Understanding the planner’s role in lookahead construction planning

Capacity planning is instrumental in production planning as the variability witnessed in construction projects complicates the planner’s role in achieving a balance between weekly task load and available resources. The purpose of this article is to assess the effects of capacity planning on a project’s time and cost performance and to inform planners on the pitfalls of uninformed capacity planning. A simulation model is developed to test several project scenarios against different capacity planning methods. Cost, time and planning quality measures are developed to track project’s performance throughout the construction period. Results show that the planner’s choice of capacity planning method and the type of project both affect a project’s cost and duration. Interestingly, informed planners who are aware of a project’s characteristics are able to achieve the best balance between weekly load and capacity. They are able to reduce incurred costs wasted on idle resources without significantly affecting the construction period.     

The Sidewalk as a Contested Space: Women’s Negotiation of Socio-Spatial Processes of Exclusion in Public Urban Space in Saudi Arabia; The Case of Al Tahlia Street

Riyadh is one of the most gender-segregated cities in the world. However, as gender segregation is less enforced on sidewalks, it provides an optimal case study for a space where women and men may be co-present. Thus, this paper aims to increase the understanding of the relationship between sociocultural norms and spatial programming regarding spatio-temporal inclusion or exclusion in public urban spaces. The results show that women’s use and access to sidewalks are influenced by gender norms, religious values, gendered regulations, and generic spatial programming. For instance, regulations limit the use of outdoor seating to men only, thus sidewalks adjacent to, e.g., cafes function as mono-gender spaces dominated by men. However, young women negotiate spatially bounded gender norms through their presence, behaviour, and dress. Although sidewalks are conceived as men’s space, women account for nearly half of the users, but their use often goes unnoticed as women self-regulate their spatio-temporal and visible presence. The study presents six types of women’s spatio-temporal behaviours with varying degrees of visible and invisible users. Ultimately, this paper argues that planning for inclusive sidewalks cannot be addressed solely through the ‘universal’ characterization of space; it should also be supplemented by context-specific knowledge regarding the socio-spatial needs.     

Designing the Entrepreneurial University: The Interpretation of a Global Idea

Becoming an entrepreneurial university has been identified as the solution to the problems facing contemporary higher education systems. The idea of becoming an entrepreneurial university can be seen as the result of a more globalised higher education sector where the domestic and institution-specific characteristics of universities are downplayed in favour of a more uniform idea of what a university should do and how it should be organized. This article contributes to this scholarly discussion by analysing how efforts to transform universities into “more complete organisations” are understood and interpreted in terms of organisational structures.     

Arcs in $$\mathbb Z^2_{2p}$$

An arc in \(\mathbb Z^2_n\) is defined to be a set of points no three of which are collinear. We describe some properties of arcs and determine the maximum size of arcs for some small n.     

The value of board monitoring in promoting R&D: a test of agency-theory in the US context

Prior agency-theory research has presented conflicting findings regarding the importance of board monitoring in motivating R&D. We reinvestigate this literature by examining the value monitoring exerts in abating both the agency costs of underinvestment and overinvestment in R&D. We argue that monitoring that relies on board independence has both benefits and costs associated with promoting R&D. While we assert that intense monitoring by the board heightens underinvestment in the US context, it can also provide discipline over a firms free cash flows. We test our theory using a longitudinal panel data set consisting of a cross-section of S&P 1500 US-firms between 1997 and 2007. On average our study finds inside directors increase overinvestment in R&D, but facilitate better resource allocation when a firm has rich growth opportunities. Also, while too much emphasis on outside directors heightens underinvestment in R&D, a more independent board encourages better resource allocation when firms have high free cash flows that need to be paid back to owners. Thus, our results suggest a more inclusive perspective of agency-theory can help managers make better R&D investment decisions.     

Organizational persistence in the use of war gaming and scenario planning

Even though war gaming and scenario planning are widely used in business contexts, there is little evidence that either practice is associated with superior performance. Why, then, spend the costs? In this paper we address this puzzle and suggest why the extant empirical findings have so far proven limited. We consider the development of these practices and find that they have a substantially entangled and overlapping history, particularly at the RAND Corporation in the 1950s. Despite shared historical roots, the treatment of war gaming and scenario planning in the scholarly literature branched out into different streams. This separation is unfortunate because it obscures a better understanding of the premises under which these practices are effective. We propose an analysis of the overlaps and contrasts of war gaming and scenario planning that sets out clear boundary conditions for their use and efficacy. We find that each practice is tailored to provide strategic guidance in a context where the organization is facing different forms of uncertainty. This suggests they may be effective, and thus improve organizational performance, where the relevant uncertainties are operative. Such benefits would be apparent over longer time scales, and only if the relevant boundary conditions are met. However, to the best of our knowledge, no longitudinal empirical test of either war gaming or scenario planning is available. We therefore conclude that more research is needed to ascertain the true relationship between these popular practices and their performance outcomes.     

Computing globally optimal (s,S,T) inventory policies

We consider a single-echelon inventory installation under the (s,S,T) periodic review ordering policy. Demand is stationary random and, when unsatisfied, is backordered. Under a standard cost structure, we seek to minimize total average cost in all three policy variables; namely, the reorder level s, the order-up-to level S and the review interval T. Considering time to be continuous, we first model average total cost per unit time in terms of the decision variables. We then show that the problem can be decomposed into two simpler sub-problems; namely, the determination of locally optimal solutions in s and S (for any T) and the determination of the optimal T. We establish simple bounds and properties that allow solving both these sub-problems and propose a procedure that guarantees global optimum determination in all policy variables via finite search. Computational results reveal that the usual practice of not treating the review interval as a decision variable may carry severe cost penalties. Moreover, cost differences between (s,S,T) and other standard periodic review policies, including the simple base stock policy, are rather marginal (or even zero), when all policies are globally optimized. We provide a physical interpretation of this behavior and discuss its practical implications.     

Review of the use of context in statistical image analysis

SUMMARY This paper is a review of the use of contextual information in statistical image analysis. After defining what we mean by 'context', we describe the Bayesian approach to high-level image analysis using deformable templates. We describe important aspects of work on character recognition and syntactic pattern recognition; in particular, aspects of the work which are relevant to scene understanding. We conclude with a review of some work on knowledge-based systems which use context to aid object recognition.     

Comparison of designs for the three-fold nested random model

The quality of estimation of variance components depends on the design used as well as on the unknown values of the variance components. In this article, three designs are compared, namely, the balanced, staggered, and inverted nested designs for the three-fold nested random model. The comparison is based on the so-called quantile dispersion graphs using analysis of variance (ANOVA) and maximum likelihood (ML) estimates of the variance components. It is demonstrated that the staggered nested design gives more stable estimates of the variance component for the highest nesting factor than the balanced design. The reverse, however, is true in case of lower nested factors. A comparison between ANOVA and ML estimation of the variance components is also made using each of the aforementioned designs.