Pub Date : 2024-01-26DOI: 10.1109/EMR.2024.3357825
Derek H. T. Walker;Peter E. D. Love;Paul Vaz-Serra
Collaborative procurement methods, such as alliancing and its variants, are becoming increasingly popular in delivering large-scale transport infrastructure projects. The systematic design of the Project Alliance Agreement (PAA) provides the basis for stimulating collaborative behaviors to be enacted, which contributes to ensuring that best-for-project decision making and outcomes are delivered. However, despite the nascent adoption of alliancing, knowledge is absent on effectively delivering transport infrastructure projects on time and within budget. Thus, this article focuses on alliances and addresses the following question: How can alliances produce reliable target outturn costs (TOCs) for transport infrastructure projects? To answer this question, we draw on the experiences of senior executives involved in formulating a TOC (including the target adjustment event) in rail infrastructure projects. We find the PAA shapes and guides collaborative behaviors, enabling alliance team members to jointly consider the context and complexity of projects and, thus, develop realistic and reliable estimates of their TOC. The insights we obtained from the senior executives provide insights into the decision-making processes of alliances, enabling a better understanding of how large-scale rail infrastructure projects' cost and time performance can be improved.
{"title":"Formulating Reliable Target Outturn Costs in Transport Infrastructure Projects: Insights From Senior Executives","authors":"Derek H. T. Walker;Peter E. D. Love;Paul Vaz-Serra","doi":"10.1109/EMR.2024.3357825","DOIUrl":"https://doi.org/10.1109/EMR.2024.3357825","url":null,"abstract":"Collaborative procurement methods, such as alliancing and its variants, are becoming increasingly popular in delivering large-scale transport infrastructure projects. The systematic design of the Project Alliance Agreement (PAA) provides the basis for stimulating collaborative behaviors to be enacted, which contributes to ensuring that best-for-project decision making and outcomes are delivered. However, despite the nascent adoption of alliancing, knowledge is absent on effectively delivering transport infrastructure projects on time and within budget. Thus, this article focuses on alliances and addresses the following question: \u0000<italic>How can alliances produce reliable target outturn costs (TOCs) for transport infrastructure projects?</i>\u0000 To answer this question, we draw on the experiences of senior executives involved in formulating a TOC (including the target adjustment event) in rail infrastructure projects. We find the PAA shapes and guides collaborative behaviors, enabling alliance team members to jointly consider the context and complexity of projects and, thus, develop realistic and reliable estimates of their TOC. The insights we obtained from the senior executives provide insights into the decision-making processes of alliances, enabling a better understanding of how large-scale rail infrastructure projects' cost and time performance can be improved.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"103-115"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-26DOI: 10.1109/EMR.2024.3358104
Roberta Pellegrino
We adopt the supply chain (SC)-oriented perspective to investigate how operations and SC management decisions may help firms in dealing with two major challenges of SC finance, SC disruptions, and commodity price volatility (CPV). We develop a model that combines a novel problem setting to holistically investigate the effect of multiple sourcing under supply disruptions and price volatility. Such a combination is unique in the literature and captures some of the complexities of sourcing decisions in practice. Through a real case, we find that multiple sourcing may be robust to mitigate disruption and CPV risks, although it is paramount to assess the value of the strategy before its implementation. We provide a framework for decision makers aiding managers determining in which conditions multiple sourcing is best suited to mitigate risks and improve firm's cash flow and profitability. Our article makes an important contribution by shaping for the first time a model that can be used to theoretically understand the effectiveness of sourcing strategies in mitigating supply disruptions and CPV risks appearing simultaneously. It contributes to the industrial practice by providing a model supporting the decision making of firms in shaping their sourcing strategy.
{"title":"Supply Chain Finance: How Do Supply Chain Strategies Perform in Mitigating Supply Chain Disruption and Commodity Price Volatility Risks?","authors":"Roberta Pellegrino","doi":"10.1109/EMR.2024.3358104","DOIUrl":"https://doi.org/10.1109/EMR.2024.3358104","url":null,"abstract":"We adopt the supply chain (SC)-oriented perspective to investigate how operations and SC management decisions may help firms in dealing with two major challenges of SC finance, SC disruptions, and commodity price volatility (CPV). We develop a model that combines a novel problem setting to holistically investigate the effect of multiple sourcing under supply disruptions and price volatility. Such a combination is unique in the literature and captures some of the complexities of sourcing decisions in practice. Through a real case, we find that multiple sourcing may be robust to mitigate disruption and CPV risks, although it is paramount to assess the value of the strategy before its implementation. We provide a framework for decision makers aiding managers determining in which conditions multiple sourcing is best suited to mitigate risks and improve firm's cash flow and profitability. Our article makes an important contribution by shaping for the first time a model that can be used to theoretically understand the effectiveness of sourcing strategies in mitigating supply disruptions and CPV risks appearing simultaneously. It contributes to the industrial practice by providing a model supporting the decision making of firms in shaping their sourcing strategy.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"116-133"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Logistics’ companies played a vital role in the supply and distribution of products in a timely and effective manner during the COVID-19 pandemic. The research sought to know how financial authorities in these companies managed the financial process and how they approached resolving issues due to the economic and financial problems experienced during the COVID-19 pandemic. Using data from 30 experts from the accounting-finance departments of logistics’ companies, we found that the COVID-19 pandemic caused a decrease in revenues of the logistics’ companies in Turkey and increased demands for loan payments before their maturity date. According to this study, the most important factors affecting logistics’ companies during this health crisis were unpredictable changes in exchange rates, currency depreciation (Turkish lira), and increased rental fees. Through this research, we learned how the economic and financial problems experienced by logistics’ companies were managed by financial experts during the COVID-19 pandemic.
{"title":"Economic Impacts and Financial Strategies of Turkish Logistics’ Companies During the COVID-19 Crisis","authors":"Asghar Afshar Jahanshahi;Fatma Sonmez Cakir;Ozan Kalaycioglu;Zafer Adiguzel","doi":"10.1109/EMR.2024.3354877","DOIUrl":"https://doi.org/10.1109/EMR.2024.3354877","url":null,"abstract":"Logistics’ companies played a vital role in the supply and distribution of products in a timely and effective manner during the COVID-19 pandemic. The research sought to know how financial authorities in these companies managed the financial process and how they approached resolving issues due to the economic and financial problems experienced during the COVID-19 pandemic. Using data from 30 experts from the accounting-finance departments of logistics’ companies, we found that the COVID-19 pandemic caused a decrease in revenues of the logistics’ companies in Turkey and increased demands for loan payments before their maturity date. According to this study, the most important factors affecting logistics’ companies during this health crisis were unpredictable changes in exchange rates, currency depreciation (Turkish lira), and increased rental fees. Through this research, we learned how the economic and financial problems experienced by logistics’ companies were managed by financial experts during the COVID-19 pandemic.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"69-83"},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-12DOI: 10.1109/EMR.2024.3353338
Jan Joosten;Volker Bilgram;Alexander Hahn;Dirk Totzek
Traditionally, ideating new product innovations is primarily the responsibility of marketers, engineers, and designers. However, a rapidly growing interest lies in leveraging generative artificial intelligence (AI) to brainstorm new product and service ideas. This study conducts a comparative analysis of ideas generated by human professionals and an AI system. The results of a blind expert evaluation show that AI-generated ideas score significantly higher in novelty and customer benefit, while their feasibility scores are similar to those of human ideas. Overall, AI-generated ideas comprise the majority of the top-performing ideas, while human-generated ideas scored lower than expected. The executive's emotional and cognitive reactions were measured during the evaluation to check for potential biases and showed no differences between the idea groups. These findings suggest that, under certain circumstances, companies can benefit from integrating generative AI into their traditional idea-generation processes.
{"title":"Comparing the Ideation Quality of Humans With Generative Artificial Intelligence","authors":"Jan Joosten;Volker Bilgram;Alexander Hahn;Dirk Totzek","doi":"10.1109/EMR.2024.3353338","DOIUrl":"https://doi.org/10.1109/EMR.2024.3353338","url":null,"abstract":"Traditionally, ideating new product innovations is primarily the responsibility of marketers, engineers, and designers. However, a rapidly growing interest lies in leveraging generative artificial intelligence (AI) to brainstorm new product and service ideas. This study conducts a comparative analysis of ideas generated by human professionals and an AI system. The results of a blind expert evaluation show that AI-generated ideas score significantly higher in novelty and customer benefit, while their feasibility scores are similar to those of human ideas. Overall, AI-generated ideas comprise the majority of the top-performing ideas, while human-generated ideas scored lower than expected. The executive's emotional and cognitive reactions were measured during the evaluation to check for potential biases and showed no differences between the idea groups. These findings suggest that, under certain circumstances, companies can benefit from integrating generative AI into their traditional idea-generation processes.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"153-164"},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10398283","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-12DOI: 10.1109/EMR.2024.3353618
Philipp Moessner;Raphael Haegle;Larissa Eiler;Kevin Kloepfer
Many product innovations fail to gain customer acceptance, and the reasons for this can vary. Various instruments, including product roadmaps, market segmentation, requirements engineering, and tender and performance specifications, are typically used to reduce the risk of failure in product development. These methods aim to incorporate and translate various customer requirements into product features. However, the measure of success can often only be observed after the market launch. Until then, a product innovation requires a high expenditure of time and money, which cannot be amortized in case of failure. Therefore, this article presents a methodology for assessing the market potential of product innovations based on the jobs-to-be-done theory. The methodology focuses on evaluating initial existing product concepts to minimize the possibility of product failures and identify them early. For this purpose, it comprises three phases. The first phase focuses on identifying market segments based on jobs and circumstances. In the second phase, stakeholder needs and market potential are linked. In the third phase, the results of phase two are analyzed and elaborated in a 2 × 2 matrix. The methodology was applied in the context of an actual use case of a spraying equipment manufacturer.
{"title":"Evaluate Market Potential of an Initial Product Concept With Jobs-to-Be-Done","authors":"Philipp Moessner;Raphael Haegle;Larissa Eiler;Kevin Kloepfer","doi":"10.1109/EMR.2024.3353618","DOIUrl":"https://doi.org/10.1109/EMR.2024.3353618","url":null,"abstract":"Many product innovations fail to gain customer acceptance, and the reasons for this can vary. Various instruments, including product roadmaps, market segmentation, requirements engineering, and tender and performance specifications, are typically used to reduce the risk of failure in product development. These methods aim to incorporate and translate various customer requirements into product features. However, the measure of success can often only be observed after the market launch. Until then, a product innovation requires a high expenditure of time and money, which cannot be amortized in case of failure. Therefore, this article presents a methodology for assessing the market potential of product innovations based on the jobs-to-be-done theory. The methodology focuses on evaluating initial existing product concepts to minimize the possibility of product failures and identify them early. For this purpose, it comprises three phases. The first phase focuses on identifying market segments based on jobs and circumstances. In the second phase, stakeholder needs and market potential are linked. In the third phase, the results of phase two are analyzed and elaborated in a 2 × 2 matrix. The methodology was applied in the context of an actual use case of a spraying equipment manufacturer.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"165-173"},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-04DOI: 10.1109/EMR.2024.3349629
Elias Ribeiro da Silva;Jannis Angelis
While there is increasing popularity and interest in blockchain use, the focus is largely on the technology itself and its potential benefits. However, successful exploitation of the technology requires an appropriate business ecosystem in which the technology is applied. Understanding this and the role actors have within it is essential for blockchain use to be successful. The different companies in its ecosystem are treated as homogenous, while in reality, they often have very different roles in the system and operate under different conditions. In this article, we identify four groups within a business ecosystem based on their level of dominance and transparency. These two categories play a key role in defining an appropriate blockchain strategy, showing that while some actors directly benefit from blockchain use, others will only do so by adjusting their offerings. We provide practitioners with a method for assessing a suitable blockchain strategy based on their role within their business ecosystems. We also highlight issues around data ownership, initial technology investment, and the interaction with new entrants. For academics, we critically identify and assess the characteristics of business ecosystem groups and the related implications of blockchain adoption.
{"title":"Finding Blockchain Value: A Business Ecosystem Approach","authors":"Elias Ribeiro da Silva;Jannis Angelis","doi":"10.1109/EMR.2024.3349629","DOIUrl":"https://doi.org/10.1109/EMR.2024.3349629","url":null,"abstract":"While there is increasing popularity and interest in blockchain use, the focus is largely on the technology itself and its potential benefits. However, successful exploitation of the technology requires an appropriate business ecosystem in which the technology is applied. Understanding this and the role actors have within it is essential for blockchain use to be successful. The different companies in its ecosystem are treated as homogenous, while in reality, they often have very different roles in the system and operate under different conditions. In this article, we identify four groups within a business ecosystem based on their level of dominance and transparency. These two categories play a key role in defining an appropriate blockchain strategy, showing that while some actors directly benefit from blockchain use, others will only do so by adjusting their offerings. We provide practitioners with a method for assessing a suitable blockchain strategy based on their role within their business ecosystems. We also highlight issues around data ownership, initial technology investment, and the interaction with new entrants. For academics, we critically identify and assess the characteristics of business ecosystem groups and the related implications of blockchain adoption.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"146-152"},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Covid-19 pandemic prompted insurance companies to shift from their traditional operating mode to a digital one. This shift is to promote improved performance, cost reduction, and enhanced customer service. Blockchain is to aid the insurance industry radically transform its operations by enabling faster exchange of verifiable data, visibility for all parties, and transactions underpinned by pervasive security and trust. It permits the replacement of third parties so as to benefit from timestamping services, storage of evidence, and the history of actions taken to verify the identity of the original issuer and any cosigners of a document. In this article, we propose a solution for insurance service providers based on a private blockchain for E-insurance service providers–customers corresponding to a community network. The objective of this article is to support the actors involved in this decision-making process by illustrating what a blockchain is, by analyzing its advantages and disadvantages, as well as by discussing the use cases drawn from the sector of insurance, which could easily be extended to another domain. Besides, we present our architecture proposal to make all types of insurance smart contracts based on business process management and blockchain.
{"title":"A Smart Contract Architecture Framework for Insurance Industry Using Blockchain and Business Process Management Technology","authors":"Abdelhadi Rachad;Lotfi Gaiz;Khalid Bouragba;Mohammed Ouzzif","doi":"10.1109/EMR.2023.3348431","DOIUrl":"https://doi.org/10.1109/EMR.2023.3348431","url":null,"abstract":"The Covid-19 pandemic prompted insurance companies to shift from their traditional operating mode to a digital one. This shift is to promote improved performance, cost reduction, and enhanced customer service. Blockchain is to aid the insurance industry radically transform its operations by enabling faster exchange of verifiable data, visibility for all parties, and transactions underpinned by pervasive security and trust. It permits the replacement of third parties so as to benefit from timestamping services, storage of evidence, and the history of actions taken to verify the identity of the original issuer and any cosigners of a document. In this article, we propose a solution for insurance service providers based on a private blockchain for E-insurance service providers–customers corresponding to a community network. The objective of this article is to support the actors involved in this decision-making process by illustrating what a blockchain is, by analyzing its advantages and disadvantages, as well as by discussing the use cases drawn from the sector of insurance, which could easily be extended to another domain. Besides, we present our architecture proposal to make all types of insurance smart contracts based on business process management and blockchain.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"55-68"},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-29DOI: 10.1109/EMR.2023.3347147
Tianye Wang;Jonathan Deason;Ekundayo Shittu
While extant research explores the impact of electric vehicle (EV) incentives on EV market shares, less is known about how such policies and other socioeconomic factors interact that ultimately affect the goal of transportation emission reductions. The study summarized herein employed a sample of 510 state-year CO $_{2}$ emissions datasets in the transportation sector spanning a decade (2010–2019) in a multiple linear regression model. Going beyond earlier studies, we find that, while a higher number of EV incentives would significantly contribute to transportation emission reductions, this effect could be dampened by population growth. In addition, we find that, while higher electricity prices may weaken the effectiveness of EV incentives, a high count of EV incentives is more effective in reducing CO $_{2}$ emissions than a low count of EV incentives when the electricity price is low. This finding implies that having multiple EV incentives can be effective in reducing transportation carbon emissions even in the face of rising prices of electricity. The study also examines the effectiveness of promoting the density of charging stations and alternative fuel incentives in advancing carbon emission reductions.
{"title":"The Interplay of Incentives, Electricity Price, and Demand on Transport Decarbonization: The Case of Electric Vehicles in the U.S.","authors":"Tianye Wang;Jonathan Deason;Ekundayo Shittu","doi":"10.1109/EMR.2023.3347147","DOIUrl":"https://doi.org/10.1109/EMR.2023.3347147","url":null,"abstract":"While extant research explores the impact of electric vehicle (EV) incentives on EV market shares, less is known about how such policies and other socioeconomic factors interact that ultimately affect the goal of transportation emission reductions. The study summarized herein employed a sample of 510 state-year CO\u0000<inline-formula><tex-math>$_{2}$</tex-math></inline-formula>\u0000 emissions datasets in the transportation sector spanning a decade (2010–2019) in a multiple linear regression model. Going beyond earlier studies, we find that, while a higher number of EV incentives would significantly contribute to transportation emission reductions, this effect could be dampened by population growth. In addition, we find that, while higher electricity prices may weaken the effectiveness of EV incentives, a high count of EV incentives is more effective in reducing CO\u0000<inline-formula><tex-math>$_{2}$</tex-math></inline-formula>\u0000 emissions than a low count of EV incentives when the electricity price is low. This finding implies that having multiple EV incentives can be effective in reducing transportation carbon emissions even in the face of rising prices of electricity. The study also examines the effectiveness of promoting the density of charging stations and alternative fuel incentives in advancing carbon emission reductions.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"38-54"},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-27DOI: 10.1109/EMR.2023.3347482
Panagiota Galetsi;Korina Katsaliaki;Sameer Kumar
A contribution to mitigate the disastrous effects of the Covid-19 pandemic has been exemplified by the development of innovative product and service applications with the use of digital technologies, such as artificial intelligence, machine learning, and big data analytics. In this discussion article, we examine nine major application categories, namely, diagnostic mechanisms; contact-tracing apps; hospitalization/mortality prediction models; drug repurposing models; new vaccine models; business prediction models/robotic service apps; learning and teleconferencing systems; chatbots; and smart cities apps for environmental impact. Their analysis shows the potential long-term impact and challenges in relation to the global markets and social environment.
{"title":"Market Opportunities for Innovative Digital Applications in the Post-Covid-19 Period","authors":"Panagiota Galetsi;Korina Katsaliaki;Sameer Kumar","doi":"10.1109/EMR.2023.3347482","DOIUrl":"https://doi.org/10.1109/EMR.2023.3347482","url":null,"abstract":"A contribution to mitigate the disastrous effects of the Covid-19 pandemic has been exemplified by the development of innovative product and service applications with the use of digital technologies, such as artificial intelligence, machine learning, and big data analytics. In this discussion article, we examine nine major application categories, namely, diagnostic mechanisms; contact-tracing apps; hospitalization/mortality prediction models; drug repurposing models; new vaccine models; business prediction models/robotic service apps; learning and teleconferencing systems; chatbots; and smart cities apps for environmental impact. Their analysis shows the potential long-term impact and challenges in relation to the global markets and social environment.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"134-145"},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-22DOI: 10.1109/EMR.2023.3346036
Katriina Korpinen;Tommi J. Kärkkäinen;Pertti Silventoinen
Frequency converters can cause expensive downtime in industrial applications when they fail. How reliability appears in the field and how the workers find the situation has, however, remained obscure. Maintenance and cultural issues affecting the reliability of frequency converters have not been reported in the scientific literature either. In this work, a survey was conducted to gather data about the conceptions and views of maintenance professionals and production facility management in different kinds of factories in Finland. The data related to the failures, reliability, and life cycle management of frequency converters were gathered from three organizational levels. The aim was to reveal any significant differences in the conceptions between people at different organizational levels. The frequency and adverse impacts of failures and the prevalence of life cycle management systems were also of interest. The data were analyzed using statistical and numerical methods. According to all respondents, frequency converter failures happen regularly, and failures cause a variety of adverse impacts. The analysis showed that the organizational levels had disparate conceptions about issues related to frequency converter reliability and maintenance. Better communication between the organizational levels could promote mutual understanding.
{"title":"When Views Do Not Match: Different Insights of Management and Staff Into Frequency Converter Reliability and Maintenance","authors":"Katriina Korpinen;Tommi J. Kärkkäinen;Pertti Silventoinen","doi":"10.1109/EMR.2023.3346036","DOIUrl":"https://doi.org/10.1109/EMR.2023.3346036","url":null,"abstract":"Frequency converters can cause expensive downtime in industrial applications when they fail. How reliability appears in the field and how the workers find the situation has, however, remained obscure. Maintenance and cultural issues affecting the reliability of frequency converters have not been reported in the scientific literature either. In this work, a survey was conducted to gather data about the conceptions and views of maintenance professionals and production facility management in different kinds of factories in Finland. The data related to the failures, reliability, and life cycle management of frequency converters were gathered from three organizational levels. The aim was to reveal any significant differences in the conceptions between people at different organizational levels. The frequency and adverse impacts of failures and the prevalence of life cycle management systems were also of interest. The data were analyzed using statistical and numerical methods. According to all respondents, frequency converter failures happen regularly, and failures cause a variety of adverse impacts. The analysis showed that the organizational levels had disparate conceptions about issues related to frequency converter reliability and maintenance. Better communication between the organizational levels could promote mutual understanding.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":"52 2","pages":"20-37"},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10371385","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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