William Ho

William Ho

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William Ho

The University of Melbourne

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2010 in European Journal of Operational Research
Verified
Journal Article
Closed access
WHWilliam Ho
William Ho
XXXiaowei Xu
Xiaowei Xu
PDPrasanta K. Dey
Prasanta K. Dey

5 February 2015 in International Journal of Production Research
Verified
Journal Article
Closed access
WHWilliam Ho
William Ho
TZTian Zheng
Tian Zheng
HYHakan Yildiz
Hakan Yildiz
STSrinivas Talluri
Srinivas Talluri
Risk management plays a vital role in effectively operating supply chains in the presence of a variety of uncertainties. Over the years, many researchers have focused on supply chain risk management (SCRM) by contributing in the areas of defining, operationalising and mitigating risks. In this paper, we review and synthesise the extant literature in SCRM in the past decade in a comprehensive manner. The purpose of this paper is threefold. First, we present and categorise SCRM research appearing between 2003 and 2013. Second, we undertake a detailed review associated with research developments in supply chain risk definitions, risk types, risk factors and risk management/mitigation strategies. Third, we analyse the SCRM literature in exploring potential gaps.

1 April 2008 in European Journal of Operational Research
Verified
Journal Article
Closed access
WHWilliam Ho
William Ho

1 June 2008 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Closed access
WHWilliam Ho
William Ho
George T. S. HOGeorge T. S. HO
George T. S. HO
PJPing Ji
Ping Ji
HLHenry C.W. Lau
Henry C.W. Lau

1 June 2012 in Energy
Verified
Journal Article
Closed access
JSJames A. Scott
James A. Scott
WHWilliam Ho
William Ho
PDPrasanta K. Dey
Prasanta K. Dey

1 August 2015 in International Journal of Production Economics
Verified
Journal Article
Open access
JSJames Scott
James Scott
WHWilliam Ho
William Ho
PDPrasanta K. Dey
Prasanta K. Dey
STSrinivas Talluri
Srinivas Talluri
Integrated supplier selection and order allocation is an important decision for both designing and operating supply chains. This decision is often influenced by the concerned stakeholders, suppliers, plant operators and customers in different tiers. As firms continue to seek competitive advantage through supply chain design and operations they aim to create optimized supply chains. This calls for on one hand consideration of multiple conflicting criteria and on the other hand consideration of uncertainties of demand and supply. Although there are studies on supplier selection using advanced mathematical models to cover a stochastic approach, multiple criteria decision making techniques and multiple stakeholder requirements separately, according to authors׳ knowledge there is no work that integrates these three aspects in a common framework. This paper proposes an integrated method for dealing with such problems using a combined Analytic Hierarchy Process–Quality Function Deployment (AHP–QFD) and chance constrained optimization algorithm approach that selects appropriate suppliers and allocates orders optimally between them. The effectiveness of the proposed decision support system has been demonstrated through application and validation in the bioenergy industry