Denise Ann Brady, Patricia Tzortzopoulos, John Rooke, Carlos Torres Formoso and Algan Tezel
The purpose of this paper is to discuss a production planning and control model known as the Lean construction management (LCM) model, which applies a number of visual tools in a…
Abstract
Purpose
The purpose of this paper is to discuss a production planning and control model known as the Lean construction management (LCM) model, which applies a number of visual tools in a systematic way to the planning and control process. The application of the visual tools in this way facilitates the flow of information, thus improving transparency between the interfaces of planning, execution and control.
Design/methodology/approach
Design Science research is adopted for this investigation, which analyses the original development of the model and reports on its testing and refinement over different types of projects. The research is divided into three parts, each part focussing on a different stage of development and construction project type.
Findings
The main findings are related to the benefits of visual management in the construction planning and control process, such as maintaining consistency between different planning levels, so that feasible execution plans are created; control becomes more focussed on prevention rather than correction, and creates opportunities for collaborative problem solving. Moreover, the physical display of the visual tools in a discrete planning area on-site encourages a regular exchange between participants on actual work progress as it unfolds, leading to more timely reaction to the problems at hand.
Originality/value
The problem of a lack of transparency in construction planning and control leads to communication issues on-site, poor process orientation and high levels of waste. LCM improves process transparency by making information related to system-wide processes more readily available to project participants. This enables them to foresee problems in a timely manner and to take necessary measures to resolve them or to adapt the process to current circumstances. The LCM model proposes a new way of applying visual tools and controls systematically to improve transparency in construction planning and control.
Details
Keywords
Abstract
Details
Keywords
Denise M Necoechea and H.Lee Swanson
There has been much discussion in the literature in recent years on the problems involved in the identification of children with reading disabilities. One of the most influential…
Abstract
There has been much discussion in the literature in recent years on the problems involved in the identification of children with reading disabilities. One of the most influential sources of knowledge in the field of learning disabilities is the National Institute of Child Health and Human Development (NICHD). This agency has typically been a major funding source for methodologically rigorous reading intervention research. Further, such research has contributed significantly to the validity of identifying children suspected of learning disabilities as “treatment resistors” (e.g. Vellutino et al., 1996). Yet, the NICHD has recently been the focus of some controversy. The purpose of this chapter was to synthesize NICHD funded research conducted over the past 10 years via a meta-analysis to determine what can be generalized from this body of research that can be applied to the identification of students with learning disabilities in reading. The results of the synthesis were that a prototypical intervention study has a mean effect size (ES) of 0.67 (SD=0.42), indicating that most interventions designed to increase reading skills were effective. The overall ES ranged, however, from 0.19 to 1.76, and therefore some criterion could be established for identifying treatment resistors. Performance below an overall ES of 0.25 was suggested as one of several criteria for identifying children with potential reading disabilities. However, this suggestion must be put in the context of intervention outcomes. The synthesis indicated that: (a) performance was more pronounced on skill or process measures (e.g. ES varies from 0.45 to 1.28 on measures of segmentation and pseudoword reading) than on measures of actual reading (ES varies from 0.17 to 0.60 on real word and comprehension measures); (b) the magnitude of effect sizes were more related to instructional activity (e.g. explicit instruction/practice) than to the content of instruction (e.g. type of phonics instruction); and (c) the bulk of intervention studies focused on a narrow range of reading behaviors (i.e. phonological awareness). Implications related to identification and sound teaching practice versus content training of reading instruction (e.g. phonological skills, comprehension skills) are discussed.