Journal of Management Science & Engineering research
EISSN : 2630-4953
Published by: Bilingual Publishing Co. (10.30564)
Total articles ≅ 44
Latest articles in this journal
Published: 29 September 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i2.3707
Expansive soils undergo high volume change due to cyclic swelling and shrinkage behavior during the wet and dry seasons. Thus, such problematic soils should be completely avoided or properly treated when encountered as subgrade materials. In the present study, the biomedical waste incinerator ash and lime combination was proposed to stabilize expansive soil. Particle size analysis, Atterberg limits, free-swell, compaction, unconfined compression strength, and California bearing ratio tests were conducted on the natural soil and blended with 3%, 5%, 7%, 9%, and 11% biomedical waste incinerator ash (BWIA). The optimum content of BWIA was determined based on the free-swell test results. To further investigate the relative effectiveness of the stabilizer, 2% and 3% lime were also added to the optimum soil-BWIA mixture and UCS and CBR tests were also conducted. In addition, scanning electron microscopy (SEM) tests for representative stabilized samples were also conducted to examine the changes in microfabrics and structural arrangements due to bonding. The addition of BWIA has a promising effect on the index properties and strength of the expansive soil. The strength of the expansive soil significantly increased when it was blended with the optimum content of BWIA amended by 2% and 3% lime.
Published: 24 August 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i2.3261
Demand forecasting and big data analytics in supply chain management are gaining interest. This is attributed to the wide range of big data analytics in supply chain management, in addition to demand forecasting, and behavioral analysis. In this article, we studied the application of big data analytics forecasting in supply chain demand forecasting in the automotive parts industry to propose classifications of these applications, identify gaps, and provide ideas for future research. Algorithms will then be classified and then applied in supply chain management such as neural networks, k-nearest neighbors, time series forecasting, clustering, regression analysis, support vector regression and support vector machines. An extensive hierarchical model for short-term auto parts demand assessment was employed to avoid the shortcomings of the earlier models and to close the gap that regarded mainly a single time series. The concept of extensive relevance assessment was proposed, and subsequently methods to reflect the relevance of automotive demand factors were discussed. Using a wide range of skills, the factors and cofactors are expressed in the form of a correlation characteristic matrix to ensure the degree of influence of each factor on the demand for automotive components. Then, it is compared with the existing data and predicted the short-term historical data. The result proved the predictive error is less than 6%, which supports the validity of the prediction method. This research offers the basis for the macroeconomic regulation of the government and the production of auto parts manufacturers.
Published: 24 August 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i2.3242
Forecasting is predicting or estimating a future event or trend. Supply chains have been constantly growing in most countries ever since the industrial revolution of the 18th century. As the competitiveness between supply chains intensifies day by day, companies are shifting their focus to predictive analytics techniques to minimize costs and boost productivity and profits. Excessive inventory (overstock) and stock outs are very significant issues for suppliers. Excessive inventory levels can lead to loss of revenue because the company's capital is tied up in excess inventory. Excess inventory can also lead to increased storage, insurance costs and labor as well as lower and degraded quality based on the nature of the product. Shortages or out of stock can lead to lost sales and a decline in customer contentment and loyalty to the store. If clients are unable to find the right products on the shelves, they may switch to another vendor or purchase alternative items. Demand forecasting is valuable for planning, scheduling and improving the coordination of all supply chain activities. This paper discusses the use of neural networks for seasonal time series forecasting. Our objective is to evaluate the contribution of the correct choice of the transfer function by proposing a new form of the transfer function to improve the quality of the forecast.
Published: 4 August 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i2.3336
Brazilian public managers have been structuring and updating policies to support workers’ employment and income strategies. However, when the vulnerable individual has social, emotional, or technical limitations, success in this operation becomes uncertain. This research aim was to propose a methodology to identify profiles in vulnerable populations, viewing to promote the efficient elaboration of employment and income strategies. The unit of analysis was vulnerable population of waste pickers, in a large city from South Brazil, in the scope of a municipal program named "All of us are Porto Alegre". A literature review allowed the identification of tools from marketing, economy and design adequate to profile analysis. A workshop with social educators responsible for giving support to the individuals. Insights from workshop and the literature allowed the proposition of a methodology including cluster analysis and the creative tool named personas. The methodological approach suggests it is adequate in confirming the differences in profiles. The theoretical contribution lies in the use of quantitative-creativity tools to support policymaking. The practical contribution is to provide consistent information for governmental decision-making at the labor access market.
Published: 6 May 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i2.3300
PV plants are increasing all over the world and they are becoming a distinct part of electric grids. Due to abundance of solar irradiation and almost constant amount of it in certain geographical latitudes, selection of proper capacity of PV plants depends mostly on available places for the site. in this paper, important measures for safe connection of a PV plant in terms of voltage requirements are addressed and several guidelines are introduced for this purpose. In addition, simulation results are included to prove some of the mentioned suggestions. a general algorithm is finally proposed to show the directions for safe connection of PV plants.
Published: 6 May 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i2.2946
This paper evaluates accommodation of conflict management strategies and board performances in oil and gas sector. The study detail the reflection of effectiveness, efficiency and productivity as the answer to thorough effectiveness in accommodation of conflict management in oil and gas sector, these parameters in the system express their efficacy on conflict management in these multinationals, this implies that for thorough efficiency, these variables must work simultaneously for effective and efficient in structural organization that can be a leading multinational sector in oil and gas environment. The study observed Linearized result from graphical representation explaining predominant lower efficiency and little higher efficiency in accommodation of conflict management in oil and gas companies. These experiences from the study monitor the system from generated simulation values that describe the growth rates in exponential phase of accommodation conflict strategic management. Despite exponential phase the results experienced lower parameters, when comparing on it variations showing its poor efficiency as observed in the study. Few periods observed higher effective accommodation on conflict strategic management. The developed model stimulation values were subjected to validation and both parameters generated favourable fits correlation, the study expressed the deficiency on accommodation of conflict management strategy thus developed models that can monitor the fluctuation and progressive state of accommodation conflict management strategy, it defines the reflection of other parameters that express the behaviour of the system in terms of conceptual approach to monitor these type of strategic management in oil and gas companies.
Published: 6 May 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i2.3166
This research work was intended to analyze the unleashed issues related to apparel trade during COVID-19 pandemic & made an attempt to find the best possible responses to uphold marketing campaigns during & after the pandemic situation. Apparel industries in Asia, the largest global hub of both the textile & apparel import-export trade have been severally damaged by the COVID-19. Over the last one year, the global community had already realized the fact that how pandemic situation disrupted the supply chain management of textile, apparel & fashion manufacturing industries throughout the world. Bangladesh, one of the top ranked garments exporter countries have been facing the burning bridges, due to the scarcity of raw materials & gradual cancelation export orders. The contribution of the apparel industry is more significant for the socio-economic growth of a 3rd world countries like Bangladesh, just because apparel contributes almost 84% of its total export income with the involvement of 4.5 million people approximately. The following research paper conveys a three-fold story. In the very beginning portion, there are some reviews & analysis of the overall scenarios of the COVID-19 pandemic with presence of several business reports, academic journals, market research, manufactures' opinions & stakeholders' strategies. The second phase of the research work forecasts the possible responses need to be projected during & after the pandemic situation. Finally, this study predicts an ideal foot print to cope up with similar sort of situations in future.
Published: 6 April 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i1.2714
New Normal becomes the way out to keep Indonesia's weakened economy because of covid-19 pandemic stays in balance. Of course, New Normal must be well-balanced with the application of strict protocols to reduce transmission rates and anticipate a surge in new cases. From a few points of pandemic protocols, using face mask is considered as the most-effective basic need. Re-designing the mask is aiming at eliminating the worsening feature and developing the improving feature. This research is developing the widely used 1-ply mask, which doesn't meet WHO standard regarding cloth-material mask that must be made in 3-ply. The method used in this research is TRIZ (Teoriya Resheniya Izobreatatelskikh Zadatch), an inventive problem solving theory to the issues regarding ideas, products, or concepts, in this case is face mask redesigning concept. In this research, the data are collected by doing library research to obtain secondary data that will be processed in qualitative and quantitative methods. The results shows the aspects that should be eliminated from cloth-material face mask are brittle for being easily damaged, short period of usage, and non-reusable. After the redesigning concept is carried out using the principles and features of TRIZ method, some aspects such as weight, material, design, and functionality are developed. The result is a relatively light weight face mask because the using of PLA+ filament-based material with good durability and environmentally friendly. This design has longer period of usage, and user only needs to replace the additional inserted tissue every 4 hours. The researchers hope that the new design can be further developed by government to deal with New Normal and other possibilities in the future.
Published: 6 April 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i1.2854
This article explains the execution and delivery progression phases of the project lifecycle. It is the third phase of the project lifecycle that leads to the final realization of the project's goals. However, this essay will describe the understanding of the ‘enlightened planning’ approach during the execution and delivery strategy progress of a project’s lifecycle. The features and details in the Enlightened Planning and PMI PMBOK Guide are compared. The author explored the nature and role of basic frameworks such as the project lifecycle, the process phase structure, and key project definition questions — the seven Ws (Who, Why, What, Which way, Wherewithal, When, Where). Combining Enlightened Planning and PMI PMBOK Guide, the differences between the two approaches are given. In addition, the author elaborated the advantages and disadvantages of the two approaches in current practice.
Published: 6 April 2021
Journal of Management Science & Engineering research, Volume 4; https://doi.org/10.30564/jmser.v4i1.2769
A buttress on the need for welfare program in Nigeria and the important obligation to consider the Economics’ and CIA’s contextual position for the dependency ratios, both total and elderly dependency ratio alongside the consideration of the age structure and demography statistics of Nigeria relatively to other economies, particularly as an elixir for the declining older population in Nigeria and the aged male contraction in the nation. Although, older female population is higher in every country as obtainable globally, the Nigerian case is that of drastic contraction in both aged male and older population generally. Therefore, the submission is that the government has to consider total dependency ratio to the elderly dependency ratio, which is all-encompassing in order to cater for the declining older population and to appropriate the requisite welfare cum benefits programs in the nation.