Machine learning has become an immensely important technique for automatically extracting information from large data sets. By doing so, it has become a valuable tool in various industries. In this investigation, the use of machine learning techniques for the production of railway wheel prognostics was investigated. Metrorail’s railway wheel wear data was used as a case study for this investigation. The goal was to demonstrate how machine learning can used on the data generated by Metrorail’s routine operations. Three machine learning models were implemented: logistic regression, artificial neural networks, and random forest. The investigation showed that all three models provided prognoses with an accuracy of over 90 per cent, and had an area under curve (AUC) measurement exceeding 0.8. Random forest was the best performing model, with an AUC measurement of 0.897 and an accuracy of 93.5 per cent.
{"title":"IMPLEMENTATION OF MACHINE LEARNING TECHNIQUES FOR PROGNOSTICS FOR RAILWAY WHEEL FLANGE WEAR","authors":"C. Fourie, J. D. Plessis","doi":"10.7166/31-1-2128","DOIUrl":"https://doi.org/10.7166/31-1-2128","url":null,"abstract":"Machine learning has become an immensely important technique for automatically extracting information from large data sets. By doing so, it has become a valuable tool in various industries. In this investigation, the use of machine learning techniques for the production of railway wheel prognostics was investigated. Metrorail’s railway wheel wear data was used as a case study for this investigation. The goal was to demonstrate how machine learning can used on the data generated by Metrorail’s routine operations. Three machine learning models were implemented: logistic regression, artificial neural networks, and random forest. The investigation showed that all three models provided prognoses with an accuracy of over 90 per cent, and had an area under curve (AUC) measurement exceeding 0.8. Random forest was the best performing model, with an AUC measurement of 0.897 and an accuracy of 93.5 per cent.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"78-92"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45020989","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 supplier selection problem be comes more urgent as competition in the market increases. Quality, cost, and the timely delivery of a product mostly depends on the manufacturer’s suppliers and the materials supplied. Therefore manufacturers are very elaborate in selecting their suppliers and work hard to develop supplier selection strategies. In this study, event tree analysis (ETA) is used to solve a manufacturing firm’s supplier selection problem. ETA is a method that is traditionally used for risk analysis problems, combining the probabilities of risk occurrences subject to the necessary precautions. In this study, this structure is used to select and evaluate suppliers. An event tree is developed to analyse each possible supplier, with branching being used according to the supplier selection criteria. The probability of each branch is set as the performance value of the supplier according to the selection criteria. Finally, the supplier is evaluated by combining all performance values on an event tree basis. Fuzzy logic is also incorporated into the event tree methodology to decrease human error and the effect of uncertainty. Fuzzy triangular numbers are used to denote the performance values of suppliers, and fuzzy ranking is used to distinguish the suppliers into classes. The proposed methodology is applied to nine possible suppliers of a specific material. The results reveal that two of the suppliers dominate all the others in the fuzzy ranking.
{"title":"A FUZZY EVENT TREE METHODOLOGY MODIFIED TO SELECT AND EVALUATE SUPPLIERS","authors":"Pinar Mizrak Ozfirat","doi":"10.7166/31-1-2027","DOIUrl":"https://doi.org/10.7166/31-1-2027","url":null,"abstract":"The supplier selection problem be comes more urgent as competition in the market increases. Quality, cost, and the timely delivery of a product mostly depends on the manufacturer’s suppliers and the materials supplied. Therefore manufacturers are very elaborate in selecting their suppliers and work hard to develop supplier selection strategies. In this study, event tree analysis (ETA) is used to solve a manufacturing firm’s supplier selection problem. ETA is a method that is traditionally used for risk analysis problems, combining the probabilities of risk occurrences subject to the necessary precautions. In this study, this structure is used to select and evaluate suppliers. An event tree is developed to analyse each possible supplier, with branching being used according to the supplier selection criteria. The probability of each branch is set as the performance value of the supplier according to the selection criteria. Finally, the supplier is evaluated by combining all performance values on an event tree basis. Fuzzy logic is also incorporated into the event tree methodology to decrease human error and the effect of uncertainty. Fuzzy triangular numbers are used to denote the performance values of suppliers, and fuzzy ranking is used to distinguish the suppliers into classes. The proposed methodology is applied to nine possible suppliers of a specific material. The results reveal that two of the suppliers dominate all the others in the fuzzy ranking.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"35-46"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45333834","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}
Organisations cannot put their efforts equally into all the best practices that impact operational performance, due to their limited resources, their ineffective usage, government policies, and inadequate strategic planning. In this contribution, we aim to identify and prioritise the practices with the most impact on operational performance. Twelve practices that steer operational performance were identified through a literature survey. Second, the identified practices were prioritised and evaluated, based on improving operational performance by using a hybrid approach. The analytical hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) method were used such that AHP was applied to determine the relative weights of alternatives, and then the final ranking was obtained by conducting a TOPSIS analysis. Empirical data were collected from eight experts and 417 users at operational-level. The results suggest that lean management, total quality management, six sigma, and supply chain management practices rank 1st, 2nd, 3rd, and 4th respectively, signifying the practices with the most influence and making the greatest contribution. This strategic understanding will help researchers and practitioners to frame competitive strategies in order to pay more attention to those practices that have a greater influence on operational performance.
{"title":"PRIORITISING THE PRACTICES THAT INFLUENCE THE OPERATIONAL PERFORMANCE OF MANUFACTURING ORGANISATIONS USING HYBRID AHP-TOPSIS ANALYSIS","authors":"Asif Arshad, Asif Mahmood, A. Salam","doi":"10.7166/31-1-2199","DOIUrl":"https://doi.org/10.7166/31-1-2199","url":null,"abstract":"Organisations cannot put their efforts equally into all the best practices that impact operational performance, due to their limited resources, their ineffective usage, government policies, and inadequate strategic planning. In this contribution, we aim to identify and prioritise the practices with the most impact on operational performance. Twelve practices that steer operational performance were identified through a literature survey. Second, the identified practices were prioritised and evaluated, based on improving operational performance by using a hybrid approach. The analytical hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) method were used such that AHP was applied to determine the relative weights of alternatives, and then the final ranking was obtained by conducting a TOPSIS analysis. Empirical data were collected from eight experts and 417 users at operational-level. The results suggest that lean management, total quality management, six sigma, and supply chain management practices rank 1st, 2nd, 3rd, and 4th respectively, signifying the practices with the most influence and making the greatest contribution. This strategic understanding will help researchers and practitioners to frame competitive strategies in order to pay more attention to those practices that have a greater influence on operational performance.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"65-77"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43047024","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}
Although manufacturing operations management (MOM) could play an important role in the Fourth Industrial Revolution by making manufacturers more competitive, MOM projects are complex and expensive, and their implementation challenging. The aim of this qualitative research was to establish the engagement requisites to ensure beneficial application of MOM technology. Participants in the study included MOM suppliers and clients with 178-year collective experience. From a thematic analysis, it became evident that a sales approach of selling business benefits, as opposed to technology features, is more suitable for fully exploiting the opportunities and benefits of MOM technology. The communication gap between suppliers and clients also emerged as a probable reason for the failure to embrace MOM technology. One way to address this gap is to focus consciously on enhancing empathy between the role-players. A multi-level engagement structure set up on the client’s side could enhance the communication between suppliers and clients, and assist with the consensus buying phenomenon that is manifesting in the contemporary complex sales environment. It became apparent that a framework to engage in the analysis of MOM system opportunities will provide a holistic, integrated, and systemic solution to realising the maximum benefits of MOM technology.
{"title":"UNLOCKING OPPORTUNITIES IN MANUFACTURING OPERATIONS MANAGEMENT SYSTEMS: A PROPOSED FRAMEWORK","authors":"Cornelius Van der Walt, G. Tosen, K. Govender","doi":"10.7166/31-1-2210","DOIUrl":"https://doi.org/10.7166/31-1-2210","url":null,"abstract":"Although manufacturing operations management (MOM) could play an important role in the Fourth Industrial Revolution by making manufacturers more competitive, MOM projects are complex and expensive, and their implementation challenging. The aim of this qualitative research was to establish the engagement requisites to ensure beneficial application of MOM technology. Participants in the study included MOM suppliers and clients with 178-year collective experience. From a thematic analysis, it became evident that a sales approach of selling business benefits, as opposed to technology features, is more suitable for fully exploiting the opportunities and benefits of MOM technology. The communication gap between suppliers and clients also emerged as a probable reason for the failure to embrace MOM technology. One way to address this gap is to focus consciously on enhancing empathy between the role-players. A multi-level engagement structure set up on the client’s side could enhance the communication between suppliers and clients, and assist with the consensus buying phenomenon that is manifesting in the contemporary complex sales environment. It became apparent that a framework to engage in the analysis of MOM system opportunities will provide a holistic, integrated, and systemic solution to realising the maximum benefits of MOM technology.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"26-34"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43100536","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}
F. Nunes, José Antônio Valle Antunes Junior, André Dupont, Gabriel Pires, J. D. Sordi, D. M. Quevedo
This research aimed at identifying the competitive criteria that, together with modularisation, impacted the differentiation strategy in industries manufacturing machinery and equipment in Brazil. This was survey-type research that used structural equation modelling (SEM-PLS) for data analysis. A total of 236 responses were obtained from participants in Brazilian machinery and equipment companies in the area of R&D, including directors, managers, coordinators, and supervisors. From this sample, the results show that applied modularisation positively impacted the competitive criteria related to innovation, quality, and flexibility, whereas, when applied to the delivery costs and performance criteria, it did not contribute to a competitive differential. Since it deals with a non-probabilistic sample by convenience, the present model does not represent the relationship between the constructs in a definitive way, for it concerns a model that address a sample of the machinery and equipment manufacturing industry, referring to ISIC D28, from Brazil.
{"title":"MODULARISATION AS A COMPETITIVE CRITERION IN INDUSTRIES MANUFACTURING MACHINERY AND EQUIPMENT IN BRAZIL","authors":"F. Nunes, José Antônio Valle Antunes Junior, André Dupont, Gabriel Pires, J. D. Sordi, D. M. Quevedo","doi":"10.7166/31-1-2207","DOIUrl":"https://doi.org/10.7166/31-1-2207","url":null,"abstract":"This research aimed at identifying the competitive criteria that, together with modularisation, impacted the differentiation strategy in industries manufacturing machinery and equipment in Brazil. This was survey-type research that used structural equation modelling (SEM-PLS) for data analysis. A total of 236 responses were obtained from participants in Brazilian machinery and equipment companies in the area of R&D, including directors, managers, coordinators, and supervisors. From this sample, the results show that applied modularisation positively impacted the competitive criteria related to innovation, quality, and flexibility, whereas, when applied to the delivery costs and performance criteria, it did not contribute to a competitive differential. Since it deals with a non-probabilistic sample by convenience, the present model does not represent the relationship between the constructs in a definitive way, for it concerns a model that address a sample of the machinery and equipment manufacturing industry, referring to ISIC D28, from Brazil.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"93-109"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41399183","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}
Quality management has ceased to be an operational extra, and has become imperative to doing business in a saturated market environment with demanding clients. It is now a significant component of holistic operational management. The ultimate aim remains customer satisfaction, using the most effective techniques to ensure the most efficient and cost-effective process. Statistical process control (SPC) and statistical quality control have been widely used in quality management to enhance process performance by reducing process variation. However, SPC can only be effective if implemented with a structured problem-solving tool. The diagnostic ability of statistics, coupled with a failure modes and effect analysis (FMEA) as the problem-solving methodology during an out-of-control action plan, creates an environment conducive to improving processes and empowering employees. The failure modes and effect analysis was used to identify and eliminate sources of variation, which led to a reduction in process variation by 63 per cent and a decrease in defects by 160 961 per million opportunities.
{"title":"USING FAILURE MODES AND EFFECTS ANALYSIS AS A PROBLEM-SOLVING GUIDELINE WHEN IMPLEMENTING SPC IN A SOUTH AFRICAN CHEMICAL MANUFACTURING COMPANY","authors":"L. Appollis, Wynand A Van Dyk, S. Matope","doi":"10.7166/31-1-2294","DOIUrl":"https://doi.org/10.7166/31-1-2294","url":null,"abstract":"Quality management has ceased to be an operational extra, and has become imperative to doing business in a saturated market environment with demanding clients. It is now a significant component of holistic operational management. The ultimate aim remains customer satisfaction, using the most effective techniques to ensure the most efficient and cost-effective process. Statistical process control (SPC) and statistical quality control have been widely used in quality management to enhance process performance by reducing process variation. However, SPC can only be effective if implemented with a structured problem-solving tool. The diagnostic ability of statistics, coupled with a failure modes and effect analysis (FMEA) as the problem-solving methodology during an out-of-control action plan, creates an environment conducive to improving processes and empowering employees. The failure modes and effect analysis was used to identify and eliminate sources of variation, which led to a reduction in process variation by 63 per cent and a decrease in defects by 160 961 per million opportunities.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"157-169"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43238851","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 Congolese construction industry faces many difficulties in dealing with the different factors that affect the proper performance of the construction process. Several key indicators (factors) that influence the construction performance in the Congo were selected for study and discussion. This study aimed to identify and evaluate the most significant key performance indicators that affect construction projects in the Congo, and to classify them using the relative importance index (RII). The most important factors affecting Congolese construction projects were design, client management, contractor productivity, scheduling, and the contract. The experience and skill of the design team were found to affect the design-related factors, whereas delayed payments and delivery of the construction site to the contractor were found to be the most important factors affecting client/owner-related factors. Client and management factors shared an equal average significant value of 0.68, while the productivity scheduling and contract related factors for the contractor shared an equal average value of 0.67. Finally, this work makes some recommendations to the Congolese construction industry in order to ensure proper project performance and successful projects.
{"title":"12 STUDY ON FACTORS AFFECTING THE PERFORMANCE OF CONSTRUCTION PROJECTS IN THE DEMOCRATIC REPUBLIC OF THE CONGO","authors":"B. F. Bitamba, S. An","doi":"10.7166/30-4-2193","DOIUrl":"https://doi.org/10.7166/30-4-2193","url":null,"abstract":"The Congolese construction industry faces many difficulties in dealing with the different factors that affect the proper performance of the construction process. Several key indicators (factors) that influence the construction performance in the Congo were selected for study and discussion. This study aimed to identify and evaluate the most significant key performance indicators that affect construction projects in the Congo, and to classify them using the relative importance index (RII). The most important factors affecting Congolese construction projects were design, client management, contractor productivity, scheduling, and the contract. The experience and skill of the design team were found to affect the design-related factors, whereas delayed payments and delivery of the construction site to the contractor were found to be the most important factors affecting client/owner-related factors. Client and management factors shared an equal average significant value of 0.68, while the productivity scheduling and contract related factors for the contractor shared an equal average value of 0.67. Finally, this work makes some recommendations to the Congolese construction industry in order to ensure proper project performance and successful projects.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"12-25"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45753132","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}
In 2016 Mercedes-Benz SA introduced hybrid vehicles into their East London factory, pioneering high-voltage automotive manufacturing in the country. When the implementation decision was made, the factory was given less than a year to introduce this potentially dangerous new technology at a level that met stringent international safety and quality standards, against a backdrop of a lack of applicable local legislation. This study creates a framework whereby future high-voltage automotive projects can be introduced safely, effectively, and efficiently. The implementation framework for automotive technology (IFAT) was validated against the data of Mercedes-Benz’s C350e Plug-in Hybrid Project, and aims to support the local automotive industry in its preparations for e-mobility.
{"title":"IMPLEMENTATION FRAMEWORK FOR AUTOMOTIVE TECHNOLOGY: HOW TO INTRODUCE HYBRID AND ELECTRIC VEHICLES INTO AUTOMOTIVE PRODUCTION LINES","authors":"Liebrecht Otto, T. D. V. Schalkwyk, C. Schutte","doi":"10.7166/31-1-2282","DOIUrl":"https://doi.org/10.7166/31-1-2282","url":null,"abstract":"In 2016 Mercedes-Benz SA introduced hybrid vehicles into their East London factory, pioneering high-voltage automotive manufacturing in the country. When the implementation decision was made, the factory was given less than a year to introduce this potentially dangerous new technology at a level that met stringent international safety and quality standards, against a backdrop of a lack of applicable local legislation. This study creates a framework whereby future high-voltage automotive projects can be introduced safely, effectively, and efficiently. The implementation framework for automotive technology (IFAT) was validated against the data of Mercedes-Benz’s C350e Plug-in Hybrid Project, and aims to support the local automotive industry in its preparations for e-mobility.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":" ","pages":"110-121"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48641317","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}
Inclusive education aims to identify and minimise barriers to learning and maximise learner participation in the education system. With a focus on the use of information and communication technologies in the South African primary education system, this study aims 1) to create a framework with which to evaluate the current state of ICT uptake across core functions for a school; 2) to audit the current state of innovation uptake; 3) to use the audit outcomes to identify challenges to the uptake of ICTs; and 4) to identify measures for facilitating an improved uptake of these innovations. The researchers conclude that a need exists for government to ensure consistent ICT uptake and use throughout the education system through a better implementation of standards, policies, and processes that facilitate technology uptake.
{"title":"INNOVATION FOR INCLUSIVE DEVELOPMENT: MAPPING AND AUDITING THE USE OF ICTS IN THE SOUTH AFRICAN PRIMARY EDUCATION SYSTEM","authors":"P. Hove, S. Grobbelaar","doi":"10.7166/31-1-2119","DOIUrl":"https://doi.org/10.7166/31-1-2119","url":null,"abstract":"Inclusive education aims to identify and minimise barriers to learning and maximise learner participation in the education system. With a focus on the use of information and communication technologies in the South African primary education system, this study aims 1) to create a framework with which to evaluate the current state of ICT uptake across core functions for a school; 2) to audit the current state of innovation uptake; 3) to use the audit outcomes to identify challenges to the uptake of ICTs; and 4) to identify measures for facilitating an improved uptake of these innovations. The researchers conclude that a need exists for government to ensure consistent ICT uptake and use throughout the education system through a better implementation of standards, policies, and processes that facilitate technology uptake.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"47-64"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47675556","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 basic determining elements of healthcare services are the patient’s satisfaction with the service provided by hospitals, which includes behavioural and sentimental aspects and the quality and efficiency of the hospitals themselves. Patients are sometimes very confused, and so express their views very vaguely. These imprecise responses of patients add to the complexity of evaluating quality. The involvement of multiple criteria, uncertainty, and qualitative factors significantly complicates the evaluation of the quality of a healthcare service. Fuzzy logic is a method by which indistinct or hazy responses can be taken up for quality analysis, such as the prioritisation of hospitals, departments, dimensions, etc. A pilot study was carried out in this study comprising 18 private hospitals with more than 100 beds that were selected in the twin city of Bhubaneswar and Cuttack in the state of Odisha, India. Nine quality dimensions were also selected from those used in the literature. A questionnaire survey was conducted in different departments of the hospitals using the nine dimensions. Patients’ responses on a five-point Likert scale were first analysed statistically. Then ranking the dimensions and the hospitals was carried out using fuzzy analysis. The results could be used by healthcare service providers continually to improve their organisation.
{"title":"EVALUATING HEALTHCARE PERFORMANCE USING FUZZY LOGIC","authors":"M. S. Khan, M. A. Mansour, S. Khadar, Z. Mallick","doi":"10.7166/31-1-2150","DOIUrl":"https://doi.org/10.7166/31-1-2150","url":null,"abstract":"The basic determining elements of healthcare services are the patient’s satisfaction with the service provided by hospitals, which includes behavioural and sentimental aspects and the quality and efficiency of the hospitals themselves. Patients are sometimes very confused, and so express their views very vaguely. These imprecise responses of patients add to the complexity of evaluating quality. The involvement of multiple criteria, uncertainty, and qualitative factors significantly complicates the evaluation of the quality of a healthcare service. Fuzzy logic is a method by which indistinct or hazy responses can be taken up for quality analysis, such as the prioritisation of hospitals, departments, dimensions, etc. A pilot study was carried out in this study comprising 18 private hospitals with more than 100 beds that were selected in the twin city of Bhubaneswar and Cuttack in the state of Odisha, India. Nine quality dimensions were also selected from those used in the literature. A questionnaire survey was conducted in different departments of the hospitals using the nine dimensions. Patients’ responses on a five-point Likert scale were first analysed statistically. Then ranking the dimensions and the hospitals was carried out using fuzzy analysis. The results could be used by healthcare service providers continually to improve their organisation.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"133-143"},"PeriodicalIF":0.5,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41382455","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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