Shigeki Umeda

An integration test-bed system for supply chain management

The paper proposes an integration test bed system for supply chain management, which forms the foundation for the construction of a valued manufacturing chain. The core system of the test bed is a hierarchical simulation system to support production management in supply chain. The test bed possesses sub components linked with the simulation system. These are: 1) an enterprise integration model which represents business and information process in supply chain, 2) the communication data interface between the simulation and the suppliers companies, 3) the decision support system based on statistical methods. The paper describes the details of the system architecture and system configuration. After the detailed description, the authors discuss simulation integration methodologies through an application example.

Design specifications of a generic supply chain simulator

This paper describes a design specification for a generic, supply-chain-simulation system. The proposed simulation system is based on schedule-driven and stock-driven control methods to support the supply chain management. The simulation system includes three processing modes: business process flows, material process flows, and information process flows. The paper also discusses interface data requirements for the proposed supply-chain-simulation system.

Hybrid Modeling Approach for Supply-Chain Simulation

This paper proposes a novel simulation-modeling framework that combines discrete-event simulations with system-dynamics simulations. The former represents both operational processes inside of a supply-chain, and the later represents management environment outside of a supply-chain. Further, the paper also discusses modeling capabilities of the proposed framework for supply-chain systems in real world by using several example simulation models.

A simulation modeling framework for supply chain system analysis

This paper describes a supply chain simulation by using hybrid-models that combine discrete-event models and system dynamics models. The discrete-event models represent operational processes inside of supply chain, and the system dynamics models represent supply chain reactions under management circumstance. The scope is a real supply chain system with a large scale and complicated operational rules. The simulation results clarified supply chain features in a long-term manufacturing management environment.

Supply-chain Simulation Integrated Discrete-event Modeling with System-Dynamics Modeling

This paper describes a novel simulation framework that integrates discreteevent modeling with system-dynamics modeling. The former has strength in system performance evaluation; meanwhile, the later has an advantage of representing feedback mechanisms in complex systems. We are currently developing a hybrid-modeling framework, which combines discrete-event modeling with system dynamics modeling. The objectives of this framework are: (1) to simulate feedbacks of supply-chain activities in social system mechanisms, (2) to enable management simulation in long time terms, and finally (3) to clarify requirement specifications towards supply-chain management gaming. This paper summarizes this framework and represents application examples.

A manufacturing-oriented simulation package to support systems planning and its operation

This paper describes a manufacturing-oriented simulation software to suppl manufacturing systems planning and its operational control. The system configuration, modeling feature, algorithm, and its verification through an application to a practical manufacturing line will be described. The kernel of this software is an original manufacturing-oriented simulator. The simulator provides an original event-search algorithm, which handles efficiently simultaneous state-events to realize high performance of simulation. The simulator also supports an unique easy-to-learn modeling language, which cart direetiy represent production-order methods in models. An advanced simulation software system includes the original simulator, the event trace database, which stores the event records of simulation, graphics post-processor, and scheduling evaluator. Fh’taHy, the author proposes a framework to integrate simulation to total production control system in CIMS environment.

Simulation analysis of supply chain systems with reverse logistics

Due to environmental and ecological responsibility, enterprises are trying to reuse, remanufacture and recycle used products to reduce the negative impact on the environment. Reverse logistics is one of essential elements to implement such sustainable supply chain system. This paper proposes methodologies of simulation modeling and analysis of supply chain systems with reverse logistics flows. This paper discusses two types of reverse supply chain: PUSH-type reverse logistics and PULL-type reverse logistics. Generic models are introduced and analysis examples of individual features will be provided.

Advances in production management systems: Innovative production management towards sustainable growth: IFIP WG 5.7 international conference, APMS 2015 Tokyo, Japan, september 7-9, 2015 proceedings, Part I

Studies on interorganizational networks tend to be dense in their different aspects such as structural characteristics, nature of the links and transactional content, but light on power in networks. The purpose of this paper is to study a possible correlation between power and trust in an interorganizational network. Using quantitative methodology based on a survey sample made in 29 food companies that belong to a Brazilian food association, it was possible to statistically correlate power and trust in this network. The findings can be of importance to present what aspects the companies in this network pay more attention to: power, trust and their relationship, and to present a methodology that can be reproduced for the studies of power in networks. As a characteristic of empirical studies in networks, the temporal transversality of the nature of the sample does not allow generalizations.

Sensitivity Analysis of Reverse Supply Chain System Performance by Using Simulation

This paper proposes a methodology of performance sensitivity analysis of reverse supply chain systems by using simulation. This paper discusses two types of reverse logistics model: PUSH-type and PULL-type. And, it proposes a generic method to analyze system performance by using discrete-event simulation and factorial experiment design. The characteristics of reverse supply chain systems (PUSH-type and PULL-type) are shown in detail. The result of these analyses would provide useful data for planning reverse supply chain systems.

Performance Analysis of Reverse Supply Chain Systems by Using Simulation

This paper proposes methodologies of simulation modeling and analysis of supply chain systems with reverse logistics flows. This paper discusses two types of reverse supply chain: PUSH-type reverse logistics and PULL-type reverse logistics. Generic models are introduced and analysis examples of individual features will be provided.