Melike Nur Ince, Emrecan Arpaci, Cagatay Tasdemir
et al.
Fiercer competition across all industries has made identifying and eliminating lean wastes to enhance sustainability performance an effective route that many companies take. This study focuses on the production process of wood park/garden benches at a company that manufactures outdoor wood furniture. The goal was to identify lean wastes within a sustainability framework across seven operations and integrate multi-criteria decision making (MCDM) methodologies for waste elimination. Eleven lean KPIs addressing economic and environmental sustainability were used to develop and prioritize 13 lean failure modes (LFMs) with Risk Priority Numbers (RPNs) above 100, leading to lean project proposals for each LFM. Eighteen lean tools were ranked using the Fuzzy Quality Function Deployment (Fuzzy QFD) method. A total of eight improvement propositions, namely, Kaizen and continuous improvement, upgrade machinery for energy efficiency, Just-In-Time (JIT), optimize production processes with lean methodologies, implement cost reduction strategies, Total Productive Maintenance (TPM), Investing in Automation, and Andon were implemented. Significant improvements were observed post-implementation: total lead time was reduced by approximately 38.46%, value-added time by 22.05%, and non-value-added time by 47.64%. The required number of workers decreased by 14.29%, and the total inventory decreased by approximately 57.31%. The results contribute to sustainability goals by reducing energy consumption and waste while increasing economic efficiency. It also provides a robust framework for decision making in fuzzy environments, guiding practitioners and academics in lean management and sustainability.
Blasting is the most dangerous and labour-intensive production process in open pit mines, and it is also the most important part of open pit mining. The rough expansion of production scale makes the traditional manual inspection in the blasting process face great challenges. The traditional manual inspection mode not only faces problems such as overly large positioning of blast holes (greater than 27.4%), low efficiency of filling quality monitoring, and poor detection rate of qualified blasting block size (60% - 72%) in the blasting process, but also encounters problems such as the opacity of three-dimensional geological information in the blasting area, low efficiency of equipment collaborative control and management, and tensile damage to the step structure surface caused by frequent blasting operations, and derivative risks such as the difficulty in early warning of potential safety hazards like fires and landslides. Facing the development of new business forms of low-altitude economy and the intelligent transformation requirements of open-pit coal mines, the technological research and development of a collaborative dynamic supervision system based on unmanned aerial vehicle (UAV) assistance was proposed, and a real-time interlinked control framework of “air-ground-terminal-environment” was studied and constructed: relying on multi-rotor unmanned aerial vehicles in the air, equipped with high-resolution multispectral cameras, infrared thermal imagers, gas monitoring devices, etc., high-precision three-dimensional real-scene modeling of the blasting surfaces of 170 blast holes can be efficiently completed; a multi-parameter sensor network is deployed at the ground layer to construct a blasting vibration monitoring network with a depth of up to 10 meters; the terminal layer has developed a dual-modal target detection model and an improved YOLOv8 m-MSFA visual algorithm. By introducing the multi-scale feature attention mechanism (MSFA), the target recognition accuracy has been increased to more than 96%, and a data-driven dynamic evaluation system for blasting effects has been established. The application results show that: this technical system significantly shortens the parameter iteration cycle dominated by traditional manual experience, compressing it from 6-8 hours to within 2 hours. The iteration efficiency increases by 56.7% - 63.8%, the operation efficiency increases by 30% - 40%, and the accuracy rate of illegal intrusion early warning reaches 96.4%. It has effectively solved the problems such as large safety hazards and serious waste of resources existing in traditional experience-driven blasting operations.
Tiago Teixeira, Joaquim Monteiro, João Garcia
et al.
Cheesemaking is an energy-intensive process that relies heavily on heating and cooling operations traditionally powered by fossil fuels and electricity from the national grid. Reducing this dependence and integrating renewable energy sources are essential to align the sector with European decarbonization targets. This study presents the development of a simulation tool for optimizing the energy management of a cheese production facility by integrating solar, wind, and biomass systems. The model evaluates techno-economic and environmental performance under different climatic conditions and operational scenarios. Experimental validation was carried out using a prototype installed at the Polytechnic Institute of Beja (Portugal), achieving a deviation of only 2.3% in renewable energy contribution between simulated and measured data. Results demonstrate that renewable integration can reduce non-renewable energy consumption, achieving weekly profits up to 0.019 €/kg of cheese and carbon emissions as low as 0.0109 kg CO<sub>2</sub>e/kg. The proposed approach provides a reliable decision-support tool for small- and medium-scale cheese producers, promoting both environmental sustainability and economic competitiveness in rural regions.
Rubee Singh, Amit Joshi, Hiranya Dissanayake
et al.
PurposeThis study presents a comprehensive bibliometric analysis of research trends at the intersection of Industry 4.0, circular economy, and human resource management (HRM).Design/methodology/approachThis study analyzes 693 documents from 2019 to 2024 using a bibliometric approach, including performance, citation, keyword co-occurrence, thematic mapping and trend topic analysis, highlighting a sharp rise in research driven by digital transformation and sustainability.FindingsWe demonstrate that Industry 4.0 and circular economy practices are well-established, while HRM's role in supporting them is emerging. The role of HRM practices like digital skills, green HRM, and leadership in enabling sustainability is underexplored. The analysis highlights gaps in workforce development for digital and sustainable transformations and the importance of global collaboration.Practical implicationsTheoretically, the study integrates HRM into Industry 4.0 and Circular Economy frameworks; practically, it guides organizations, policymakers and educators in developing workforce competencies, green HRM practices and leadership skills for sustainable digital transformation.Originality/valueThis is the first comprehensive bibliometric analysis integrating Industry 4.0, Circular Economy and HRM. Unlike earlier work focused on technology or operations, it highlights HRM's emerging role in digital and sustainable transformation. The study offers an integrated roadmap for future interdisciplinary research connecting technology, sustainability and human capital development.
Industrial engineering. Management engineering, Production management. Operations management
The persistent inequities in American cities—long recognized and lived by black and Hispanic people and other minorities, the poor and working class, and others disadvantaged by urban systems—have been vaulted into the broader public consciousness over the past decade. Lessening entrenched urban inequalities is now at the top of the national policy agenda, suggesting a need and opportunity for more urban operations management. On what issues and how might this work occur? Operations management was deeply intertwined with urban planning in research and practice from the 1950s through the 1970s, at which point the fields diverged. To build a case for what perspectives and approaches a modern urban operations management agenda might employ to address inequity, I synthesize historical and contemporary planning theory with the debates among reflective operations scholars in the 1950s-1970s over work on cities. Modern operations scholars can look to planning, and especially to recent major shifts in its thinking on race and class, to address urban operations that disadvantage some city residents and overly advantage others. This urban operations agenda should be empirical, equity-oriented, and community-focused in order to best resonate with planners and the city residents they serve. In reengaging with planners to tackle the modern range of urban policy problems, operations analysts have a chance to contribute practical clarity on how cities work and can be made more livable for all residents.
Scholars in management science and operations management (MS and OM) continue to make significant contributions to the notion of “doing good with good operations.” Impressively, the MS and OM literature has developed several pro-social sub-streams, such as healthcare operations, sustainability, and nonprofit operations; however, to the best of my knowledge, there are only two studies in the top MS and OM journals that mention LGBTQ+-related terms in their abstracts, keywords, or introductions (one appeared in 1989 and the other in 2021). The LGBTQ+ community is an integral part of society, and the field has significant potential to impact the lives of its members economically and socially. MS and OM scholars could pay greater attention to research problems at the interface of operational decision-making and the LGBTQ+ community, which I term “rainbow operations.” This study advances LGBTQ+ diversity, equity, and inclusion within the MS and OM literature by invoking several existing studies and showcasing how similar state-of-the-art techniques and tools can be used to answer interesting, rich, and impactful research questions concerning rainbow operations. I present motivating examples and supporting statistics, discuss related work by MS and OM scholars, and suggest several avenues for future research around the following three themes: LGBTQ+ clients in service delivery settings, LGBTQ+ employees in contemporary workplaces, and LGBTQ+ community in global supply chains. My goal is to inspire MS and OM scholars to think more broadly about our discipline and offer valuable operations-related perspectives on research problems of relevance to the LGBTQ+ community.
Technology assessment and selection problems have gained importance in recent decades as the used technology often determines the enterprises’ competitive advantage. Due to the extensive catalogue of criteria that should be considered and, on the other hand, the extensive catalogue of available technologies and solutions, the decision-making process of choosing a technology becomes a significant challenge for organisations and individuals. This study aims to identify the main research directions and trends in the scientific literature on applying multi-criteria analysis (MCA) in the context of technology assessment and/or technology selection. The author conducted a bibliometric analysis of publications indexed in the Web of Science and Scopus databases. The methodology of this study also included identifying the most productive authors, countries, organisations, and journals and analysing the occurrence and co-occurrence of terms. Final analyses included 380 publications retrieved from the Scopus database and 311 documents retrieved from the Web of Science repository. The analysis of the occurrence of terms and keywords allowed distinguishing two main research directions in using MCA methods in assessing and selecting industrial and health and medicine-related technologies. Some sub-areas have also been distinguished within these two areas: energy and renewable energy technologies, waste management, biomedical and medical technologies, and drug production technologies.
This study aims to determine and analyze the application of financial report and taxation training for Micro, Small, and Medium Enterprises (MSMEs) as well as any constraints faced ahead. This study observed 25 MSMEs in Special Region of Yogyakarta using a convenience sampling method. The data used are primary data obtained through interviews and focus group discussions. This research used qualitative analysis techniques. The result shows that MSMEs did not keep records because it was difficult and inconvenient. It also found that MSMEs have a tax ID number (NPWP) but did not pay and report their taxes. Tax is perceived as an expense which results in a reduced profit. However, financial reports and knowledge of taxation are required when applying for bank loans and obtaining government incentive funds. With training in the preparation of financial and tax reports, MSMEs are aware of the importance of financial and tax reports. Financial reports, NPWP, and tax return (SPT) filling are factors that can improve their business performance.
Production management. Operations management, Management. Industrial management
Jeffrey Steven Paulson, Anil Raj Kizha, Han-Sup Han
Economic potential of feedstock generated low-valued forest residue can be enhanced by emerging biomass conversion technologies (BCT), such as torrefaction, briquetting, and gasification. However, for implementing these emerging processes within the woods, several hurdles are to be overcome, among which a balanced supply chain is pivotal. Centralized biomass recovery operation (CBRO) could be an economically viable solution in accessing harvesting sites and allows integration of BCT into forest management. The goal of this study was to examine the logistic effects of integrating a BCT into a CBRO, under different in-wood scenarios based on variations in travel time between the facility locations, amount of raw materials handled, intermediate storage capacity, and duration (number of days) of annual operations. Specific objectives included analyzing the effects of forest residue recoverability (BDMT, bone dry metric ton/ha), total transportation time from the harvest unit to the market, and the annual number of in-woods production sites on the overall efficiency of the BCT operations. Concurrently, this study examined the forest managerial impacts due to such an integration. Location-allocation tool (maximize market share problem type) within the ArcGIS Network Analyst platform was utilized to model the scenarios and generate one-way travel times from the harvest site to final markets. Results from geospatial analysis showed that there were 89−159 and 64−136 suitable locations for the BCT for logistics model (LM) I and II, respectively. Total one-way travel time for all the models ranged between 1.0−1.7 h. Additionally, the annual numbers of BCT sites was inversely proportional to the total one-way travel time (i.e., harvest unit to market). Arranging CBRO and BCT operations to occur at the same in-woods site returned shorter total and average travel times than arranging the two activities at separate in-woods sites. The model developed for this study can be used by forest managers and entrepreneurs to identify sites for placing BCTs in the forest that minimizes transportation times.
Transportation and communication, Management. Industrial management
Sarah K. Gaichas, Geret S. DePiper, Richard J. Seagraves
et al.
Fishery managers worldwide are evaluating methods for incorporating climate, habitat, ecological, social, and economic factors into current operations in order to implement Ecosystem Approaches to Fishery Management (EAFM). While this can seem overwhelming, it is possible to take practical steps toward EAFM implementation that make use of existing information and provide managers with valuable strategic advice. Here, we describe the process used by the U.S. Mid-Atlantic Fishery Management Council (Council) to develop an ecosystem-level risk assessment, the initial step proposed in their recently adopted EAFM guidance document. The Council first defined five types of Risk Elements (ecological, economic, social, food production, management) and identified which management objectives aligned with each element. Based on an existing ecosystem status report for the region and other existing sources (including expert opinion), potential ecological, social, economic, and management indicators were identified for each risk element. Finally, low, low-moderate, moderate-high, and high risk criteria were defined for each indicator, and the indicator data were used to score each risk element using the criteria. The ultimate outcome is a ranked risk assessment in order to focus on the highest risk issues for further evaluation and mitigation. The risk assessment highlights certain species and certain management issues as posing higher cumulative risks to meeting Council management objectives when considering a broad range of ecological, social, and economic factors. Tabular color coded summaries of risk assessment results will be used by the Council to prioritize further EAFM analyses as well as research plans over the coming 5 years. As ecosystem reporting and operational EAFM continue to evolve in future years, the Council foresees integrating these efforts so that ecosystem indicators are refined to meet the needs of fishery managers in identifying and managing risks to achieving ecological, social, and economic fishery objectives. Overall, ecosystem indicator-based risk assessment is a method that can be adapted to a wide range of resource management systems and available information, and therefore represents a promising way forward in the implementation of EAFM.
Science, General. Including nature conservation, geographical distribution
The research aimed to identify the factors that predict the business intelligence of college students enrolled in engineering programs. Participants involved in study were students that belong to the generational cohort called neo-millennials. A theoretical model depicting the factors that affects the entrepreneurial acumen of engineering students was tested using multivariate analysis. Results of the study revealed that characteristics supporting the entrepreneurial acumen of engineer students were: enthusiasm; appreciation of available social resource; having a vision; a sense of entitlement; and having creativity and innovation. It has been identified that the competencies in personal, social, and technical aspect, gained by the students through formal and informal schooling predicted entrepreneurial acumen. The study suggested that the business intelligence of engineering students can also be predicted by entrepreneurial influence such as: early exposure to family business; and taking up entrepreneurial courses. The study also revealed that one’s innate entrepreneurial manifestations and characteristics predict entrepreneurial acumen.
Production management. Operations management, Business
This paper presents a bi-objective mathematical model for a four-echelon supply chain, including suppliers, producer, distributors and retailers. This model finds the flow among the different levels of the supply chain that minimizes the total cost of the supply chain and maximizes the service level under some restrictions in order to trade-off and justify the obtained solutions. Then, by using a numerical example, the presented model is solved by the STEM method and LINDO software. Finally, the flow among the different levels of the supply chain and the related objective function values are reported.
Management. Industrial management, Production management. Operations management
Persaingan yang ketat di industri smartphone membuat perusahaan mulai menanamkan konsep experiential marketing dan experiential value dalam memposisikan produk untuk mengalahkan pesaing. Saat ini para produsen smartphone berlomba-lomba untuk menawarkan produk dan jasa bagi konsumen berdasarkan pada perkembangan kebutuhan dan keinginan konsumen. Produsen dituntut untuk tidak sekedar menjual produk atau jasa saja, tetapi juga berpikir bagaimana menciptakan produk maupun jasa yang dapat memberikan pengalaman berkesan bagi konsumennya. Penelitian dengan judul “Analisis Experiential Marketing terhadap Experiential Value di Industri Smartphone” ini merupakan replikasi penelitian yang dilakukan oleh Maghnati et al (2012), dengan judul “Exploring the Relationship between Experiential Marketing and Experiential Value in the Smartphone Industry“. Penelitian ini bertujuan mengetahui pengaruh indikator experiential marketing yaitu sense experience, feel experience, act experience, relate experience, think experience terhadap experiential value. Jumlah sampel yang digunakan sebanyak 500 mahasiswa yang diperoleh melalui metode Judgement Sampling dan Quota Sampling yang diambil dari 5 perguruan tinggi di Daerah Istimewa Yogyakarta. Hasil dari Analisis Regresi Linear Berganda dengan pengolahan data menggunakan perangkat lunak SPSS versi 16: sense experience, feel experience, act experience, relate experience, think experience berpengaruh positif signifikan terhadap experiential value. Variabel yang mempunyai pengaruh paling dominan dalam mempengaruhi experiential value adalah variable think experience. Dengan demikian hasil penelitian ini mendukung penelitian Maghnati. et al (2012) yang menemukan bahwa experiental marketing berpengaruh positif signifikan terhadap experiental value.
Kata kunci: Sense Experience, Feel Experience, Act Experience, Relate Experience, Think Experience, Experiential Value
Production management. Operations management, Management. Industrial management
Despite the fact that much research on factors influencing auditor judgment has been carried out, job cognition and personality type have received little attention from behavioral researches. This study aims to investigate empirical evidence of the effect of job cognition and personality type on auditor judgment. Mail questionnaires were used to collect data from auditors working at public accounting firms in Jakarta and Surabaya.The multiple regression analysis conducted to test the research hypotheses shows that personality type significantly influences auditor judgment. However, the research does not find any empirical evidence that job cognition has a significant effect on auditor judgment.
Production management. Operations management, Management. Industrial management