Green information technology (IT) adoption is an important topic in the fields of information systems, business sustainability, and corporate social responsibility. This case study applies the green IT adoption model (GITAM) to perform a systematic and qualitative readiness assessment at a major South African IT services vendor. Thematic data analysis was used to analyse the data collected from managers and specialist IT staff. The assessment revealed that the main organisational adoption readiness barriers were the lack of a formal green IT policy, an unclearly defined green IT governance framework, and a lack of green performance management. The main drivers of adoption were economic imperatives and regulatory and ethical requirements. Interestingly, a contextual variable – an exogenous shock caused by COVID-19 and the robustness of the organisation’s crisis response during the pandemic – rapidly increased the rate of green IT adoption at the firm. Keywords: Corporate Social Responsibility, Green IT Adoption Model (GITAM), Case Study, G-readiness Assessment, Green IT, Sustainability, Technology Adoption
{"title":"ASSESSING ORGANISATIONS’ READINESS TO ADOPT GREEN INFORMATION TECHNOLOGY: THE CASE OF A SOUTH AFRICAN INFORMATION TECHNOLOGY SERVICES VENDOR","authors":"Isaac Muranganwa, Rennie Naidoo","doi":"10.7166/34-2-2881","DOIUrl":"https://doi.org/10.7166/34-2-2881","url":null,"abstract":"Green information technology (IT) adoption is an important topic in the fields of information systems, business sustainability, and corporate social responsibility. This case study applies the green IT adoption model (GITAM) to perform a systematic and qualitative readiness assessment at a major South African IT services vendor. Thematic data analysis was used to analyse the data collected from managers and specialist IT staff. The assessment revealed that the main organisational adoption readiness barriers were the lack of a formal green IT policy, an unclearly defined green IT governance framework, and a lack of green performance management. The main drivers of adoption were economic imperatives and regulatory and ethical requirements. Interestingly, a contextual variable – an exogenous shock caused by COVID-19 and the robustness of the organisation’s crisis response during the pandemic – rapidly increased the rate of green IT adoption at the firm. Keywords: Corporate Social Responsibility, Green IT Adoption Model (GITAM), Case Study, G-readiness Assessment, Green IT, Sustainability, Technology Adoption","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135001999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Peruvian companies’ craft brick stands currently experience significant growth in sales. Thus brickyards seek to reduce the amount of waste to increase productivity and reduce cost overruns. In this study, the problem that has the greatest economic impact on a brick company is the excessive amount of waste. For this reason, the implementation of a model based on the Lean Six Sigma (LSS) methodology is proposed, applying Poka Yoke, Jidoka, Standardised Work, and Just in Time in order to reduce the number of defective bricks and cost overruns. The research project focused on the tambourine brick, the type whose percentage of generated waste is the highest in the production batch. To do this, the current situation was analysed; the main causes of the problem were identified and measured; and then Lean Six Sigma tools were used to attack the root cause. Finally, the proposed design reduced overheated bricks by 2.36%, wet bricks by 2.01%, and poorly stacked bricks by 1.8%, obtaining a 6.92% reduction in shrinkage and increasing the level of Six Sigma to 3.9, which contributed to the reduction of losses in the brickyard. Keywords: Lean Six Sigma, Poka Yoke, Jidoka, Standardized Work, brickyard, waste
秘鲁公司的工艺砖摊位目前的销售额显著增长。因此，砖厂寻求减少浪费的数量，以提高生产率和减少成本超支。在本研究中，对砖厂经济影响最大的问题是浪费过多。出于这个原因，提出了基于精益六西格玛(LSS)方法的模型的实施，应用Poka Yoke, Jidoka，标准化工作和Just in Time，以减少缺陷砖的数量和成本超支。该研究项目的重点是铃鼓砖，这是生产批次中产生的废物百分比最高的类型。为此，对现状进行了分析;确定并测量了问题的主要原因;然后使用精益六西格玛工具来解决根本原因。最后，本设计减少过热砖2.36%、湿砖2.01%、堆放不良砖1.8%，收缩率降低6.92%，六西格玛水平提高到3.9，减少了砖厂的损失。关键词:精益六西格玛，Poka Yoke, jiidoka，标准化工作，砖厂，废物
{"title":"LEAN SIX SIGMA METHODOLOGY TO REDUCE EXCESS WASTAGE IN A BRICKYARD: A CASE STUDY","authors":"Juan Carlos Quiroz Flores, IF Varas, Ahad Ali","doi":"10.7166/34-2-2865","DOIUrl":"https://doi.org/10.7166/34-2-2865","url":null,"abstract":"Peruvian companies’ craft brick stands currently experience significant growth in sales. Thus brickyards seek to reduce the amount of waste to increase productivity and reduce cost overruns. In this study, the problem that has the greatest economic impact on a brick company is the excessive amount of waste. For this reason, the implementation of a model based on the Lean Six Sigma (LSS) methodology is proposed, applying Poka Yoke, Jidoka, Standardised Work, and Just in Time in order to reduce the number of defective bricks and cost overruns. The research project focused on the tambourine brick, the type whose percentage of generated waste is the highest in the production batch. To do this, the current situation was analysed; the main causes of the problem were identified and measured; and then Lean Six Sigma tools were used to attack the root cause. Finally, the proposed design reduced overheated bricks by 2.36%, wet bricks by 2.01%, and poorly stacked bricks by 1.8%, obtaining a 6.92% reduction in shrinkage and increasing the level of Six Sigma to 3.9, which contributed to the reduction of losses in the brickyard. Keywords: Lean Six Sigma, Poka Yoke, Jidoka, Standardized Work, brickyard, waste","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kanyinda Kabuya, Oludolapo Akanni Olanrewaju, Ian Joseph Lazarus
This article describes the energy-saving measures in commercial buildings from different perspectives on energy saving in cities. In recent years, improving energy conservation in commercial buildings has become an issue of great importance for the financial well-being of organisations. The study uses the define-measure-analyze-improve-control (DMAIC) Six Sigma approach to identify the factors that contribute to increases in electricity consumption. With the increasing shortage of energy, two years’ worth of energy consumption data from a commercial building in South Africa was collected and analyzed using statistical tools. The research findings revealed that the boiler had the highest electricity consumption (38.33 per cent), followed by the kitchen (24.20 per cent) and the rest of the building (37.47 per cent). After applying the DMAIC process, it showed that the electricity consumption of the boiler could be reduced by 6 per cent during the improvement phase. Keywords: Six Sigma, DMAIC, Energy management, Energy consumption, Energy efficiency
{"title":"IMPROVING ENERGY USAGE IN COMMERCIAL BUILDINGS USING SIX SIGMA DMAIC","authors":"Kanyinda Kabuya, Oludolapo Akanni Olanrewaju, Ian Joseph Lazarus","doi":"10.7166/34-2-2392","DOIUrl":"https://doi.org/10.7166/34-2-2392","url":null,"abstract":"This article describes the energy-saving measures in commercial buildings from different perspectives on energy saving in cities. In recent years, improving energy conservation in commercial buildings has become an issue of great importance for the financial well-being of organisations. The study uses the define-measure-analyze-improve-control (DMAIC) Six Sigma approach to identify the factors that contribute to increases in electricity consumption. With the increasing shortage of energy, two years’ worth of energy consumption data from a commercial building in South Africa was collected and analyzed using statistical tools. The research findings revealed that the boiler had the highest electricity consumption (38.33 per cent), followed by the kitchen (24.20 per cent) and the rest of the building (37.47 per cent). After applying the DMAIC process, it showed that the electricity consumption of the boiler could be reduced by 6 per cent during the improvement phase. Keywords: Six Sigma, DMAIC, Energy management, Energy consumption, Energy efficiency","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135001991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maintenance of rail infrastructure is an important element in rail operations to keep traffic moving. However, maintenance causes infrastructure to be taken out of service, which impacts traffic flow. In this study, the requirements of a maintenance possession scheduler for a South African application were investigated and a proposed solution was developed. The main objective of the scheduler was to minimise the deviation of the train service on a subset of rail infrastructure while ensuring that the required maintenance was done. An application case – the railway infrastructure between Bellville and Wellington in the Western Cape province of South Africa – was identified. A novel mixed-integer linear programming model that could do possession scheduling for 24 hours on a microscopic level was formulated for this case, and implemented in the software Cplex, after which it was validated. Finally, several experiments were conducted to investigate the model’s performance and the results. It was found that the model delivered optimal results in less than nine minutes, which makes it a feasible maintenance possession scheduler for day-to-day work in the immediate planning horizon. Keywords: rail scheduling, maintenance, mixed-integer linear programming
{"title":"DEVELOPMENT OF A MAINTENANCE POSSESSION SCHEDULER FOR A RAILWAY","authors":"Dewald Cillie, James Bekker","doi":"10.7166/34-2-2750","DOIUrl":"https://doi.org/10.7166/34-2-2750","url":null,"abstract":"Maintenance of rail infrastructure is an important element in rail operations to keep traffic moving. However, maintenance causes infrastructure to be taken out of service, which impacts traffic flow. In this study, the requirements of a maintenance possession scheduler for a South African application were investigated and a proposed solution was developed. The main objective of the scheduler was to minimise the deviation of the train service on a subset of rail infrastructure while ensuring that the required maintenance was done. An application case – the railway infrastructure between Bellville and Wellington in the Western Cape province of South Africa – was identified. A novel mixed-integer linear programming model that could do possession scheduling for 24 hours on a microscopic level was formulated for this case, and implemented in the software Cplex, after which it was validated. Finally, several experiments were conducted to investigate the model’s performance and the results. It was found that the model delivered optimal results in less than nine minutes, which makes it a feasible maintenance possession scheduler for day-to-day work in the immediate planning horizon. Keywords: rail scheduling, maintenance, mixed-integer linear programming","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joshua Ian Darley-Waddilove, Leila Louise Goedhals-Gerber, Jeanette Engelmohr Thiart
This article investigates the viability of using forced allocation as a mechanism to alleviate capacity challenges through scenarios of varying allowable citrus throughput at the Port of Durban. Rule-based resource allocation techniques are used to divide the allowable citrus throughput at the constrained port between production regions by setting quotas. The allocation model framework minimises the impact of the forced allocation on the citrus export cold chain by setting the quotas as constraints in an integer programming (IP) formulation of a minimum cost transportation problem (TP) for the system. The results show that forced allocation is feasible under at least one resource allocation technique for four of the scenarios tested. Keywords: Allocation models, citrus exports, port capacity, Port of Durban
{"title":"AN ALLOCATION MODEL FRAMEWORK FOR A CAPACITY-CONSTRAINED PORT: A CASE FOR CITRUS EXPORTS AT THE PORT OF DURBAN","authors":"Joshua Ian Darley-Waddilove, Leila Louise Goedhals-Gerber, Jeanette Engelmohr Thiart","doi":"10.7166/34-2-2815","DOIUrl":"https://doi.org/10.7166/34-2-2815","url":null,"abstract":"This article investigates the viability of using forced allocation as a mechanism to alleviate capacity challenges through scenarios of varying allowable citrus throughput at the Port of Durban. Rule-based resource allocation techniques are used to divide the allowable citrus throughput at the constrained port between production regions by setting quotas. The allocation model framework minimises the impact of the forced allocation on the citrus export cold chain by setting the quotas as constraints in an integer programming (IP) formulation of a minimum cost transportation problem (TP) for the system. The results show that forced allocation is feasible under at least one resource allocation technique for four of the scenarios tested. Keywords: Allocation models, citrus exports, port capacity, Port of Durban","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plastic injection molding has complex process parameters. The Six Sigma improvement method mainly uses quality control and statistical methods to improve product quality, so as to reduce the cost and waste caused by defective products. Taiwan is the world leader for original equipment manufacturing in the laptop industry, and related peripheral accessories are also a major concern of customers. The subject of this study was a professional supplier of laptop batteries. Through the collection of customer complaint data, it was found that battery case deformation was the most important problem for customers. Therefore, in order to remain competitive, the battery case deformation problem needed to be overcome first. Enterprises need to improve their existing processes to reduce the rate of product defects, improve output efficiency and product quality, and reduce production costs, so as to improve their competitiveness in the industry.This study took a Taiwanese company as an example to improve the plastic injection process through the improvement steps of Six Sigma. In this process, two key process factors, namely the injection speed and the cooling time, were identified by analytical tools. After calculating customers’ daily product demand, the most suitable parameters were found using the ‘design of experiments’ method. The results showed that the process capacity and product yield could be significantly improved. The key to the success of this Six Sigma project was the project implementer’s design of the experiment.
{"title":"THE APPLICATION OF SIX SIGMA TO IMPROVE THE YIELD OF PLASTIC INJECTION MOLDING","authors":"Chun Tze Hsiao, Chih-Ping Lin, Ping-Hsin Fan","doi":"10.7166/34-2-2887","DOIUrl":"https://doi.org/10.7166/34-2-2887","url":null,"abstract":"Plastic injection molding has complex process parameters. The Six Sigma improvement method mainly uses quality control and statistical methods to improve product quality, so as to reduce the cost and waste caused by defective products. Taiwan is the world leader for original equipment manufacturing in the laptop industry, and related peripheral accessories are also a major concern of customers. The subject of this study was a professional supplier of laptop batteries. Through the collection of customer complaint data, it was found that battery case deformation was the most important problem for customers. Therefore, in order to remain competitive, the battery case deformation problem needed to be overcome first. Enterprises need to improve their existing processes to reduce the rate of product defects, improve output efficiency and product quality, and reduce production costs, so as to improve their competitiveness in the industry.This study took a Taiwanese company as an example to improve the plastic injection process through the improvement steps of Six Sigma. In this process, two key process factors, namely the injection speed and the cooling time, were identified by analytical tools. After calculating customers’ daily product demand, the most suitable parameters were found using the ‘design of experiments’ method. The results showed that the process capacity and product yield could be significantly improved. The key to the success of this Six Sigma project was the project implementer’s design of the experiment.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135001983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suzaan Pretorius, Herman Steyn, Taryn Jane Bond-Barnard
This paper explores whether organisations in a developing country have become more mature over time in their project management practices, and compares the current state to findings from a similar study conducted in 2010. It thus contributes to the scant literature on project management maturity in developing countries. Six hundred responses to a project management maturity questionnaire were used to investigate the perceived project management success of 9 389 projects. The results indicated that the perceived average project management maturity dropped from the 2010 value of 2.88 to 2.64 in 2020. Despite this, most of the projects surveyed were still perceived as successful. Keywords: Project management maturity, project management success, developing countries
{"title":"PROJECT MANAGEMENT MATURITY AND PROJECT MANAGEMENT SUCCESS IN DEVELOPING COUNTRIES","authors":"Suzaan Pretorius, Herman Steyn, Taryn Jane Bond-Barnard","doi":"10.7166/34-2-2760","DOIUrl":"https://doi.org/10.7166/34-2-2760","url":null,"abstract":"This paper explores whether organisations in a developing country have become more mature over time in their project management practices, and compares the current state to findings from a similar study conducted in 2010. It thus contributes to the scant literature on project management maturity in developing countries. Six hundred responses to a project management maturity questionnaire were used to investigate the perceived project management success of 9 389 projects. The results indicated that the perceived average project management maturity dropped from the 2010 value of 2.88 to 2.64 in 2020. Despite this, most of the projects surveyed were still perceived as successful. Keywords: Project management maturity, project management success, developing countries","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135001997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The technology transfer office (TTO) is central to the Belgian university KU Leuven Research and Development (LRD) department, and is commendable with respect to the challenges of technology transfer. Together with the current industrial revolution, the case study focuses on a contemporary problem with several dimensions. Background is provided on philosophical perspectives, academic power, technology transfer platforms, and technology readiness. The exemplary characteristics of KU Leuven and evidence of impressive artefacts obtained through personal observation of the LRD are presented. Essentially, the case study explains the primary functions of a multidisciplinary TTO for effective technology transfer to ecosystems, with platforms such as the library, university hospitals, and others. Keywords: technology readiness, technology transfer, technology transfer office, technology transfer platforms
{"title":"TECHNOLOGY TRANSFER PERSPECTIVES: THE KU LEUVEN CASE STUDY","authors":"Rigard Johan Steenkamp","doi":"10.7166/34-2-2836","DOIUrl":"https://doi.org/10.7166/34-2-2836","url":null,"abstract":"The technology transfer office (TTO) is central to the Belgian university KU Leuven Research and Development (LRD) department, and is commendable with respect to the challenges of technology transfer. Together with the current industrial revolution, the case study focuses on a contemporary problem with several dimensions. Background is provided on philosophical perspectives, academic power, technology transfer platforms, and technology readiness. The exemplary characteristics of KU Leuven and evidence of impressive artefacts obtained through personal observation of the LRD are presented. Essentially, the case study explains the primary functions of a multidisciplinary TTO for effective technology transfer to ecosystems, with platforms such as the library, university hospitals, and others. Keywords: technology readiness, technology transfer, technology transfer office, technology transfer platforms","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The regulation of drones is a huge challenge for most countries around the world. The regulation and application processes are as much a challenge in South Africa as they are elsewhere. The number of drones is growing at a rapid pace, and there is a need to improve the current status to benefit from the technology. The purpose of this paper is to evaluate the South African drone industry and to propose recommendations to enhance drone technology in South Africa. The research design applied in this paper was qualitative. Data was collected by interviewing drone operators who were interested in participating in this study. This was done to understand the drone approval process in South Africa and the perceptions of drone operators. The results indicated that commercial drone operators are being negatively impacted by the drone approval structure in South Africa and that it is holding the industry back. Key factors affecting the existing drone approval structure were identified and used to propose the strategies for improvement. The findings in this study could assist stakeholders in the South African drone industry to make effective decisions and to formulate policies that would promote the technological growth of the industry. Keywords: Approval process, Drones, Regulation, Technological growth
{"title":"INVESTIGATING THE TECHNOLOGICAL GROWTH OF THE DRONE INDUSTRY IN SOUTH AFRICA","authors":"Quintin Mokoena, Ilesanmi Daniyan, Khumbulani Mpofu, Oluwayemisi Abisuga","doi":"10.7166/34-2-2817","DOIUrl":"https://doi.org/10.7166/34-2-2817","url":null,"abstract":"The regulation of drones is a huge challenge for most countries around the world. The regulation and application processes are as much a challenge in South Africa as they are elsewhere. The number of drones is growing at a rapid pace, and there is a need to improve the current status to benefit from the technology. The purpose of this paper is to evaluate the South African drone industry and to propose recommendations to enhance drone technology in South Africa. The research design applied in this paper was qualitative. Data was collected by interviewing drone operators who were interested in participating in this study. This was done to understand the drone approval process in South Africa and the perceptions of drone operators. The results indicated that commercial drone operators are being negatively impacted by the drone approval structure in South Africa and that it is holding the industry back. Key factors affecting the existing drone approval structure were identified and used to propose the strategies for improvement. The findings in this study could assist stakeholders in the South African drone industry to make effective decisions and to formulate policies that would promote the technological growth of the industry. Keywords: Approval process, Drones, Regulation, Technological growth","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indonesia has the lowest Industry 4.0 (I4.0) readiness in South East Asia, and uses the INDI 4.0 instrument (Indonesia Industry 4.0 readiness index), which is not as comprehensive and accurate as it could be. An Initial survey confirmed that only 56.86% of respondents agreed that INDI 4.0 accurately measured readiness in manufacturing operations. Unlike the primary I4.0 indices, INDI 4.0 lacks comprehensive I4.0 dimensions and characteristics. This paper aims to identify the dimensions and indicators of I4.0 readiness to enhance INDI 4.0 through an exploratory mixed-method research approach with a multiphase research design. The first phase consisted of a qualitative approach through a documentary review, interviews, and observations to explore the dimensions and indicators of I4.0 readiness. This phase successfully identified four dimensions that experts, academics, and practitioners validated: technology, data life cycle, I4.0 design principles, and smart factory. These dimensions were broken down into 27 indicators of I4.0 readiness, then validated again through a statistical approach before being affirmed by a survey with a Pearson’s correlation > 0.361 and Cronbach’s alpha of 0.987, which indicated validity and reliability. The second phase, using a quantitative approach through a survey, confirmed the four dimensions and 27 indicators for measuring I4.0 readiness levels; these were ‘not ready’, ‘early stage’, ‘moderate readiness’, ‘readiness ripe’, and ‘already implemented’. This finding comprehensively measured I4.0 readiness based on feedback from industries struggling to adopt I4.0, especially in developing countries such as Indonesia. This finding also differed from existing indices (Acatech, RAMI 4.0, Dreamy, SIMMI 4.0. IMPULS) from developed countries and industries already stable in implementing I4.0. eywords: (Industry 4.0, I4.0 readiness indicators, INDI 4.0)
{"title":"CAPTURING THE REALITY OF INDUSTRY 4.0 READINESS DIMENSIONS AND INDICATORS IN A DEVELOPING COUNTRY: AN ANALYSIS OF APPLYING I4.0 IN INDONESIA","authors":"Hasbullah Hasbullah, Salleh Ahmad Bareduan","doi":"10.7166/34-2-2846","DOIUrl":"https://doi.org/10.7166/34-2-2846","url":null,"abstract":"Indonesia has the lowest Industry 4.0 (I4.0) readiness in South East Asia, and uses the INDI 4.0 instrument (Indonesia Industry 4.0 readiness index), which is not as comprehensive and accurate as it could be. An Initial survey confirmed that only 56.86% of respondents agreed that INDI 4.0 accurately measured readiness in manufacturing operations. Unlike the primary I4.0 indices, INDI 4.0 lacks comprehensive I4.0 dimensions and characteristics. This paper aims to identify the dimensions and indicators of I4.0 readiness to enhance INDI 4.0 through an exploratory mixed-method research approach with a multiphase research design. The first phase consisted of a qualitative approach through a documentary review, interviews, and observations to explore the dimensions and indicators of I4.0 readiness. This phase successfully identified four dimensions that experts, academics, and practitioners validated: technology, data life cycle, I4.0 design principles, and smart factory. These dimensions were broken down into 27 indicators of I4.0 readiness, then validated again through a statistical approach before being affirmed by a survey with a Pearson’s correlation > 0.361 and Cronbach’s alpha of 0.987, which indicated validity and reliability. The second phase, using a quantitative approach through a survey, confirmed the four dimensions and 27 indicators for measuring I4.0 readiness levels; these were ‘not ready’, ‘early stage’, ‘moderate readiness’, ‘readiness ripe’, and ‘already implemented’. This finding comprehensively measured I4.0 readiness based on feedback from industries struggling to adopt I4.0, especially in developing countries such as Indonesia. This finding also differed from existing indices (Acatech, RAMI 4.0, Dreamy, SIMMI 4.0. IMPULS) from developed countries and industries already stable in implementing I4.0. eywords: (Industry 4.0, I4.0 readiness indicators, INDI 4.0)","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135001994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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