• Title/Summary/Keyword: supply chain planning

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An Integrated Planning of Production and Distribution in Supply Chain Management using a Multi-Level Symbiotic Evolutionary Algorithm (다계층 공생 진화알고리듬을 이용한 공급사슬경영의 생산과 분배의 통합계획)

  • 김여근;민유종
    • Journal of the Korean Operations Research and Management Science Society
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    • v.28 no.2
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    • pp.1-15
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    • 2003
  • This paper presents a new evolutionary algorithm to solve complex multi-level integration problems, which is called multi-level symbiotic evolutionary algorithm (MEA). The MEA uses an efficient feedback mechanism to flow evolution information between and within levels, to enhance parallel search capability, and to improve convergence speed and population diversity. To show the MEA's applicability, It is applied to the integrated planning of production and distribution in supply chain management. The encoding and decoding methods are devised for the integrated problem. A set of experiments has been carried out, and the results are reported. The superiority of the algorithm's performance is demonstrated through experiments.

Performance Analysis for Supply Chain Quality Management (공급망 품질경영(SCQM) 활동성과 분석)

  • Kim, Tai-Kyoo;Hyun, One-Soon
    • Journal of Korean Society for Quality Management
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    • v.37 no.1
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    • pp.69-79
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    • 2009
  • Supply Chain Management is the process of planning, implementing and controlling the operations of the supply chain to satisfy customer requirements as efficiently as possible. It spans all movements and storage of raw materials, work-in-process inventory, and finished goods from point-of-origin to point-of-consumption. Korean Standards Association claims the Supply Chain Quality Management(SCQM) as a win-win model of organizations among the supply chains for the best product/service quality to final customers. The SCQM is focused on quality of product/service and will do much for improving manufacturing performance between customer and suppliers. Consulting-teams make every effort to design suitable solution for constructing solutions and improving the performance. This study is to analyze the performance of SCQM consulting, from July of 2007 to June of 2008, and would provide some guidelines to design the optimal consulting models and develop guidebooks.

A study on Business Process Model for Extended and Integrated Supply Chain Planning : Focused on Negotiation (확장.통합된 공급사슬계획에서 협상을 위한 비즈니스 프로세스 모델에 관한 연구)

  • 강윤철;정한일;박진우
    • The Journal of Society for e-Business Studies
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    • v.9 no.1
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    • pp.105-122
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    • 2004
  • The advance of information technology has changed the business environment, and the business process between the trading partners has been evolved with these changes. However, the business process between trading partners requires human interface for interchanging information or making a decision even though they collaborate each other or are coupled tightly, and this interrupts seamless business processes between them. To overcome this limitations, a new concept of self-integration has been emerged. The self-integration means a true integration among enterprise applications without human interface, and it might be the future direction of integrations. In this study, we introduced the concept of self-integration environment and business process model for supply chain planning. And, we analyzed the negotiation processes and classified the negotiation patterns for integrated supply chain planning in self-integration environment, and then we proposed a generic business process model for negotiation of extended and integrated supply chain planning by integrating the suggested negotiation pattern with business scenarios.

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SCP-Matrix based shipyard APS design: Application to long-term production plan

  • Nam, SeungHoon;Shen, HuiQiang;Ryu, Cheolho;Shin, Jong Gye
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.10 no.6
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    • pp.741-761
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    • 2018
  • A shipyard is an Engineer To Order (ETO) company that designs and manufactures new products when orders are placed. Various tasks are concurrently performed, thereby making process management considerably important. It is particularly important to plan and control production activities because production constitutes the largest part of the overall process. Therefore, this study focuses on the development of a production planning system based on an Advanced Planning System (APS). An APS is an integrated planning system that targets supply chain processes in accordance with the principles of hierarchical planning. In this study, a Supply Chain Planning Matrix (SCP-Matrix), which is used as a guideline for APS development, is designed through analysis of shipyard cases. Then, we define the process in detail, starting from long-term production plan as the initial application, and design and implement a long-term production planning system using a component-based development.

A Study on Determination of Factory Production Capacity in the Supply Chain Considering Uncertain Demand (불확실한 수요를 고려한 공급사슬의 공장생산용량 결정에 관한 연구)

  • 지요한;임석진;김경섭
    • Journal of the Korea Society for Simulation
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    • v.12 no.1
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    • pp.35-48
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    • 2003
  • This paper suggests the long-term strategy of the production distribution planning considering the capacity of factory production and the uncertain demand in a supply chain. This paper determines the near optimal capacity of factory production by using the advantages of mathematical and simulation models. Also, the relationship between the capacity from the suggested model and the strategy of production and distribution in a supply chain is studied. Arena is used for modeling and analysis.

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The Development of Simulator for Supply Chain Design and Planning (공급사슬 설계 및 계획을 위한 시뮬레이터 개발)

  • Suk Jae Jeong;Kyung Sup Kim
    • Journal of the Korea Society for Simulation
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    • v.12 no.4
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    • pp.1-15
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    • 2003
  • To satisfy and respond quickly to customers' demand, many companies are now aggressively focusing on supply chain management in order to strengthen their competitiveness. The modeling and analysis of supply chain environment have been widely studied. This study is concerned with the development of supply chain simulator which deals with stochastic natures existing in the supply chain environment. We proposed the mathematical model for the efficient cost analysis and developed the supply chain simulator based on the proposed mathematical model with object-oriented language C++. The simple experiment which find the best combination of policies considering the whole cost shows the possibility and reasonability of the developed simulator.

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A Framework of Managing Supply Chain Disruption Risks Using Network Reliability

  • Ohmori, Shunichi;Yoshimoto, Kazuho
    • Industrial Engineering and Management Systems
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    • v.12 no.2
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    • pp.103-111
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    • 2013
  • This paper discusses how to manage supply chain disruption risks from natural disasters or other low-likelihood-high-impact risk drivers. After the catastrophic earthquake in Eastern Japan and the severe flood in Thailand, most companies have been attempting to re-establish the business continuity plan to prevent their supply chain from disruption. However, the challenges for managers and individual risks are often interrelated, and thus, actions that mitigate one risk can end up being no contribution as a whole. In this paper, we describe a framework for assessing how much impact individual mitigation strategies have on the entire supply chain protection against disruption, using network reliability. We propose three categories of risk-mitigation approaches: Stabilization, Absorption, and Duplication. We analyze the situation under which each of these strategies is the best suitable. With a clear understanding of relations between these mitigation strategies and the entire supply chain risks, managers can select effective risk-reduction approaches to their supply chain.

Comparative Analysis of Game-Theoretic Demand Allocation for Enhancing Profitability of Whole Supply Chain (전체 공급망 수익성 개선을 위한 게임이론 기반의 수요 할당 메커니즘의 비교 연구)

  • Shin, Kwang Sup
    • The Journal of Society for e-Business Studies
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    • v.19 no.1
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    • pp.43-61
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    • 2014
  • This research is an application of game theory to developing the supplier selection and demand allocation mechanism, which are the essential and major research areas of supply chain planning and operation. In this research, the most popular and widely accepted mechanism, the progressive reverse auction is analyzed and compared with the other game theoretic approach, Kalai-Smorodinsky Bargaining Solution in the viewpoint of holistic efficiency of supply chain operation. To logically and exquisitely compare the efficiencies, a heuristic algorithm based on Genetic Algorithm is devised to find the other optimal demand allocation plan. A well known metric, profit-cost ratio, as well as profit functions for both suppliers and buyer has been designed for evaluating the overall profitability of supply chain. The experimental results with synthesis data and supply chain model which were made to mimic practical supply chain are illustrated and analyzed to show how the proposed approach can enhance the profitability of supply chain planning. Based on the result, it can be said that the proposed mechanism using bargainging solution mayguarantee the better profitability for the whole supply chin including both suppliers and buyer, even though quite small portion of buyer's profitability should be sacrified.

Supply Chain Replanning Considering Balance of Supply and Demand (수급(需給)균형을 고려한 공급사슬 재계획에 관한 연구)

  • Cho, Min-Kwan;Lee, Young-Hae
    • IE interfaces
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    • v.17 no.spc
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    • pp.79-89
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    • 2004
  • Supply Chain (SC) can balance demands with supply activities as executing Supply Chain Planning (SCP). The fluctuated demands, however, will break the balance between demand and supply. It means that the present SCP is useless in responding the changed demands. Thus it is necessary for SCP to be updated with changed demands. We call this procedure as Supply Chain Replanning. However, the existing measures for SC can not deal with the balance between supply and demand so that they can not detect effectively the timing of replanning. For this reason, a new performance measure, Balancing Point, is developed using momentum, a concept of Physics. It can treat the balance between supply and demand. Also, a replanning method based on Balancing Point is proposed. The proposed method is more effective than the existing replanning method, periodic replanning method and net inventory method.

The multi-objective planning for minimizing tardiness and maximizing resource utilization in a multi-plant supply chain (다중플랜트 생산 공급망 계획에서 납기지연 최소화 및 자원이용 최대화를 위한 다목적 계획)

  • 한만형;문치웅;김종수
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.269-272
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    • 2001
  • In this paper, we presents a systematic methodology for minimizing tardiness and maximizing resource utilization in a multi-plant supply chain. A methodology is represented to a multi-objective mathematical program model. The model offers flexible and efficient multi-plant planning and scheduling. Also, We develope a realistic and flexible planning model using the genetic algorithm to solve the model.

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