A vendor selection framework for the process automation industry

The process automation industry has been facing challenges related to the high cost of materials and material-related activities, which make up a significant 50% to 60% of the total project costs. The cost overruns within the process automation sector of the larger construction industry have become...

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Main Author: Lee, Hui Juan
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Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2023
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Online Access:https://hdl.handle.net/10356/168061
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1680612023-05-27T16:55:52Z A vendor selection framework for the process automation industry Lee, Hui Juan - School of Mechanical and Aerospace Engineering Felix Lena Stephanie lsfelix@ntu.edu.sg Business::Operations management::Supply chain management Engineering::Industrial engineering The process automation industry has been facing challenges related to the high cost of materials and material-related activities, which make up a significant 50% to 60% of the total project costs. The cost overruns within the process automation sector of the larger construction industry have become a substantial concern. Of particular concern are the oil and gas projects. To address this issue, improved project planning and management strategies are needed. These strategies should include project risk assessment and mitigation planning, accurate cost estimates, effective vendor selection and procurement processes. All these strategies can collectively help improve project outcomes. Effective management of the construction supply chain, including the selection of vendors, can help reduce costs, improve delivery lead time, and lower inventory levels. The objective of this dissertation is to assess the impact of vendor selection on project performance in the process automation sector. While a buyer organisation can benefit from vendor involvement in projects, it can also face challenges. Vendors being a critical part of their materials and services supply chain, organisations must carefully evaluate their vendor selection processes for effectiveness. However, these processes are often not regularly evaluated to determine their ongoing relevance and effectiveness. This study adopts a case study approach to investigate the challenges encountered by a procurement team in a leading process automation company. The study aims to develop a tailored framework for qualifying and selecting vendors in a process automation company. Despite being a technology leader in its product offerings and driving positive outcomes through organisational changes over the years, the aforementioned process automation company’s procurement processes remain outdated. This complacency has led to the lack of a defined framework for assessing vendor capabilities, which impedes their contribution to successful project outcomes. The goal of this research is to propose a vendor selection framework with a specific focus on the process automation industry. A new vendor selection framework has been developed using data from literature review, interviews, customer satisfaction surveys, and annual vendor evaluations. The proposed framework includes a multi-criteria vendor selection scorecard, and two process flowcharts: one for vendor selection and another for onboarding new vendors. These contributions come together to create a comprehensive vendor selection framework for a process automation company. Keywords: process industry, vendor selection, construction project, process plant and vendor selection, process automation Master of Science (Project Management) 2023-05-22T01:49:34Z 2023-05-22T01:49:34Z 2023 Thesis-Master by Coursework Lee, H. J. (2023). A vendor selection framework for the process automation industry. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168061 https://hdl.handle.net/10356/168061 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business::Operations management::Supply chain management
Engineering::Industrial engineering
spellingShingle Business::Operations management::Supply chain management
Engineering::Industrial engineering
Lee, Hui Juan
A vendor selection framework for the process automation industry
description The process automation industry has been facing challenges related to the high cost of materials and material-related activities, which make up a significant 50% to 60% of the total project costs. The cost overruns within the process automation sector of the larger construction industry have become a substantial concern. Of particular concern are the oil and gas projects. To address this issue, improved project planning and management strategies are needed. These strategies should include project risk assessment and mitigation planning, accurate cost estimates, effective vendor selection and procurement processes. All these strategies can collectively help improve project outcomes. Effective management of the construction supply chain, including the selection of vendors, can help reduce costs, improve delivery lead time, and lower inventory levels. The objective of this dissertation is to assess the impact of vendor selection on project performance in the process automation sector. While a buyer organisation can benefit from vendor involvement in projects, it can also face challenges. Vendors being a critical part of their materials and services supply chain, organisations must carefully evaluate their vendor selection processes for effectiveness. However, these processes are often not regularly evaluated to determine their ongoing relevance and effectiveness. This study adopts a case study approach to investigate the challenges encountered by a procurement team in a leading process automation company. The study aims to develop a tailored framework for qualifying and selecting vendors in a process automation company. Despite being a technology leader in its product offerings and driving positive outcomes through organisational changes over the years, the aforementioned process automation company’s procurement processes remain outdated. This complacency has led to the lack of a defined framework for assessing vendor capabilities, which impedes their contribution to successful project outcomes. The goal of this research is to propose a vendor selection framework with a specific focus on the process automation industry. A new vendor selection framework has been developed using data from literature review, interviews, customer satisfaction surveys, and annual vendor evaluations. The proposed framework includes a multi-criteria vendor selection scorecard, and two process flowcharts: one for vendor selection and another for onboarding new vendors. These contributions come together to create a comprehensive vendor selection framework for a process automation company. Keywords: process industry, vendor selection, construction project, process plant and vendor selection, process automation
author2 -
author_facet -
Lee, Hui Juan
format Thesis-Master by Coursework
author Lee, Hui Juan
author_sort Lee, Hui Juan
title A vendor selection framework for the process automation industry
title_short A vendor selection framework for the process automation industry
title_full A vendor selection framework for the process automation industry
title_fullStr A vendor selection framework for the process automation industry
title_full_unstemmed A vendor selection framework for the process automation industry
title_sort vendor selection framework for the process automation industry
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/168061
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