The aim of the study is to examine The Mediating Role of Organizational Capabilities on the relationship between Lean Supply Chain and Operational Performance. The study population consisted of the managers in the upper and middle management of industrial companies listed on the Amman Stock Exchange, which (84) companies. To achieve the study objectives, a questionnaire was formulated to measure the variables of the study. Data were primarily gathered through self-reported questionnaires created by Google Forms The structural model was used to test the study hypotheses. The study results show that Organizational Capabilities mediate the relationship between Lean Supply Chain and Operational Performance.

The main goal of this research is to compare the various optimization strategies (Response Surface Methodology, Taguchi, and Teaching Learning Based Optimization) for orthogonal turning of Hard to Machine materials. The workpiece material in this work is Ti6Al4V alloys. After selecting cutting speeds in the High-Speed Machining range, orthogonal turning tests are performed on the material for a specific combination of machining parameters – Depth of Cut, Cutting Speed, and, Feed Rate. A Lathe Tool Dynamometer is used to record the cutting forces from the trials. After combining Johnson Cook Material and Damage models, a comprehensive Finite Element Model is created to model the Orthogonal Turning of Ti6Al4V alloys. Experiments conducted previously validate the developed model. Three different strategies, namely RSM, Taguchi, and TLBO, were used to optimise machining parameters for minimal Cutting Force. The approaches are compared for the best combination of machining parameters and the best Cutting Force value. Analysis of Variance is used to study the impact of machining factors on Cutting Force.

Analyzing a drug over its overlapped spectra utilizes sophisticated instruments and more toxic solvents, which has a deleterious effect on environmental safety. There is an alarming need to develop a simple, novel, and cost-effective method for determining combined substances that are non-toxic to the environment. So, the study aimed to develop four simple, fast and eco-friendly spectrophotometric techniques for quantifying clotrimazole and tinidazole in bulk and ointment dosage form. Stock solutions produced at concentrations of 7 to 13 and 17.5 to 32.5 µg/mL of clotrimazole and tinidazole in 10% v/v ethanol and scanned in the UV-visible range 200-450 nm, and used for all methods. The methods were validated according to the International Council for Harmonization guidelines and found to be within limits. Additionally, the outliers were tested by using the Grubbers test and found within limits. Finally, green evaluation studies show that the method is more environmentally friendly, as confirmed by four assessment tools.

This research aimed to study the approach of the community toward the decision to grow rice and economic crops, including appropriate resource allocation for use on a farm under a large plot agricultural system. The study areas were in Phan district, Chiang Rai province, Thailand, and the data were collected from a sampling of 400 field agriculturalists. The method used was to develop a mathematical model for growing crops with multi-objectives and in multi-periods, together with an agriculturist representative and experts in multiple-criteria decision-making (MCDM). This was to prioritize the importance of alternative crops and find the appropriate allocation of the resources to achieve the targeted goal. The results showed that agriculturists prioritized most toward the criteria for growing Japanese rice with a weight of 0.179 Kg., followed by transplanted rice, transplanted glutinous rice, garlic, sown paddy rice, and sown glutinous paddy rice, respectively. The study’s results also showed that the price fluctuation of the crop products resulted in more use of land and labor in order to increase the production to compensate for the low price, and this also resulted in the higher opportunity cost of growing transplanted rice. Therefore, growing transplanted rice during in season planting was considered the most effective way, while during the off season, either garlic or Japanese rice could be grown. A collective pattern for planning for using resources together in large plot agricultural areas, together with a clear marketing target would bring about effective use of the resources and reduce the risk in revenue from the fluctuation in prices and uncertainty of yields from drought. Moreover, technology development to solve the problem of the lack of labor would be deemed an important approach toward the enhancement of the competitiveness of agriculturists in the future as well.

This study aims to analyze individual and organizational factors from the perspective of gender amongst millennial employees in creative industries. The populations in this study are employees in the creative industries with sample limited to employee from millennial generation category. Based on these considerations, the sample taken in this study were 202 respondents. The research proves that exogenous variables (ethical behavior of leaders and internal communication) have positive and significant effects for endogenous variables (psychological capital, work attachment, meaning of work) on employees (millennial generation) of the creative industry sector. The results also showed that psychological capital was only determined by the ethical behavior of the leadership, whereas psychological capital was the most dominant variable in determining work engagement. Meanwhile, internal communication provides the most dominant influence on the meaning of work. This research is able to contribute by generating novelty research in the form of literature studies using gender roles. From the gender point of view, millennial employees who are female have the highest value for internal communication, work engagement and meaning of work. Meanwhile, the highest value of psychological capital is dominated by male respondents. Ethical behavior of leaders viewed from a gender perspective has the same value between male and female respondents.

In this paper, the focus is on mechanical systems that, like a ship or a submarine, perform risky missions and that must remain operating for the whole mission time. Missions take place far from the operational base and so, in case of failures, although repairs are possible, spares parts cannot be resupplied. Hence, given space constraints, the problem is to define the optimal set of spare parts that should be taken aboard, to maximize the probability to complete the mission. To solve this problem, we propose a constructive algorithm that generates the Pareto Optimal Frontier of all the non-dominated solutions, in terms of the system’s reliability and of required space. At first, the algorithm is formulated in a generic way; next, it is contextualized to the common case of Weibull distributed failure times. In this condition, the underlying equations of the model cannot be solved in closed form and an approximated procedure is proposed and validated through extensive numerical simulation.

The main objective was to examine the impact of social norms, habits, and perceived behavioral control towards intention and its impact on energy-saving behavior. Also, the direct effects of habits and perceived behavioral control were examined towards energy-saving behavior. The target population was based on citizens of Saudi Arabia while the data collection was conducted using a quantitative approach. The purposive sampling was used, and data was analyzed using PLS-SEM using SmartPLS 3.2.8. The results show that habits had insignificant impact on energy-saving behavior. The habits had a significant impact on intention. The intention had an impact on energy-saving behavior. The perceived behavioral control had an impact on intention. The social norms had an impact on intention. We recommend that people should enhance their perceived behavioral control by believing on their attitude and feelings towards developing positive intentions that further leads towards energy saving behavior.

The decision to purchase the best available electric power wheelchair (EPWC) for a person with a disability in a low-resource context is very stressful, whether it is based on financial circumstances or the availability of medical solutions. The study's objective is to assess the EPWC options available on the market, focused on a set of conflicting criteria. In this research, three multi-criteria decision-making (MCDM) approaches are used to make decisions. ENTROPY method for weightage calculation of various parameters, COPRAS and EDAS methods for evaluating and ranking alternatives are applied. Both COPRAS and EDAS are applied separately for ranking of selected wheelchair models, and to check the robustness of the applied method, sensitivity analysis on cost criterion is carried out. The result shows that for both methods, EPWC-1 is the top priority model to buy, whereas EPWC-7 is the worst model for COPRAS, and EPWC-10 is the worst model for EDAS among the ten alternatives.

The field of strategic innovation (SI) has been garnering increasing research interest, with studies adopting and employing varying definitions and creating different methods for its measurement. Despite the innumerable studies, few have addressed manufacturing and small and medium-sized enterprises (SMEs), particularly those focused on Middle East countries, in light of the relationship between structural capital (SC) and SI. Hence, the present work is primarily aimed at examining the role of SC in SI and the performance of manufacturing SMEs. It employed the survey method to gather data from the study sample of 284 Yemeni manufacturing SMEs and the hypotheses were tested using Partial Least Squares-Structural Equation Modelling (PLS-SEM). On the basis of the results, there is a significant influence of SI on performance; SC also has a moderating role of on this relationship. The present study is expected to contribute to the creation of a measurement system for SI in SMEs, stressing each component of SI in enhancing the performance of such enterprises.

This article studies the mechanical characterization of impact loads on polyamide fibers. Using synthetic ropes in mooring systems, these are subject to static loads, but dynamic loads are also expected. One of the dynamic loads that can occur on cables are sudden loads, which makes the analysis of impact loads important. In this study, impact cycles were applied to polyamide multifilaments until rupture with different impact masses, and considering the conditions: dry, after 6 hours of immersion in water and after 24 hours of immersion in water. The analysis of the immersed conditions allows us to interpret the plasticizing effect that moisture exerts in polyamide, through loss stiffness in the rupture test. The results show that the increase in immersion time represents decrease in the breaking strength, and also in the resistance to impact cycles. A curve parameterization is proposed that relates the number of impact cycles and the percentage of Yarn Break Load used in the impact, getting through the coefficient of determination the best model. For force versus time graphs, obtained in each impact cycle, the energy dissipation in the multifilament can be observed in two main mechanisms: the first is the elastic deformation in form of ricochets, the second is the plastic deformation by stretching/elongation. The force-time graphs of impact cycles and the number of impact cycles to failure are measures that show performance for impact dynamic loads. Attention should be the plasticizing effect caused by water, as it reduces the static and dynamic mechanical strength of polyamide.