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Gyeong Beom Yi,Gintaras V . Reklaitis 한국화학공학회 1995 화학공업과 기술 Vol.13 No.2
N/A An analysis has been performed of the capacity of intermediate storage vessels required to buffer the effects of periodic production failure. Simple analytical expressions for the limiting volume of the storage as a function of failure frequency and system parameters have been developed for SISO storage system under the assumption that system variables were integer number. All these simple analytical expressions are directly useful for determining the storage size and are the bases for more advanced engineering study such as operations research, controller design and process synthesis.
Yi, Gyeong Beom,Reklaitis, Gintaras V 한국화학공학회 1995 NICE Vol.13 No.2
An analysis has been performed of the capacity of intermediate storage vessels required to buffer the effects of periodic production failure. Simple analytical expressions for the limiting volume of the storage as a function of failure frequency and system parameters have been developed for SISO storage system under the assumption that system variables were integer number. All these simple analytical expressions are directly useful for determining the storage size and are the bases for more advanced engineering study such as operations research, controller design and process synthesis.
Yi, Gyeong Beom,Reklaitis, Gintaras V 한국화학공학회 1995 Korean Journal of Chemical Engineering Vol.12 No.1
Batch processes are susceptible to long term production failures that adjacent intermediate storage cannot absorb totally and therefore force the shut-down of adjacent units. Because batch processes have many timing constraints, a careless storage operation leads to the propagation of the failures along the production line which results in a great additional loss of productivity. This article develops operational algorithms for the basic MIMO storage system in the presence of failures of the processing units. up or down-stream of the storage facility. Specially, we consider a class of long term failures which affect all or a subset of the multiple input/output streams. Algorithms are carefully designed to satisfy physical constraints and fully utilize the storage capacity, while minimizing the duration of forced shut-downs. An example study simulating failures demonstrates the effectiveness of our approach.
Yi, Gyeong Beom,Reklaitis, Gintaras V 한국화학공학회 1995 Korean Journal of Chemical Engineering Vol.12 No.1
An analysis has been performed of the capacity of intermediate storage vessels required to buffer the effects of periodic production failure. Simple analytical expressions for the limiting volume of the storage as a function of failure frequency and system parameters have been developed for SISO storage system under the assumption that system variables were integer number. All these simple analytical expressions are directly useful for determining the storage size and are the bases for more advanced engineering study such as; operations research, controller design and process synthesis.
Gyeong Beom Yi,Gintaras V . Reklaitis 한국화학공학회 1995 화학공업과 기술 Vol.13 No.2
N/A Batch processes are susceptible to long term production failures that adjacent intermediate storage cannot absorb totally and therefore force the shut-down of adjacent units. Because batch processes have many timing constraints, a careless storage operation leads to the propagation of the failures along the production line which results in a great additional loss of productivity. This article develops operational algorithms for the basic MIMO storage system in the presence of failures of the processing units, up or down-stream of the storage facility. Specially, we consider a class of long term failures which affect all or a subset of the multiple input/output streams. Algorithms are carefully designed to satisfy physical constraints and fully utilize the storage capacity, while minimizing the duration of forced shut-downs. An example study simulating failures demonstrates the effectiveness of our approach.
Yi, Gyeong Beom,Reklaitis, Gintaras V 한국화학공학회 1995 NICE Vol.13 No.2
Batch processes are susceptible to long term production failures that adjacent intermediate storage cannot absorb totally and therefore force the shut-down of adjacent units. Because batch processes have many timing constraints, a careless storage operation leads to the propagation of the failures along the production line which results in a great additional loss of productivity. This article develops operational algorithms for the basic MIMO storage system in the presence of failures of the processing units, up or down-stream of the storage facility. Specially, we consider a class of long term failures which affect all or a subset of the multiple input/output streams. Algorithms are carefully designed to satisfy physical constraints and fully utilize the storage capacity, while minimizing the duration of forced shut-downs. An example study simulating failures demonstrates the effectiveness of our approach.
공정시스템 , 이동현상 , 화학공정안전 : 품질검사를 고려한 제품 저장조의 최적 일정계획
이경범(Gyeong Beom Yi),신동일(Dong Il Sin),이호경(Ho Kyung Lee),이범석(Bom Sock Lee),하진국(Jin Kuk Ha),이의수(Euy Soo Lee) 한국화학공학회 2001 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.39 No.2
The mined integer linear programming model has been developed for the production scheduling of liquid state polymer process such as a Polybutene(PB). The example process is composed of one reactor, twelve storage tanks and two package types. The reactor produces 9 liquid state products. The products are reserved in tanks and then, packaged into drum or isocontainer. The drum products are stored in a warehouse before they are shipped out to customers but the isocontainer products are shipped directly out to customers. Two major products use multiple tanks. Most tanks are dedicated to a certain product but basically any tank can be shared by any product The reactor is operated on block mode. The unique characteristic of this scheduling problem exists on the fact that the product in a tank should be locked for 3-15 days in order to check the quality specifications after run-down from the reactor. The primary objective of scheduling is reducing the number of quality checking processes because it causes great loss in production time and tank utilization. The model is composed of about 1,500-2000 integer variables. The branching priorities are adjusted according to the importance of variables based on current manual scheduling practice and it greatly enhanced the convergence of the mixed integer model.