NDLI: Adaptive Response Mechanism Based on the Hybrid Simulation and Optimization for the Real Time Event Management

Content Provider	IEEE Xplore Digital Library
Author	Suk Jae Jeong Jeong Woo Kim Jae Ho Song Young Hoon Lee Kyung Sup Kim Do Won Lee Won Chul Cho
Copyright Year	2009
Abstract	Implementing the effective and efficient planning methods is a critical means to gain competitiveness for the decision-maker of manufacturing enterprise in today’s global market. We proposed adaptive response mechanism based on the hybrid simulation and optimization (ARESOP) that provides a formal bridge between long-term plans and short-term schedules. ARESOP is composed of Knowledge Generator (KG) based optimization mechanism and Knowledge Simulator (KS) based discrete event system and performance monitor based rule-based heuristic mechanism. The KG selects the optimal plan of control parameters based on the estimated behavior of the system and forecasting demand from legacy system like ERP and MRP. The KS evaluate the plan from KS and check whether it is acceptable. Feedback control loops are employed at higher level to evaluate the performance and update the control parameters. Also, The comparison between the optimal and actual values of the two monitoring variables: demand and production release rates is performed by Performance Monitor (PM) module. The times at which performance monitoring is done can be periodic (performance is sampled at regular time intervals, event-based (performance is sampled upon detection of certain event such as machine breakdown, urgent order arrivals). The significant advantage of the proposed method is shown. For a design and implementation, the data model and architecture of ARESOP is presented in this paper.
Starting Page	1124
Ending Page	1129
File Size	1237814
Page Count	6
File Format	PDF
ISBN	9780769536873
DOI	10.1109/NISS.2009.142
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Knowledge Simulation real-time event management Globalization Demand forecasting Control systems Discrete event simulation Optimization Bridges Optimal control Discrete event systems Hybrid model Manufacturing Monitoring
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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