Gábor Lakatos, Bence Zoltán Vámos, István Aupek
et al.
Shift organizations in automotive manufacturing often rely on manual task allocation, resulting in inefficiencies, human error, and increased workload for supervisors. This research introduces an automated solution using the Kuhn-Munkres algorithm, integrated with the Moodle learning management system, to optimize task assignments based on operator qualifications and task complexity. Simulations conducted with real industrial data demonstrate that the proposed method meets operational requirements, both logically and mathematically. The system improves the start of shifts by assigning simpler tasks initially, enhancing operator confidence and reducing the need for assistance. It also ensures that task assignments align with required training levels, improving quality and process reliability. For industrial practitioners, the approach provides a practical tool to reduce planning time, human error, and supervisory burden, while increasing shift productivity. From an academic perspective, the study contributes to applied operations research and workforce optimization, offering a replicable model grounded in real-world applications. The integration of algorithmic task allocation with training systems enables a more accurate matching of workforce capabilities to production demands. This study aims to support data-driven decision-making in shift management, with the potential to enhance operational efficiency and encourage timely start of work, thereby possibly contributing to smoother production flow and improved organizational performance.
Eudocio Rafael Otavio da Silva, Thiago Lima da Silva, Marcelo Chan Fu Wei
et al.
Coffee yield exhibits plant-level variability; however, due to operational issues, especially in smaller operations, the scouting and management of coffee yields are often hindered. Thus, a cell-size approach at the field level is proposed as a simple and efficient solution to overcome these constraints. This study aimed to present the feasibility of a cell-size approach to characterize spatio-temporal coffee production based on soil and plant attributes and yield (biennial effects) and to assess strategies for enhanced soil fertilization recommendations and economic results. The spatio-temporal study was conducted using a database composed of yield and soil and plant attributes from four harvest seasons of coffee plantation in the southeast region of Brazil. We used small plots as cells, where soil, leaf, and yield samples were taken, and the average value of each variable was assigned to each cell. The results indicated that macro- and micronutrient contents in the soil and leaves exhibited spatio-temporal heterogeneity between cells, suggesting that customized coffee tree management practices could be employed. The cell-size sampling strategy identified regions of varying yield over time and associated them with their biennial effect, enabling the identification of profitable areas to direct resource and input management in subsequent seasons. This approach optimized the recommendation of potassium and phosphate fertilizers on farms, demonstrating that localized management is feasible even with low spatial resolution. The cell-size approach proved to be adequate on two coffee farms and can be applied in scenarios with limited resources for high-density sampling, especially for small- and medium-sized farms.
Many parts of the world are experiencing extreme weather events, energy poverty, food insecurity, and lack of access to basic healthcare. Moreover, concerns over socioeconomic, gender, and racial inequalities are growing. These socially relevant issues are ripe for analysis and improvement using an operations management lens. In this paper, we review some of the relevant research advancements made in the last decade, and identify future research directions on these important topics. In particular, we focus on papers related to sustainable planet (renewable energy, environmentally and socially responsible operations, regulation‐driven operations), agriculture, and public health. For future research directions, we discuss the role of innovative business models and disruptive technologies, such as artificial intelligence (AI) and blockchain, in addressing these pressing issues.
Amuda Afolabi Adeoye, Aminat Arike Ariyo-Edu, Stephen John
The growing demand for public goods and services such as education, healthcare, infrastructure, and security; as well as expanding scope of public sector operations has led to increased cost of governance globally including Nigeria. However, the performance of the Nigerian public sector remains alarmingly poor over the years, primarily due to issues like inadequate budgetary implementation. This motivated this study to investigate the effect of cost of governance on public sector performance in Nigeria. Secondary data were sourced from CBN Statistical Bulletin and National Bureau of Statistics NBS. The study employed robust least square (RLS) estimation method. The results showed that capital expenditure with (? = 7.543; p-value = 0.000); and debt service cost with (? = 6.662; p-value = 0.000) have significant positive effect on public sector performance, while recurrent expenditure with (? = -5.503; p-value = 0.000) has significant negative effect on public sector performance in Nigeria. The study concluded that cost of governance affects public sector performance in Nigeria. The study therefore recommended that government should monitor adherence to budget allocations, especially for capital projects, to ensure resources are used effectively in line with Sustainable Development Goal (SDG) 12 of Responsible Consumption and Production.
Business, Production management. Operations management
Robiyanto Robiyanto, Essy Indah Pangesti, Harijono Harijono
et al.
This study aims to analyze the effect of oil price volatility, gold price volatility and exchange rate volatility on the dynamic relationship between Indonesian and United States capital market. The data used in this study are daily closing prices of oil, gold and exchange rates (USD/IDR) as well as Indonesian capital market (JKSE) and United States capital market (DJIA) composite indices during period of January 2005 to October 2020. This study uses DCC-GARCH method to calculate the dynamic correlation between two capital markets and GARCH with the GED parameter to analyze oil volatility, gold volatility and exchange rate volatility on the integration of Indonesian capital market and United States capital market. The results of this study show positive and strong results on the integration of Indonesian and United States capital markets, thus proving that the movements of Indonesian market and American market tend to be strong and mutually influence the two capital markets. Moreover, the oil, gold and exchange rates volatilities have a negative effect on the integration of the Indonesia capital market and the US capital market. This finding implies investors should take oil, gold and exchange rates volatilities in their investment consideration.
Production management. Operations management, Management. Industrial management
Marcelo Prado Sucena, Marcus Vinicius Quintella Cury
Este artigo busca desenvolver modelagem, baseada no método Fuzzy-SAW, para avaliar a qualidade percebida pelos clientes finais na prestação do serviço logístico do e-commerce. Pretende-se desenvolver estudo de caso para validação e exemplificação, usando-se dados obtidos em enquete para se determinarem o Índice da Qualidade da Logística do E-commerce e outros parciais. Após o processamento de 409 registros obtidos por intermédio de questionário, observou-se que as quatro empresas mais citadas, usadas como alternativas no modelo, registraram quase 80% das observações. Após a análise de sete atributos operacionais e outros quatro relacionados ao atendimento do cliente, considerados no modelo como os critérios, notou-se que nenhuma das empresas atingiu grau 6,0 em escala [0,10], caracterizando potencial para melhoria. A empresa com maior amplitude nacional é a que apresentou a pior qualidade; a segunda mais qualificada é concorrente direta desta empresa; a com melhor grau (5,53) representa, apenas, 4% das citações na enquete.
Production management. Operations management, Production capacity. Manufacturing capacity
Nowdays, supply chain specialists are looking for the integrated development of the supply chain model in order to increase the competitiveness, effectiveness and reduce the problems in the supply chain. They always seek to identify and develop this process so that they can cover more aspects of the chain. Adding effectiveness indicators along with LARG indicators and using the basics of the dynamic system to improve the efficiency of the supply chain is one of the innovations of this study. At first, by using research literature and studies, 12 headings of indicators were selected as LARG-E indicators. Then, with the Fuzzy Delphi method, the relationships and importance of each of these components were determined, and more important variables were modeled for further investigation. With using the concepts of dynamic systems, causal loops were drawn. Then, to check the function of the model, dynamic hypotheses were developed with the opinion of experts. In the next step, the flow diagram of the model and also the validation tests of the proposed model were done. Finally, by examining the outputs obtained from the proposed scenarios, it was found that most of variables have better behavior in LARG-E approach.IntroductionIn recent years, with the addition of various competitions in the world markets, many researches have been conducted to use new technologies and researches in order to improve the production process and increase the effectiveness of these competitions as much as possible (Mohghar et al., 2017). All the goals that work in this field increase the competitiveness of the organization. This competition is by reducing costs, being present in the market and satisfying the customer. To increase profits, protect the environment, keep the markets stable and meet the expectations of customers, organizations should be provided using the existing environments in a set of customers (Pisha et al., 2016). Use chain management requires the use of new facilities and improvements to previous findings such as lean, agile, resilience and green to increase speed and competitiveness, selection and decision-making to achieve the organization and maximum effectiveness.Today, supply chain specialists are looking for the integrated development of the supply chain model to increase the effectiveness and efficiency of the supply chain in order to increase competitiveness and reduce supply chain problems. In this case, there is a consensus among experts that there is no comprehensive model. All the mentioned cases make it inevitable to design a comprehensive and effective model for the supply chain. The verifiable issue is the conflicts and the non-alignment of all the indicators of the paradigms with each other. LARG paradigms, without considering the spirit of effectiveness in each supply chain, cannot fully protect it against continuous changes in the competitive market arena. A comprehensive model that pays particular attention to effectiveness while implementing LARG paradigms has not been examined in the literature review and the consensus of experts. Therefore, in this research, we are looking to design a comprehensive model in a LARG-effective manner so that the effect of various LARG-effective indicators on the performance of the supply chain can be investigated. The integration of LARG paradigms has been studied a lot so far, but its development is based on the concepts of innovation effectiveness of this research, and in this way, the dynamic system approach was used.Materials and MethodsTo formulate a LARG supply chain, first the framework, indicators and variables of each LARG paradigm were extracted from the research literature, then in order to develop them with effective concepts, the effective supply chain was studied. In order to implement the fuzzy Delphi approach, based on the effectiveness indicators extracted from the subject literature and LARG supply chain approaches, operational indicators were provided to the experts participating in the research in the form of a questionnaire via email and after initial coordination. After collecting the completed questionnaires, fuzzification operations, fuzzy averaging and then de-fuzzification were performed. The results were brought to the attention of the participants and they were asked to apply their desired changes according to the obtained results. This approach reached the saturation stage in the third round and there was no change in the opinions of the participants and the consensus of the panel experts was the final and trusted output of the Delphi method. Finally, according to these weights, 9 quantitative variables had the highest importance and were used for dynamic modeling. The simulation stage is done with the help of software and Nasim. According to the features of modeling based on system dynamics, this approach was chosen as the main research tool in this study because there are linear relationships between the variables and there are nested feedbacks between the variables of the subsystems, the importance of simultaneously improving the performance in different layers of the producer, supplier and distributor. Which is one of the goals of this research, with this approach, it can be a very suitable tool for decision-making by the senior managers of the organization.Discussion and ResultsOrganizations are trying to improve their competitiveness by adopting Lean, Resilient, Green and Agile strategies; But as it was said, the implementation of these paradigms, which sometimes have conflicting results, requires a new integration and index to align the goals. So far, many researches have been done by merging two or more paradigms, the combination of all 4 paradigms called LARG has greatly helped to improve the performance of supply chains, but in this research, in order to improve the conflicts between paradigms, a new concept of spiritual effectiveness was given to the supply chain. Understanding the dynamics of applying the above four strategies and their effectiveness was done using the dynamic systems approach. In this research, the indicators of the LARG supply chain were defined based on theoretical foundations and interviews with experts; then the effectiveness indicators were placed next to them. These indicators were implemented in the printing and ink industry. In this way, an effective LARG integrated system was defined; then, using a dynamic model, dynamic hypotheses were first defined and state and flow diagrams were drawn. After correctness of the model and validation of the model, two scenarios were examined for 8 important variables. After applying the scenarios, the performance of LARG and effective LARG was compared. By applying each scenario in the designed model, it was possible to check the effect of new indicators on the variables and their behavior.ConclusionsAs a result, if the components of the effective supply chain are properly integrated with the LARG concepts, they integrate the conflict that may exist between the LARG paradigms and play the role of synchronization and improvement as a ruler and standard. The effective management of the LARG supply chain may not be defined as an independent variable, but it is a result of variables and indicators that improved performance in most cases.
Nurazwa Ahmad, Noor Nabila Patahollah, Noor Aslinda Abu Seman
Employee turnover is an upsetting crisis that happens to the organization because it would affect the
associated costs and decrease organization performance. There are two types of turnover which are
voluntary and involuntary turnovers. Turnover is typically the result of the level of satisfaction and
stress experienced by the employees in the workplace. This study is to examine the impact of job
satisfaction and job stress on turnover intention amongst academic staff in a public university. This
study was performed by employing quantitative research with a total response of 285 academic staffs.
SPSS software was used to analyze the data with Pearson correlation and multiple regression analysis
to ensure the relationship between and the impact of independent variables on the dependent variable
could be determined. The results show a negative relationship of job satisfaction towards turnover
intention while job stress shows a weak positive relationship towards turnover intention. Furthermore,
it was proven that the R-squared value is 0.084 which clarifies job stress and job satisfaction only
represent a small percentage of 8.4% of the turnover intention. Job stress significantly influenced
turnover intention at the p < 0.05 whereas job satisfaction significantly influenced turnover intention at
p < 0.01. It shows that the academic staff have a low intention to quit their job even if the level of job
stress is present. The future study should possibly look into the factors and reasons that influence the
academic staffs’ decision to stay even though the work they are doing sometimes giving them a hard
time.
Maria Antonietta Costagliola, Gabriele Di Blasio, Roberto Ianniello
et al.
A viable solution for residual biomass exploitation to reduce the cost related to biomass disposal and simultaneously create profit by electrical and thermal energy use is combined heat and power generation over the micro-scale of power (m-CHP) based on biomass gasification. The exploitation and improvement of these systems were the main objectives of the Italian project “PROMETEO – Production of electrical, thermal and cooling energy with m-CHP fueled by residual biomass”, funded by the local Ministry of Economic Development (MISE). The present work shows an extended experimental activity based on a 20kW micro-cogeneration system as powered by two types of residual lignocellulosic biomasses briquettes in a demonstrative environment site identified in a waste management and storage plant in the Municipality of Mugnano, Naples, in the south of Italy. The m-CHP plant is made of a gasifier, a syngas cleaning circuit and a spark ignition (SI) internal combustion engine (ICE) connected to an electric-generator. The electrical output was meant to power the plant machines for the operations of waste storage. For both biomasses, tests were conducted for the complete characterization of the system in low and medium load and in different spark ignition timing to assess the system sensitivity. The m-CHP performance was investigated with a complete characterization of the syngas and tar compositions, main pollutant emissions and internal combustion engine analyses, aimed at the evaluation of the energetic and environmental efficiencies. An analysis of the air quality near the site by evaluating CO, O3, NO2, C6H6 and PM10 concentration was also carried out. The ultimate purpose of the present work is the demonstration of the advantages of the employment of biomass-powered cogeneration systems in the Mediterranean regions.
Chemical engineering, Computer engineering. Computer hardware
The purpose of this research is to examine the effect of SRI index on abnormal return of added to and deleted stocks of two countries, Indonesia (SRI-KEHATI) and Malaysia (FTSE4GBM). The effect was examined using CAAR of the stock around index announcement. This research was conducted using event study methodology. The samples used in this research are all the stocks that were added to and deleted from SRI-KEHATI index on 2009-2018 announcements and FTSE4GBM index on 2014-2018 announcements. The result of hypothesis test shows that SRI index announcement has negative significant effect to the added stocks to SRI-KEHATI’s CAAR before announcement, after announcement and cumulative periods, to added stocks to FTSE4GBM’s before announcement and cumulative periods, and to deleted stocks from FTSE4GBM’s after announcement and cumulative periods. SRI index announcements has positive significant effect to the deleted stocks from SRI-KEHATI’s CAAR before announcement. Information on SRI index announcements has effects to the decisions made by investors. Indonesian investors reacted negatively toward added stocks but not choosing deleted stock either after announcements. Malaysian investors reacted negatively toward both added and deleted stocks, added stocks are perceived better even if positive CAAR are insignificant after announcements.
Production management. Operations management, Management. Industrial management
مسئلۀ پورتفولیوی پروژه به انتخاب زیرمجموعهای از پروژههای پیشنهادی در سازمان توجه میکند. یکی از اهداف مدیریت پورتفولیوی پروژه، کاهش ریسکهای موجود در فرایند انتخاب پورتفولیو است. در دنیای واقعی، ریسکهای پروژه بهندرت، مستقل هستند و معمولاً درجهای از روابط متقابل دارند که با لحاظکردن این تعاملها، ارزیابی صحیحتری دربارۀ مهمترین ریسکهای تأثیرگذار در موفقیت پروژه به دست میآید. در این پژوهش، براساس طبقهبندی «هزینه- زمان- کیفیت»، 11 نوع ریسک با جنبۀ منفی، شناسایی شدند تا تقابل پروژهها بهازای ریسکهای تأثیرگذار بررسی شود. با توجه به روابط متقابل ریسکهای پروژه، این پژوهش برای اولینبار، روابط متقابل سهگانۀ این ریسکها را برای کشف دقیقتر تأثیر عوامل بر یکدیگر شناسایی کرده است. در این مقاله با بررسی ریسک تکپروژه، از رقابت تکپروژههایی که میزان ریسک آنها بیشتر از حد مجاز است، در پورتفولیو جلوگیری شد؛ اما آثار متقابل جفتی و سهگانۀ پروژهها براساس معیارهای اثرگذار ریسک سبب شد علاوه بر میزان ریسک، از کنار هم قرارگرفتن پروژههایی که موجب همافزایی ریسک در پورتفولیو شدند نیز جلوگیری شود. درنهایت، برای ارزیابی اعتبار پژوهش، الگو بهصورت دقیق با برنامهریزی خطی عدد صحیح با دو هدف «بیشینهسازی نرخ بازگشت سرمایه» و «بیشینهسازی تعداد پروژههای پورتفولیو» و محدودیت بودجه بررسی شد. نتایج نشان دادند در نظر گرفتن اثر متقابل جفتی و سهگانه به جای در نظر گرفتن اثر متقابل جفتی بهصورت مجرد، پاسخهای متفاوت و بهتری ارائه میدهد.
Management. Industrial management, Production management. Operations management
Badurina-Đurkin Jelena, Perić Marko, Šebrek-Kljaić Jelena
This paper analyses the concepts of hybridity and hybrid spectrum organizations as important phenomena in the modern world. To improve the understanding of this concept, main characteristics of hybrid organizations are listed and discussed, with emphasis on typology of the hybrid spectrum. In order not to stop at a mere theoretical review, the purpose of this paper is to analyze specific characteristics of organizational hybrids in the field of tourism and to discuss the influence of some external environmental determinants (e.g. level of tourism development and the context of national legislation) on the motivation and mission of hybrid organizations. Croatia has been chosen as a study area, being one of the most popular tourist destinations in Europe, as well as an example of an economy that is heavily dependent on tourism. The results of the discussion provide arguments in favor of adopting a hybrid approach for sustainable tourism development. The selected examples from Croatia underline the necessity of introducing more sustainable business models in this financially lucrative sector, but also emphasize the key role of specific contextual circumstances in forming and developing hybrid organizations.
Production management. Operations management, Personnel management. Employment management