Planning and scheduling of industrial supply chains with reverse flows:: A real pharmaceutical case study

被引:57
作者
Amaro, A. C. S. [1 ,2 ]
Barbosa-Povoa, A. R. F. D. [1 ]
机构
[1] Univ Tecn Lisboa, Inst Super Tecn, Ctr Management Studies CEG IST, P-1049001 Lisbon, Portugal
[2] ISCAC, P-3040 Coimbra, Portugal
关键词
supply chain management; planning; scheduling; reverse flows; discrete models; optimal approaches; flexibility;
D O I
10.1016/j.compchemeng.2008.03.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a modeling approach for the sequential planning and scheduling of supply chain (SC) structures with reverse flows. At the planning level an aggregated description is proposed to represent the supply chain operational problem. A master representation is defined to support supply chain resources, operational occurrences (events), involved materials and associated markets. Based on this master representation a mathematical formulation is proposed for the optimal supply chain planning. The planning solution is then processed at the scheduling level,where an increased level of detail is considered, through the solution of a scheduling mathematical formulation. The link between the planning and the scheduling levels is performed sequentially by setting up common time domain bounds. At each operational level both supply chain structural and dynamic characteristics are accounted for where different topological, operational and marketing characteristics (market supplies, demands and price levels) are considered. Furthermore, the presence of reverse flows is also modeled allowing for the analysis of the closed supply chain. As final solution the models provide two levels of information: (I) the optimal aggregated plan for a given planning time domain (e.g. 6 months) and (2) its concretization at the scheduling level (e.g. I week) where detailed information on supply, production, inventory, transportation and recovery of products is optimized based on a pre-defined economical performance criterion. The models developed and the associated planning/scheduling methodologies are validated through the solution of a real industrial pharmaceutical case study. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2606 / 2625
页数:20
相关论文
共 17 条
[1]   Supply chain management with optimal scheduling [J].
Amaro, A. C. S. ;
Barbosa-Povoa, A. P. F. D. .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2008, 47 (01) :116-132
[2]   Decomposition techniques for the solution of large-scale scheduling problems [J].
Bassett, MH ;
Pekny, JF ;
Reklaitis, GV .
AICHE JOURNAL, 1996, 42 (12) :3373-3387
[3]   An integrated system solution for supply chain optimization in the chemical process industry [J].
Berning G. ;
Brandenburg M. ;
Gürsoy K. ;
Mehta V. ;
Tölle F.-J. .
OR Spectrum, 2002, 24 (4) :371-401
[4]   SIMULTANEOUS PRODUCTION PLANNING AND SCHEDULING IN MULTIPRODUCT BATCH PLANTS [J].
BIREWAR, DB ;
GROSSMANN, IE .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1990, 29 (04) :570-580
[5]   Supply chain optimization in continuous flexible process networks [J].
Bok, JK ;
Grossmann, IE ;
Park, S .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2000, 39 (05) :1279-1290
[6]   A decomposition method for the simultaneous planning and scheduling of single-stage continuous multiproduct plants [J].
Erdirik-Dogan, M ;
Grossmann, IE .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2006, 45 (01) :299-315
[7]  
Fleischmann M, 2001, PROD OPER MANAG, V10, P156
[8]   Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment [J].
Grossmann, IE .
COMPUTERS & CHEMICAL ENGINEERING, 2004, 29 (01) :29-39
[9]   A two-stage modeling arid solution framework for multisite midterm planning under demand uncertainty [J].
Gupta, A ;
Maranas, CD .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2000, 39 (10) :3799-3813
[10]  
Maxwell M. R., 2005, TRANSPORT RES E-LOG, V41, P531