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A Comprehensive Optimization Approach Based on Cloud Computing for Logistic Sharing System Planning
I Gusti Ayu Purnamawati,Atheer Y. Oudah,Hasbullah Bin Othman,Irwan Bin Ibrahim,A. Heri Iswanto,Aan Komariah,Afanasiy Afanasievich Sergin,Imanuddin Hasbi,Yasser Fakri Mustafa 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
Due to the global size of the production space and a large number of suppliers and service recipients, sequencing op-erations and logistics are very important in achieving optimal production system performance, reducing costs and reducing time. Since, in the cloud manufacturing space, each of the production activities of a product can be assigned to different resources in different places, logistics services are needed to communicate between these resources. Thus, the study aims to propose a model for a comprehensive optimization approach based on cloud computing for logistic sharing system planning. Given the results, regarding both operational services and logistics services in the cloud manufacturing system, in addition to the optimal allocation of activities and logistics services, it is possible to plan and schedule the sequence of operations and logistics to minimize the total cost of the cloud production system. Stud-ies are also being conducted on sharing logistics systems in the cloud.
Tua Halomoan Harahap,Ngakan Ketut Acwin Dwijendra,Sulieman Ibraheem Shelash Al-Hawary,A. Heri Iswanto,Noor Mohammed Ahmed,Yousra Mahdi Hasan,Saad Ghazi Talib,Purnima Chaudhary,Yasser Fakri Mustafa 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
The traveling salesman problem is one of the most well-known hybrid optimization problems. It is one of the (NP-complete) problems that its various applications have theoretically and operationally attracted the attention of re-searchers. Given that the existing optimization methods to solve such problems include many variables and constraints and reduce their practical efficiency in solving problems with larger dimensions, we have seen the use of algorithms in recent decades. In this research, after determining a linear programming model for the asylum seeker problem with asymmetric distances and solving it in Lingo software, I used two ant cloning algorithms and a forbidden search algorithm to solve the problem in large dimensions. By adjusting the parameters of the two algorithms using the Taguchi method to prove the efficiency of the two algorithms, we compared their results by solving the linear programming model in small-dimensional problems. Then, to compare the results and execution time of the two algorithms, we solved the problem in medium and large dimensions.
Application of Experimental Design in Optimizing Fuel Station Queuing System
Ngakan Ketut Acwin Dwijendra,Irina Vaslavskaya,Natalia Vladimirovna Skvortsova,Tatyana Pavlovna Rakhlis,Untung Rahardja,Muneam Hussein Ali,A. Heri Iswanto,Lakshmi Thangavelu,Mustafa M. Kadhim 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
This paper investigates the 224 active fuel stations to find thee optimal distribution system. This research aims to de-sign a model based on simulation to optimize the queuing system and fuel station sales. This study combines simula-tions and experimental design techniques that lead to a predictable and experimental model for optimizing the system and performance of a fuel station by considering two perspectives of queue length and sales rate. Initially, the fuel station was simulated using Arena software. After simulating the fuel station system, we tried to optimize the station's performance using the design of experiments and response level methodology (RSM). The results obtained from the optimal model indicate that the results lead to improved system performance. The fuel station queue is studied
Alim Al Ayub Ahmed,Mohammed Yousif Oudah Al-Muttar,Gunawan Widjaja,Bulatenko Mariya Andreyevna,Trias Mahmudiono,Aditya Halim Perdana Kusuma Putra,Muneam Hussein Ali,A. Heri Iswanto,Skm Mars,Irman Suhe 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
In this research, the problem of location-hierarchical allocation of crowded facilities has been investigated by consid-ering customers’ priority in serving within the framework of queuing systems. The objective functions of the problem are focused on minimizing the total waiting time of customers and minimizing the maximum unemployment of each facility. The problem model is a multi-objective nonlinear programming model, and to evaluate the efficiency of the model, examples in different dimensions have been solved by a multi-objective genetic algorithm (NSGA-II) based on minimal sorting. Since the performance of meta-heuristic algorithms is highly dependent on their parameters, the parameters of this algorithm are adjusted using the Taguchi design. The results show that the establishment of the priority system has reduced the average waiting time of all customers compared to the shift system, so it can be concluded that if in designing hierarchical facilities, the goal is to reduce the waiting time of a particular class of customers, they should Prioritize.
Route Optimization of Container Ships Using Differential Evolution and Gray Wolf Optimization
Juhriyansyah Dalle,Paitoon Chetthamrongchai,Gunawan Widjaja,Egor Dudukalov,A. Heri Iswanto,Elena Sergeevna Sergushina 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
Container ships carry most of the world's cargo volume. Hence, Maritime transportation forms the backbone of the world merchandise trade. Today, with the advancement of shipbuilding technology and the increasing frequency of maritime transport, determining the optimal route for container ships has become more and more important for ship-ping lines and port managers. Accordingly, in the present study, we intend to investigate the ship routing problem us-ing a mixed integer linear mathematical programming model. In order to solve the proposed model, we have used the meta-heuristic algorithms of differential evolution and gray wolf optimization in MATLAB software. In the end, it was shown that the proposed mathematical model and solution approaches can assist ship operators and terminal managers in making reasonable optimization decisions.
Ahmad Kultur Hia,Akhmetova Gulmira,Nurpeiis Gulshat Sakenkyzy,Kenzhegaliyeva Zita,Muneam Hussein Ali,Ghaffar Ahmad Hussein,A. Heri Iswanto,Dedy Achmad Kurniady,Dani Hidayatuloh 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
Reliability is referred to as quality over time and one of the dimensions of quality. Improving product reliability is one of the major concerns in manufacturing and service processes that can be achieved by applying statistical process control. Statistical control chart is a process monitoring tool that is widely used in the manufacturing industry and can be used to monitor the failure process. The development of control charts for this purpose is one of the topics of interest to researchers in the field of reliability. However, research in this area has been limited to the development of control charts for separate monitoring of statistical indicators. In the present study, a new control chart will be proposed to monitor failure times and product reliability. The purpose of this chart is to simultaneously monitor various parameters of failure time distribution. For this purpose, in this research, normal distribution and normal log are investigated