{"title":"Analysis of barriers to the adoption of circular supply chain management: a case study in the air conditioning industry","authors":"Sinan Çıkmak, Buşra Kesici","doi":"10.1080/21681015.2023.2194302","DOIUrl":"https://doi.org/10.1080/21681015.2023.2194302","url":null,"abstract":"ABSTRACT Circular supply chain management (CSCM) is a process used to design the supply chain by recycling, remanufacturing or refurbishing, repairing, and reusing products However, no study has been encountered in the literature that analyzes CSCM barriers in the air conditioning sector. Hence, this study is aimed to investigate the barriers to CSCM adoption in the air conditioning industry. A case study was conducted on a company operating in the global air conditioning sector. Initially, literature review and expert opinions have been used to identify essential barriers. Later, 6 main barriers and 21 sub-barriers were ranked using Analytical Hierarchy Process (AHP) method based on the interval type-2 fuzzy sets. The findings indicate that “Regulatory” is the most crucial, and “Operational” is the least important main barrier. The findings of the study would be useful for practitioners and policymakers to focus on the most prominent barriers in the air conditioning supply chains. GRAPHICAL ABSTRACT","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60445155","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}
{"title":"Exploring moderating effects of industry 4.0 adoption on sustainable performance of Malaysian manufacturing organizations","authors":"Maria Ijaz Baig, E. Yadegaridehkordi","doi":"10.1080/21681015.2023.2190766","DOIUrl":"https://doi.org/10.1080/21681015.2023.2190766","url":null,"abstract":"ABSTRACT Industry 4.0 adoption helps businesses to achieve sustainable operations. This study aims to identify the drivers of firms’ sustainable performance and explore the moderating role of industry 4.0 adoption on financial, environmental, and social sustainable performance. The triple bottom line, resource-based view, and stakeholder theory were used as the foundational theories and data was collected from 269 Malaysian manufacturing three organizations. The results showed significant effects of stakeholder pressure, organization capabilities, green marketing, and green entrepreneurial orientation on organizational sustainable performance. Meanwhile, the direct impacts of organizational sustainable performance on financial, environmental, and social aspects were supported. Industry 4.0 adoption showed remarkable moderating effects on financial and environmental aspects of sustainable performance. The study provides manufacturers with significant insights into how they need to respond to sustainable development in effective ways. The findings can assist managers and policymakers in setting strategic plans to achieve sustainable performance through industry 4.0 adoption. GRAPHICAL ABSTRACT","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48888565","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}
{"title":"A hybrid metaheuristic algorithm to achieve sustainable production: involving employee characteristics in the job-shop matching problem","authors":"Bingtao Quan, Sujian Li, Kuo-Jui Wu","doi":"10.1080/21681015.2023.2184426","DOIUrl":"https://doi.org/10.1080/21681015.2023.2184426","url":null,"abstract":"ABSTRACT Sustainable production is proposed to guide manufacturers in achieving sustainable development goals. Although previous studies have developed diverse metaheuristics algorithms in finding the optimal method for balancing economic and environmental aspects, the social aspect is still omitted. In addressing this shortcoming, this study attempts to design a hybrid metaheuristic algorithm to balance economic performance with social expectations by matching the employees’ characteristics with those of a job shop. This study contributes to (1) confirming the importance of considering the social aspect for strengthening the theoretical basis; (2) proposing a hybrid metaheuristic algorithm in matching employees’ characteristics with the job shop; and (3) utilizing the optimal scenario leads the related firms in practicing sustainable production. The findings indicate that matching the employee-job-shop can fulfill the social expectation for generating positive effects on economic performance. If manufacturers insist on lowering labor costs, it may have a negative impact on production efficiency. Graphical Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46392448","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}
{"title":"A genetic-simulated annealing algorithm for stochastic seru scheduling problem with deterioration and learning effect","authors":"Zhe Zhang, Ling Shen, Xue Gong, X. Zhong, Yong Yin","doi":"10.1080/21681015.2023.2167875","DOIUrl":"https://doi.org/10.1080/21681015.2023.2167875","url":null,"abstract":"ABSTRACT As a flexible and effective production mode, seru production has been adopted successfully in electronic industry. In practice, the processing time may be affected by many stochastic factors, such as worker absence, shortage of resources, and so on. This paper focuses on seru scheduling problems with stochastic processing time, and considers the influence of dynamic resource allocation, job deterioration, learning effecteffect, and setup time simultaneously to minimize the makespan. A genetic-simulated annealing algorithm is proposed, in which a simulated annealing procedure is constructed to re-optimize the optimal individual obtained by geneticthe genetic algorithm. Experiment results validate the effectiveness of proposedthe proposed seru scheduling model and genetic-simulated annealing algorithm for solving large-scale cases, and indicate that the stochastic processing time has a great influence on the makespan whichmakespan that can help production manager to makeproduce more consistent results according to the actual situation. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43673029","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}
Davide Basile, Idiano D’Adamo, V. Goretti, P. Rosa
{"title":"Digitalizing Circular Economy through Blockchains: The Blockchain Circular Economy Index","authors":"Davide Basile, Idiano D’Adamo, V. Goretti, P. Rosa","doi":"10.1080/21681015.2023.2173317","DOIUrl":"https://doi.org/10.1080/21681015.2023.2173317","url":null,"abstract":"ABSTRACT The integration of circular economy (CE) models into everyday contexts generates huge amount of data involved in goods tracking and tokenization procedures. The sector of blockchain platforms is extremely varied, and the choice of the proper technology is not easy. It is important that the selection is conducted consistently with respect to the CE models. With this study, we present a performance index named Blockchain Circular Economy Index (BCEI). BCEI, obtained through Multicriteria Decision Analysis and Analytic Hierarchy Process, aims to measure the suitability of blockchain platforms to the needs highlighted by a CE scenario. The present study is contextualized by comparing six blockchain platforms, for each of which, the related BCEI is calculated. The results of the analysis show that transaction fee and energy consumption are the two most critical parameters. In addition, the results show the lack of a leading blockchain technology in CE models. Thus, there is a market space that can be exploited given the growing interest in digital and sustainable issues. Graphical abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43413224","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}
{"title":"The role of digital transformation in improving collaborative planning to address unexpected crisis","authors":"Yu-Chung Tsao, Chien-Wei Ho, Chi-chuan Wu","doi":"10.1080/21681015.2023.2170481","DOIUrl":"https://doi.org/10.1080/21681015.2023.2170481","url":null,"abstract":"ABSTRACT Unexpected crises such as the COVID-19 pandemic considerably influence business operations and supply chains worldwide. Therefore, many companies have adopted digitalization to address the rapidly changing environment. However, few studies have explored the mediating mechanism between digitalization and collaborative planning. Based on structural equation modeling, this study examines how digital transformation can improve collaborative planning through the mediating roles of management participation and information sharing. The results indicate that digital transformation significantly affects management and information sharing. Additionally, management participation and information sharing positively affect collaborative planning. However, this study reveals that digital transformation does not directly influence collaborative planning. Overall, owing to a lack of research exploring the mediating mechanism between digital transformation and collaborative planning, this study contributes to digitalization and manufacturing and provides valuable suggestions. Fundamentally, companies that want to develop digitalization and encourage collaborative planning should consider the effects of management participation and information sharing.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49207215","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}
Chih-Cheng Chen, Faza Muhammad Sukarsono, Kuo-Jui Wu
{"title":"Evaluating a sustainable circular economy model for the Indonesian fashion industry under uncertainties: a hybrid decision-making approach","authors":"Chih-Cheng Chen, Faza Muhammad Sukarsono, Kuo-Jui Wu","doi":"10.1080/21681015.2022.2162616","DOIUrl":"https://doi.org/10.1080/21681015.2022.2162616","url":null,"abstract":"ABSTRACT There is a large increase in the wastes and emissions from the Indonesian fashion industry under economic and population growth. To address this issue, the sustainable circular economy is proposed to reach the goal of sustainable development and zero waste. Previous studies neglect to provide a specific interrelationship model to guide practice to reach a sustainable circular economy. This study proposes a hybrid method integrating exploratory factor analysis, the fuzzy synthetic method and the decision-making trial and evaluation laboratory approach to overcome these shortcomings. It contributes to enhancing the understanding of theory through visual diagrams. The hybrid method makes it possible to interpret complex interrelationships and leads to improvements under resource limitations based on the model. The results reveal that emission reduction and welfare improvement are the causal aspects. Graphic Abstract","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45640855","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}
M. Bojanić Šejat, M. Rackov, I. Knežević, A. Živković
{"title":"MODAL ANALYSIS OF BALL BEARINGS USING FINITE ELEMENT METHOD","authors":"M. Bojanić Šejat, M. Rackov, I. Knežević, A. Živković","doi":"10.24867/jpe-2022-02-020","DOIUrl":"https://doi.org/10.24867/jpe-2022-02-020","url":null,"abstract":"Dynamic behavior of roller bearings under the loads can be described by a mathematical model. The dynamic bearing model is modeled using the finite element method. Analysis of the dynamic behavior of the radial bearing refers to the modal analysis, ie. the determination of the natural frequencies, the main forms of oscillation and damping for the considered bearing, with different values of the clearance. This analysis is based on the simultaneous analysis of excitation and response signals in the time domain or more often in the frequency domain. In addition to FEM, it was also performed the experimental test on a FKL 6006 bearing with different clearance values. Within this paper, a comparison of the results of the modal analysis performed experimentally with the results obtained by the finite element method was performed. The compared results show a satisfactory deviation.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90226172","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}
Z. Lanc, M. Zeljković, M. Hadzistevic, B. Strbac, Danka Labus Zlatanović, S. Baloš
{"title":"EMISSIVITY OF METAL SURFACE COATINGS","authors":"Z. Lanc, M. Zeljković, M. Hadzistevic, B. Strbac, Danka Labus Zlatanović, S. Baloš","doi":"10.24867/jpe-2022-02-025","DOIUrl":"https://doi.org/10.24867/jpe-2022-02-025","url":null,"abstract":"As it is known, emissivity is paramount for accurate temperature measurement using IR thermography. The emissivity of metals is particularly interesting due to its variability in relation to surface conditions (surface roughness and oxidation state), viewing angle, temperature, and wavelength. In the frame of this paper, knowledge regarding metal surface coatings and its effect on emissivity has been gained in an effort to improve risk assessment of workplace burns arising from hot metal surfaces. The present study examined the emissivity of two-component polyurethane metal covering coat on steel and grey cast iron depending on temperature and coating thickness. It was concluded that metal coating leads to moderated metal heating and increases constancy of emissivity compared to uncoated metal surfaces.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82303479","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}
Miloš Kuzmanović, Milana Ilić Mićunović, I. Budak, T. Puskar, D. Vukelić, Daniela Djurović Koprivica
{"title":"SAMPLING OF MICRO AND NANO PARTICLES FROM AEROSOLS GENERATED DURING DENTAL INTERVENTIONS","authors":"Miloš Kuzmanović, Milana Ilić Mićunović, I. Budak, T. Puskar, D. Vukelić, Daniela Djurović Koprivica","doi":"10.24867/jpe-2022-02-035","DOIUrl":"https://doi.org/10.24867/jpe-2022-02-035","url":null,"abstract":"Dentists and dental team members are exposed to an increased risk of large amounts of aerosols in the working atmosphere during clinical dental procedures. The analysis of the part of the aerosol that includes the finest particles of micro and nano dimensions is a starting point for understanding the relationship between exposure to aerosols and negative effects on the health of dentists. The paper presents the methodology and experimental realization of clinical sampling of micro and nano particles, from the aerosol generated during dental interventions, using a personal sampler.","PeriodicalId":16024,"journal":{"name":"Journal of Industrial and Production Engineering","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76526026","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}