Pub Date : 2021-11-22DOI: 10.1080/10429247.2021.2000829
Bernardo Busto Parra, Pablo Pando Cerra, Pedro I. Álvarez Peñín
Abstract This study aims to identify the impact of a work methodology that combines ERP with the benefits of using lean philosophy. A sectored approach takes into account highly traditional manufacturing SMEs, such as metal fabrication, that are particularly vulnerable to new market trends. In addition, from these vulnerabilities new challenges have to be faced regarding the Industry 4.0 concept and the strategies toward their digital manufacturing workshop transformation, focusing not only on producing improved manufacturing processes but also on gaining added value. A case study was conducted on a Spanish company aiming at showing and analyzing its transformation model. The results showed greater management capacity and efficiency improvements in production-related processes.
{"title":"Combining ERP, Lean Philosophy and ICT: An Industry 4.0 Approach in an SME in the Manufacturing Sector in Spain","authors":"Bernardo Busto Parra, Pablo Pando Cerra, Pedro I. Álvarez Peñín","doi":"10.1080/10429247.2021.2000829","DOIUrl":"https://doi.org/10.1080/10429247.2021.2000829","url":null,"abstract":"Abstract This study aims to identify the impact of a work methodology that combines ERP with the benefits of using lean philosophy. A sectored approach takes into account highly traditional manufacturing SMEs, such as metal fabrication, that are particularly vulnerable to new market trends. In addition, from these vulnerabilities new challenges have to be faced regarding the Industry 4.0 concept and the strategies toward their digital manufacturing workshop transformation, focusing not only on producing improved manufacturing processes but also on gaining added value. A case study was conducted on a Spanish company aiming at showing and analyzing its transformation model. The results showed greater management capacity and efficiency improvements in production-related processes.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"655 - 670"},"PeriodicalIF":2.5,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49551406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1080/10429247.2021.1979866
Pimnapa Pongsayaporn, T. Chinda, V. Ammarapala
Abstract Thailand is the world’s leading agricultural products exporter. The transportation of agricultural products in Thailand relies mainly on roads because of its extensive network and convenience. However, with the limited capacity, traffic congestion, air pollution, and high fuel prices, this transportation mode becomes less effective. The government, then, attempts to develop and promote multimodal transportation, especially rail and water modes, to reduce the logistics costs and increase the transportation network efficiency. This study extracts five key factors influencing multimodal transportation efficiency of agricultural products in Thailand, namely Multimodal Transportation Infrastructure, Operation, Multimodal Service Provider, Market, and Road Constraints factors, as well as examines their interrelationships using the structural equation modeling method. The results show significant direct and indirect relationships among the five key multimodal transportation efficiency factors. It is found that with better multimodal transportation-related operations, multimodal transportation market is improved through less use of road transportation and more multimodal service providers in the market. Moreover, policymakers should focus on improving multimodal transportation-related infrastructures, such as container yards, access roads to train station and port, and transshipment equipment, in order to increase multimodal transportation efficiency and encourage the use of multimodal transportation. Engineering managers can use the study results in decision-making of transportation mode selection. Policymakers in government sector may apply the study results to establish effective policies to achieve a sustainable transportation system, which, in turn, gives rises to national industrial competitiveness on a global scale.
{"title":"Interrelationships Among Factors Influencing Multimodal Transportation Efficiency of Agricultural Products in Thailand","authors":"Pimnapa Pongsayaporn, T. Chinda, V. Ammarapala","doi":"10.1080/10429247.2021.1979866","DOIUrl":"https://doi.org/10.1080/10429247.2021.1979866","url":null,"abstract":"Abstract Thailand is the world’s leading agricultural products exporter. The transportation of agricultural products in Thailand relies mainly on roads because of its extensive network and convenience. However, with the limited capacity, traffic congestion, air pollution, and high fuel prices, this transportation mode becomes less effective. The government, then, attempts to develop and promote multimodal transportation, especially rail and water modes, to reduce the logistics costs and increase the transportation network efficiency. This study extracts five key factors influencing multimodal transportation efficiency of agricultural products in Thailand, namely Multimodal Transportation Infrastructure, Operation, Multimodal Service Provider, Market, and Road Constraints factors, as well as examines their interrelationships using the structural equation modeling method. The results show significant direct and indirect relationships among the five key multimodal transportation efficiency factors. It is found that with better multimodal transportation-related operations, multimodal transportation market is improved through less use of road transportation and more multimodal service providers in the market. Moreover, policymakers should focus on improving multimodal transportation-related infrastructures, such as container yards, access roads to train station and port, and transshipment equipment, in order to increase multimodal transportation efficiency and encourage the use of multimodal transportation. Engineering managers can use the study results in decision-making of transportation mode selection. Policymakers in government sector may apply the study results to establish effective policies to achieve a sustainable transportation system, which, in turn, gives rises to national industrial competitiveness on a global scale.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"620 - 637"},"PeriodicalIF":2.5,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59627692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-09DOI: 10.1080/10429247.2021.1946320
S. Keivanpour
Abstract Performance evaluation is an essential part of assessing the sustainability of the logistics systems and the implications of Industry 4.0 technologies. This research proposes an integrated sustainability evaluation framework for logistics providers using a fuzzy-based simulation model. A sustainability balanced scorecard approach is used in a hierarchical model based on multiple Mamdani Fuzzy Inference Systems (FIS). The sustainability of Internet of Things (IoT) adoption for a logistics provider was demonstrated using a hypothetical case study. A Design of Experiment approach is applied to evaluate the validity of the model. Moreover, different defuzzification methods are used to test the robustness of the fuzzy inference systems. The proposed method can aid operational managers in assessing the contribution of IoT to the sustainability of logistics systems considering inventory, warehouse, and order fulfillment aspects.
{"title":"Sustainability Balanced Scorecard Approach to Internet of Things Enabled Logistics Systems","authors":"S. Keivanpour","doi":"10.1080/10429247.2021.1946320","DOIUrl":"https://doi.org/10.1080/10429247.2021.1946320","url":null,"abstract":"Abstract Performance evaluation is an essential part of assessing the sustainability of the logistics systems and the implications of Industry 4.0 technologies. This research proposes an integrated sustainability evaluation framework for logistics providers using a fuzzy-based simulation model. A sustainability balanced scorecard approach is used in a hierarchical model based on multiple Mamdani Fuzzy Inference Systems (FIS). The sustainability of Internet of Things (IoT) adoption for a logistics provider was demonstrated using a hypothetical case study. A Design of Experiment approach is applied to evaluate the validity of the model. Moreover, different defuzzification methods are used to test the robustness of the fuzzy inference systems. The proposed method can aid operational managers in assessing the contribution of IoT to the sustainability of logistics systems considering inventory, warehouse, and order fulfillment aspects.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"450 - 474"},"PeriodicalIF":2.5,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45531752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This paper aims to provide an understanding of dynamic capabilities (DC) and critical factors (CF) responsible for the development of sustainability-oriented innovation (SOI), presenting an overview of the literature through descriptive analysis and identifying dynamic capabilities and critical factors for SOIs. For that, we develop a systematic literature review. Therefore, we propose a conceptual framework that shows that SOI’s development depends on DC (absorptive, environmental, competence, the ability for innovation, resource integration, organizational, networking, and technological) and fourteen CFs. We also identify paths for further studies regarding four main streams. The framework is a state of the art representation, and its structure would be useful to promote SOIs.
{"title":"Dynamic Capabilities and Critical Factors for Boosting Sustainability-Oriented Innovation: Systematic Literature Review and a Framework Proposal","authors":"Bruna Cavalcanti Barros Rodrigues, Cláudia Fabiana Gohr","doi":"10.1080/10429247.2021.1960124","DOIUrl":"https://doi.org/10.1080/10429247.2021.1960124","url":null,"abstract":"Abstract This paper aims to provide an understanding of dynamic capabilities (DC) and critical factors (CF) responsible for the development of sustainability-oriented innovation (SOI), presenting an overview of the literature through descriptive analysis and identifying dynamic capabilities and critical factors for SOIs. For that, we develop a systematic literature review. Therefore, we propose a conceptual framework that shows that SOI’s development depends on DC (absorptive, environmental, competence, the ability for innovation, resource integration, organizational, networking, and technological) and fourteen CFs. We also identify paths for further studies regarding four main streams. The framework is a state of the art representation, and its structure would be useful to promote SOIs.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"591 - 619"},"PeriodicalIF":2.5,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44062177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-13DOI: 10.1080/10429247.2021.1958631
M. Mora, Olayele Adelakun, Sergio Galvan-Cruz, Fen Wang
Abstract Plan-driven Project Management is a highly relevant approach for successful systems and software development projects, and its application is pursued uniformly. Agile Project Management practices, in contrast, are highly flexible and varied, and their learning and correct application has been found a challenging task. In other Engineering Management domains, IDEF0-based models have been satisfactorily used for documenting process guides, but their study in agile practices has been scarce. This paper investigates whether the IDEF0-based models for agile Project Management guides, as in Scrum and XP practices, can improve the usefulness, learning, and value metrics when compared to using standard guides. A quantitative experimental evaluation conducted with 58 international subjects and blocked on the variables of Practical Experience and Knowledge on Scrum/XP methods found that the IDEF0-based guides were evaluated with better metrics than the standard guides in 11 paired t-tests, and similarly in the remaining 16 ones. This study thus provides empirical evidence of positive impacts by using the IDEF0-based models for digital guides of agile practices and fosters their utilization and further research in the agile Engineering Management domain.
{"title":"Impacts of IDEF0-Based Models on the Usefulness, Learning, and Value Metrics of Scrum and XP Project Management Guides","authors":"M. Mora, Olayele Adelakun, Sergio Galvan-Cruz, Fen Wang","doi":"10.1080/10429247.2021.1958631","DOIUrl":"https://doi.org/10.1080/10429247.2021.1958631","url":null,"abstract":"Abstract Plan-driven Project Management is a highly relevant approach for successful systems and software development projects, and its application is pursued uniformly. Agile Project Management practices, in contrast, are highly flexible and varied, and their learning and correct application has been found a challenging task. In other Engineering Management domains, IDEF0-based models have been satisfactorily used for documenting process guides, but their study in agile practices has been scarce. This paper investigates whether the IDEF0-based models for agile Project Management guides, as in Scrum and XP practices, can improve the usefulness, learning, and value metrics when compared to using standard guides. A quantitative experimental evaluation conducted with 58 international subjects and blocked on the variables of Practical Experience and Knowledge on Scrum/XP methods found that the IDEF0-based guides were evaluated with better metrics than the standard guides in 11 paired t-tests, and similarly in the remaining 16 ones. This study thus provides empirical evidence of positive impacts by using the IDEF0-based models for digital guides of agile practices and fosters their utilization and further research in the agile Engineering Management domain.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"574 - 590"},"PeriodicalIF":2.5,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47581535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-12DOI: 10.1080/10429247.2021.1958630
Rafael Alencar de Paula, A. B. Mosbah, Y. Chinniah, S. Bassetto
Abstract The paper proposes a mathematical model to forecast the time needed during a continuous improvement (CI) project. To do this, the authors adapted the famous Lotka–Volterra model to the CI methodology. Also, the authors examined a Montreal company’s database to simulate the CI’s necessary time in the real world. Firstly, the model simulates a total of CI hours for the employees and the respective quantity of problems at the end of the project. And after, the authors compared the simulation results with the project real results. This work introduces a new model to forecast the CI’s necessary time and discuss an innovative way to implement a CI project. This work also considers the advantages and difficulties of achieving a CI project based on a simulation. One of the work’s main result is the discussion of the total CI hours performed by the employees: 130% of the simulation proposition. This quantity of hours leads to half of the problems estimated by the model: 42%. The normalized results showed a difference of 1.03% between the simulation and the observations in the real world.
{"title":"Towards a New Continuous Improvement Organization Based on Simulation","authors":"Rafael Alencar de Paula, A. B. Mosbah, Y. Chinniah, S. Bassetto","doi":"10.1080/10429247.2021.1958630","DOIUrl":"https://doi.org/10.1080/10429247.2021.1958630","url":null,"abstract":"Abstract The paper proposes a mathematical model to forecast the time needed during a continuous improvement (CI) project. To do this, the authors adapted the famous Lotka–Volterra model to the CI methodology. Also, the authors examined a Montreal company’s database to simulate the CI’s necessary time in the real world. Firstly, the model simulates a total of CI hours for the employees and the respective quantity of problems at the end of the project. And after, the authors compared the simulation results with the project real results. This work introduces a new model to forecast the CI’s necessary time and discuss an innovative way to implement a CI project. This work also considers the advantages and difficulties of achieving a CI project based on a simulation. One of the work’s main result is the discussion of the total CI hours performed by the employees: 130% of the simulation proposition. This quantity of hours leads to half of the problems estimated by the model: 42%. The normalized results showed a difference of 1.03% between the simulation and the observations in the real world.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"559 - 573"},"PeriodicalIF":2.5,"publicationDate":"2021-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47300305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-11DOI: 10.1080/10429247.2021.1943244
Abdulhakim Giadedi, T. Daim
Abstract Offshore oil projects are defined as mega projects that are associated with larger project size, higher complexities with inherent risks, and higher chances of failure in the investment and decision-making processes. These characteristics require significant assessment and acquisition methods in order to reduce failure. Financial analysis is the most widely used method to evaluate offshore oil projects; however, there are several other internal and external factors that affect the overall success of offshore oil projects. A comprehensive approach and advanced tools are required to evaluate factors that can have a significant impact before any investment decisions are made. This paper evaluates the important factors that influence offshore oil project investment decisions as well as score their weight of impact using a multi criteria decision model. A comprehensive literature review was conducted to recognize the complexities of these factors. Four perspectives were identified in order to assess the attributes that are necessary for successful offshore projects. These perspectives are economical, technical, political and environmental and safety. A hierarchical decision model (HDM), along with desirability curves, was implemented to evaluate offshore oil projects in order to improve investment decisions and reduce failure.
{"title":"A Scoring Model to Evaluate Offshore Oil Projects","authors":"Abdulhakim Giadedi, T. Daim","doi":"10.1080/10429247.2021.1943244","DOIUrl":"https://doi.org/10.1080/10429247.2021.1943244","url":null,"abstract":"Abstract Offshore oil projects are defined as mega projects that are associated with larger project size, higher complexities with inherent risks, and higher chances of failure in the investment and decision-making processes. These characteristics require significant assessment and acquisition methods in order to reduce failure. Financial analysis is the most widely used method to evaluate offshore oil projects; however, there are several other internal and external factors that affect the overall success of offshore oil projects. A comprehensive approach and advanced tools are required to evaluate factors that can have a significant impact before any investment decisions are made. This paper evaluates the important factors that influence offshore oil project investment decisions as well as score their weight of impact using a multi criteria decision model. A comprehensive literature review was conducted to recognize the complexities of these factors. Four perspectives were identified in order to assess the attributes that are necessary for successful offshore projects. These perspectives are economical, technical, political and environmental and safety. A hierarchical decision model (HDM), along with desirability curves, was implemented to evaluate offshore oil projects in order to improve investment decisions and reduce failure.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"436 - 449"},"PeriodicalIF":2.5,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47451363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-09DOI: 10.1080/10429247.2021.1952020
Mahipal Singh, R. Rathi
Abstract Lean Six Sigma (LSS) is an inclusive approach based on the concept of waste and variation reduction to achieve quality and sustainability. The successful adoption of any approach depends upon the awareness and readiness measures of a particular one. This paper contributes toward Micro-Small and Medium Enterprises (MSMEs) to adopt a comprehensive LSS approach in their existing system through the identification, analysis, and prioritization of LSS enablers and barriers. In the present study, 25 enablers and 21 barriers of LSS adoption are identified through literature review and are validated by using questionnaire-based survey. The screened enablers and barriers are further formulated into logical groups using factor analysis. These formulated groups are prioritized through Analytical Hierarchy Process (AHP) and compared the obtained results with the fuzzy decision-making trial and evaluation laboratory (Fuzzy-DEMATEL). The result reveals that among the main group of enablers, “management-based factor” is the top-ranked followed by “training- and education-based factor” and “technology-based factor” with AHP weights 0.4008, 0.2742, and 0.1465 respectively. On the other hand, among the main groups of barriers, “training and education based factor” is at first rank trailed by “management-based factor” with AHP weights 0.4780 and 0.2915 respectively. The outcomes of current research will facilitate the MSMEs to make a favorable environment toward the LSS approach for increasing productivity and profitability dynamics. An engineering manager can use this paper to enhance social sustainability through the incorporation of LSS approach in the communities where they work. Moreover, this study provides a guiding reference for practitioners and academicians to undertake similar nature of problems into other industrial sectors.
{"title":"Empirical Investigation of Lean Six Sigma Enablers and Barriers in Indian MSMEs by Using Multi-Criteria Decision Making Approach","authors":"Mahipal Singh, R. Rathi","doi":"10.1080/10429247.2021.1952020","DOIUrl":"https://doi.org/10.1080/10429247.2021.1952020","url":null,"abstract":"Abstract Lean Six Sigma (LSS) is an inclusive approach based on the concept of waste and variation reduction to achieve quality and sustainability. The successful adoption of any approach depends upon the awareness and readiness measures of a particular one. This paper contributes toward Micro-Small and Medium Enterprises (MSMEs) to adopt a comprehensive LSS approach in their existing system through the identification, analysis, and prioritization of LSS enablers and barriers. In the present study, 25 enablers and 21 barriers of LSS adoption are identified through literature review and are validated by using questionnaire-based survey. The screened enablers and barriers are further formulated into logical groups using factor analysis. These formulated groups are prioritized through Analytical Hierarchy Process (AHP) and compared the obtained results with the fuzzy decision-making trial and evaluation laboratory (Fuzzy-DEMATEL). The result reveals that among the main group of enablers, “management-based factor” is the top-ranked followed by “training- and education-based factor” and “technology-based factor” with AHP weights 0.4008, 0.2742, and 0.1465 respectively. On the other hand, among the main groups of barriers, “training and education based factor” is at first rank trailed by “management-based factor” with AHP weights 0.4780 and 0.2915 respectively. The outcomes of current research will facilitate the MSMEs to make a favorable environment toward the LSS approach for increasing productivity and profitability dynamics. An engineering manager can use this paper to enhance social sustainability through the incorporation of LSS approach in the communities where they work. Moreover, this study provides a guiding reference for practitioners and academicians to undertake similar nature of problems into other industrial sectors.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"475 - 496"},"PeriodicalIF":2.5,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44638599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1080/10429247.2021.1940044
José Francisco Tebaldi de Castro, H. G. Costa, Mirian Picinini Méxas, Cláudio Benevenuto de Campos Lima, Wagner Rodrigues Ribeiro
Abstract There is a gap in portfolio frameworks in regard to resource sharing between chosen projects. This article describes a model that aims to fill this gap, enabling resource sharing between processes related to a project and operation portfolio through weight allocation. The use of the Analytic Hierarchy Process (AHP) method signaled that project management is the most important process in resource sharing. According to a field survey, this process received the highest score in the attribution of weights. The prioritization obtained with the geometric mean of the consistent responses was the same as that obtained in all sensitivity analyses, which validated the chosen weight assignment. This study provides knowledge for engineering managers and technical engineers to allocate and share resources, in a neutral, objective and transparent environment. It also reinforces the importance of applying the AHP method in decisions, such as prioritizing tasks that will be performed by a single resource, or assigning weights in resource allocation.
{"title":"Weight Assignment for Resource Sharing in the Context of a Project and Operation Portfolio","authors":"José Francisco Tebaldi de Castro, H. G. Costa, Mirian Picinini Méxas, Cláudio Benevenuto de Campos Lima, Wagner Rodrigues Ribeiro","doi":"10.1080/10429247.2021.1940044","DOIUrl":"https://doi.org/10.1080/10429247.2021.1940044","url":null,"abstract":"Abstract There is a gap in portfolio frameworks in regard to resource sharing between chosen projects. This article describes a model that aims to fill this gap, enabling resource sharing between processes related to a project and operation portfolio through weight allocation. The use of the Analytic Hierarchy Process (AHP) method signaled that project management is the most important process in resource sharing. According to a field survey, this process received the highest score in the attribution of weights. The prioritization obtained with the geometric mean of the consistent responses was the same as that obtained in all sensitivity analyses, which validated the chosen weight assignment. This study provides knowledge for engineering managers and technical engineers to allocate and share resources, in a neutral, objective and transparent environment. It also reinforces the importance of applying the AHP method in decisions, such as prioritizing tasks that will be performed by a single resource, or assigning weights in resource allocation.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"406 - 419"},"PeriodicalIF":2.5,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10429247.2021.1940044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46087781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-28DOI: 10.1080/10429247.2021.1940043
Andrea Dobrosavljević, S. Urošević
Abstract The issue of employee turnover in apparel industry organizations is an essential element in influencing their overall business success. The constant shift of workers leads to oscillations in the quality of work output. This paper initially examines the effect of the level of employee satisfaction with business processes functioning on the occurrence of internal or external turnover intentions. Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods are applied with the purpose of the determination of the potential of corporate social responsibility (CSR) dimensions integration into the business processes of apparel industry organizations to reduce external turnover rates. Through the conducted research, conclusions about the potential success of the proposed measure of the integration of CSR dimensions in apparel industry organizations of different sizes are drawn, as well as practical implications for engineering managers within apparel industry.
{"title":"Research of the Influence of CSR Dimensions Integration in Business Processes on the Reduction of the Employee Turnover in Apparel Industry Organizations Using AHP and TOPSIS Methods","authors":"Andrea Dobrosavljević, S. Urošević","doi":"10.1080/10429247.2021.1940043","DOIUrl":"https://doi.org/10.1080/10429247.2021.1940043","url":null,"abstract":"Abstract The issue of employee turnover in apparel industry organizations is an essential element in influencing their overall business success. The constant shift of workers leads to oscillations in the quality of work output. This paper initially examines the effect of the level of employee satisfaction with business processes functioning on the occurrence of internal or external turnover intentions. Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods are applied with the purpose of the determination of the potential of corporate social responsibility (CSR) dimensions integration into the business processes of apparel industry organizations to reduce external turnover rates. Through the conducted research, conclusions about the potential success of the proposed measure of the integration of CSR dimensions in apparel industry organizations of different sizes are drawn, as well as practical implications for engineering managers within apparel industry.","PeriodicalId":54353,"journal":{"name":"Engineering Management Journal","volume":"34 1","pages":"394 - 405"},"PeriodicalIF":2.5,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10429247.2021.1940043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48721988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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