Browsing by Author "Cheng, Chun Hung"
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Item Open Access An Analysis of Factors affecting Cross Docking Operations(Council of Supply Chain Management Professionals (CSCMP), 2010) Balakrishnan, Jaydeep; Yang, Kum Khiong; Cheng, Chun HungUsing a simulation model of a cross dock, we examine the impacts of various options on moving freight between inbound and outbound trailers. The decisions examined include direct versus indirect handling of pallets, number of open receiving doors, door layout, number of forklifts, size of cross dock and freight mix. This study provides useful insights into handling freight in a cross dock.Item Open Access Dynamic cellular manufacturing under multi period planning horizons(Emerald, 2005) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access Dynamic Layout Algorithms : A State-of-the-art Survey(Elsevier, 1998) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access The Dynamic Plant Layout Problem: Incorporating Rolling Horizons and Forecast Uncertainty(Elsevier, 2009) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access FACOPT: A User Friendly FACility Layout OPTimization System(Elsevier, 2003) Balakrishnan, Jaydeep; Cheng, Chun Hung; Wong, Kam-FaiItem Open Access Genetic search and the dynamic layout problem(Elsevier, 2000) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access A hybrid genetic algorithm for dynamic layout(Elsevier, 2003) Balakrishnan, Jaydeep; Cheng, Chun Hung; Conway, Daniel G.; Lau, Chun MingItem Open Access An Improved Pair-wise Exchange Heuristic for the Dynamic Plant Layout Problem(Taylor & Francis, 2000) Balakrishnan, Jaydeep; Cheng, Chun Hung; Conway, Daniel G.Item Open Access Modelling Rearrangement Constraints in Dynamic Layout(InderScience Publishers, 2013) Balakrishnan, Jaydeep; Cheng, Chun Hung; Lau, Chun MingThe dynamic plant layout problem (DPLP) deals with multi-period layout plans. Genetic algorithms have proved to be effective in solving DPLPs. In this research we consider a constraint on rearrangement. Such constraints may have to be considered not only in multi-period plant layout, but also in multi-period plant location and multi-period cellular manufacturing. We suggest proactive and reactive heuristic methods that can be used to modify existing genetic algorithms for the constrained situation. An extensive computational study is carried out to compare the proposed heuristics.Item Open Access Multiperiod planning and uncertainty issues in cellular manufacturing: a review and future directions(Elsevier, 2007) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access A note on a hybrid genetic algorithm for the dynamic plant layout problem(Elsevier, 2006) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access A quantitative model for analyzing IS outsourcing decisions(Inderscience, 2006) Cheng, Chun Hung; Balakrishnan, Jaydeep; Wong, Wai-ChiItem Open Access Theory of constraints and linear programming: a reexamination(Taylor & Francis, 2000) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access The Theory of Constraints and the Make-or-Buy Decision: An Update and Review(Wiley Blackwell Publishing Inc., 2005) Balakrishnan, Jaydeep; Cheng, Chun HungItem Open Access The Theory of Constraints in Academia: It's Evolution, Influence, Controversies, and Lessons(Neilson Journals Publishing, 2008) Balakrishnan, Jaydeep; Cheng, Chun Hung; Trietsch, DanThe ‗Theory of Constraints‘ (TOC)—more appropriately described as Management by Constraints (MBC)—is a case of a development that has raised an interesting debate in the field of Operations Management. Points of debate include how much of TOC is a ‗refocus‘, how effective it has been, and how it relates and compares to other developments in Operations Management. In this paper, we focus on what lessons academics may learn about disseminating controversial developments from the debate that has accompanied TOC. With the tremendous information explosion, we may see more such controversial developments. Therefore examining the case of TOC may help academics, the people who are expected to play an important role in dissemination, to deal with similar developments in the future, in a balanced and critical manner.