Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3723
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dc.contributor.advisorOlanrewaju, Oludolapo Akanni-
dc.contributor.authorNaicker, Priancaen_US
dc.date.accessioned2021-12-03T04:36:30Z-
dc.date.available2021-12-03T04:36:30Z-
dc.date.issued2021-12-01-
dc.identifier.urihttps://hdl.handle.net/10321/3723-
dc.descriptionSubmitted in fulfilment of the requirements of Master of Engineering, Durban University of Technology, Durban, South Africa, 2021.en_US
dc.description.abstractOptimal costing decisions are required in order to ensure that organisations are globally competitive. The case study company is a global affiliate based in Durban, KwaZulu-Natal, South Africa and is involved in the manufacture and assembly of automobiles and automotive components. It was noticed that cost estimation models were only introduced at an advanced stage in the project life cycle. The concept of cost estimation and its application to improve various factors of a business has been investigated previously and existing evidence could be utilised to support further study in the field. Therefore, the aim of the study was to improve the quality of sourcing decisions by means of the introduction of a parametric cost estimation model and business process re-engineering. A case study approach was adopted. The first objective was to develop an overview of the current sourcing processes and understand the factors which influenced sourcing decisions. The methods used included the generation of a Standard Operating Procedure (SOP) for the current sourcing process, an online survey and interviews. It was concluded that there was a need to develop a detailed SOP which identified and included all impacted departments. The second objective was to redesign the sourcing process. It was concluded that the current sourcing processes did not take cost estimates into account at the early stages of the project life cycle and the inability to accurately predict costs consequently negatively impacted the cost competitiveness of the organisation. The third objective was to develop and implement a parametric cost estimation model. The model was created using Microsoft Excel. The results revealed that the Parametric Cost Estimation Model (PCEM) needed to focus on small injection moulded components as they were the highest contributor to the high Cost Index Manufacturing (CIM), which made the organisation globally uncompetitive. The results revealed that with the introduction of the PCEM and the revised sourcing process, the selected component was competitively priced.Recommendations were made for continuous process improvement and a roadmap for the further introduction of cost estimation models. Further research could also be conducted to develop an optimal cost estimation model based on analogous costing techniques or to develop a comprehensive database for other complex commodities.en_US
dc.format.extent93 pen_US
dc.language.isoenen_US
dc.subjectAutomobiles and automotiveen_US
dc.subjectCost estimation modelsen_US
dc.subject.lcshProductivity accountingen_US
dc.subject.lcshManagementen_US
dc.subject.lcshCost effectivenessen_US
dc.subject.lcshSuggestion systemsen_US
dc.subject.lcshAutomobile industry and tradeen_US
dc.titleImproving competitiveness through the application of cost estimation modelsen_US
dc.typeThesisen_US
dc.description.levelMen_US
dc.identifier.doihttps://doi.org/10.51415/10321/3723-
item.languageiso639-1en-
item.openairetypeThesis-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Theses and dissertations (Engineering and Built Environment)
Theses and dissertations (Engineering and Built Environment)
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