Evaluating Total Productivity of Cement Manufacturing Options with Mass Customisation Technologies

Doctorate other than PhD


Chan, Chi Shing. 2023. Evaluating Total Productivity of Cement Manufacturing Options with Mass Customisation Technologies. Doctorate other than PhD Doctor of Business Administration . University of Southern Queensland. https://doi.org/10.26192/z770y
Title

Evaluating Total Productivity of Cement Manufacturing Options with Mass Customisation Technologies

TypeDoctorate other than PhD
AuthorsChan, Chi Shing
Supervisor
1. FirstA/Pr David Thorpe
2. SecondA/Pr Mainul Islam
3. ThirdKa Ching Chan
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Business Administration
Number of Pages317
Year2023
PublisherUniversity of Southern Queensland
Place of PublicationAustralia
Digital Object Identifier (DOI)https://doi.org/10.26192/z770y
Abstract

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.

KeywordsThe Classic Cobb-Douglas Production Method; Empirical Stochastic Frontier Analysis Method; Productivity; Mass Customisation Technologies and OptimalReturn of Scale
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400504. Construction engineering
401102. Environmentally sustainable engineering
Public Notes

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Byline AffiliationsSchool of Surveying and Built Environment
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