Scheduling, planning, and investment policy making in process industry using mixed integer optimization = 혼합 정수계획법을 이용한 공정 산업에서의 일정관리, 생산계획 및 투자 정책 결정

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 297
  • Download : 0
This study adopts mixed integer optimization technique to develop novel mathematical models and efficient solution methods for the scheduling, production planning, and investment planning problems of the process industry. First, the problem of refinery short term scheduling of crude oil unloading with inventory management is addressed. In this problem we consider inventory management of a refinery that imports several types of crude oil which are delivered by different vessels. This problem involves optimal operation of crude oil unloading, its transfer from storage tanks to charging tanks, and the charging schedule for each crude oil distillation unit. A mixed-integer optimization model is developed which relies on time discretization. The problem involves bilinear equations due to mixing operations. However, the linearity in the form of a mixed-integer linear programming (MILP) is maintained by replacing bilinear terms with individual component flows. The LP-based branch and bound method is applied to solve the model, and several techniques such as priority branching and bounding, and special ordered sets are implemented to reduce the computation time. This formulation and solution method was applied to an industrial-size problem involving 3 vessels, 6 storage tanks, 4 charging tanks, and 3 crude distillation units over 15 time intervals. To deal with the computational and implementational difficulties indicated in the previous mathematical programming approach, a hybrid refinery scheduling system combining mathematical programming technique and expert system is then proposed. As a mathematical programming technique, mixed-integer linear programming model for crude oil movement between tanks and charging schedule is proposed, while expert system is used to deal with the crude vessel unloading operation. Compared with recent pure mathematical programming approach for the refinery crude oil management, the proposed hybrid refinery scheduling system is shown t...
Advisors
Park, Sun-Wonresearcher박선원researcher
Description
한국과학기술원 : 화학공학과,
Publisher
한국과학기술원
Issue Date
1997
Identifier
113081/325007 / 000945350
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 화학공학과, 1997.2, [ xiv, 219 p. ]

Keywords

Investment; Planning; Scheduling; Mixed integer optimization; Process industry; 공정산업; 투자; 생산계획; 일정관리; 혼합 정수 계획법

URI
http://hdl.handle.net/10203/28758
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=113081&flag=dissertation
Appears in Collection
CBE-Theses_Ph.D.(박사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0