http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Scheduling for a Container Supply Chain to Minimize Costs Using the Meta-Innovation Approach
Ismail Husein,Arif Suhada,Paitoon Chetthamrongchai,Andrej P. Peressypkin,Anis Siti Nurrohkayati,Vo Hoang Ca,Huynh Tan Hoi,John William Grimaldo Guerrero,M. Kavitha 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
In this study, a problem of scheduling shipping lines for a container supply chain is addressed in order to minimize the costs of charging ships and the cost of maintaining the inventory of empty containers in the port by considering the time window of the port and the amount of fuel. This is a hard-NP problem and cannot be solved on a large scale with precise methods in a logical time. Therefore, to solve and optimize the model, a meta-innovative algorithm, genetic algorithm, has been used. Also, to increase the effectiveness of the genetic algorithm, the parameters of the algorithm are adjusted using the Taguchi method. Finally, a number of problems have been solved to show the performance of this algorithm and its computational results have been compared with the results obtained from GAMS software.
Scheduling for a Container Supply Chain to Minimize Costs Using the Meta-Innovation Approach
Tua Halomoan Harahap,Hikee Altaee,Paitoon Chetthamrongchai,Andrej P. Peressypkin,Anis Siti Nurrohkayati,Vo Hoang Ca,Huynh Tan Hoi,John William Grimaldo Guerrero,M. Kavitha 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
In this study, a problem of scheduling shipping lines for a container supply chain is addressed in order to minimize the costs of charging ships and the cost of maintaining the inventory of empty containers in the port by considering the time window of the port and the amount of fuel. This is a hard-NP problem and cannot be solved on a large scale with precise methods in a logical time. Therefore, to solve and optimize the model, a meta-innovative algorithm, a genetic algorithm, has been used. Also, to increase the effectiveness of the genetic algorithm, the parameters of the algorithm are adjusted using the Taguchi method. Finally, a number of problems have been solved to show the performance of this algorithm and its computational results have been compared with the results obtained from GAMS software. The study’s results demonstrate that the efficiency of displacement inside ports and fuel price on the overall costs, the optimal number of ships utilized, and the optimal scheduling table.
Alim Al Ayub Ahmed,Dinh Tran Ngoc Huy,Nguyen Dinh Trung,Tawfeeq Alghazali,Abdulhussien N. Alattabi,Hasan Sh. Majdi,Farkad A. Lattieff,Ahmad Syarief Iskandar,Anis Siti Nurrohkayati 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
There are four general ways to improve reliability. One of the most popular of these solutions is to add surplus com-ponents to the subsystems of a system (known as RRAP) and the reliability-redundancy allocation problem. In a sub-system, how these surplus components are used is of particular importance. How to use surplus components in the subsystem is known as. There are three general strategies for reliability issues known as active, stored, and mixed strategy. The main aim of the study is to create a new formula on the basis of the subsystems that use these two strategies. Model 4 provides a continuous limit of the Markov chain with continuous time. This new formula enables us to perform complex strategy calculations in a very short time and accurately. Finally the exact function obtained for mixed strategy Protective system ultra-fast gas turbine has been tested. Given the results, the new equation decreased the solution time besides the accurate estimation of the system’s reliability.