2011),"Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach"If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.
All manufacturing industries need to perform a continuous efforts to survive in the current competitive and challenging market. In order to manage the critical situation, the stakeholders are trying to implement the most recent and innovative technique to the production system. The aim is to attain effective and efficient. One important step to reach efficient working process is by understanding wastes occurred along the production line and try to reducing their presence. Lean manufacturing approach is one of the powerful philosophies to guide a company to improve their quality, by providing varieties of tools and strategies. This approach is able to help company in many sectors, such as identification and elimination of waste, better quality of product and service, lowering the production cost, reducing the human effort and the production process time. In this study, a small industry was chosen as the object of the research. The aim of the research is to identify waste that occurs in the production using waste assessment model then solve the problem and determine the value added activity in the whole production process of cake using value stream mapping. Based on the analysis, it can be concluded that based on the current state value stream mapping, the value of the process cycle efficiency is only 28.49% which is still relatively un-lean. From the overview is also identified the departments that were subjected to the identification are the emergence of goods WIP (work in process), the amount of finished goods inventory, and long lead time. After using PAM, it is known that the whole process of making cake consisted of 28.49% of time spent on value-added activities, 3.35% non-value-added activities, and the rest for necessary but non value added activity. This study has proposed schedule for the Green-bean-filling`s department. This proposed schedule is able to increase the process cycle efficiency to 41.36%. Keyword: lean manufacturing, waste identification, waste assessment model, value stream mapping
Abstract:The Laboratory-Based Education (LBE) model has been implemented by the majority of universities in Japan and has been proved to generate research, patents, and publications both nationally and internationally. Another indicator of success in Japanese LBE is seen in the independent research skills of the students. Data collected through this study shows that the Indonesian university under study (referred to as the 'research object'), still experiences a number of problems commonly faced by higher education in Indonesia; for instance, the low number of students who graduate on time, and the lack of research and research publications. These issues can be a barrier to achieving world class recognition and also influence the accreditation of the institution. This paper presents a revised layout of the environment in the research object which it is believed will help in the implementation of LBE. Changing the layout of laboratories to support LBE can accommodate the needs of final year students and assist them to focus on their final project. Benefits for academics include increased opportunities to generate publications and patents from projects with their students.
Residential electricity demand can be influenced by the behavior of users. Therefore, it is essential to know users’ behaviors to reduce electricity consumption or for energy saving. This research aims to analyze users’ behaviors concerning the use of light-emitting diodes (LED) lamps in the residential sector in Makassar, Indonesia. Moreover, the drivers of users’ behaviors in terms of usage and habitual behavior are also identified by two composed regression models. Some options for both models were compared by using statistical tests to get better models. A questionnaire was developed, and the survey was done on respondents that have 900 VA and greater of installed power capacity in their homes to get data for analysis. The main finding of this research shows that the user’s perception of energy saving was quite good. Both proposed models, namely LED usage model and habit model, were well §validated with R adj 2 a value above 39% for both models. Six considered variables can explain usage behavior better than the habit of users. Among the significance variables, the factor of the technology aspect has the highest effect on the usage of LED lamps and the general perception factor for the user’s habit. Presented results may give useful information in designing programs for consumers in Makassar, such as energy conservation programs or home energy management systems.
Determining factors of Indonesian green products’ buying intention was an objective in this study. This research obtained primary data through a questionnaire-based survey with the target respondents were people who visited a supermarket in a city in Indonesia. A hundred responses were usable from 110 questionnaires distributed during data collection. Results showed that the regression model was well-validated, with an Adjusted R2 of 0.602. Two significant predictor variables of the Indonesian green products’ buying intention were identified, i.e. the manufacturer’s environment-related commitment, and the manufacturer’s green product information.
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