Dynamic scheduling in a multi-product manufacturing system

To remain competitive in global marketplace, manufacturing companies need to improve their operational practices. One of the methods to increase competitiveness in manufacturing is by implementing proper scheduling system. This is important to enable job orders to be completed on time, minimize waiting time and maximize utilization of equipment and machineries. The dynamics of real manufacturing system are very complex in nature. Schedules developed based on deterministic algorithms are unable to effectively deal with uncertainties in demand and capacity. Significant differences can be found between planned schedules and actual schedule implementation. This study attempted to develop a scheduling system that is able to react quickly and reliably for accommodating changes in product demand and manufacturing capacity. A case study, 6 by 6 job shop scheduling problem was adapted with uncertainty elements added to the data sets. A simulation model was designed and implemented using ARENA simulation package to generate various job shop scheduling scenarios. Their performances were evaluated using scheduling rules, namely, first-in-first-out (FIFO), earliest due date (EDD), and shortest processing time (SPT). An artificial neural network (ANN) model was developed and trained using various scheduling scenarios generated by ARENA simulation. The experimental results suggest that the ANN scheduling model can provided moderately reliable prediction results for limited scenarios when predicting the number completed jobs, maximum flowtime, average machine utilization, and average length of queue. This study has provided better understanding on the effects of changes in demand and capacity on the job shop schedules. Areas for further study includes: (i) Fine tune the proposed ANN scheduling model (ii) Consider more variety of job shop environment (iii) Incorporate an expert system for interpretation of results. The theoretical framework proposed in this study can be used as a basis for further investigation

SCADA system for industrial manipulator PLC trainer

In most industrial application, the implementation of SCADA which consists of an HMI, computer system monitoring, data acquisition and processing, and advanced visualization is able to make ease for the industries. It is common to utilize a computer to control an automated system from the microcontroller such as PLC, Arduino and Raspberry Pi. These controllers must be able to receive and analyze signals in any way possible. The main aim of this research is to establish a communication between the Arduino microcontroller and the field device located at the Industrial Trainer for the purpose of data monitoring. This trainer implemented pneumatic based system with the presence of additional field device which is the infrared sensor, ultrasonic sensor and load cell. Then, the Arduino reads the parameter for real-time value for distance, weight, force, pressure from the ultrasonic and load cell sensors and sends the value to the MySQL database through a LAN network. The user interface also receives the input value from the sensors through the serial port communication. The results obtained will validate either the system is reliable or not through the comparison on the accuracy of the live data recorded either it is tally with the data that is exported in excel file result and the data that is stored in database result

Competing risk models in reliability systems, an Exponential distribution model with Gamma prior distribution, a Bayesian analysis approach

This paper is a second paper on the use of Exponential distribution in competing risk problems. The difference is this model is developed using Gamma distribution as its prior distribution. For the cases where the failure data together with their causes of failure are simply quantitatively inadequate, time consuming and expensive to perform the life tests, especially in engineering areas, Bayesian analysis approach is used. This model is limited for independent causes of failure. In this paper our effort is to introduce the basic notions that constitute an exponential competing risks model in reliability using Bayesian analysis approach and presenting their analytic methods. Once the model has been develop through the system likelihood function and individual posterior distributions then the parameter of estimates are derived. The results are the estimations of the failure rate of individual risk, the MTTF of individual and system risks, and the reliability estimations of the individual and of the system of the model

Application of mahalanobis-taguchi system on electrical & electronic industry

Most of Malaysia’s activities in Electrical & Electronic (E&E) Industry more focused in manufacturing industry. The E&E Industry is one of Malaysia’s leading industries that has 24.5 percent in manufacturing sector production. With a rapid expansion of E&E Industry with a continuous innovation, there is no methodological that show the optimization procedure for a process that concern on E&E product in production area. The aim of this work is to develop the optimization parameter for a process of E&E product based on Mahalanobis-Taguchi System (MTS). In methodology, the optimization parameter will develop by using four stages which are construction Mahalanobis Space (MS), validation of Mahalanobis Space (MS), identify the useful characteristic, and predict and future diagnosis. The production in the industry can reduce the rejected product in parameter in a process. Consequently, significant parameters can be identified for E&E product. Keywords: Electrical & Electronic Industry, mahalanobis-taguchi system, optimization

PENGARUH UDARA TERKURUNG DI CHART RECORDER PADA PROSES HYDROTESTING

Berdasarkan pipeline engineering, pipa di analisa memiliki tiga kondisi yaitu kondisi instalasi, hydrotest dan kondisi operasi. Pada saat kondisi tersebut pipa bawah laut sering sekali mengalami beberapa potensi dan bahaya yang mengancam kerusakan pipa dan berakibat pada keberlangsungan proses instalasi, operasi ataupun hydrotest. Apabila hal ini terjadi, maka permasalahan ini dapat meluas pada aspek pemeliharaan dan aspek ekonomis serta lingkungan yang ada disekitarnya. Selain itu, kegagalan pipa juga dapat terjadi karena faktor alam yang berasal dari gelombang, arus dan gempa bumi yang dapat menyebabkan terjadinya scouring, land slide dan soil liquefaction. Sebelum terjadi kegagalan pipa maka perlu melakukan mitigasi yang paling tepat untuk mengurangi adanya kegagalan pipa. Hydrotest itu sendiri disini memiliki peranan yang tidak kalah penting yaitu untuk mendeteksi kebocoran pipa dengan cara menyemprotkan air kedalam pipa

Pengaruh Udara Terkurung Di Chart Recorder Pada Proses Hydrotesting

Berdasarkan pipeline engineering, pipa di analisa memiliki tiga kondisi yaitu kondisi instalasi, hydrotest dan kondisi operasi. Pada saat kondisi tersebut pipa bawah laut sering sekali mengalami beberapa potensi dan bahaya yang mengancam kerusakan pipa dan berakibat pada keberlangsungan proses instalasi, operasi ataupun hydrotest. Apabila hal ini terjadi, maka permasalahan ini dapat meluas pada aspek pemeliharaan dan aspek ekonomis serta lingkungan yang ada disekitarnya. Selain itu, kegagalan pipa juga dapat terjadi karena faktor alam yang berasal dari gelombang, arus dan gempa bumi yang dapat menyebabkan terjadinya scouring, land slide dan soil liquefaction. Sebelum terjadi kegagalan pipa maka perlu melakukan mitigasi yang paling tepat untuk mengurangi adanya kegagalan pipa. Hydrotest itu sendiri disini memiliki peranan yang tidak kalah penting yaitu untuk mendeteksi kebocoran pipa dengan cara menyemprotkan air kedalam pipa

Simulation on effect of preform diameter in injection stretch blow molding

Polyethylene terephthalate (PET) is the most common material of resin for manufacturing plastic bottle by injection stretch blow molding due to its excellent properties. As various issues of health and environmental hazards due to the PET use have risen, PET bottle manufacture may be improved by minimizing the wall thickness to reduce the PET use. One of the critical qualifications of the manufacturing process which lead to the wall thickness distribution is the initial preform diameter. In this project, we used the ANSYS Polyflow with aim to evaluate the wall thickness distribution of PET bottle for different diameter of initial preform. As a result, only 4 mm preform diameter presented wall thickness below than 1 mm. On the other hand, at least 6 mm preform diameter can permit the wall thickness 1.3 mm i.e. at the shoulder area

Design and development of visitor management system

This paper is mainly discussed about the design and develop the Visitor Management System (VMS) as an application that utilised the smart card advantages in University Malaysia Pahang (UMP) Pekan campus. This application is mainly focused on achieving an affordable VMS in UMP Pekan which aim to improve the existing visitor registration and information management activities. In fact, VMS replaces the manual recording of visitor information during visitor registration by using visitor’s Malaysia Government Multipurpose Card (MyKad). The VMS allows retrieving visitor information from MyKad and given a badge which use to indicate their identity when they are new registration visitor. From this study, it shows that the percentage of improvement for new visitor by using VMS is 26% to 54% higher compared to manual recording method whereas the percentage of improvement for existing visitor by using VMS is 86% to 91%. Further research of this study included the implementation on biometric verification method such as fingerprint and face recognition, replaces the current MyKad reader to smart card device with higher reading speed, as well as the notification system to inform the arrival of visitor to the visiting person

Modelling electrical energy consumption in automotive paint shop

Industry players are seeking ways to reduce operational cost to sustain in a challenging economic trend. One key aspect is an energy cost reduction. However, implementing energy reduction strategy often struggle with obstructions, which slow down their realization and implementation. Discrete event simulation method is an approach actively discussed in current research trend to overcome such obstructions because of its flexibility and comprehensiveness. Meanwhile, in automotive industry, paint shop is considered the most energy consumer area which is reported consuming about 50%-70% of overall automotive plant consumption. Hence, this project aims at providing a tool to model and simulate energy consumption at paint shop area by conducting a case study at XYZ Company, one of the automotive companies located at Pekan, Pahang. The simulation model was developed using Tecnomatix Plant Simulation software version 13. From the simulation result, the model was accurately within ±5% for energy consumption and ±15% for maximum demand after validation with real system. Two different energy saving scenarios were tested. Scenario 1 was based on production scheduling approach under low demand situation which results energy saving up to 30% on the consumption. Meanwhile scenario 2 was based on substituting high power compressor with the lower power compressor. The results were energy consumption saving of approximately 1.42% and maximum demand reduction about 1.27%. This approach would help managers and engineers to justify worthiness of investment for implementing the reduction strategies