This paper presents an empirical investigation to evaluate the impact of purchase, storage and inventory management on the production costs of materials supply management in the Peruvian paper industry. A linear regression model was used under the ordinary least squares method to determine the causal relationship between the provisioning of materials and production costs. It was concluded that the evaluation of the effect between the study variables was inversely proportional, that is, as the management of purchase, storage, and inventory in companies improve, the production costs may also be reduced.

Optimum design and control of a Combined Cooling, Heating and Power generation (CCHP) system, in addition to the economic benefits, could be profitable in environmental and energy consumption aspects. The aim of this study is to determine the optimal capacity of equipment and define the best control strategy of a CCHP system. Since determination of optimal system control strategy has a huge impact on improving the objective functions, the system’s performance under five different strategies (developed based on well-known Following Electrical Load (FEL) and Following Thermal Load (FTL) strategies) is evaluated. In a real case study, a CCHP system is designed for an educational complex located in Mahmoudabad, Mazandaran, Iran. The objective is to minimize capital and operational costs, energy consumption, and CO2 emissions of the system. Due to the complexities of the model, genetic algorithm (GA) and particle swarm optimisation (PSO) algorithm are used to find the optimal values of the decision variables. The results show that using FEL strategy CO2 emissions reduces in compression to FTL strategy. Furthermore, using multiple power generation units under FTL strategy eventuates the least cost but increases CO2 emissions and energy consumption in compression to FEL strategy.

During the past few years, there has been a growing interest in applications of environmental cost management accounting (ECMA) in different manufacturing industries. ECMA is a useful tool for environmental performance improvement and achieving better financial benefits. Nevertheless, ECMA implementation is in early stages in many countries such as Vietnam. Brick industry is one of the most polluted sectors, which has significant impact on the environment. The purpose of this paper is to provide a clear image of ECMA application in Vietnamese brick manufacturing enterprises. Both qualitative and quantitative research methodologies are used to analyze the participants' attitudes, perceptions and concerns about the potential for applying ECMA. The results indicate that the brick industry adopted low level of ECMA and provide some necessary suggestions to promote the enterprises applying ECMA.

Employees have collective skills, abilities and experience that contribute to the interests of the company where they work, and can contribute to the success of supply chain and is a resource that is an asset in achieving supply chain excellence. To examine this relationship, this study investigates the role of human resources management (HRM) on the supply chain management of fertilizer companies in Indonesia, which is focused on the distribution and logistics of fertilizer from producer to their network and consumers. This study took samples from two fertilizer companies in East Java, structural equation modeling (SEM) analysis was carried out with the Smart PLS. 18 (Partial Least Square) program, and shows the value of t = 348.825 with p = 0.000 (p < 0.000) which means there is a significant effect of implementing enterprise human resources management (HRM) standards on company supply chain excellence and represents indicators of management strategy, cost leadership, focus on productivity, logistics, distributions, operational effectiveness, differentiation, and cooperation with companies or other institutions that support each other. The results of this study have provided an overview of the application of enterprise capable of supporting human resource management. Enterprise standards in both fertilizer companies are applied regularly, starting from checking the completeness of the employee database, including contact information, details of salary, compensation and benefits; attendance, employee performance, career planning, work relations, socialization, and informal communication so that the company would be able to adapt and be more flexible towards every need in the present and in the future.

The collaboration between the universities and industries is currently in the focus of attention globally. Governments, universities, and industries are interested in good and effective collaboration, which would be beneficial for all parties. To foster University-Industry Collaboration, and to help transfer the knowledge and technology between these two parties, academics, politicians and companies are paying attention to science and technology policies more than ever. In this study, the factors affecting the improvement of University-Industry Collaboration are identified and prioritized. In the first step, 20 factors are identified and 12 factors are selected using the Fuzzy Delphi method. Then, using the BWM method, prioritizing the extracted factors is determined for industry sponsorship of the university research. Finally, based on the results, the discussion is conducted and six major strategies are presented to improve this relationship.

Mobile learning application now is considered a powerful application for learning and was adopted in universities in the period of Covid-19. After Covid-19 pandemic, university students have been allowed to use mobile learning systems, it is needed to ensure students’ intention to continuously use mobile learning for their learning activities or not. Thus, the purpose of this paper is to understand the main determinants that encourage the continuous use of mobile learning. To achieve that, we used the UTAUT-2 model to predict the main determinants of mobile learning acceptance. In our study, a quantitative technique was employed to collect the data. A hybrid approach SEM-ANN was applied to validate the research model. The findings indicated that performance expectancy and effort expectancy had a strong effect on students' attitudes towards mobile learning platforms. In addition, the results showed that performance expectancy and effort expectancy have a significant impact on students' continuous intention to use mobile learning platforms after Covid-19. In addition, hedonic motivation and habit had a positive effect on both students' attitudes and continuous intention to use mobile learning platforms. Moreover, Social influence factor and facilitating conditions had a significant effect on students' continuous intention to use mobile learning platforms after Covid-19.

The editors of Uncertain Supply Chain Management retract this article [1] based on the request made by authors since they had found some significant issues about the results which could mislead the readers.

This study aims to find empirical evidence regarding the factors that affect the quality of information systems and the quality of supply chain management as seen from the environmental uncertainty of the organizational structure and the distribution network competence in manufacturing companies in Medan, Indonesia. The research method used is quantitative and verification that aims to determine the relationship between variables through a hypothesis testing. The data used are primary data using a questionnaire aimed at functional managers of marketing managers and production managers with a Likert scale. The study uses a sampling technique through a census of the entire population as a unit of analysis as many as 206 managers spread across 103 manufacturing companies in the city of Medan. Data analysis was performed through multiple linear regression analysis. The results showed that environmental uncertainty, organizational structure, and distribution network competence partially and simultaneously affected the quality of supply chain management information systems in manufacturing companies.

Human resource productivity is one of the vital notions in the management of modern organizations. Many studies concerned with this notion have tried to identify the factors affecting productivity and its improvement. One of these important factors is organizational spirituality. The present study investigated the impact of organizational spirituality, from an Islamic perspective, on human resources productivity in BELFA Co., Iran, as a manufacturing organization. The study relied on a descriptive survey method and used structural equation modeling to analyze data in Smart-PLS software to fit the measurement model and the structural model. Results revealed that spirituality could predict 26% of the variance of Human resources productivity in the company, proving to be an effective factor.

In this paper, the Multi-Depot Electric Vehicle Location Routing Problem with Time Windows (MDVLRP) is addressed. This problem is an extension of the MDVLRP, where electric vehicles are used instead of internal combustion engine vehicles. The recent development of this model is explained by the advantages of this technology, such as the diminution of carbon dioxide emissions, and the support that they can provide to the design of the logistic and energy-support structure of electric vehicle fleets. There are many models that extend the classical VRP model to take electric vehicles into consideration, but the multi-depot case for location-routing models has not been worked out yet. Moreover, we consider the availability of two energy supply technologies: the “Plug-in” Conventional Charge technology, and Battery Swapping Stations; options in which the recharging time is a function of the amount of energy to charge and a fixed time, respectively. Three models are proposed: one for each of the technologies mentioned above, and another in which both options are taken in consideration. The models were solved for small scale instances using C++ and Cplex 12.5. The results show that the models can be used to design logistic and energy-support structures, and compare the performance of the different options of energy supply, as well as measure the impact of these decisions on the overall distance traveled or other optimization objectives that could be worked on in the future.