Campaign planning for multi-stage batch processes in the chemical industry

被引:51
作者
Grunow M. [1 ]
Günther H.-O. [1 ]
Lehmann M. [1 ]
机构
[1] Deptartment of Production Management, Technical University Berlin, 10585 Berlin
关键词
Campaign planning; Chemical industry; Hierarchical production planning; Linear optimization model; Supply networks;
D O I
10.1007/s00291-002-0098-y
中图分类号
学科分类号
摘要
Inspired by a case study from industry, the production of special chemical products is considered. In this industrial environment, multi-purpose equipment is operated in batch mode to carry out the diverse processing tasks. Often, extensive set-up and cleaning of the equipment are required when production switches between different types of products. Hence, processes are scheduled in campaign mode, i.e. a number of batches of the same type are processed in sequence. The production of chemical products usually involves various stages with significant cumulative lead times. Typically, these production stages are assigned to different plants. A hierarchical modelling approach is presented which co-ordinates the various plant operations within the entire supply network. In the first stage, the length of the campaigns, their timing, the corresponding material flows, and equipment requirements have to be determined. At this stage, an aggregation scheme based on feasibility constraints is employed in order to reflect the limited availability of the various types of production equipment. The second stage consists of an assignment model, which allocates the available equipment units between the production campaigns determined in the first stage of the solution procedure. In the third stage, resource conflicts are resolved, which may occur if clean-out operations and minimal campaign lengths have to be considered. The proposed hierarchical approach allows a more compact model formulation compared to other approaches known from the literature. As a result, a very efficient and flexible solution approach is obtained. In particular, commercially available standard solvers can be used to solve a wide range of campaign planning problems arising in the chemical industry.
引用
收藏
页码:281 / 314
页数:33
相关论文
共 31 条
[11]  
Hax A.C., Meal H.C., Hierarchical integration of production planning and scheduling, Studies in Management Science, Vol 1. Logistics, 1, pp. 53-69, (1975)
[12]  
Kallrath J., Combined strategic and operational planning - A MILP success story in chemical industry, OR Spectrum, 24, pp. 315-341, (2002)
[13]  
Kallrath J., Planning and scheduling in the process industry, OR Spectrum, 24, pp. 219-250, (2002)
[14]  
Kondili E., Pantelides C.C., Sargent R.W.H., A general algorithm for short-term scheduling of batch operations - I. MILP formulation, Computers and Chemical Engineering, 17, pp. 211-227, (1993)
[15]  
Mendez C.A., Cerda J., A MILP-based approach to the short-term scheduling of make-and-pack continuous production plants, OR Spectrum, 24, 4, (2002)
[16]  
Meyr H., Wagner M., Rohde J., Structure of advanced planning systems, (2000) Supply Chain Management and Advanced Planning, pp. 75-77, (2000)
[17]  
Neumann K., Schwindt C., Trautmann N., Advanced production scheduling for batch plants in process industries, OR Spectrum, 24, pp. 251-279, (2002)
[18]  
Oh H.O., Karimi I.A., Planning production on a single processor with sequence-dependent setups - Part 1 : Determination of campaigns, Computers and Chemical Engineering, 25, pp. 1021-1030, (2001)
[19]  
Oh H.O., Karimi I.A., Planning production on a single processor with sequence-dependent setups - Part 2: Campaign sequencing and scheduling, Computers and Chemical Engineering, 25, pp. 1031-1043, (2001)
[20]  
Papageorgiou L.G., Pantelides C.C., Optimal campaign planning/scheduling of multi-purpose batch/semicontinuous plants. 1. Mathematical formulation, Ind Eng Chem Res, 35, pp. 488-509, (1996)