PurposePurpose of study: Indian fibre cement industry is at crossroads on account of the dropping margins attributed to the dynamic internal and external challenges faced by it. The ever-changing technology, the increasing availability of substitutes and changing demographic consumption profiles have questioned the survival of this industry. Internal and external factors affecting an organization provide inputs to the strategic decision-making. Diversity of factors and prioritization is a major challenge encountered for developing a strategy for the organization.Design/methodology/approachStrategic analysis in the paper proposes to rank important key variables through SWOT-AHP methodology affecting a fibre cement company. Computed priorities of SWOT factor could help in formation of management approach to key decisions facing the firm. It is a descriptive research design. The problem itself has multiple SWOT criteria that have been evaluated in three phases with the help of industry experts and AHP criteria.FindingsSWOT-AHP analysis has been a strategic fit for qualitative analysis of factors. The important ranked factors affecting the organization have been found to be brand name, capability of both the management and technical, quality of the product, and the efficient customer service and marketing reach/distribution.Research limitations/implicationsRanking of key SWOT factors found through AHP methodology will help the firm under study to develop and plan strategic alternatives to counter all challenges faced by them.Practical implicationsThe management of the firm under study shall be benefited in fine-tuning the overall strategy of the organization.Originality/valueThis paper proposes a hybrid SWOT-AHP strategic analysis first time in this sector. The affecting factors have been quantified and ranked to identify priority factors for the firm to focus.

Slowdown in the network performance can cause serious concern to network analysts, leading to loss in resources. Such cases are not easy to deal with, due to the lack of time and resources available. Lack of awareness about appropriate tools which detect the attacks or not knowing exactly why a loss in network performance is occurring are some other factors. Connectivity loss or shutting down of terminals within the network for unknown reasons are among the other problems. Mostly, the cause of these problems cannot be detected accurately and is concluded due to poor network architecture, such as inefficiently configured broadcast storms, spanningtree, usage of unsuitable routing protocols within the network domain, redundant links etc. However, sometimes the cause could be due to attacks by unknown third parties that try to put the web server out-of-service through means of a DoS (Denial of Service) attack, sending traffic with a poisoned ARP in an attempt to discover hosts to infect, or by simply infecting ports with malware to form part of an alien network or botnet. In all these cases, knowing the source of the attack is the first step towards taking appropriate action and achieving correct protection. That is when packet sniffers can be extremely useful to detect, analyze and map traffic. Such packet sniffers identify threats to the network and limit their harmful consequences.

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Ethyl butylidene‐bis‐3‐phthalimidoacetoacetate (II) was prepared by condensation of ethyl‐3‐phthalimido‐acetoacetate and n‐butyraldehyde in the presence of piperidine in benzene. Compound II was hydrolysed by hydrochloric acid followed by cyclization with potassium thiocyanate to yield bis(2‐mercaptoimidazole)‐4,4‐butylidene (IV).

Some of the flexible models are available in the statistics literature are exponential and power distribution. They are very helpful in the modeling for situations when the shape and distribution of interested variables are positively skewed. We are presenting the calibration based estimates of domain total for exponential and the power model under such prevailing circumstances. Two different situations are considered:(i) domain total of the auxiliary variable is known and (ii) domain total of the auxiliary variable is unknown. To overcome the difficulties, to get calibration weights under second situation, two phase sampling technique is utilized. The Newton-Raphson method of approximation is used to estimate the Lagrange's multiplier. In addition, the efficiency of the proposed estimator has been given with support of the proposed weights under shortest Chi-square distance function. A numerical value based on the simulation study in terms of absolute relative bias and simulated relative standard error have been given using a real data of the Sweden municipality 1984 for comparison of the estimators. Finding shows that the proposed power function based calibration estimator is more efficient than the existing calibration based estimators of the domain total in both the situations.