Process Systems Engineering, 8. Plant Operation, Integration, Planning, Scheduling, and Supply Chain

1.	Introduction
1.1.	The Planning/Scheduling Problem
1.1.1.	Enterprise-Wide Long-Term or Strategic Planning
1.1.2.	Short-Term Production Scheduling
1.2.	Current State of Integrated Management of Process Operations
1.2.1.	Corporate Finances and International Issues
1.2.2.	Product Development
1.2.3.	Environmental Management
1.2.4.	Sales and Marketing
1.2.5.	Decision-Making under Uncertainty
1.2.5.1.	Reactive Approaches
1.2.5.2.	Preventive Approaches
2.	Process Planning and Scheduling
2.1.	Resource Planning
2.1.1.	Structure of the Production Facility
2.1.2.	Mode of Operation
2.1.3.	Inventory Policy
2.1.4.	Resources Availability
2.1.5.	Structure of Demand
2.1.6.	Planning Horizon
2.1.7.	Performance Index
2.2.	Planning of New Product Development
2.3.	Planning Problem Solution Approaches
2.3.1.	Hierarchical Decomposition
2.3.2.	Rolling Horizon Solution Strategy
2.3.3.	Enumeration Procedures
2.4.	Production Planning for Parallel Multiproduct Plants
2.4.1.	Solution Strategy
2.4.2.	Optimization Procedure
2.4.3.	Industrial Applications
2.4.3.1.	The Pigment Factory
2.4.3.2.	Textile Production
2.5.	Single-Site Production Scheduling
2.5.1.	Scheduling Requirements for Industrial Problems
2.5.2.	Mathematical Models
2.6.	Operation Under Uncertainty
2.6.1.	Generation of Robust Schedules
2.6.2.	Preventive Maintenance
2.6.3.	Simultaneous Production and Maintenance Tasks Scheduling
2.6.4.	Flexible Schedules
2.6.4.1.	Mathematical Formulation
2.6.4.2.	Processing Unit Allocation Constraints
2.6.4.3.	Flexible Recipe Model
2.6.4.4.	Recipe Flexibility Region
2.6.4.5.	Associated Cost of Deviations from Nominal Conditions
2.6.4.6.	Lower Bound on the Start Time of the Tasks
2.6.4.7.	Duration of Tasks
2.6.4.8.	Duration of the First Tasks
2.6.4.9.	Sequencing Constraints
2.6.4.10.	Tardiness and Earliness
2.6.4.11.	Problem Objective Function
2.6.4.12.	Illustrative Example
2.7.	Heuristic/Stochastic Approaches
2.8.	Software Support Tools
2.8.1.	Planning
2.8.2.	Scheduling
2.8.2.1.	gBBS
2.8.2.2.	Virtecs
2.8.2.3.	BOLD
2.9.	Benefits and Challenges of Scheduling/Planning Applications
2.10.	Nomenclature
2.10.1.	Scheduling
2.10.2.	Flexible Schedules
3.	Supply Chain Management
3.1.	Supply Chain Modeling
3.1.1.	Organizational Structure
3.1.2.	Model Elements
3.1.2.1.	SC Drivers
3.1.2.2.	SC Decisions
3.1.2.3.	SC Constraints
3.2.	Supply Chain Operations Strategic and Tactical Issues
3.2.1.	Operations Model
3.2.1.1.	Traditional Design-Planning of Supply Chain Networks
3.2.1.2.	Flexible Design-Planning of Supply Chain Networks
3.2.2.	Economic Performance Indicator
3.2.3.	Mapping Environmental Impacts within SCM
3.3.	Treatment of Uncertainty
3.4.	Detailed Scheduling Considerations in SC Design
3.5.	Illustrative Example
3.5.1.	The Design Problem
3.5.2.	Testing Solutions Using the MPC Framework
3.5.3.	Consideration of Failures
3.6.	Supporting Software
3.7.	Nomenclature
3.7.1.	Traditional Design Planning of Supply Chain Networks
3.7.2.	Flexible Design and Planning of Supply Chain Networks
3.7.3.	Mapping Environmental (Additional Nomenclature)
3.7.4.	Treatment of Uncertainty
3.7.5.	Scheduling Consideration in SC Design
4.	Conclusions and Future Directions
5.	Acknowledgments

References

1 J.F. Pekny, G.V. Reklaitis. “Towards the Convergence of Theory and Practice: A Technology Guide for Scheduling/Planning Methodology,” AIChE Symp. Ser. 320 (1998) no. 94, 91–111.
Google Scholar
2 G.V. Reklaitis: Overview of Scheduling and Planning of Batch Process Operations, in Batch Processing System Engineering, vol. 143, Springer, Berlin 1996, pp. 660–705.
10.1007/978-3-642-60972-5_27
Google Scholar
3 J.M. Wassick: “Enterprise-wide optimization in an integrated chemical complex”, Comp. Chem. Eng. 33 (2009) 1950–1963.
10.1016/j.compchemeng.2009.06.002
CAS Web of Science® Google Scholar
4 R.N. Anthony: Planning and Control systems: A framework for analysis, Harvard Business School Press, Boston 1965.
Google Scholar
5 C.M. McDonald: “Synthesising Enterprise-wide Optimization with Global Information Technologies: Harmony or Discordy?”, AIChE Symp. Ser. 320 (1998) no. 94, 62–74.
Google Scholar
6 D.E. Shobrys: The history of APS, Report of Supply Chain Consultants, http://www.thesupplychain.com (accessed 24 February 2012).
Google Scholar
7 N. Shah: “Single and multisite planning and scheduling: current status and future challenges”, AIChE Symp. Ser. 320 (1998) no. 94, 75–90.
Google Scholar
8 H.-H. Hvolby, K. Steger-Jensen: “Technical and industrial issues of Advanced Planning and Scheduling (APS),” Computers in Industry 61 (2010) no. 9, 845–851.
10.1016/j.compind.2010.07.009
Web of Science® Google Scholar
9 K.R. Baker: “An experimental study of the effectiveness of rolling schedules in production planning”, Decision Science 8 (1977) 19–27.
10.1111/j.1540-5915.1977.tb01065.x
Google Scholar
10 A.D. Dimitriadis, N. Shah, C.C. Pantelides: “Rtn-based rolling horizon algorithms for medium term scheduling of multipurpose plants”, Comp. Chem. Eng. 21 (1997) 1061–1066.
10.1016/S0098-1354(97)87643-0
CAS Web of Science® Google Scholar
11 L. Puigjaner, A. Espuña: “Prospects for integrated managements and control of total sites in the batch manufacturing industry”, Comp. Chem. Eng. 22 (1998) no. 1–2, 87–107.
10.1016/S0098-1354(96)00353-5
Web of Science® Google Scholar
12 J. Romero, M. Badell, M. Bagajewicz, L. Puigjaner: “Integrating budgeting models into Scheduling and planning models for the chemical industry,” Ind. Eng. Chem. Res. 42 (2003) 6125–6134.
10.1021/ie030312l
CAS Web of Science® Google Scholar
13 D.E. Shobrys, D.C. White: “Planning, scheduling and control systems: why cannot they work together”, Comp. Chem. Eng. 24 (2000) 163–173.
10.1016/S0098-1354(00)00508-1
CAS Web of Science® Google Scholar
14 C.C. Kafoglis: Maximize competitive advantage with a supply chain vision”, Hydrocarbon Processing 1999.
Google Scholar
15 A. Ferrar: “Advanced planning and scheduling in the online worls- APS and B2B”, Control 27 (2001) no. 4.
Google Scholar
16 B. McGettrick, R. Sewell, C. Sivills: “Advanced planning and scheduling and supply chain management. Competitive survival in the Customer-Centric Age”, Control 27 (2001) no. 2.
Google Scholar
17 D. Simchi-Levi, P. Kamisky, E. Simchi-Levi: Designing and Managing the Supply Chain. Concepts, Strategies, and Case Studies, McGraw-Hill, New York 2000.
Google Scholar
18 G.E. Applequist, J.F. Pekny, G.V. Reklaitis: “Risk and uncertainty in managing manufacturing supply chains”, Comp. Chem. Eng. 24 (2000) 47–50.
10.1016/S0098-1354(00)00585-8
Web of Science® Google Scholar
19 J.F. Shapiro: “Challenges of strategic supply chain planning and modelling”, Comp. Chem. Eng. 28 (2004) 855–861.
10.1016/j.compchemeng.2003.09.013
CAS Web of Science® Google Scholar
20 B.B. Howard, M. Upton: Introduction to Business Finance, McGraw-Hill, New York 1953.
Google Scholar
21 G. Yi, G.V. Reklaitis: “Optimal design of batch-storage network with financial transactions and cash flows”, AIChE J. 50 (2004) no. 11, 2849–2865.
10.1002/aic.10273
CAS Web of Science® Google Scholar
22 G. Yi, G.V. Reklaitis: “Optimal design of batch-storage network considering exchange rates and taxes”, AIChE J. 53 (2007) no. 5 1211–1231.
10.1002/aic.11161
CAS Web of Science® Google Scholar
23 J. Gjerdrum, N. Shah, L.G. Papageorgiou: “Transfer prices for multienterprise supply chain optimization”, Ind. Eng. Chem. Res. 40 (2001) 1650–1660.
10.1021/ie000668m
CAS Web of Science® Google Scholar
24 J. Nash: “The bargaining problem”, Econometrica 18 (1950) 155–162.
10.2307/1907266
Web of Science® Google Scholar
25 J.C. Harsanyi: Rational behavior and bargaining equilibrium in games and social situations, Technical report, Cambridge University, Cambridge 1977.
Google Scholar
26 C.L. Chen, B.W. Wang, W.C. Lee: “Multi-objective optimization for a multienterprise supply chain network”, Ind. Eng. Chem. Res. 42 (2003) 1879–1889.
10.1021/ie0206148
CAS Web of Science® Google Scholar
27 H. Oh, I.A. Karimi: “Regulatory factors and capacity-expansion planning in global chemical supply chains”, Ind. Eng. Chem. Res. 43 (2004) 3364–3380.
10.1021/ie034339g
CAS Web of Science® Google Scholar
28 M. Badell, J. Romero, R. Huertas, L. Puigjaner: “Planning, scheduling and budgeting value-added chains”, Comp. Chem. Eng. 28 (2004) 45–61.
10.1016/S0098-1354(03)00163-7
CAS Web of Science® Google Scholar
29 G. Guillén, M. Badell, A. Espuña, L. Puigjaner: “Simultaneous optimization of process operations and financial decisions to enhance the integrated planning/ scheduling of chemical supply chains”, Comp. Chem. Eng. 30 (2006) 421–436.
10.1016/j.compchemeng.2005.10.015
CAS Web of Science® Google Scholar
30 W. Klibi, A. Martel, A. Guitouni: “The design of robust value-creating supply chain networks: A critical review”, European Journal of Operational Research 203 (2009) 283–293.
10.1016/j.ejor.2009.06.011
Web of Science® Google Scholar
31 J.M. Laínez, G. Guillén-Gosálbez, M. Badell, A. Espuña, L. Puigjaner: “Enhancing corporate value in the optimal design of chemical supply chains”, Ind. Eng. Chem. Res. 46 (2007) 7739–7757.
10.1021/ie070181e
CAS Web of Science® Google Scholar
32 J. Grant: Foundations of Economic Value Added, John Wiley and Sons, New York 2003.
Google Scholar
33 V.A. Varma, G.E. Blau, J.F. Pekny, G.V. Reklaitis: “Enterprise-wide modeling & optimization - an overview of emerging research challenges and opportunities”, Comp. Chem. Eng. 31 (2007) 692–711.
10.1016/j.compchemeng.2006.11.007
CAS Web of Science® Google Scholar
34 C.W. Schmidt, I.E. Grossmann: “Optimization models for the scheduling of testing tasks in new product development”, Ind. Eng. Chem. Res. 35 (1996) 3498–3510.
10.1021/ie9601099
CAS Web of Science® Google Scholar
35 C.T. Maravelias, I.E. Grossmann: “Simultaneous planning for new product development and batch manufacturing facilities”, Ind. Eng. Chem. Res. 40 (2001) 6147–6164.
10.1021/ie010301x
CAS Web of Science® Google Scholar
36 L.G. Papageorgiou, G.E. Rotstein, N. Shah: “Strategic supply chain optimization for the pharmaceutical industries”, Ind. Eng. Chem. Res. 40 (2001) 275–286.
10.1021/ie990870t
CAS Web of Science® Google Scholar
37 A. Levis, L.G. Papageorgiou: “A hierarchical solution approach for multi-site capacity planning under uncertainty in the pharmaceutical industry”, Comp. Chem. Eng. 28 (2004) 707–725.
10.1016/j.compchemeng.2004.02.012
CAS Web of Science® Google Scholar
38 G. Fandel, M. Stammen: “A general model for extended strategic supply chain management with emphasis on product life cycles including development and recycling”, International Journal of Production Economics 89 (2004) 293–308.
10.1016/S0925-5273(03)00198-1
Web of Science® Google Scholar
39 A. Sundaramoorthy, I.A. Karimi: “Planning in pharmaceutical supply chain with outsourcing and new products introduction”, Ind. Eng. Chem. Res. 43 (2004) 8293–8306.
10.1021/ie049857l
CAS Web of Science® Google Scholar
40 D. Subramanian, J.F. Pekny, G.V. Reklaitis: “A Simulation-Optimization Framework for Research andDevelopment PipelineManagement”, AIChE J. 47 (2001) 2226–2242.
10.1002/aic.690471010
CAS Web of Science® Google Scholar
41 D. Subramanian, J.F. Pekny, G.V. Reklaitis, G.E. Blau: “Simulation-Optimization Framework for Stochastic Optimization of R&D Pipeline Management”, AIChE J. 49 (2003) 96–112.
10.1002/aic.690490110
CAS Web of Science® Google Scholar
42 J.C. Zapata, V.A. Varma, G.V. Reklaitis: “Impact of tactical and operational policies in the selection of a new product portfolio”, Comp. Chem. Eng. 32 (2008) 307–319.
10.1016/j.compchemeng.2007.03.024
CAS Web of Science® Google Scholar
43 M. Colvin, C.T. Maravelias: “A stochastic programming approach for clinical trial planning in new drug development”, Comp. Chem. Eng. 32 (2008) 2626–2642.
10.1016/j.compchemeng.2007.11.010
CAS Web of Science® Google Scholar
44 J.M. Laínez, G.V. Reklaitis, L. Puigjaner Enhancing value in supply chains by integrating capacity allocation decisions and R&D pipeline management, in M. Ierapetritou, M. Bassett, S. Pistikopoulos (eds.): Foundations of Computer-Aided Process Operations (FOCAPO), Austin, TX, 2008, pp. 489–492.
Google Scholar
45 R.D. Klassen, P.F. Johnson: Understanding Supply Chains: Concepts, Critiques & Futures, Oxford University Press, Oxford 2004, pp. 229–251.
Google Scholar
46 S.K. Srivastava: “Green supply chain management: A state of the art literature review”, International Journal of Management Reviews 9 (2007) 53–80.
10.1111/j.1468-2370.2007.00202.x
Web of Science® Google Scholar
47 L. Puigjaner, G. Guillén: “Towards an integrated framework for supply chain management in the batch chemical process industry”, Comp. Chem. Eng. 32 (2007) 650–670.
10.1016/j.compchemeng.2007.02.004
CAS Web of Science® Google Scholar
48 Z. Zhou, S. Cheng, B. Hua: “Supply chain optimization of continuous processes industries with sustainability considerations”, Comp. Chem. Eng. 24 (2000) 1151–1158.
10.1016/S0098-1354(00)00496-8
CAS Web of Science® Google Scholar
49 M. Türkay, C. Oruç, K. Fujita, T. Asakura: “Multi-company collaborative supply chain management with economical and environmental considerations”, Comp. Chem. Eng. 28 (2004) 985–992.
10.1016/j.compchemeng.2003.09.005
CAS PubMed Web of Science® Google Scholar
50 A. Soylu, C. Oruç, M. Türkay, K. Fujita, T. Asakura: “Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP”, European Journal of Operational Research 174 (2006) 387–403.
10.1016/j.ejor.2005.02.042
Web of Science® Google Scholar
51 A. Hugo, E.N. Pistikopoulos: “Environmentally conscious long-range planning and design of supply chain networks”, J. Cleaner Prod. 13 (2005) 1471–1491.
10.1016/j.jclepro.2005.04.011
Web of Science® Google Scholar
52 F.D. Mele, A. Espuña, L. Puigjaner: Environmental impact considerations into supply chain management based on life cycle assessment, in F. Castells, J. Rieradeball (eds.): Innovation by Life Cycle Management (LCM) International Conference 2005, Publicaciones UPC, Barcelona pp. 428–433.
Google Scholar
53 F.D. Mele, A. Espuña, L. Puigjaner: “A simulation-based optimization framework for parameter optimization of supply-chain networks”, Ind. Eng. Chem. Res. 45 (2006) 3133–3148.
10.1021/ie051121g
CAS Web of Science® Google Scholar
54 F.D. Mele, A. Espuña, L. Puigjaner: “Supply chain management through dynamic model parameters optimization”, Ind. Eng. Chem. Res. 45 (2006) 1708–1721.
10.1021/ie050189t
CAS Web of Science® Google Scholar
55 L. Puigjaner, A. Espuña: “Integration in supply chain management”, Computer Aided Product and Process Engineering 2 (2006) 695–730.
10.1002/9783527619856.ch23
Google Scholar
56 A. Bojarski et al.: “Incorporating environmental impacts and regulations in a holistic supply chains modeling: An LCA approach”, Comp. Chem. Eng. 33 (2009) 1747–1759.
10.1016/j.compchemeng.2009.04.009
CAS Web of Science® Google Scholar
57 G. Guillén-Gosálbez, I.E. Grossmann: “Optimal Design and Planning of Sustainable Chemical Supply Chains Under Uncertainty”, AIChE J. 55 (2009) 99–121.
10.1002/aic.11662
CAS Web of Science® Google Scholar
58 L.G. Papageorgiou: “Supply chain optimization for the process industries: advances and opportunities”, Comp. Chem. Eng. 33 (2009) 1931–1938.
10.1016/j.compchemeng.2009.06.014
CAS Web of Science® Google Scholar
59 M.P. Fleischmann et al.: “The impact of product recovery on logistics network design”, Production and Operations Management 10 (2001) 156–173.
10.1111/j.1937-5956.2001.tb00076.x
PubMed Web of Science® Google Scholar
60 F.B. Schultmann, S. Engels, O. Rentz: “Closed-loop supply chains for spent batteries”, Interfaces 33 (2003) 57–71.
10.1287/inte.33.6.57.25183
Web of Science® Google Scholar
61 A.C.S. Amaro, A.P.F.D. Barbosa-Póvoa: “Planning and scheduling of industrial supply chains with reverse flows: A real pharmaceutical case study”, Comp. Chem. Eng. 32 (2008) 2606–2625.
10.1016/j.compchemeng.2008.03.006
CAS Web of Science® Google Scholar
62 T.M. Whitin: “Inventory control and price theory”, Management Science 2 (1955) 61–80.
10.1287/mnsc.2.1.61
Google Scholar
63 X. Chen, D. Simchi-Levi: Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The finite horizon case, Technical report, Massachusetts Institute of Technology, Massachusetts 2002.
Google Scholar
64 G. Guillén, M. Bagajewicz, S.E. Sequeira, A. Espuña, L. Puigjaner: “Management of pricing policies and financial risk as a key element for short term scheduling optimization”, Ind. Eng. Chem. Res. 44 (2005) 557–575.
10.1021/ie049423q
CAS Web of Science® Google Scholar
65 G. Guillén, C. Pina, A. Espuña, L. Puigjaner: “Optimal offer proposal policy in an integrated supply chain management environment”, Ind. Eng. Chem. Res. 44 (2005) 7405–7419.
10.1021/ie0493208
CAS Web of Science® Google Scholar
66 J.M. Laínez, G.V. Reklaitis, L. Puigjaner: “Linking marketing and supply chain models for improved business strategic decision support”, Comp. Chem. Eng. 34 (2010) 2107–2117.
10.1016/j.compchemeng.2010.07.018
CAS Web of Science® Google Scholar
67 A. Adhitya, R. Srinivasan, I.A. Karimi: “A model-based rescheduling framework for managing abnormal supply chain events”, Comp. Chem. Eng. 31 (2007) 496–518.
10.1016/j.compchemeng.2006.07.002
CAS Web of Science® Google Scholar
68 E. Camacho, C. Bordons: Model Predictive Control in the Process Industry, Springer Verlag, Berlin 1995.
10.1007/978-1-4471-3008-6
Google Scholar
69 S. Bose, J.F. Pekny: “A model predictive framework for planning and scheduling problems: a case study of consumer goods supply chain”, Comp. Chem. Eng. 24 (2000) 329–335.
10.1016/S0098-1354(00)00469-5
CAS Web of Science® Google Scholar
70 E. Perea-López, E. Ydstie, I. Grossmann: “A model predictive control strategy for supply chain optimization”, Comp. Chem. Eng. 27 (2003) 1201–1218.
10.1016/S0098-1354(03)00047-4
CAS Web of Science® Google Scholar
71 E. Perea-López et al.: “Dynamic modeling and decentralized control of supply chains”, Ind. Eng. Chem. Res. 40 (2001) 3369–3383.
10.1021/ie000573k
CAS Web of Science® Google Scholar
72 P. Seferlis, N. Giannelos: “A two-layered optimisation-based control strategy for multi-echelon supply chain networks”, Comp. Chem. Eng. 28 (2004) 799–809.
10.1016/j.compchemeng.2004.02.022
CAS Web of Science® Google Scholar
73 E. Mestan, M. Türkay, Y. Arkun: “Optimization of Operations in Supply Chain Systems Using Hybrid Systems Approach and Model Predictive Control”, Ind. Eng. Chem. Res. 45 (2006), 6493–6503.
10.1021/ie0511938
CAS Web of Science® Google Scholar
74 W. Wang, D.E. Rivera, K.G. Kempf: “Model predictive control strategies for supply chain management in semiconductor manufacturing”, International Journal of Production Economics 107 (2007) 56–77.
10.1016/j.ijpe.2006.05.013
Web of Science® Google Scholar
75 A.V. Fiacco: Introduction to Sensitivity and Stability Analysis in Nonlinear Programming, Academic Press, New York 1983.
Web of Science® Google Scholar
76 J. Acevedo, E.N. Pistikopoulos: “A parametric MINLP algorithm for process synthesis problem under uncertainty”, Ind. Eng. Chem. Res. 35 (1996) 147–158.
10.1021/ie950135r
CAS Web of Science® Google Scholar
77 P. Dua et al.: “MPC on a chip–Recent advances on the application of multi-parametric model-based control”, Comp. Chem. Eng. 32 (2008) 754–765.
10.1016/j.compchemeng.2007.03.008
CAS Web of Science® Google Scholar
78 E.N. Pistikopoulos: “Perspectives in Multiparametric Programming and Explicit Model Predictive Control”, AIChE J. 55 (2009) 1918–1925.
10.1002/aic.11965
CAS Web of Science® Google Scholar
79 E.N. Pistikopoulos et al.: “On-line optimization via off-line parametric optimization tools”, Comp. Chem. Eng. 26 (2002) 175–185.
10.1016/S0098-1354(01)00739-6
CAS Web of Science® Google Scholar
80 J. Ryu, V. Dua, E.N. Pistikopoulos: “Proactive Scheduling under Uncertainty: A Parametric Optimization Approach”, Ind. Eng. Chem. Res. 46 (2007) 8044–8049.
10.1021/ie070018j
CAS Web of Science® Google Scholar
81 J. Ryu, E.N. Pistikopoulos: “A novel approach to scheduling of zero-wait batch processes under processing time variations”, Comp. Chem. Eng. 31 (2007) 101–106.
10.1016/j.compchemeng.2006.05.006
CAS Web of Science® Google Scholar
82 I. Banerjee, M.G. Ierapetritou: “Parametric process synthesis for general nonlinear models”, Comp. Chem. Eng. 27 (2003) 1499–1512.
10.1016/S0098-1354(03)00096-6
CAS Web of Science® Google Scholar
83 Z. Li, M.G. Ierapetritou: “Process Scheduling Under Uncertainty Using Multiparametric Programming”, AIChE J. 53 (2007) 3183–3203.
10.1002/aic.11351
CAS Web of Science® Google Scholar
84 N. V. Sahinidis: “Optimization under uncertainty: state-of-the-art and opportunities”, Comp. Chem. Eng. 28 (2004) 971–983.
10.1016/j.compchemeng.2003.09.017
CAS Web of Science® Google Scholar
85 A.F. Barbaro, M. J. Bagajewicz: “Use of inventory and option contracts to hedge financial risk in planning under uncertainty”, AIChE J. 50 (2004) 990–998.
10.1002/aic.10095
CAS Web of Science® Google Scholar
86 M.J. Bagajewicz: Chemical Engineering: Trends and Developments, J. Wiley & Sons, New York 2005.
Google Scholar
87 J.M. Mulvey, R.J Vanderbei, S.A Zenios: “Robust optimization of large-scale systems”, Operations Research 43 (1995) 264–281.
10.1287/opre.43.2.264
Web of Science® Google Scholar
88 G.D. Eppen, R.K. Martin, L. Schrage: “A scenario approach to capacity planning”, Operations Research 37 (1989) 517–527.
10.1287/opre.37.4.517
Web of Science® Google Scholar
89 A. Gupta, C.D. Maranas: “A two-stage modeling and solution framework for multisite midterm planning under demand uncertainty”, Ind. Eng. Chem. Res. 39 (2000) 3799–3813.
10.1021/ie9909284
CAS Web of Science® Google Scholar
90 A. Gupta, C.D. Maranas: “Managing demand uncertainty in supply chain planning”, Comp. Chem. Eng. 27 (2003) 1219–1227.
10.1016/S0098-1354(03)00048-6
CAS Web of Science® Google Scholar
91 P. Tsiakis, N. Shah, C.C. Pantelides: “Design of multi-echelon supply chain networks under demand uncertainty”, Ind. Eng. Chem. Res. 40 (2001) 3585–3604.
10.1021/ie0100030
CAS PubMed Web of Science® Google Scholar
92 G. Guillén, F. Mele, A. Espuña, L. Puigjaner: “Addressing the design of chemical supply chains under demand uncertainty”, Ind. Eng. Chem. Res. 45 (2006) no. 22, 7566–7581.
10.1021/ie051424a
CAS Web of Science® Google Scholar
93 H.M. Lababidi, M.A. Ahmed, I.M. Alatiqi, A.F. Al-Enzi: “Optimizing the supply chain of a petrochemical company under uncertain operating and economic conditions”, Ind. Eng. Chem. Res. 43 (2004) 63–73.
10.1021/ie030555d
CAS Web of Science® Google Scholar
94 G. Guillén, A. Espuña, L. Puigjaner: “Addressing the scheduling of chemical supply chains under demand uncertainty”, AIChE J. 52 (2006) no. 11, 3864–3881.
10.1002/aic.10973
CAS Web of Science® Google Scholar
95 C. Chen, W. Lee: “Multi-objective optimization of multi-echelon supply chain networks with uncertain demands and prices”, Comp. Chem. Eng. 28 (2004) 1131–1144.
10.1016/j.compchemeng.2003.09.014
CAS Web of Science® Google Scholar
96 G. Guillén et al.: “Multiobjective supply chain design under uncertainty”, Chem. Eng. Sci. 60 (2005) 1535–1553.
10.1016/j.ces.2004.10.023
CAS Web of Science® Google Scholar
97 K. Al-Qahtani, A. Elkamel, K. Ponnambalam: “Robust Optimization for Petrochemical Network Design under Uncertainty”, Ind. Eng. Chem. Res. 47 (2008) 3912–3919.
10.1021/ie0713184
CAS Web of Science® Google Scholar
98 H. Lakkhanawat, M.J. Bagajewicz: “Financial Risk Management with Product Pricing in the Planning of Refinery Operations”, Ind. Eng. Chem. Res. 47 (2008) 6622–6639.
10.1021/ie0710770
CAS Web of Science® Google Scholar
99 K. Mitra et al.: “Midterm Supply Chain Planning under Uncertainty: A Multiobjective Chance Constrained Programming Framework”, Ind. Eng. Chem. Res. 47 (2008) 5501–5511.
10.1021/ie0710364
CAS Web of Science® Google Scholar
100 C.M. McDonald, I.A. Karimi: “Planning and scheduling of parallel semicontinuous processes. 1. Production planning”, Ind. Eng. Chem. Res. 36 (1997) 2691–2700.
10.1021/ie960901+
CAS Web of Science® Google Scholar
101 F. You, I.E. Grossmann: “Design of responsive supply chains under demand uncertainty”, Comp. Chem. Eng. 32 (2008) 3090–3111.
10.1016/j.compchemeng.2008.05.004
CAS Web of Science® Google Scholar
102 J. Acevedo, E.N. Pistikopoulos: “A Hybrid Parametric/Stochastic Programming Approach for Mixed-Integer Linear Problems under Uncertainty”, Ind. Eng. Chem. Res. 36 (1997) 2262–2270.
10.1021/ie960708f
CAS Web of Science® Google Scholar
103 T.S. Hené, V. Dua, E.N. Pistikopoulos: “A Hybrid Parametric/Stochastic Programming Approach for Mixed-Integer Nonlinear Problems under Uncertainty”, Ind. Eng. Chem. Res. 41 (2002) 67–77.
10.1021/ie0100582
CAS Web of Science® Google Scholar
104 J.Y. Jung, G. Blau, J.F. Pekny, G.V. Reklaitis, D. Eversdyk: “A simulation based optimization approach to supply chain management under demand uncertainty”, Comp. Chem. Eng. 28 (2004) 2087–2106.
10.1016/j.compchemeng.2004.06.006
CAS Web of Science® Google Scholar
105 J.Y. Jung, G. Blau, J.F. Pekny, G.V. Reklaitis, D. Eversdyk: “Integrated safety stock management for multi-stage supply chains under production capacity constraints”, Comp. Chem. Eng. 32 (2008) 2570–2581.
10.1016/j.compchemeng.2008.04.003
CAS Web of Science® Google Scholar
106 L. Puigjaner, J.M. Laínez, C.R. Alvarez: “Tracking the Dynamics of the Supply Chain for Enhanced Production Sustainability”, Ind. Eng. Chem. Res. 48 (2009) 9556–9570.
10.1021/ie801973n
CAS Web of Science® Google Scholar
107 G.V. Reklaitis: “Reviewing of Scheduling of Process Operations”, AIChE Symp. Ser. 214 (1982) 119–133.
Google Scholar
108 E. Kondili, C.C. Pantelides, R.W.H. Sargent: “A general algorithm for short-term scheduling of batch operations-I MILP formulation”, Computers Comp. Chem. Eng. 17 (1993) 211–227.
10.1016/0098-1354(93)80015-F
Web of Science® Google Scholar
109 M. Lázaro, L. Puigjaner: “Simulation and Optimisation of Multiproduct Plants for Batch and Semi-batch Processes”, I. Chem. Eng. Symp. Ser. 92 (1985) 209–222.
Google Scholar
110 S.J. Honkomp, S. Lombardo, O. Rosen: “The curse of reality-why process scheduling optimization problems are difficult in practice”, Comp. Chem. Eng. 24 (2000) 323–328.
10.1016/S0098-1354(00)00468-3
CAS Web of Science® Google Scholar
111 C.A. Mendéz et al.: “State-of-the-art review of optimization methods for short-term scheduling of batch processes”, Comp. Chem. Eng. 30 (2006) 913–946.
10.1016/j.compchemeng.2006.02.008
CAS Web of Science® Google Scholar
112 C.C. Pantelides: “Unified frameworks for optimal process planning and Scheduling”, 2nd. Conf. Foundations of Comp. Aided Proc Op., CACHE Corp., New York 1994, pp. 253–274,
Google Scholar
113 G. Schilling, C. Pantelides: “A Simple Continuous Time Process Scheduling Formulation and a novel Solution Algorithm”, Comp. Chem. Eng. 20 (1996) S1221–S1226.
10.1016/0098-1354(96)00211-6
CAS Web of Science® Google Scholar
114 J.M. Pinto, I.E. Grossmann: “A continous time MILP model for short term scheduling of batch plants with pre-ordering constraints”, Comp. Chem. Eng. 20 (1996) S1197–S1202.
10.1016/0098-1354(96)00207-4
CAS Web of Science® Google Scholar
115 L. Mockus, G.V. Reklaitis: “Continous Tiume Representation Approach to Batch andContinuous Process Scheduling. 1. MINLP Formulation”, Ind. Eng. Chem. Res. 38 (1999) 197–203.
10.1021/ie970311r
CAS Web of Science® Google Scholar
116 L. Mockus, G.V. Reklaitis: “Continuous Time Representation Approach to Batch andContinuous Process Scheduling. 2. Computational Issues”, Ind. Eng. Chem. Res. 38 (1999) 204–210.
10.1021/ie970312j
CAS Web of Science® Google Scholar
117 X. Zhang and R.W.H. Sargent: “The Optimal Operation of Mixed Production Facilities-Extensions and Improvements”, Comp. Chem. Eng. 20 (1996) S1287–S1292.
10.1016/0098-1354(95)00186-7
Web of Science® Google Scholar
118 X.X. Zhu, T. Majozi: “Novel Continuous Time MILP Formulation for Multipurpose Batch Plants. 2. Integrated Planning and Scheduling”, Ind. Eng. Chem. Res. 40 (2001) 5621–5634.
10.1021/ie000597r
CAS Web of Science® Google Scholar
119 M.G. Ierapetritou, C.A. Floudas: “Effective continuous-time formulation for short-term scheduling: 1. multipurpose batch processes”, Ind. Eng. Chem. Res. 37 (1998) 4341–4359.
10.1021/ie970927g
CAS Web of Science® Google Scholar
120 J.P. Vin, M.G. Ierapetritou: “A new approach for efficient rescheduling of multiproduct batch plants”, Ind. Eng. Chem. Res. 39 (2000) 4228–4238.
10.1021/ie000233z
CAS Web of Science® Google Scholar
121 X. Lin, C.A. Floudas, S. Modi, N.M. Juhasz: “Continuous-time optimization approach for medium-range production scheduling of a multiproduct batch plant”, Ind. Eng. Chem. Res. 41 (2002) 3884–3906.
10.1021/ie011002a
CAS Web of Science® Google Scholar
122 S. Janak, X. Lin, C.A. Floudas: “Enhanced continuous-time unit-specific event-based formulation for short-term scheduling of multipurpose batch processes: Resource constraints and mixed storage policies””, Ind. Eng. Chem. Res. 43 (2004) 2516–2533.
10.1021/ie0341597
CAS Web of Science® Google Scholar
123 J. Cerdá, P. Henning, I.E. Grossmann: “A mixed integer linear programming model for short-term scheduling of single-stage multiproduct batch plants with parallel lines”, Ind. Eng. Chem. Res. 36 (1997) 1695–1707.
10.1021/ie9605490
CAS Web of Science® Google Scholar
124 C.A. Méndez, G.P. Henning, J. Cerdá: “An MILP continuous time approach to short-term scheduling of resource-constrained multistage flowshop batch facilities”, Comp. Chem. Eng. 25 (2001) 701–711.
10.1016/S0098-1354(01)00671-8
CAS PubMed Web of Science® Google Scholar
125 S. Ferrer-Nadal; L. Puigjaner, G. Guillén-Gosálbez: “Managing risk through a flexible recipe framework”, AIChE J. 54 (2008) 728–740.
10.1002/aic.11404
CAS Web of Science® Google Scholar
126 M. Graells, A. Espuña, L. Puigjaner: ”Sequencing Intermediate Products: A Practical Solution for Multipurpose Production Scheduling”, Comp. Chem. Eng. 20 (1996) 1137–1142.
10.1016/0098-1354(96)00197-4
Google Scholar
127 E. Sanmartí, C.A. Méndez, M. Graells, L. Puigjaner: “Combinatorial Framework for Effective Scheduling of Multipurpose Batch Plants”, AIChE J. 48 (2002) 2557–2570.
10.1002/aic.690481115
CAS Web of Science® Google Scholar
128 E. Sanmartí et al.: “A Combined Scheduling/ Reactive Scheduling Strategy to Minimize the Effect of Process Operations Uncertainty in Batch Plants”, Comp. Chem. Eng. 20 (1996) 1263–1268.
10.1016/0098-1354(96)00218-9
Web of Science® Google Scholar
129 A.D. Mauderli, W.T. Rippin: “Production planning and scheduling for multi-purpose batch chemical plants”, Comp. Chem. Eng. 3 (1979) 199–206.
10.1016/0098-1354(79)80033-2
Web of Science® Google Scholar
130 S. Ferrer-Nadal, C.A. Méndez, M. Graells, L. Puigjaner: “Optimal Reactive Scheduling of Manufacturing Plants with Flexible Batch Recipes”, Ind. Eng. Chem. Res. 46 (2007) 6273–6283.
10.1021/ie061255+
CAS Web of Science® Google Scholar
131 J. Romero, A. Espuña, F. Friedler, L. Puigjaner: “A New Framework for Batch Process Optimization Using the Flexible Recipe”, Ind. Eng. Chem. Res. 42 (2003) 370–379.
10.1021/ie020002n
CAS Web of Science® Google Scholar
132 K.J. Keesman: “Application of Flexible Recipes for Model Building, Batch Process Optimization and Control”, AIChE J. 28 (1993) 581–588.
10.1002/aic.690390406
Web of Science® Google Scholar
133 K. Kuriyan, G.V. Rekalitis: “Scheduling Network Flowshops so as to Minimise Makespan”, Comp. Chem. Eng. 13 (1998) 187–200.
10.1016/0098-1354(89)89017-9
Web of Science® Google Scholar
134 D. Lee, Y. Kim: “Scheduling Algorithms for Flexible Manufacturing Systems with Partially Grouped Machines”, Journal of Manufacturing Systems 18 (199) no. 4, 301–309.
10.1016/S0278-6125(00)86632-7
Web of Science® Google Scholar
135 T. Yoshida, H. Touzaki: “A Study on Association among Dispatching Rules in Manufacturing Scheduling Problems”, 7th IEEE International Conference on Emerging Technologies and Factory Automation, vol. 2, IEEE, New York 1999, pp. 1355–1360.
Google Scholar
136 S. Lee, J. Bok, S. Park: “A New Algorithm for Large-Scale Scheduling Problems: Sequence Branch Algorithm”, Ind. Eng. Chem. Res. 37 (1998) no. 10, 4049–4058.
10.1021/ie980103e
CAS Web of Science® Google Scholar
137 H. Ku, I.A. Karimi: “An Eevaluation of Simulated Annealing for Batch Process Scheduling”, Ind. Eng. Chem. Res. 30 (1991) 163–169.
10.1021/ie00049a024
CAS Web of Science® Google Scholar
138 S. Park, J.H. Jung: “Completion Times Algorithm and Optimal Scheduling of Single Line Multi-purpose Batch Process”, Comp. Chem. Eng. 23 (1999) 543–546.
10.1016/S0098-1354(99)80134-3
Google Scholar
139 J.H. Jung, C.H. Lee, I. Lee: “Short note A genetic algorithm for scheduling of multi-product batch processes”, Comp. Chem. Eng. 22 (1998) no. 11, 1725–1730.
Web of Science® Google Scholar
140 C. Azzaro-Pantel et al.: “A two-stage methodology for short-term batch plant scheduling: discrete-event simulation and genetic algorithm”, Comp. Chem. Eng. 22 (1998) 1461–1481.
10.1016/S0098-1354(98)80033-1
CAS Web of Science® Google Scholar
141 L. Wang et al.: “A genetic algorithm for online-scheduling of a multiproduct polymer batch plant”, Comp. Chem. Eng. 24 (2000) 393–400.
10.1016/S0098-1354(00)00427-0
CAS Web of Science® Google Scholar
142 K. Noze, A. Hiramatsu, M. Konishi: “Using Genetic Algorithm for Job-shop Scheduling Problems with Reentrant Product Flows”, 7th IEEE International Conference on Emerging Technologies and Factory Automation, vol. 2, IEEE, New York 1999, pp. 1355–1360.
Google Scholar
143 V.K. Jayaraman, B.D. Kulkarni, S. Karale, P. Shelokar: “Ant colony framework for optimal design and scheduling of batch plants”, Comp. Chem. Eng. 24 (2000) 1901–1912.
10.1016/S0098-1354(00)00592-5
CAS Web of Science® Google Scholar
144 J. Sauer, R. Bruns: “Knowledge-Based Scheduling Systems in Industry and Medicine” IEEE Expert 12 (1997) 24–39.
10.1109/64.577410
Web of Science® Google Scholar
145 S. Graham: “Does APS work in process industries?”, Control 26 (2000) no. 4.
Google Scholar
146 R. Sadowski: “Selecting Scheduling software”, IIE Solutions 30 (1998) 45–47.
Web of Science® Google Scholar
147 L. Puigjaner, M. Graells, G. V, Reklaitis: “Computer Tools for Discrete/Hybrid Production Systems”, Comput.-Aided Chem. Eng. 11 (2002) 433–452.
10.1016/S1570-7946(02)80020-7
CAS Google Scholar
148 R.L. LaForge, C.W. Craighead: “Computer-based scheduling in manufacturing firms: Some indicators of succesful practice”, Production and Inventory Management Journal 41 (2000) no. 1, 29–34.
Google Scholar
149 J. McCall: “Is APS Technology Obsolete?”, Integrated Solutions 5 (2001) no. 4, 72–76.
Google Scholar
150 C. Thomas: “Implementing APS in the nuclear pharmaceutical industry”, Control 25 (1999) no. 10.
Google Scholar
151 C.E. Morris: “Scheduling software: A key B2B link”, Food Engineering 72 (2000) no. 11.
Google Scholar
152 E. Stene: “Advanced Planning & Scheduling systems (APS) - Essential or nice to have?”, Control 25 (1999) no. 7, 27–31.
Google Scholar
153 A. Ferrar: “Integrationg APS and ERP”, Control 27 (2001) no. 2.
Google Scholar
154 International Soc. for Measurement and Control, ANSI/ISA-S88.01-1995, Batch Control, Part 1: Models and Terminology, Washington, DC 1995.
Google Scholar
155 International Soc. for Measurement and Control, ANSI/ISA-S88.02-1999, Batch Control, Part 2: Data Structures and Guidelines for Languages, Draft 14, Washington, DC 1999.
Google Scholar
156 N. Haxthausen: “The Painkiller for batch control headaches”, Chem. Eng. 102 (1995) 118–124.
Web of Science® Google Scholar
157 International Soc. for Measurement and Control, ISAdS95.01-1999 Enterprise Control System Integration, Part 1: Models and Terminology, Draft 13, Washington, DC 2000.
Google Scholar
158 C.S. Tang: “Perspectives in supply chain risk management”, International Journal of Production Economics 103 (2006) 451–488.
10.1016/j.ijpe.2005.12.006
Web of Science® Google Scholar
159 R.F. Handfield, E.L. Nichols: Introduction to supply chain management, Prentice Hall, Englewood Cliffs, NY, 1999.
Google Scholar
160 S. Hameed: How should we define supply chain management?, Technical report, SAP Labs, Walldorf, Germany 2007.
Google Scholar
161 J.F. Shapiro: Modeling the Supply Chain, Cengage Learning, Duxbury 2006.
Google Scholar
162 I.E. Grossmann: “Enterprise-wide optimization: A new frontier in process systems engineering”, AIChE J. 51 (2005) 846–1857.
10.1002/aic.10617
CAS Web of Science® Google Scholar
163 B.S. Blanchard: Logistics Engineering and Management, 6th ed., Prentice Hall, Englewood Cliffs, NY, 2004.
Google Scholar
164 W.T. Morris: “On the Art of Modeling”, Management Science 13 (1967) B707–B717.
10.1287/mnsc.13.12.B707
CAS Google Scholar
165 M.A. Vonderembse, M. Uppal, S.H. Huang, J.P. Dismukes: “Designing supply chains: Towards theory development”, International Journal of Production Economics 100 (2006) 223–238.
10.1016/j.ijpe.2004.11.014
Web of Science® Google Scholar
166 H. Min, G. Zhou: “Supply chain modeling: past, present and future”, Comp. Ind. Eng. 43 (2002) 231–249.
10.1016/S0360-8352(02)00066-9
PubMed Web of Science® Google Scholar
167 S.C. Graves, S.P. Willems: Supply Chain Management: Design, Coordination and Operation, in Handbooks in Operations Research and Management Science, vol. 11, Elsevier, Amsterdam 2003.
Google Scholar
168 J.M. Laínez, G. Kopanos, A. Espuña, L. Puigjaner: “Flexible Design-Planning of Supply Chain Networks”, AIChE J. 55 (2009) 1736–1753.
10.1002/aic.11942
CAS Web of Science® Google Scholar
169 M.T Melo, S. Nickel, F. Saldanha: “Facility location and supply chain management– A review”, European Journal of Operational Research 196 (2009) 401–412.
10.1016/j.ejor.2008.05.007
Web of Science® Google Scholar
170 S. Humbert, M. Margni, O. Jolliet: IMPACT 2002+: User Guide Draft for version 2.1. Technical report, Industrial Ecology & Life Cycle Systems Group, GECOS, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne 2005.
Google Scholar
171 R. Heijungs, S. Suh: The Computational Structure of Life Cycle Assessment, Kluwer Academic Publishers, Amsterdam 2002.
10.1007/978-94-015-9900-9
Google Scholar
172 K. Hendricks, V. Singhal: “An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm”, Production and Operations Management 14 (2005) 35–52.
10.1111/j.1937-5956.2005.tb00008.x
Web of Science® Google Scholar
173 I.E. Grossmann: “Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment”, Comp. Chem. Eng. 29 (2004) no. 1, 29–39.
10.1016/j.compchemeng.2004.07.016
CAS Web of Science® Google Scholar
174 M.G. Ierapetritou, E.N. Pistikopoulos: “Batch plant design and operations under uncertainty”, Ind. Eng. Chem. Res. 35 (1996) 772–787.
10.1021/ie950263f
CAS Web of Science® Google Scholar
175 A. Bonfill, A. Espuña, L. Puigjaner: “Addressing robustness in scheduling batch processes with uncertain operation times”, Ind. Eng. Chem. Res. 44 (2005), 1524–1534.
10.1021/ie049732g
CAS Web of Science® Google Scholar
176 D.C. Montgomery, L.A. Johnson, J.S. Gardiner: Forecasting and Time Series Analysis, McGraw-Hill, New York 1990.
Google Scholar
177 L. Puigjaner, J.M. Laínez: “Capturing dynamics in integrated supply chain management”, Comp. Chem. Eng. 32 (2008) 2582–2605.
10.1016/j.compchemeng.2007.10.003
CAS Web of Science® Google Scholar
178 Z. Li, M.G. Ierapetritou: “Production planning and scheduling integration through augmented Lagrangian optimization”, Comp. Chem. Eng. 34 (2010) 996–1006.
10.1016/j.compchemeng.2009.11.016
CAS PubMed Web of Science® Google Scholar
179 C. Sung, C.T. Maravelias, “An Attainable Region Approach for Effective Production Planning of Multi-product Processes”. AIChE J. 53 (2007) 1298–1315.
10.1002/aic.11167
CAS Web of Science® Google Scholar
180 J. Balasubramanian, I.E. Grossmann: “Approximation to multistage stochastic optimization in multiperiod batch plant scheduling under demand uncertainty”, Ind. Eng. Chem. Res. 43 (2004) 3695–3713.
10.1021/ie030308+
CAS Web of Science® Google Scholar
181 Y.H. Lee et al.: “Supply chain simulation with discrete-continuous combined modelling”, Comp. Ind. Eng. 43 (2002) 375–392.
10.1016/S0360-8352(02)00080-3
Web of Science® Google Scholar
182 S. Biswas, Y. Narahari: “Object oriented modeling and decision support for supply chains”, European Journal of Operational Research 153 (2004) 704–726.
10.1016/S0377-2217(02)00806-8
Web of Science® Google Scholar
183 Simulation tools: www.arenasimulation.com (accessed 1 March 2012).
Google Scholar
184 Simulation tools: www.logsim.co.uk (accessed 1 March 2012).
Google Scholar
185 S. Bagchi et al.: “Experience using the IBM simulator”, Winter Simulation Conference 1998 IEEE, New York, pp. 1387–1394.
Google Scholar
186 Simulation tools: www.jda.com (accessed 1 March 2012).
Google Scholar
187 Simulation tools: www.sap.com (accessed 1 March 2012).
Google Scholar
188 Simulation tools: www.manugistics.com (accessed 1 March 2012).
Google Scholar
189 Simulation tools: www.txtgroup.com (accessed 1 March 2012).
Google Scholar
190 Simulation tools: http://www.inforiberica.com/index.htm (accessed, 27 March 2012).
Google Scholar
191 Simulation tools: www.aspentech.com (accessed 1 March 2012).
Google Scholar
192 SCM consulting companies: www.the-scg.com (accessed 1 March 2012).
Google Scholar
193 SCM consulting companies: www.supply-chain.org (accessed 1 March 2012).
Google Scholar
194 E. Muñoz, A. Espuña, L. Puigjaner: “Towards an ontological infrastructure for chemical batch process management”, Comp. Chem. Eng. 34 (2010) 668–682.
10.1016/j.compchemeng.2009.12.009
CAS Web of Science® Google Scholar
195 J. Morbach, A. Wiesner, W. Marquardt: “Ontocape 2.0: A (re)usable ontology for computer-aided process engineering”, Comp. Chem. Eng. 33 (2009) 1546–1556.
10.1016/j.compchemeng.2009.01.019
CAS Web of Science® Google Scholar

Citing Literature

Ullmann's Encyclopedia of Industrial Chemistry

Browse other articles of this reference work:

Process Systems Engineering, 8. Plant Operation, Integration, Planning, Scheduling, and Supply Chain

View previous versions

Process Control Engineering

Abstract

References

Citing Literature

References

Information

About Wiley Online Library

Help & Support

Opportunities

Connect with Wiley

Process Systems Engineering, 8. Plant Operation, Integration, Planning, Scheduling, and Supply Chain

View previous versions

Process Control Engineering

Abstract

References

Citing Literature

References

Related

Information