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This study aims to develop a production-oriented approach for optimal mass-customisation of floor panel layouts in cross-laminated timber (CLT) buildings. The study enables meeting building clients’ unique floor plan requirements at an optimal cost and simultaneously enhances manufacturers’ profit by minimising material and manufacturing process waste.

The present research uses a hybrid approach consisting of field data collection, mathematical modelling, development of a Genetic Algorithm (GA) and scenario analysis. Field data includes engineered timber production information, design data and building code requirements. The study adopts the Flexible Demand Assignment (FDA) technique to formulate a mathematical model for optimising the design of mass timber buildings and employs GA to identify optimal production solutions. Scenario analysis is performed to validate model outputs.

The proposed model successfully determines the load-bearing wall placement and building spans and specifications of floor panels that result in optimal production efficiency and the desired architectural layout. The results indicate that buildings made of a single category of thickness of panels but customised in various lengths to suit building layout are the most profitable scenario for CLT manufacturers and are a cost-effective option for clients.

The originality of the present study lies in its mathematical and model-driven approach towards implementing mass customisation in multi-storey buildings. The proposed model has been developed and validated based on a comprehensive set of real-world data and constraints.

Lactose intolerance (LI) is a disturbing gastrointestinal disorder with a high prevalence in all parts of the world, especially in Asian countries. The purpose of this study is to investigate the prevalence of LI in students from Zabol, Iran.

Based on cluster random sampling method, 887 subjects were selected for the study. Of all, 54.7 per cent of the students were boys. The mean (±SD) of age, weight and body mass index (BMI) for participants were 13.27 ± 1.14 years, 42.12 ± 10.25 kg and 18.7 ± 3.9 kg/m², respectively. LI was assessed using a validated self-administered questionnaire. After measuring the anthropometric indices, students were asked to ingest 200cc of milk. The questionnaires were completed 2 h after the ingestion of milk.

In total, 25.8 per cent of the adolescents had LI. Of all, 1, 4.6, 11, 30.2 and 53.2 per cent of affected students had severe, relatively severe, moderate, relatively mild and mild LI, respectively. The association between LI and gender, and BMI was not significant (p > 0.05 for both); however, the association between LI and the history of LI in parents (OR = 2.06; 95 per cent CI: 1.47-2.88; p < 0.001), and breakfast consumption was significant (OR = 1.49; 95 per cent CI: 1.04-2.14; p = 0.028).

Although the prevalence of LI is noticeable, majority of adolescents had mild and relatively mild LI. Parents’ history and breakfast consumption are related to the rate of LI prevalence. Appropriate strategies should be considered to prevent breakfast skipping.

This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency.

WCM efficiency was calculated using BCC input-oriented DEA model. Further, the panel data fixed effect model was used on a sample of 1391 Indian manufacturing firms spread across nine industries, covering the period from 2008 to 2019.

Firstly, the WCM efficiency of Indian manufacturing industries has been stable over the analysis period. Secondly, the capacity to generate internal resources, size, age, productivity, gross domestic product and interest rate significantly influence WCM efficiency.

First, the selected study period has observed various economic uncertainties including demonetization and recession, so the scenario might differ in normal conditions or country-wise. Second, the findings might not be generalizable to the developed economies, since the current study sample belongs to a developing economy, which further provides scope for comparative study.

An efficient model for managing the working capital comprising most vital determinants could enhance the firms' valuation and goodwill. Also, this study would be helpful for financial executives, manufacturers, policymakers, investors, researchers and other stakeholders.

This study estimates the industry-wise WCM efficiency of the Indian manufacturing sector and suggests measures to the concerned parties on areas to focus on and provide evidence on the estimated relationships of firm-level and macroeconomic determinants with WCM efficiency.