cover
Contact Name
Indar Sugiarto
Contact Email
chief-editor@jirae.org
Phone
+6282139203291
Journal Mail Official
chief-editor@jirae.org
Editorial Address
Institute of Research and Community Outreach Petra Christian University Siwalankerto 121-131, Surabaya - Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
International Journal of Industrial Research and Applied Engineering
ISSN : -     EISSN : 24077259     DOI : 10.9744/jirae
JIRAE is a peer-reviewed international journal providing a medium for the academic and industrial community to share cutting-edge research and development in various aspects of industrial technology and applied engineering. The objectives are: to encourage research work in the field of industrial technology and applied engineering among scientists, researchers, engineering practitioners, and industrial experts to improve efficiency, reduce costs, and generate high-quality products / services; to promote the adoption and development of comprehensive and state-of-the-art technologies for enterprises and industries; and, to bridge the theoretical and practical gap between academia and industry, and advocate collaboration to address enterprise and industry challenges.
Articles 24 Documents
From Adaptive Reasoning to Cognitive Factory: Bringing Cognitive Intelligence to Manufacturing Technology Sugiarto, Indar; Axenie, Cristian; Conradt, Jörg
International Journal of Industrial Research and Applied Engineering Vol 1, No 1 (2016)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1186.697 KB) | DOI: 10.9744/JIRAE.1.1.1-10

Abstract

There are two important aspects that will play important roles in future manufacturing systems: changeability and human-machine collaboration. The first aspect, changeability, concerns with the ability of production tools to reconfigure themselves to the new manufacturing settings, possibly with unknown prior information, while maintaining their reliability at lowest cost. The second aspect, human-machine collaboration, emphasizes the ability of production tools to put themselves on the position as humans? co-workers. The interplay between these two aspects will not only determine the economical accomplishment of a manufacturing process, but it will also shape the future of the technology itself. To address this future challenge of manufacturing systems, the concept of Cognitive Factory was proposed. Along this line, machines and processes are equipped with cognitive capabilities in order to allow them to assess and increase their scope of operation autonomously. However, the technical implementation of such a concept is still widely open for research, since there are several stumbling blocks that limit practicality of the proposed methods. In this paper, we introduce our method to achieve the goal of the Cognitive Factory. Our method is inspired by the working mechanisms of a human?s brain; it works by harnessing the reasoning capabilities of cognitive architecture. By utilizing such an adaptive reasoning mechanism, we envision the future manufacturing systems with cognitive intelligence. We provide illustrative examples from our current research work to demonstrate that our proposed method is notable to address the primary issues of the Cognitive Factory: changeability and human-machine collaboration.
Application of Genetic Algorithm on Spare Part Automotive Body Scheduling -, Rendy; Maukar, Anastasia Lidya; Silitonga, Arthur
International Journal of Industrial Research and Applied Engineering Vol 1, No 1 (2016)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.469 KB) | DOI: 10.9744/JIRAE.1.1.25-32

Abstract

Job shop scheduling is one of the complex problems in the manufacturing industry, such as an automotive body manufacturer. This manufacturing company, located in Cikarang, Indonesia, deals with huge customer demand that leads to difficulties in production scheduling. This will cause a delay in some jobs and product deliveries. The current system is using the semi-active scheduling approach and requires 637 minutes for performing 6 jobs with 5 machines. The genetic algorithm (GA) model is proposed as an alternative solution to solve this problem. The GA parameter is set as follow: The population size expected is 30 with maximum generation can be produced in amount of 50. The crossover rate, mutation, and preservation are set to 0.3, 0.1, and 0.1, respectively. After 50 generations are obtained, the optimum solution is shown in generation 6 with a makespan of 597 minutes. Thus, the genetic algorithm model is effectively reducing the makespan of the job-shop scheduling problem by 10% compared to the current method applied at the company.
Optimization of Units Movement in Turn-Based Strategy Game Purba, Kristo Radion; Liliana, Liliana; Pranata, Johan
International Journal of Industrial Research and Applied Engineering Vol 1, No 1 (2016)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.118 KB) | DOI: 10.9744/JIRAE.1.1.33-37

Abstract

Each game has an artificial intelligence that is used to fight the player, which will provide more challenge. But in some strategy games, unit movements are usually done using simple considerations. For example the rest of unit lives, unit strength, and so forth. In this study, a turn based strategy game is designed using genetic algorithm to control the movement of the enemy armies.In each turn, the enemy will move based on the potential level of produced damage to and from the opponent, the distance between the units, and the distance to the opponent?s building. The genetic algorithm?s chromosome for each unit contains the following information: the position where the unit will move, who is the target, and the distance to the armies? centroid. Distance to centroid (midpoint) is used to force the units to remain in the set. The genetic algorithm process is used to control when and where the units will move or attack. From the test results, the genetic algorithm can create a more powerful enemy than the randomly moving enemy because it creates a higher winning chance of enemy units and acts more efficiently, in terms of the usage of money, the damage produced to the opponent, and the received damage.
Investigation on Biomass Briquette as Energy Source from Waste Leaf Cerbera Manghas Anggono, Willyanto; Suprianto, Fandi D.; Sutrisno, Sutrisno; Kasrun, Andreas W.
International Journal of Industrial Research and Applied Engineering Vol 1, No 1 (2016)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.448 KB) | DOI: 10.9744/JIRAE.1.1.11-14

Abstract

Indonesia is a tropical country and has abundant varieties of plants but has not been utilized to the fullest. One of the plants that are often encountered in the community is Cerbera manghas. Cerbera manghas is known as one of the trees that have solid roots; thus, it is widely used for adding greenery both on the roadside and the residential areas of Surabaya. Although beneficial for shade and the reduction of air pollution in urban areas, waste from the leaves of this plant become a serious issue for the cleanliness of the city. Organic solid waste that comes from the falling leaves have the potential to be used as a solid fuel alternative in the form of briquettes when processed appropriately. This study aims to investigate the potential of Cerbera manghas leaves waste to be used as raw material of biomass briquettes with tapioca as a binder, to evaluate the property of the resulted briquettes using ultimate analysis, proximate analysis, and also to find the effect of the composition of tapioca to the heating value of the biomass briquettes. Heating values ??of five mixtures with various tapioca compositions of 10%, 20%, 30%, 40%, and 50% were evaluated using an oxygen bomb calorimeter. The experimental results showed that the biomass briquettes made of Cerbera manghas leaves waste can be made using tapioca as a binder. The greater the percentage of the mass of tapioca in the briquettes, the lower heating value generated. Biomass briquettes made of Cerbera manghas leaves waste can be made into a source of sustainable energy with the optimal composition of 90% waste leaves and 10% tapioca.
Desigining an Integrated Product and Process Layout Using a Simulation: The Case of Plastic Bag Company Tanutomo, Naomi Melina; Octavia, Tanti
International Journal of Industrial Research and Applied Engineering Vol 1, No 1 (2016)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.966 KB) | DOI: 10.9744/JIRAE.1.1.15-24

Abstract

This paper proposed an integrated product and process layout for optimizing process plant layout using a simulation approach. The proposed layout was compared to the existing layout in terms of the average work-in-process and the average waiting time of work-in-process. Currently, the plastic bag company uses process layout for its production facility layout and the activity of material movement is conducted in a batch fashion. In the proposed layout, product layout was utilized for two of six processes and process layout was utilized for the rest. Product layout changed material movement from batch into one piece flow with material handling conveyor. Software ProModel 7.0 was run in 1 year run-time with 10 replications. The simulation results show that the proposed layout reduces the average work-in-process and work-in-process waiting time in warehouse inspection by 97.92% and 96.82%, respectively. The proposed layout eliminates 47.42 minutes of the average waiting time in welding cutting temporary storage area.
Building APMv3 Map Visualization Using Nagios Host Data Tiono, Hans Sebastian; Oosterkamp, Jelle; Peperkamp, Tom
International Journal of Industrial Research and Applied Engineering Vol 1, No 1 (2016)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.237 KB) | DOI: 10.9744/JIRAE.1.1.38-45

Abstract

Nowadays, having a network monitoring is becoming an important thing for a growing or big company which should also have a network infrastructure inside it. Network monitoring is the use of a system that constantly monitors a computer network for slow or failing components and that notifies the network administrator in case of outages. Acknowledge Proactive Monitoring (APM), one of the sub-departments in Acknowledge, focuses on developing a network monitoring system using the Nagios tool. However, one of its main features called Map Visualization is not really efficient in terms of its map management. The current stable version of the system is called APMv2 and the team is developing a new version called APMv3 which needs a better Map Visualization. The application made in this project was a proof of concept that will later be used on APMv3. It is a web-based application which has a separate frontend written in HTML and JavaScript, has a separate RESTful backend written in PHP, and uses some frameworks such as jQuery UI, jCanvas, Twitter Typeahead, and Bootstrap 3. All necessary data within this application are exchanged asynchronously using AJAX. 
Knowledge Sharing in Closed-Loop Supply Chain Management Gan, Shu-San
International Journal of Industrial Research and Applied Engineering Vol 2, No 1 (2017)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.809 KB) | DOI: 10.9744/JIRAE.2.1.1-7

Abstract

In the recent decades, closed-loop supply chain has been studied extensively due to the increased concern on sustainable development. It integrates forward and reverse flows where the collaborative supply chain takes place. Knowledge management is one important part of an organization that can improve the effectiveness of the processes within the organization. Knowledge sharing is significant in a collaborative supply chain since it affects the organizational performance and competitive advantage. The complexity in closed-loop supply chain can be managed better by encouraging knowledge sharing among the supply chain members. This paper presents a conceptual framework to implement knowledge sharing in a closed-loop supply chain management, for improving the CLSC members? performance. The success factors have been identified, and a framework has been presented, it consists of knowledge flows, management aspect and socio-technical aspect.
Optimal Inventory Policy for Stochastic Demand Using Monte Carlo Simulation and Evolutionary Algorithm Widyadana, I Gede Agus; Tanudireja, Alan Darmasaputra; Teng, Hui Ming
International Journal of Industrial Research and Applied Engineering Vol 2, No 1 (2017)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.357 KB) | DOI: 10.9744/JIRAE.2.1.8-11

Abstract

Research on inventory models has been conducted intensively, including the model for stochastic demand. However, inventory models for stochastic demand are not easy to solve using an exact algorithm. In this paper, we develop a Monte Carlo simulation method to solve inventory problems with stochastic and intermittent demand. Simulation is conducted to evaluate continuous and periodic review policies. The simulation models are optimized using the evolutionary algorithm. The models are applied to data from one bicycle shop in Indonesia for five different items. The result shows that the economic order quantity (R,Q) policy is better than the (s,S) policy for two items and it is better than the (S,T) policy for three items.
Design of Supporting Material Warehouse Management System at PT XYZ Rahardjo, Benedictus; Surya, Danielle
International Journal of Industrial Research and Applied Engineering Vol 2, No 1 (2017)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.215 KB) | DOI: 10.9744/JIRAE.2.1.12-19

Abstract

This study has been done to create a system and standard to control the warehouse and also make it easier to find tools. The warehouse is full and finding tools is difficult because there is no regulation to control how the warehouse works. This research uses direct observation in the field, and interviews with the department related to supporting tool warehouses. The results of the observations is the organization of a new management system in the form of Standard Operating Procedure (SOP), rules, and a new layout for tools. Based on the existing SOP, stock cards and material, a  parent table is made for controlling tools in the warehouse. Controlling is carried out with aim that the warehouse works according to its SOP and eliminates current problems.
A Missing Link on Entrepreneurship Education Curricula Widiawan, Kriswanto
International Journal of Industrial Research and Applied Engineering Vol 2, No 1 (2017)
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (15.703 KB) | DOI: 10.9744/JIRAE.2.1.20-24

Abstract

Indeed, there are many failure cases in entrepreneurs? life. The psychological effects of business failure may produce shame and dysfunctional behavior responses. Do the entrepreneurs consider about the potential of shame they face? Do entrepreneurship education institutions pay attention to business closing as well as its impact to entrepreneurs? identity?  This research explored the curricula of 66 top business schools which have entrepreneurship specialization. There was a course category, namely self-development, which is important for entrepreneurs to build their mental, self-leadership, self-awareness, self-image, etc. Unfor­tunately, from 2908 courses offered, only 12.76% courses were related to entrepreneurship and 0.79% courses to self-development issues. The curricula were dominated by business knowledge and business skills. There was a missing link, i.e., ?when the business goes wrong?, how to cope with failure, how to overcome shame, guilt, depression, stress, etc. In conclusion, there were lacks of self-development courses in the entre­preneurship education programs. This paper recommends to prepare the students to anticipate and overcome the shame by adding more psychological-related courses in the curriculum.

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