Determination of storage tanks location for optimal short-term scheduling in multipurpose/multiproduct batch-continuous plants under uncertainties

被引：3

作者：

Durand, Guillermo A. ^{[1
]}

Mele, Fernando D. ^{[2
]}

Alberto Bandoni, J. ^{[1
]}

机构：

[1] PLAPIQUI CONICET UNS, RA-8000 Bahia Blanca, Buenos Aires, Argentina

[2] Univ Nacl Tucuman, FACET, Dep Proc Engn, RA-4000 San Miguel De Tucuman, Tucuman, Argentina

来源：

ANNALS OF OPERATIONS RESEARCH | 2012年 / 199卷 / 01期

关键词：

Decision-making; Uncertainty; Simulation-based optimization; Batch plant; Semi-continuous plant; Scheduling; Multipurpose/multiproduct plants; SIMULATION-BASED OPTIMIZATION; SUPPLY CHAIN MANAGEMENT; DEVELOPMENT PIPELINE MANAGEMENT; CONTINUOUS-TIME FORMULATION; STOCHASTIC OPTIMIZATION; DEMAND UNCERTAINTY; FRAMEWORK; APPROXIMATION;

D O I：

10.1007/s10479-011-0970-8

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

A multipurpose/multiproduct plant has to deal with many combinations of tasks sequences and operation rates that lead to accumulation problems. These problems can be handled using storage tanks, but usually their location within the flowsheet is predetermined and not subject to optimization, missing the opportunity to better satisfy the customers. In this work we will determinate the optimal location of storage tanks for the short-term scheduling under uncertainty. A hybrid simulation-based optimization (SBO) strategy was developed and implemented to solve the problems combining stochastic and deterministic solution algorithms.

引用

页码：225 / 247

页数：23

共 35 条

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