Evaluating Total Productivity of Cement Manufacturing Options with Mass Customisation Technologies

Evaluating Total Productivity of Cement Manufacturing Options with Mass Customisation Technologies

Flexible and fast-paced mass customisation cement businesses require advanced production facilities and a skilled global workforce in a COVID-19 epidemic worldwide manufacturing environment. It is a problem to measure frequently changing production lines’ productivity. This thesis introduced the classic Cobb-Douglas production methods and empirical stochastic frontier analysis tools with various sub-tools, including simulation, the voice of the house of the deployment in mass customisation, and modern production methods, etc., using trial-and-error approaches, seeking optimal return of scale for optimum resource use—minimising investment while maximising profit. Two scenarios illustrate the proposed methods. Scenario 1 closely examines the classic Cobb–Douglas production functions and develops the linear equations for the stochastic frontier analysis with technical efficiency with simulation optimisation processes, and the survey results using trial-and-error methods to study two types of geopolymer-based (metakaolin and fly ash) cement paralleling production and productivity, resulting in demand and customers’ needs in alignment with a tactic for just-in-time delivery, maximising profit. Scenario 2 closely examines the classic Cobb–Douglas production functions and develops the linear equations for stochastic frontier analysis with technical efficiency using trial-and-error methods with simulation optimisation processes and survey results to study ordinary Portland, blended Portland, and high early strength cement because of in demand and customers’ needs in alignment with a tactic for just-in-time delivery, maximising profit and minimising resources use. The main findings are the classic Cobb–Douglas production function is suitable for either labour- or machine-intensive traditional cement manufacturing. The empirical stochastic frontier function is a functional equation which requires multiple skills to collect and analyse different sources to determine a suitable regression equation to examine the state-of-the-art cement optimisation in return for scale. As a result, the classic Cobb-Douglas production function is not one of the typical cases of the empirical stochastic frontier analysis based on the two scenarios’ outcomes. It is an alternative. So, it is a variation in Lin et al. (2014). Thus, the empirical stochastic frontier analysis equation focuses on speedy manufacturing technology productivity measures.

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