Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.


Search Results

Cook, W., Li, W., Li, Z., Liang, L. and Zhu, J. (2020). "Efficiency Measurement with Products and Partially Desirably Co-Products", Journal of the Operational Research Society, 71(2), 335-345.

Open Access Download

Abstract Many operational processes that set out to create a specific set of products will often involve the creation of a set of associated co-products. The problem of interest is how to evaluate the efficiencies of a set of comparable such processes in the presence of both products and co-products. In particular, there has been an increasing interest in co-products that can be considered as playing a dual role as either outputs from or inputs to the process involved. Efficiency measurement in certain situations where both products and co-products are present can be addressed using data envelopment analysis (DEA). For example, reclaimed asphalt coming from the resurfacing of highways in various districts offers an opportunity to perform maintenance at a lower cost, when that reclaimed material serves as an input together with new or virgin materials. At the same time, there is an undesirable environmental impact when reclaimed asphalt (not reused) serves as an output. In the current paper, we develop a DEA-based methodology to evaluate the efficiency of maintenance activities in the presence of both products and co-products. The problem concerns how to examine co-products that can have positive value, up to a certain point, but beyond this point there are disposal/environmental costs that must be considered. We use our developed model to examine the efficiency of resurfacing operations in a set of 18 districts in a Canadian province.

Cook, W., Guo, C., Li, W., Li, Z., Liang, L. and Zhu, J. (2017). "Efficiency Measurement of Multistage Processes: Context Dependent Numbers of Stages", Asia Pacific Journal of Operations Research, 34(6).

View Paper

Abstract An important area of research involving the benchmarking methodology data envelopment analysis (DEA), concerns the modeling of multistage situations. In the usual multistage settings, it is generally assumed that all decision-making units (DMUs) have the same number and configuration of stages. However, in many real-world examples, this assumption does not hold. Consider, for example, a supply chain setting where for some DMUs, products are shipped directly from a supplier to a retailer (single-stage), while for other DMUs, products can be transshipped through distribution centers (two or more stages). In the current paper, we investigate an efficiency measurement situation where the DMUs exhibit a mix of single and two-stage setups. The particular case examined involves a set of high technology firms that can be thought of as falling into two groups; those firms where the output of interest is the annual revenue generated, and those that not only generate revenue, but as well invest a portion of that revenue in R&D. Firms in the first group can be viewed as being single-stage DMUs while those in the other group are of the two-stage type. The modeling complication here is that the set of DMUs do not explicitly form a homogeneous set of units. We develop a DEA-style model aimed at measuring efficiency in the presence of such nonhomogeneous two-group structures.

Cook, W., Li, W., Li, Z. and Zhu, J. (Forthcoming). "Efficiency Measurement for Hierarchical Situations", Journal of the Operational Research Society.

Open Access Download

Abstract The measurement and monitoring of the efficiency of processes in organisations has become an important undertaking in today’s competitive environment. A fundamental tool for this undertaking is data envelopment analysis (DEA). The conventional setting for DEA views the decision-making unit (DMU) (school, hospital etc.) as a black box with inputs entering and outputs leaving. The current paper looks at a problem setting somewhat related to a multistage situation but pertaining to a particular form of hierarchical structure. Specifically, we examine a set of electric power units that act as sub-units or sub-DMUs, operating under the framework of set of power plants that play the role of DMUs. We develop a DEA-like methodology that evaluates, in a two-stage manner, both the efficiencies of the sub-units and of the aggregates of those sub-units (the plants). In so doing, the approach attempts to have the projected values of plant-level inputs and outputs match up with the corresponding aggregate values of the sub-unit projections, as is the case prior to projection to the frontier. Since such projections may in fact not match up as described, we introduce a goal-DEA methodology to minimise the extent of any failure to achieve this match up.