More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation
In batch process scheduling, the introduction of intermediate storage tanks between process stages result in increasing the efficiency and productivity of the process. The main purpose of this is to minimize the process completion time, i.e. makespan. However, it is important to determine the right...
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oai:scholars.utp.edu.my:5402023-01-04T02:42:27Z http://scholars.utp.edu.my/id/eprint/540/ More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation Shafeeq , A. M.I., Abdul Mutalib Amminudin , K.A. Muhammad , A. TP Chemical technology In batch process scheduling, the introduction of intermediate storage tanks between process stages result in increasing the efficiency and productivity of the process. The main purpose of this is to minimize the process completion time, i.e. makespan. However, it is important to determine the right number and respective locations of the intermediate storage to ensure optimal investment and operational cost. The generally adopted transfer policies for handling intermediate storage tanks in batch processes are unlimited intermediate storage (UIS) and finite intermediate storage (FIS). In this work, new completion time algorithms for UIS and FIS transfer policies are proposed using matrix representation. The objective of the proposed approach is to calculate the makespan for all possible production sequences for given batch product recipes while at the same time determining the number and location of intermediate storage tanks required. With the assumptions that the intermediate storage could be used to store any intermediate product, the method is verified against the Gantt chart method and the results agreed well. A number of different product recipes are analyzed using a developed computer code. This enables the proposed algorithms to produce solution options for large size batch scheduling problems. © 2008 American Chemical Society. 2008 Article NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/540/1/paper.pdf Shafeeq , A. and M.I., Abdul Mutalib and Amminudin , K.A. and Muhammad , A. (2008) More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation. Industrial and Engineering Chemistry Research , 47 (24). pp. 9957-9970. ISSN 8885885 http://www.scopus.com/inward/record.url?eid=2-s2.0-64549124236&partnerID=40&md5=e51bff552be29e610099c9b35592a6dc 10.1021/ie800068j 10.1021/ie800068j |
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TP Chemical technology Shafeeq , A. M.I., Abdul Mutalib Amminudin , K.A. Muhammad , A. More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation |
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In batch process scheduling, the introduction of intermediate storage tanks between process stages result in increasing the efficiency and productivity of the process. The main purpose of this is to minimize the process completion time, i.e. makespan. However, it is important to determine the right number and respective locations of the intermediate storage to ensure optimal investment and operational cost. The generally adopted transfer policies for handling intermediate storage tanks in batch processes are unlimited intermediate storage (UIS) and finite intermediate storage (FIS). In this work, new completion time algorithms for UIS and FIS transfer policies are proposed using matrix representation. The objective of the proposed approach is to calculate the makespan for all possible production sequences for given batch product recipes while at the same time determining the number and location of intermediate storage tanks required. With the assumptions that the intermediate storage could be used to store any intermediate product, the method is verified against the Gantt chart method and the results agreed well. A number of different product recipes are analyzed using a developed computer code. This enables the proposed algorithms to produce solution options for large size batch scheduling problems. © 2008 American Chemical Society.
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Shafeeq , A. M.I., Abdul Mutalib Amminudin , K.A. Muhammad , A. |
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Shafeeq , A. M.I., Abdul Mutalib Amminudin , K.A. Muhammad , A. |
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Shafeeq , A. |
title |
More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation
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title_short |
More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation
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title_full |
More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation
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More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation
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More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation
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more on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation |
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2008 |
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http://scholars.utp.edu.my/id/eprint/540/1/paper.pdf http://scholars.utp.edu.my/id/eprint/540/ http://www.scopus.com/inward/record.url?eid=2-s2.0-64549124236&partnerID=40&md5=e51bff552be29e610099c9b35592a6dc |
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