An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control

We develop an extension to the tactical planning model (TPM) for a job shop by the third author. The TPM is a discrete-time model in which all transitions occur at the start of each time period. The time period must be defined appropriately in order for the model to be meaningful. Each period must b...

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Main Authors: Teo, Chee Chong, Bhatnagar, Rohit, Graves, Stephen C.
Format: Article
Language:English
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/7447
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author Teo, Chee Chong
Bhatnagar, Rohit
Graves, Stephen C.
author_facet Teo, Chee Chong
Bhatnagar, Rohit
Graves, Stephen C.
author_sort Teo, Chee Chong
collection MIT
description We develop an extension to the tactical planning model (TPM) for a job shop by the third author. The TPM is a discrete-time model in which all transitions occur at the start of each time period. The time period must be defined appropriately in order for the model to be meaningful. Each period must be short enough so that a job is unlikely to travel through more than one station in one period. At the same time, the time period needs to be long enough to justify the assumptions of continuous workflow and Markovian job movements. We build an extension to the TPM that overcomes this restriction of period sizing by permitting production control over shorter time intervals. We achieve this by deriving a continuous-time linear control rule for a single station. We then determine the first two moments of the production level and queue length for the workstation.
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spelling mit-1721.1/74472019-04-11T02:45:30Z An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control Teo, Chee Chong Bhatnagar, Rohit Graves, Stephen C. job shop tactical planning model moments of production quantities and queue lengths production smoothing We develop an extension to the tactical planning model (TPM) for a job shop by the third author. The TPM is a discrete-time model in which all transitions occur at the start of each time period. The time period must be defined appropriately in order for the model to be meaningful. Each period must be short enough so that a job is unlikely to travel through more than one station in one period. At the same time, the time period needs to be long enough to justify the assumptions of continuous workflow and Markovian job movements. We build an extension to the TPM that overcomes this restriction of period sizing by permitting production control over shorter time intervals. We achieve this by deriving a continuous-time linear control rule for a single station. We then determine the first two moments of the production level and queue length for the workstation. Singapore-MIT Alliance (SMA) 2004-12-14T19:26:53Z 2004-12-14T19:26:53Z 2005-01 Article http://hdl.handle.net/1721.1/7447 en Innovation in Manufacturing Systems and Technology (IMST); 232940 bytes application/pdf application/pdf
spellingShingle job shop
tactical planning model
moments of production quantities and queue lengths
production smoothing
Teo, Chee Chong
Bhatnagar, Rohit
Graves, Stephen C.
An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control
title An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control
title_full An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control
title_fullStr An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control
title_full_unstemmed An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control
title_short An Extension to the Tactical Planning Model for a Job Shop: Continuous-Time Control
title_sort extension to the tactical planning model for a job shop continuous time control
topic job shop
tactical planning model
moments of production quantities and queue lengths
production smoothing
url http://hdl.handle.net/1721.1/7447
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