As in agriculture, fisheries sector faces long list of uncertainty and unsustainability in supply of the products. This is due to the great possibility of natural disaster and moral hazard by the actors in fisheries which lead to the instability of value chain on fisheries commodity from downstream to upstream. Thus, a study must be done in order to explore and minimize the disturbance of the stream of value chain in fisheries. This study aims to investigate the attributes playing big role on affecting value chain cooperation among actors in fisheries commodity in Kei Islands. Data mining is used on the study to determine factors playing major roles in smoothing cooperation in value chain of fisheries commodity, with 220 datasets obtained from actors in fisheries micro-enterprises in Kei Islands taken from August to November, 2019. The result shows that, on average, weights of four data mining techniques; namely support vector machine, fast large margin, logistic regression, naïve bayes and generalized linear model all appear to put management as the leading factor that contributes the most for the cooperation of value chain of fisheries commodity in Kei Islands. This finding implicates that management on all micro-enterprises of fisheries business in Kei Islands has to be the main focus, which is mainly related to basic knowledge on conducting cooperation and maintaining relationship among all actors in fisheries sector, therefore, NGO and local government need to step in and play role on educating all actors for better good governance of the business to obtain the great sustainability in the value chain of fisheries commodity in the region.

The overall objective of this paper is to present a comprehensive comparison between the EOQ model and JIT system to see either of them under which circumstances is more cost effective. There have been a few researchers dealing with the EOQ/JIT comparison model to guide companies whether or not switch to JIT or EOQ, however, their proposed models could be more realistic by taking some effective factors, such as hidden costs of a JIT system, interest rate, inflation rate, etc., into account. This research, by considering some less seen costs of both EOQ model and JIT system, develops the previous proposals of the EOQ/JIT model. This paper analyzes the impact of increasing or decreasing some determinant factors such as the interest rate, from cost perspective, to help the decision on whether or not to switch the inventory system, however, to make such a decision, companies may also take some other factors into account. A sensible link is created between the EOQ/JIT model and financial management to assure the decision makers that their financial concerns are observed in this model.

The major challenge, which the financially insufficient firm tries to overcome, is the uncertain demand during the sales season and the possible bankruptcy due to the lower demand than the initial order quantity. Most traditional studies on the operational decision problem address this challenge by assuming that the retailer has enough capital to procure as many products as necessary. However, small and medium size firms with insufficient capital or even startup companies are generally financially constrained for procuring or producing the product. Thus, to address the financially constrained problem, in this study we model a financially constrained two-level supply chain consisting of a financially-deficient retailer and a bank. In this supply chain, the supplier can sell a product at two wholesale prices to the retailer before and during the sales season, respectively. Then the retailer makes an initial order to the supplier with this loan from the bank and then sells the product to its customers at a selling price during the sales season. Moreover, if the realized demand is more than the initial order quantity, the retailer can make the second order at a higher wholesale price than the initial wholesale price. The analytical results from this model can be summarized as follows: First, the retailer’s optimal initial ordering decision is a non-increasing function of the bank’s decision, interest rate. Second, as the procuring cost through the quick response increases, the retailer’s initial ordering quantity increases and thus the amount of loan from the bank increases. Third, as the retailer’s initial capital increases, the amount of loan from the bank decreases. Forth, the retailer’s initial ordering quantity with the quick response strategy is almost surely less than without the quick response strategy.

Reliability issues are most important types of optimization problems and they are used in communication, transportation and electrical systems. This paper presents two mathematical models to solve the k-out-of-n redundancy problem where there are two objectives: maximization of reliability and minimization of cost subject to two constraints. Constraints are associated with weight and volume. In addition, strategy of redundancy is intended and ready to go cold and the components of the systems are also identical, because the model is to solve the complex models of the genetic algorithm (GA) and simulated annealing (SA). The proposed study uses NSGAII and MOPSO to solve the proposed studies and compare them using TOPSIS method.

This paper demonstrates an experimental scrutiny into turning process of hot work tool steel AISI H21 under dry machining plight. In this paper, face centered central composite design concealed by response surface methodology is practiced and analysis of variance is implemented to analyze the eloquent benefaction of machining parameters on responses. To access accommodate between the surface roughness and the MRR, an approach for concurrent optimization of multi-objective characteristics based on comprehensive desirability function is employed. The multi objective optimization concludes a spindle speed of 1599.568 rpm, feed rate of 0.262 mm/rev and depth of cut of 2 mm.

The study focused on analyzing the impacts of labor migration process on the structural change of the rural labor in Trieu Son District, Thanh Hoa province in Vietnam. With regard to the quantitative and qualitative methods, the study used the survey data from the research “The changes of rural labor composition under the impacts of current labor migration in 2018: A case study in Trieu Son District, Thanh Hoa province in Vietnam”. The results of logit regression analysis showed different factors affecting the structural change of the rural labor including: number of migrant workers, migration time, destination of migrants, occupation, living-condition, number of dependent households in the household.

Vendor managed inventory system is vendor centric inventory system in which all inventory decisions are taken by vendor rather than buyer. This study considers non-instantaneous deteriorating items with generalized type time dependent deterioration rate when demand rate is quadratic function of time and shortages are allowed with partial backlogging. The paper aims to compare traditional inventory system and vendor managed inventory system by analyzing total cost function. To validate the model, numerical example and sensitivity analysis are performed. The analysis shows that vendor managed inventory is more beneficial compare with the traditional inventory system.

This paper increases the understanding of the quality of accounting information systems in emerging economies, using data from Vietnam as an example. The quality of accounting information systems is a measure combining system quality and information quality. It is important to figure out what aspects of this measure are critical for business to enhance firm performance. This research investigates the level of accounting information system quality and examines the relationships between system quality and firm size, information quality and firm size, system quality and business sector as well as information quality and business sector, respectively. We employed descriptive statistics to illustrate the quality of accounting information systems and One-Way ANOVA to test four hypotheses. The descriptive statistics results demonstrate the level of system quality and information quality, in general, is not excellent. And there are differences in system quality and information quality in each business sector groups and firm size groups. The test result highlights a relationship between system quality and firm size but there are no links between information quality and firm size, system quality and business sector, and information quality and business sector. In conclusion, the paper extends the literature of the quality of accounting information systems and assists state agencies and executives to have a framework to improve the business performance as well.

There is an increase in awareness about sustainable manufacturing process. Manufacturing industries are backbone of a country’s economy. Although it is important but there is a great concern about consumption of resources and waste creation. The primary aim of this study was to explore sustainability concern in turning process in an Indian machining industry. The effect of cutting parameters, Speed/Feed/Depth of Cut, the machining environment, Dry/MQL/Wet, and the type of cutting tool on sustainability factors under study were observed. Analysis of Variance (ANOVA) was used to analyse the data obtained from experimentation in a small scale machining industry. The process is modelled mathematically using response surface methodology (RSM).The economic and environmental aspect like surface roughness, material removal rate and energy consumption were considered as sustainability factors. The model helps to understand the effect of the cutting parameters and conditions on surface finish, energy consumption, and material removal rate. The process was optimized for minimum power consumption considering environmental concern as prime importance. Studies suggest that the cutting environment and tool type influenced on the power consumption during turning process. Extended form of the proposed model could be useful to predict the environmental impact due to machining process, which would bring environmental concern into conventional machining.

The objective of this paper is to study how to improve the financial performance of Vietnamese tourism and travel enterprises through audit tools. The study was conducted on 228 tourism and travel enterprises in Vietnam over a period of 1 year. The results show that quality of audit could improve the financial performance of tourism and travel enterprises in Vietnam. This relationship, however, was not a full mediate relationship, but audit quality still had a strong impact on capital access, customer loyalty, employee satisfaction and corporate reputation. Nevertheless, the two mediate factors that access capital and employee satisfaction did not have any statistically significant impact on financial performance.