Showing 7 results for Das
Shadan Sadighbehzadi, Zohreh Moghaddas, Amirreza Keyghobadi, Mohsen Vaez-Ghasemi,
Volume 29, Issue 4 (IJIEPR 2018)
Abstract
Natural disasters and crisis are inevitable and each year impose destructive effects on human as injuries and damage to property. In natural disasters and after the outbreak of the crisis, demand for logistical goods and services increase. Effective distribution of emergency aid could have a significant role in minimizing the damage and fatal accident. In this study, a three-level relief chain including a number of suppliers in fixed locations, candidate distribution centers and affected areas at certain points are considered. For this purpose a mixed integer nonlinear programming model is proposed for open transportation location routing problem by considering split delivery of demand. In order to solve a realistic problem, foregoing parameters are considered as fuzzy in our proposed mode. The objectives of the proposed model include total cost minimization, minimization of the maximum travel time of
vehicles and minimization of unmet demands. In order to solve the problem of the proposed model, fuzzy multi-objective planning is used. For efficiency and effectiveness of the proposed model and solution approach, several numerical examples are studied. Computational results show the effectiveness and efficiency of the model and the proposed approach.
Bhanudas Bachchhav,
Volume 32, Issue 1 (IJIEPR 2021)
Abstract
The present work aims to investigate Abrasive Water Jet Machining parameters for machining of Al-Al2O3 Metal Matrix Composite. Plan of experiments, based on Taguchi’s analysis technique were performed using L9 orthogonal array. A correlation was established between concentration of Al2O3, Stand-off distance, pressure and Transverse feed with Metal Removal Rate, Surface Roughness, Over-cut and Taper angle by regression analysis. On the basis of experimental results and S/N ratio analysis, ranking of the parameters has been done. The analysis of variance (ANOVA) has been used to find out the impact of individual parameters on response parameters. Al2O3 concentration plays a very significant role in determination of MRR and surface roughness. Also overcut is largely influenced by stand off distance. Furthermore, multi-objective optimization can be carried out using advanced optimization techniques. This work helped to generate technical database for industrial applications of MMC.
Bhagwan Kumar Mishra, Anupam Das,
Volume 32, Issue 4 (IJIEPR 2021)
Abstract
The article highlights the development of a Non-Gaussian Process Monitoring Strategy for a Steel Billet Manufacturing Unit (SBMU). The non-Gaussian monitoring strategy being proposed is based on Modified Independent Component Analysis (ICA) which is a variant of the widely employed conventional ICA. The Independent Components(IC) being extracted by modified ICA technique are ordered as per the variance explained akin to that of Principle Component Analysis (PCA). Whereas in conventional ICA the variance explained by the ICs are not known and thereby causes hindrance in the selection of influential ICs for eventual building of the nominal model for the ensuing monitoring strategy. Hotelling T2 control chart based on modified ICA scores was used for detection of fault(s) whose control limit was estimated via Bootstrap procedure owing to the non-Gaussian distribution of the underlying data. The Diagnosis of the Detected Fault(s) was carried out by employment of Fault Diagnostic Statistic. The Diagnosis of the Fault(s) involved determination of the contribution of the responsible Process and Feedstock characteristics. The non-Gaussian strategy thus devised was able to correctly detect and satisfactory diagnose the detected fault(s)
Dyah Gandasari, Diena Dwidienawati, David Tjahjana, Mochamad Sugiarto, M Faisal,
Volume 33, Issue 2 (IJIEPR 2022)
Abstract
The dynamic among farmer institutions has essential problems to be addressed, especially regarding the pattern and process of communication interactions developing farmer institutions. Therefore, an assembly of agribusiness information within the communication network of the farmer group is of primary interest for our study. This study aims to analyze the agribusiness network structure of beef cattle farmer groups in Subang Regency, West Java, Indonesia. The Social Network Analysis (SNA) used for discovering communication network structure. Data was collected through interviews using a questionnaire. The census method was used for the sampling technique and UCINET 6 used to analyze the data. The results of the study show: 1) The degree centrality and net draw illustrate the head of farmer groups still plays a role as a source of information for their members even if members can access 1-3 other sources, 2) The closeness centrality average is still high and approaching its maximum. The limitation of this study is that only in quantitative approach. Therefore, it is recommended to conduct further research in a qualitative approach to further analyze the roles play in the networks that can be considered in increasing group social capital.
Hardijanto Saroso, Diena Dwidienawati, David Tjahjana, Dyah Gandasari, M Faisal,
Volume 33, Issue 3 (IJIEPR 2022)
Abstract
This research paper aims to examine the impact of the COVID-19 pandemic on consumer behaviour and the strategic adjustment implemented by small to medium-size businesses. Consumer behaviour has been altered. It has made organizations react to survive. To understand emerging consumer behaviour, and how organizations mitigate the changes in the environment, a qualitative study on small to medium size business owners was conducted in October-November 2020. An intensive 60-minute, semi-structured interview was conducted with 23 business owners in Jakarta and its surrounding cities. The findings revealed that there are positive and negative impacts of the COVID-19 pandemic on business depending on the industry type. The type of industry also influenced the scale of the effect. Regardless of the impact, most business owners were optimistic about their businesses surviving. Consumer behaviour changed to involving less human interaction, for example going online, and people became more cost-conscious. Business owners mitigated the change with a change in the type of products offered, offering promotions or price reductions and online access. From the business owners' perspective, some of the new behaviour will remain after the pandemic, whilst others will revert to the old behaviour. Those that offer convenience and simplicity will stay.
Laila Refiana Said, Zainal Arifin, Meldasari Said,
Volume 34, Issue 2 (IJIEPR 2023)
Abstract
Numerous studies have examined the increasing number of virtual team communication usage, especially during the Covid-19 pandemic. However, little research has been conducted on the factors affecting its effectiveness in improving task performance, seeing the virtual team's rapid development today. Therefore, this study examines the effect of direct and indirect employee preferences and organizational support on task performance through virtual teamwork communication. The research method used was a survey of 156 employees in the fields of education, telecommunications, transportation, and health in Banjarmasin city, who work from home, interact with colleagues who also work from home, and with colleagues who work in the office. The analysis was carried out using path analysis. The results showed that employee preferences and organizational support directly affected task performance. Virtual team communication can mediate the influence of employee preferences and organizational support on task performance. The research implies that virtual team communication that runs well can improve work performance. Therefore, it requires collaborative support, both from individuals and the organization.
Ebaa Dasan Barghouthi,
Volume 35, Issue 2 (IJIEPR 2024)
Abstract
The patient has a legitimate role in evaluating the healthcare services provided to them; this evaluation can be measured through patient satisfaction, which is considered an effective tool to evaluate the provided services and the quality program for hospitals. This study aims to examine the association between patient satisfaction and hospital accreditation status. Cross-sectional design with a random sampling technique for adult hospitalized patients. The SERVQUAL instrument was utilized to measure the patient's satisfaction. The sample size included 800 patients from the two phases based on the inclusion and exclusion criteria. The obtained data was analyzed using SPSS version 26. The study revealed that patient satisfaction was high both before and after accreditation. The order of the patient satisfaction dimensions was as follows: assurance, reliability, tangibles, responsiveness, and empathy. The highest subscale in this phase was assurance, with a mean of (4.49), and the lowest score was empathy, with a mean of (4.25). In the pre-accreditation phase, reliability was the highest subscale, with a mean of (4.46), and the lowest score was responsiveness, with a mean of (4.13). In addition, the study revealed that there is an association between the satisfaction subscales (tangibles, responsiveness, and assurance) and accreditation status, except for reliability and empathy. The study concludes that the high level of satisfaction in the post-accreditation phase may relate to the high level of patient care standards and safety environment implemented in the hospital as requirements of accreditation, which gives evidence that the hospital accreditation status had a positive impact on patient satisfaction.
