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More on completion time algorithms for intermediate storage tanks in multiproduct batch process scheduling using matrix representation

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

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Abstract

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.

Item Type:Article
Uncontrolled Keywords:Batch process; Batch-scheduling; Completion time; Computer codes; Finite intermediate storages; Gantt charts; Intermediate products; Intermediate storages; Large sizes; Makespan; Matrix representations; Multiproduct batch process; Operational costs; Optimal investments; Process stages; Production sequences; Unlimited intermediate storages; Fuzzy systems; Graphic methods; Location; Scheduling; Tanks (containers); Batch data processing
Subjects:T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:540
Deposited By: Assoc Prof Dr Mohamed Ibrahim Abdul Mutalib
Deposited On:09 Mar 2010 02:07
Last Modified:19 Jan 2017 08:26

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