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Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting
Lee Jeongeun,
Rhee Kyonggu
Issue:
Volume 4, Issue 2-1, March 2015
Pages:
1-6
Received:
16 January 2015
Accepted:
19 January 2015
Published:
29 January 2015
Abstract: This paper aims to build closed loop supply chain model (CLSCM) and propose a multi-objective genetic algorithm. This paper designs the method of calculation for a solution using optimization algorithms with the priority-based genetic algorithm (priGA), and Adaptive Weight Approach (AWA).In this paper, we present a multi-objective closed loop supply chain model in integrated logistics system. We formulated a mathematical model with two objectives functions: (1) minimize transportation cost, open cost, inventory cost, purchase cost, disposal cost and saving cost of integrated facilities of CLSCM, (2) minimize the delivery time tardiness in all periods. Finally, a simulation is investigated to demonstrate the applicability of the proposed multi-objective closed loop supply chain model (CLSCM) and solution approaches.
Abstract: This paper aims to build closed loop supply chain model (CLSCM) and propose a multi-objective genetic algorithm. This paper designs the method of calculation for a solution using optimization algorithms with the priority-based genetic algorithm (priGA), and Adaptive Weight Approach (AWA).In this paper, we present a multi-objective closed loop suppl...
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Packet Switch Scheduler for Increasing Sending Packet
Kazunori Omori,
Myungryun Yoo,
Takanori Yokoyama
Issue:
Volume 4, Issue 2-1, March 2015
Pages:
7-12
Received:
16 January 2015
Accepted:
19 January 2015
Published:
29 January 2015
Abstract: Recently, the need of the high speed packet switch is increased. The Re-2DRR scheduling algorithm based on 2DRR scheduling algorithm provides high throughput communication on a packet switch. However, computer network is using many cases, that huge data communication, complex, and other. This paper proposes a new method to increase choices in algorithm variation for three specific systems and more easily implementation than Re-2DRR. The effectiveness of the proposed algorithm is shown through simulation studies.
Abstract: Recently, the need of the high speed packet switch is increased. The Re-2DRR scheduling algorithm based on 2DRR scheduling algorithm provides high throughput communication on a packet switch. However, computer network is using many cases, that huge data communication, complex, and other. This paper proposes a new method to increase choices in algor...
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On-Line Scheduling Algorithm for Real-Time Multiprocessor Systems with ACO
Cheng Zhao,
Myungryun Yoo,
Takanori Yokoyama
Issue:
Volume 4, Issue 2-1, March 2015
Pages:
13-17
Received:
16 January 2015
Accepted:
19 January 2015
Published:
29 January 2015
Abstract: The Ant Colony Optimization algorithms (ACO) are computational models inspired by the collective foraging behavior of ants. By looking at the strengths of ACO, they are the most appropriate for scheduling of tasks in soft real-time systems. In this paper, ACO based scheduling algorithm for real-time operating systems (RTOS) has been proposed. During simulation, results are obtained with periodic tasks, measured in terms of Success Ratio & Effective CPU Utilization and compared with Kotecha’s algorithm in the same environment. It has been observed that the proposed algorithm is equally optimal during underloaded conditions and it performs better during overloaded conditions.
Abstract: The Ant Colony Optimization algorithms (ACO) are computational models inspired by the collective foraging behavior of ants. By looking at the strengths of ACO, they are the most appropriate for scheduling of tasks in soft real-time systems. In this paper, ACO based scheduling algorithm for real-time operating systems (RTOS) has been proposed. Durin...
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Diagnosis of Production System of Marine Frozen Products by Inventory Management Theory - A Case of Blue Fins
Koichi Murata,
Nao Watanabe,
Reakook Hwang,
Seiichiro Isobe,
Hiroshi Katayama
Issue:
Volume 4, Issue 2-1, March 2015
Pages:
18-24
Received:
16 January 2015
Accepted:
19 January 2015
Published:
8 February 2015
Abstract: The purpose of this paper is a characteristic analysis of current production and inventory system for frozen products of blue fins under a fishery instability caused by the warming of the earth and an indiscriminate fishing. For the analysis, a simulation is performed quoted by Vassian’s production management theory. The result of the analysis is that the current system is aimed at minimizing a variation of the inventory at the end of the period.
Abstract: The purpose of this paper is a characteristic analysis of current production and inventory system for frozen products of blue fins under a fishery instability caused by the warming of the earth and an indiscriminate fishing. For the analysis, a simulation is performed quoted by Vassian’s production management theory. The result of the analysis is t...
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Evaluating Reverse Logistics Networks with Centralized Centers: An Adaptive Genetic Algorithm Approach Based on Fuzzy Logic Controller
Issue:
Volume 4, Issue 2-1, March 2015
Pages:
25-38
Received:
16 January 2015
Accepted:
19 January 2015
Published:
8 February 2015
Abstract: This paper proposes an adaptive genetic algorithm (FLC-aGA) approach based on fuzzy logic controller (FLC) for evaluating the reverse logistics (RL) networks with centralized centers. For the FLC-aGA approach, an adaptive scheme using a fuzzy logic controller is applied to GA loop. Five components which are composed of customers, collection centers, recovery centers, redistribution centers, and secondary markets are used to design the RL networks. For the RL with centralized centers (RLCC), collection center, recovery center, redistribution center and secondary market will be opened alone. The RLCC will be formulated as a mixed integer programming (MIP) model and its objective function is to minimize the total cost of unit transportation costs, fixed costs, and variable costs under considering various constraints. The MIP model for the RLCC is solved by using the FLC-aGA approach. Three test problems with various sizes of collection centers, recovery centers, redistribution centers, and secondary markets are considered and they are compared the FLC-aGA approach with other competing approaches. Finally, the optimal solutions by the FLC-aGA and other competing approaches are demonstrated each other using some measures of performance.
Abstract: This paper proposes an adaptive genetic algorithm (FLC-aGA) approach based on fuzzy logic controller (FLC) for evaluating the reverse logistics (RL) networks with centralized centers. For the FLC-aGA approach, an adaptive scheme using a fuzzy logic controller is applied to GA loop. Five components which are composed of customers, collection centers...
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Analysis of Information Logistics in Order Management Process - Focusing on Make-to-Order Small and Medium Company
Reakook Hwang,
Koichi Murata,
Hiroshi Katayama
Issue:
Volume 4, Issue 2-1, March 2015
Pages:
39-48
Received:
16 January 2015
Accepted:
19 January 2015
Published:
9 February 2015
Abstract: This paper discusses an analysis of an order management process (OMP) in a make to order production system. An inquiry process is particularly focused in this study. It is a delivery process of order information in OMP. The proposed procedure of this paper consists of the following five steps; 1) identification of inquiry process in OMP, 2) investigation of identified inquiry process, 3) creation of categories of attributes of identified inquiry process, 4) quantification of characteristic of identified inquiry process and 5) consideration of improvement of identified inquiry process. Through using the experimental result by the proposed procedure, a clarification of the characteristics of identified inquiry processes and a determination of the order of the processes to improve are possible.
Abstract: This paper discusses an analysis of an order management process (OMP) in a make to order production system. An inquiry process is particularly focused in this study. It is a delivery process of order information in OMP. The proposed procedure of this paper consists of the following five steps; 1) identification of inquiry process in OMP, 2) investi...
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On Heijunka Design of Assembly Load Balancing Problem: Genetic Algorithm & Ameliorative Procedure-Combined Approach
Zhi Zhuo Hou,
Hiroshi Katayama,
Reakook Hwang
Issue:
Volume 4, Issue 2-1, March 2015
Pages:
49-58
Received:
16 January 2015
Accepted:
19 January 2015
Published:
10 February 2015
Abstract: Mixed-model straight/U-shaped assembly line has been recognized as a relevant component of Just-In-Time (JIT) production line system. For this system, “Heijunka” design is also challenged as both the task assignment and the production sequence affect the workload imbalance among workstations. In this context and recognizing uncertain task time environment that is often observed in actual manufacturing scene, this research addresses the Line Balancing Problem (LBP) and the Product Sequencing Problem (PSP) jointly and proposes a mathematical model with stochastic task time which is subjected to normal distribution. The objectives of this model are to maximize line efficiency and to minimize the variation of work overload time. A Multi-objective Genetic Algorithm (MOGA) and an Ameliorative Structure of Multi-objective Genetic Algorithm (ASMOGA) with Priority-based Chromosome (PBC) are applied to solve this problem. At last, this research conducts an experimental simulation on a set of benchmark problems to verify the outperformance of the proposed algorithm.
Abstract: Mixed-model straight/U-shaped assembly line has been recognized as a relevant component of Just-In-Time (JIT) production line system. For this system, “Heijunka” design is also challenged as both the task assignment and the production sequence affect the workload imbalance among workstations. In this context and recognizing uncertain task time envi...
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