing with the reworking of imperfect quality items produced
6. Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors (International Journal of Production Research)
7. Big Data: Issues and Challenges Moving Forward (Hawaii International Conference on System Sciences)
8. Optimal stopping and restarting production times for an EOQ model with deteriorating items and time-dependent partial backlogging
9. The impact of business analytics on supply chain performance (Decision Support Systems)
10. Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Their papers

• Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2018) — 508 citations
• Integrated inventory model for deteriorating items under a multi-echelon supply chain environment (2003) — 180 citations
• Optimizing inventory level and technology investment under a carbon tax, cap-and-trade and strict carbon limit regulations (2020) — 147 citations
• Economic production quantity model with repair failure and limited capacity (2013) — 82 citations
• Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time (2011) — 73 citations
• Preservation technology investment for deteriorating inventory (2010) — 311 citations
• An integrated production-inventory model with imperfect production processes and Weibull distribution deterioration under inflation (2007) — 220 citations
• Optimal inventory model for items with imperfect quality and shortage backordering (2007) — 383 citations
• TWO-WAREHOUSE INVENTORY MODEL WITH PARTIAL BACKORDERING AND WEIBULL DISTRIBUTION DETERIORATION UNDER INFLATION (2005) — 57 citations
• Effects of random defective rate and imperfect rework process on economic production quantity model (2004) — 79 citations
• Replenishment and pricing policy for deteriorating items taking into account the time-value of money (2001) — 184 citations
• Economic ordering policy of deteriorated item for vendor and buyer: An integrated approach (2000) — 165 citations