Search results

This study investigates the level of variance in the real time demand for bagged cement, induced in response to the climatic sequence of the humid tropics, to support best practice calls for a weather-responsive supply chain strategy.

Data on the consumption of cement and site works for 100 ongoing building construction sites were gathered for a period of 12 months. The variance partitioning capabilities of the Ordinary Least Squares and Hierarchical Linear Modelling forms of regression analysis are comparatively used to evaluate the sensitivity of cement demand to the meteorological profile of wet-humid climate

The study outcome provides statistical evidence demonstrating that the meteorological profile of wet-humid climate induces a significantly high percentage of the variance in the real-time demand for bagged cement on construction sites. However, nested within this variance, are the fixed effects of the cement footprint of the building architecture inherent in the locality. Particularly, positive changes to reduce the wet trade composition of buildings or compensating changes in technological bias, are necessary to combat weather interference in the humid tropics.

The findings are exploratory, and not for the purposes of holistically forecasting cement demand, and can therefore only form part of a more comprehensive decision support system, bespoke to the study area.

The study outcome provides a back-end view to climatic adaptation in wet humid settings, making a compelling case for localized climate-risk adaptive supply chain strategies and policies geared towards sustainability in cement usage.

The study delineates the confounding impact of weather, distinct from local building architecture and technological bias, thus creating a methodological platform for replication and comparative productivity studies in diverse geographical areas.

To develop just‐in‐time (JIT) purchasing threshold value (JPTV) models for ready mixed concrete (RMC) suppliers to decide whether or not to switch from an economic order quantity (EOQ) approach to a JIT purchasing approach for the purchase of their raw materials, when a price discount is offered.

The existing economic order quantity (EOQ) with a price discount versus the JIT purchasing cost comparative models neglect some important cost components under the inventory management systems, for example, the out‐of‐stock costs and the impact of inventory policy on product quality and production flexibility. In addition, these models do not empirically study the capability of an inventory facility to hold the EOQ‐JIT cost indifference point's amount of inventory. These models suggest that the JIT purchasing approach is always preferred to the EOQ approach when the JIT purchasing approach can capitalize on physical plant space reduction. The JPTV models developed in this study overcome the two limitations of the existing EOQ and JIT purchasing cost comparative models.

By developing the JPTV models, this study suggests that the theoretical advantages of JIT purchasing may have been overstated.

The field studies conducted in the RMC industries in Chongqing, China and Singapore supported the propositions in this study. The JPTV models, if adopted, would help to enhance performance in the RMC industries in other cities as well.

The purpose of this paper is to evaluate the Saudi cement companies’ market share.

The data collected from the annual reports and financial statements of 12 companies.

The analysis of the production indicators showed that seven Saudi companies had a steady state of production capacity, while the other five companies had an increase in their production capacity.

The research is limited to the Saudi cement companies.

The Saudi cement companies add expenditures annually to update their managerial technologies, production equipment and machinery in plants and processes.

The Saudi cement companies must be creating more competition between the cement companies through the opportunity of developing or acquiring new technologies.

The demand of cement in India is expected to increase rapidly as the government has been giving immense boost to various housing facilities, infrastructure projects, road networks and railway corridors. One of the ways to meet this rise in the demand of cement is to increase the capacity utilization of the existing cement plants by improving their availability. The availability of a cement plant can be improved by avoiding failures and reducing maintenance time through reliability, availability and maintainability (RAM) analysis of its subsystems. The paper aims to discuss this issue.

The data related to time between failure (TBF) and time to repair (TTR) of all the critical subsystems of a cement plant were collected over a period of two years for carrying out RAM analysis. Trend test and serial correlation test were performed on TBF and TTR data to verify whether these data are independent and identically distributed or not. Afterwards, the authors use EasyFit 5.6 professional software to find best-fit distribution of TBF and TTR data and their parameters. The effectiveness of a preventive maintenance policy was evaluated by simulating the real and proposed systems.

The results of the analysis show that the raw mill and the coal mill are critical subsystems of a cement plant from a reliability point of view, whereas the kiln is a critical subsystem from an availability point of view. The analysis shows that the repair time of the cement mill should be reduced for improving the availability of the cement plant. The RAM analysis showed that the capacity of the case study company is 17 percent underutilized due to maintenance-related problems and 15 percent underutilized because of management-related problems.

The study exhibits the usage of RAM analysis in deciding preventive maintenance programs of several cement plant subsystems. Thus, it would serve as a reference for reliability and maintenance managers in deciding maintenance strategies of cement plants as well as in improving their capacity utilization.

The study exhibits the usage of RAM analysis in deciding preventive maintenance programs of several cement plant subsystems. Even more, using a simulation study, the authors show that preventive maintenance of the cement plant beyond a certain level can be disadvantageous as it leads to an increase in downtime and decrease in availability.

“Suitable for MBA, Executive MBA, GEMBA, and executive education programs, this case uses CEMEX, a global cement producer based in Mexico, to set the stage for unfolding an analysis of a growth through acquisition strategy. It offers a discussion about the firm's overall strategy to acquire on a global scale instead of growing organically and provides an opportunity to introduce basic financial, marketing, and operational terms that can be explored in subsequent classes. The material includes a PMI process that further allows discussion on that technique.

The case opens with a conference call and another barrage of questions for CEO Lorenzo Zambrano about his bid to buy the Australia-based Rinker Group in October 2006. Until this point, CEMEX has had a long-standing habit of buying businesses in emerging markets; this acquisition would be a departure from that strategy. If the deal goes through, it would be the single largest acquisition in CEMEX's history, and it would be among its few forays into a developed market other than the neighboring United States. The company has grown exponentially and successfully. Why would this effort be any different? Was the acquisition a good idea or not? And if it was, how would Zambrano and his leadership team convince Wall Street and others of that?”

This study aims to understand the domino effect on housing and construction sector along the economic dimensions in light of COVID-19 pandemic.

The view point in this paper is written based on the domino effect of various sectors in India. Starting from the macro-economic events through to the micro-economic events, the changes are discussed along the platform of COVID-19. Early literature to support the discussions and a wide range of periodicals to observe the current events are used in arriving at a hypothesis.

The impact in any sector does not happen because of a sole event rather it is consequence of changes and trends that took place in multiple sectors. This paper identifies such changes in the sectors of oil industry, cement manufacturing, housing and construction sector during COVID-19. The paper concludes on confirming the hypothesis with two opinions. One by accepting the principle of domino effect that construction domain had various impacts by other sectors at different levels during pandemic. Another on considering the level of impact, the sector has withstood the impacts in various manners and is growing in extensive directions proving the sector to be resilient.

The paper showcases the impacts of various sectors on construction domain with an insight of most recent trends supported by early literature. The linking of elements is the significance of the paper.

This paper aims to examine the moderating role of organizational learning culture (OLC) on the relationship between human resource development (HRD) practices and employee competencies (EC) in enhancing organizational effectiveness (OE).

An integrated research model of HRD practices, EC, OE and OLC was developed. The validity of the model is tested by applying structural equation modelling (SEM) approach to data collected from 506 employees working in 4 medium-size cement manufacturing companies.

The results confirmed that training and career development had a significant impact on EC, the moderating effect of OLC on the relationship between HRD practices and EC was found significant and there is a significant and positive relationship between EC and employee perceived OE.

This paper contributes to the HRD literature, integrating HRD practices, OLC and EC. The research is unique as it has applied moderated SEM to test hypotheses of the study.

This study aims at designing consistent and durable concrete by making use of waste materials. An investigation has been carried out to evaluate the performance of conventional and optimal concrete (including 5% GP) at high temperatures for different exposure times.

An experimental work is carried out to compare the conventional and optimal concrete with respect to weight loss, mechanical strength characteristics (compressive, tensile and flexural) after exposed to 100, 200 and 300 °C with 1, 2 and 3 h duration of exposure followed by cooling in furnace for 24 h and then air cooling.

The workability of granite powder modified concrete decreases as percentage of replacement increases. Compressive, tensile and flexural strengths all increased at 100 °C when compared to strength characteristics at normal temperature, regardless of the exposure conditions, and there was no weight loss noticed. For 200 and 300 °C, the strengths were decreased compared to normal temperature and an elevated temperature of 100 °C, as weight loss of concrete specimens are observed to be decreased at these temperatures. So, the optimum elevated temperature can be concluded as 100 °C.

Incorporating pozzolanic binder (granite powder) as cement replacement subjecting to elevated temperatures in an electric furnace is the research gap in this area. Many of the works were carried out replacing GP for fine aggregate at normal temperatures and not at elevated temperatures.

The main aim of this study is to explore the relationship between information system flexibility and dynamic capabilities to build sustainable and net zero supply chains under the influence of environmental dynamism.

We have formulated a self-administered survey, with 359 participants contributing responses. Prior to delving into foundational assumptions, such as homoscedasticity and normality, a nonresponse bias analysis was executed. The integrity of the data, in terms of reliability and construct validity, was gauged using confirmatory factor analysis. Subsequent regression outputs corroborated all the proposed assumptions, fortifying the extant scholarly literature.

The empirical findings of this research underscore a positive correlation between Information system flexibility, dynamic capabilities and a net zero supply chain, especially in the context of environmental dynamism. Data sourced from the cement manufacturing sector support these observations. We also found that environmental dynamism moderates the relationship between data analytics capability and sustainable supply chain flexibility but does not moderate the relationship between Resource flexibility and sustainable supply chain flexibility. Additionally, this research strengthens the foundational principles of the dynamic capability theory.

The conceptual framework elucidates the interplay between information system flexibility, dynamic capabilities, and sustainable supply chain flexibility, emphasizing their collective contribution towards achieving sustainable chain net zero, introducing environmental dynamics as a moderating variable that augments the scholarly discourse with a nuanced layer of analytical depth.