NDLI: Simulation for Predictive Control of a distribution center

Content Provider	IEEE Xplore Digital Library
Author	Medina, L.A. Bilsel, R.U. Wysk, R.A. Prabhu, V. Ravindran, A.R.
Copyright Year	2009
Description	Author affiliation: Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA 16802, U.S.A. (Medina, L.A.; Bilsel, R.U.; Wysk, R.A.; Prabhu, V.; Ravindran, A.R.)
Abstract	In this paper we present the application of Simulation for Predictive Control (SimPC) as a decision making tool for improvement of non-automated distribution centers (DCs). SimPC is focused on determining the viability of a given truck- dock assignment schedule, including arrival times and dock assignments for inbound and outbound trucks. SimPC also serves to perform iterative procedures of system parameter adjustments while searching for a viable schedule. The proposed model utilizes real-time data from DC's warehouse management system (WMS) to obtain the current state of the DC, which serves as initial conditions for the simulation. The model emulates the decision rules imbedded in WMS, which include assigning tasks to system-guided resources, selecting storage locations for inbound operations and determining retrieval locations for outbound operations. The SimPC model provides insights for the identification of scheduling problems, guidance for operational and tactical solutions, and serves as a tool to verify these solutions.
Starting Page	2426
Ending Page	2435
File Size	986304
Page Count	10
File Format	PDF
ISBN	9781424457700
e-ISBN	9781424457717
DOI	10.1109/WSC.2009.5429694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Predictive control Distributed control Automatic control Automatic speech recognition Decision making Job shop scheduling Inventory management Resource management Material storage
Content Type	Text
Resource Type	Article

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