This paper reviews context and results of a software tool, named SaTrade, for Model Based System Engineering in System Design of a CubeSat. This tool helps designers to go through system design trade offs easily in System and Subsystem Levels. To achieve this, Modeling for subsystem design has been made using Block Diagram Definitions and implemented in codes with Inputs from System Design and Outputs to Subsystem specifications and Design Integration. Another Feature of SaTrade is change and modification control and management, where it can be from Requirements or other Inputs from System Design or Interfaces. Changes will be affected on the System Design to allow the Designers follow the process by simulations for Integrity check and Evaluation. The first version of SaTrade focuses on Satellite Structure Design and Configuration Management more, using its Neural Network Algorithms dedicated for this purpose, however, it is intended to make paperless automated design available for the whole CubeSat System in the next version.

The aim of this research is to analyze the influence of organizational culture, owner characteristics, government intervention on entrepreneurial orientation and its implications for business performance among MSME actors in the culinary sector in Bogor City, West Java Province, Indonesia. The sample in this study was 196 respondents consisting of MSMEs operating in the food sector that had been running for at least 6 months. Sampling technique using random sampling. Data collected through questionnaires was then analyzed using SEM-PLS. Research findings based on data analysis that have been carried out show that Organizational Culture has a positive and significant influence on the Entrepreneurial Orientation of MSME Actors in the Culinary Sector in the City of Bogor; Owner Characteristics have a positive and significant influence on the Entrepreneurial Orientation of MSME Actors in the Culinary Sector in the City of Bogor; Government intervention has a positive and significant effect on the Entrepreneurial Orientation of MSMEs in the Culinary Sector in the City of Bogor; Organizational culture has a positive and significant effect on business performance among MSME actors in the culinary sector in the city of Bogor; Owner characteristics have a positive and significant influence on business performance among MSME actors in the culinary sector in the city of Bogor; Government intervention has a positive and significant effect on business performance among MSME actors in the culinary sector in the city of Bogor; Entrepreneurial Orientation has a positive and significant effect on Business Performance among MSMEs in the Culinary Sector in the City of Bogor; Organizational Culture has a positive and significant effect on Business Performance through entrepreneurial orientation for MSMEs in the Culinary Sector in Bogor City; Owner characteristics have a positive and significant influence on business performance through entrepreneurial orientation for MSME actors in the culinary sector in the city of Bogor; Government intervention has a positive and significant effect on business performance through entrepreneurial orientation for MSME actors in the culinary sector in Bogor City, West Java Province, Indonesia.

The efficiency of different sorbents (bulk soil, sand, silt, clay and humic acid-HA) for chlorantraniliprole (CAP), dinotefuran (DNF), bispyribac-sodium (BPS), and metribuzin (MBZ) adsorption was described and compared. The adsorption of CAP, DNF, BPS and MBZ were significantly greater on clay and HA fractions than the bulk soils. Also, the tested pesticides sorption was greater on HA fraction compared to clay fraction except in the case of BPS. The mass unit of bulk soil adsorbed of CAP, DNF, BPS and MBZ approximately 15, 20, 10 and 5 % of the same of HA and 40, 60, 95 and 35 % of that of clay fraction, respectively. The actual amounts adsorbed on bulk soil ranged from (88.63 to 93.93 %) of the calculated amounts adsorbed on all soil components indicating high efficiency of the tested soils to adsorb tested pesticides. All adsorption data fitted well to the linear Freundlich equation. The adsorption of tested pesticides in soil and their different constituents is S-type according to 1/n (except some cases).

This paper seeks to examine the relationship between determinants of blood transfusion sustainability (BTS) that is master production scheduling (MPS) and total quality management (TQM) of Uganda. The study was founded on four objectives. The study looked at the direct relationship between MPS and the BTS, direct relationship between MPS and TQM, direct relationship between TQM and BTS. It also assessed how TQM mediated the direct relationship between MPS and BTS. The study used a quantitative method. A survey questionnaire was administered to collect data from 367 staff of regional blood banks and government university teaching hospital blood banks; and 213 were found to be usable. The main analysis was done using structural equation modeling. The study found that MPS had a positive and significant relationship with the BTS. The study found that the relationship between MPS and TQM was positive and significant. The study also found that the relationship between TQM and BTS was positive and significant. The study concluded that the effect of MPS on BTS was not mediated by TQM. It was recommended that blood banks seeking to achieve transfusion sustainability must invest in understanding the sector in which they operate. This includes understanding the blood demand requirement, customer focus, people involvement and timely delivery. The various stakeholders in the blood supply chain i.e. blood banks, hospital blood banks, funding agents, ministry of health, must also integrate to enhance the transfusion sustainability. Blood banks performance measures essentially timely delivery was very critical for saving lives of patients in need of blood. The study has provided a new conceptual framework that investigates the TQM mediating effect on the relationship of MPS and BTS, and thus can serve as an incentive for more research to be conducted in this regard in blood banks of different developing countries. The authors also proposed identifying the effect of other TQM factors such as process management, system management, supplier relationship and top management on BTS.

The selection of an optimal supplier is a critical and open challenge in supply chain management. While experts' assessments significantly influence the supplier selection process, their subjective interactions can introduce unpredictable uncertainty. Existing methods have limitations in effectively representing and handling this uncertainty. The paper aims to address these challenges by proposing a novel approach that leverages q-rung orthopair fuzzy sets (q-ROFSs). The novelty of the proposed approach lies in its ability to accurately capture experts' preferences through the use of q-ROFSs, which offer membership and non-membership degrees, providing a broader expression space compared to conventional fuzzy sets. Additionally, it incorporates social network analysis (SNA) to effectively consider the trust relationships among experts. The proposed approach is divided into three stages. The first stage, presents a novel method to determine experts' weights by combining SNA, the Bayesian formula, and the maximum entropy principle. This approach allows for a more precise representation of varying levels of expertise and influence among experts, addressing the uncertainty arising from subjective interactions. The second stage introduces a hybrid weight determination method to determine criteria weights within the context of q-ROFSs. Entropy plays a crucial role in capturing fuzziness and uncertainty in q-ROFSs, while the projection measure simultaneously provides information about the distance and angle between alternatives. By employing both objective weights estimated using entropy and normalized projection measure and subjective weights derived using an aggregation operator and a score function, the presented approach achieves a comprehensive assessment of criteria importance. To incorporate both subjective and objective weights effectively, game theory is applied which allows us to align decision-making with both quantitative and qualitative aspects, making the method more versatile and applicable. The third stage redefines the traditional Combined Compromise Solution (CoCoSo) method using Bonferroni mean operators which captures interrelationships among arguments to be aggregated. Furthermore, in recognition of the importance of an expert risk preferences and psychological behaviors, we apply regret theory, ensuring that the chosen solutions align more effectively with their underlying preferences and aspirations. The applicability and effectiveness of the proposed approach are demonstrated through a numerical example of green supplier selection. The comparative analysis illustrates the practicality and real-world relevance while the sensitivity analysis, confirms the stability and robustness of the proposed approach.

Crew pairing is the primary cost checkpoint in airline crew scheduling. Because the crew cost comes second after the fuel cost, a substantial cost saving can be gained from effective crew pairing. In this paper, the cockpit crew pairing problem (CCPP) of a budget airline was studied. Unlike the conventional CCPP that focuses solely on the cost component, many more objectives deemed to be no less important than cost minimisation were also taken into consideration. The adaptive non-dominated sorting differential algorithm III (ANSDE III) was proposed to optimise the CCPP against many objectives simultaneously. The performance of ANSDE III was compared against the NSGA III, MOEA/D, and MODE algorithms under several Pareto optimal measurements, where ANSDE III outperformed the others in every metric.

Additive Manufacturing (AM) is becoming the leading innovation in many fields due to its ease in generating a 3D object by adding one layer of material over the other from a source of Computer Aided Design (CAD) model as input file. Fused Deposition Modeling (FDM) is one among the technologies available in AM, which works on material extrusion process for which the material is served in filament shape. The practice of utilizing the resources effectively by meeting the requirements of subsequent generations is internationally referred to as Sustainable Manufacturing (SM). It deals with the issues that impact the economy, society and environment. Green manufacturing approaches like reduce, reuse and recycle theories are linked with 3D Printing. In this paper research has been conducted on the studies of sustainability of the parts produced on FDM for ASTM D638 Type- IV standard tensile test specimen to optimize the process parameters for Acrylonitrile Butadiene Styrene (ABS) material by using Design of Experiments (DOE) through Taguchi technique and Analysis of Variance (ANOVA). The variables considered are print speed, orientation, layer thickness and print temperature and the responses studied are energy consumption, CO2 emission, dimensional accuracy, surface roughness and mechanical properties. The primary aim of this research is to reduce the energy consumption and CO2 emission without compromising mechanical properties, in order to achieve sustainability by finding the optimum values for the input process parameters.

The adoption of supply chain management (SCM) is pivotal in boosting organizational competitiveness and performance. This study examines the relationships among SCM, firm value, company performance, and competitive advantage within the context of micro, small, and medium enterprises (MSMEs) in Surabaya, East Java, Indonesia. Employing a quantitative approach, we analyzed data collected from a sample of 100 MSMEs using SmartPLS to test various hypotheses. The findings indicate that effective SCM significantly influences a firm’s value, performance, and competitive advantage. This study supports the mediating role of firm value by showcasing its robust influence on the relationship between SCM and competitive advantage. However, the mediating role of company performance on competitive advantage appears weaker. The discussion integrates relevant literature, highlighting the pivotal role of SCM strategies in enhancing productivity, fulfilling customer desires, and increasing competitiveness. This study also underscores the critical link between financial performance, value creation, and competitive advantage. Overall, this study contributes to the ongoing development of practical SCM knowledge by providing valuable insights for MSMEs seeking to navigate the challenges of an evolving business landscape.

In the present investigation, a library of 1,8-dioxo-octahydroxanthene derivatives have been synthesised by the cyclo-condensation reaction of aryl aldehyde with two moles of dimedone under solvent free condition in the presence of Novel Pumice supported perchloric acid (Pumice@HClO4) as a less expensive, recyclable, thermodynamically stable and non-toxic catalyst. The significant advantages of this novel protocol are experimental simplicity, easy work-up procedure, good to excellent yields of product and more sustainable as the efficiency of the readily available catalytic material.

This paper investigates the impact of dual phase latency caused by the reflection of plane waves that propagate in a swelling porous thermoelastic medium with an impedance boundary. Two transversal waves (SVS, SVF), a thermal wave (T), and two longitudinal waves (Ps and Pf) propagate with distinct velocities. Reflection coefficients are determined by the incidence of these waves, and energy ratios for reflected waves are calculated and illustrated using these amplitude ratios. In this particular instance, the current model was downsized to an LS model. It has been noted that the energy ratios acquired are significantly influenced by dual phase lag. The results that have been obtained may be beneficial in a variety of engineering problems that are related to structure.