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15 - Integration of Production Planning and Scheduling

from Part IV - Special Topics

Published online by Cambridge University Press:  01 May 2021

Christos T. Maravelias
Affiliation:
Princeton University, New Jersey
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Summary

In Chapter 1, we introduced the supply chain planning matrix and its different planning functions, discussed how scheduling fits within this matrix, and mentioned that integration across functions can lead to better solutions. Chemical production scheduling interacts directly with two functions: (1) production planning, and (2) process automation and control (though the latter are not typically defined as functions of the SC matrix). Integration with automation and control were discussed in Chapter 14. In the present chapter, we discuss the integration of production planning and scheduling. We start, in Section 15.1, with some preliminary concepts and motivation for the need to integrate planning with scheduling. In Section 15.2, we present a formulation for an introductory planning-scheduling problem. We continue, in Section 15.3, with an approach for more complex problems, both in single- and multiunit environments. Finally, in Section 15.4, we overview a general but also algorithmically more advanced approach that is applicable to any production environment. For simplicity, in Sections 15.2 and 15.3, we do not consider special processing features, such as complex storage policies and utility constraints. The method in Section 15.4 can in principle be applied to any facility with any processing feature.

Type
Chapter
Information
Chemical Production Scheduling
Mixed-Integer Programming Models and Methods
, pp. 401 - 434
Publisher: Cambridge University Press
Print publication year: 2021

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References

Maravelias, CT, Sung, C. Integration of Production Planning and Scheduling: Overview, Challenges and Opportunities. Comput Chem Eng. 2009;33(12):19191930.CrossRefGoogle Scholar
Miller, AJ, Nemhauser, GL, Savelsbergh, MWP. A Multi-item Production Planning Model with Setup Times: Algorithms, Reformulations, and Polyhedral Characterizations for a Special Case. Math Program. 2003;95(1):7190.CrossRefGoogle Scholar
Pochet, Y, Wolsey, LA. Production Planning by Mixed Integer Programming. New York; Berlin: Springer; 2006. xxiii, 499 p. p.Google Scholar
Sung, C, Maravelias, CT. A Mixed-Integer Programming Formulation for the General Capacitated Lot-Sizing Problem. Comput Chem Eng. 2008;32(1–2):244259.CrossRefGoogle Scholar
Suerie, C, Stadtler, H. The Capacitated Lot-Sizing Problem with Linked Lot Sizes. Manage Sci. 2003;49(8):10391054.CrossRefGoogle Scholar
Suerie, C. Modeling of Period Overlapping Setup Times. Eur J Oper Res. 2006;174(2):874886.CrossRefGoogle Scholar
Kopanos, GM, Puigjaner, L, Maravelias, CT. Production Planning and Scheduling of Parallel Continuous Processes with Product Families. Ind Eng Chem Res. 2011;50(3):13691378.CrossRefGoogle Scholar
Erdirik-Dogan, M, Grossmann, IE. A Decomposition Method for the Simultaneous Planning and Scheduling of Single-Stage Continuous Multiproduct Plants. Ind Eng Chem Res. 2006;45(1):299315.CrossRefGoogle Scholar
Castro, PM, Erdirik-Dogan, M, Grossmann, IE. Simultaneous Batching and Scheduling of Single Stage Batch Plants with Parallel Units. AlChE J. 2008;54(1):183193.CrossRefGoogle Scholar
Chen, P, Papageorgiou, LG, Pinto, JM. Medium-Term Planning of Single-Stage Single-Unit Multiproduct Plants Using a Hybrid Discrete/Continuous-Time MILP Model. Ind Eng Chem Res. 2008;47(6):19251934.CrossRefGoogle Scholar
Liu, SS, Pinto, JM, Papageorgiou, LG. A TSP-Based MILP Model for Medium-Term Planning of Single-Stage Continuous Multiproduct Plants. Ind Eng Chem Res. 2008;47(20):77337743.CrossRefGoogle Scholar
Sung, C, Maravelias, CT. An Attainable Region Approach for Production Planning of Multiproduct Processes. AlChE J. 2007;53(5):12981315.CrossRefGoogle Scholar
Sung, C, Maravelias, CT. A Projection-Based Method for Production Planning of Multiproduct Facilities. AlChE J. 2009;55(10):26142630.CrossRefGoogle Scholar
Glasser, D, Crowe, C, Hildebrandt, D. A Geometric Approach to Steady Flow Reactors: The Attainable Region and Optimization in Concentration Space. Ind Eng Chem Res. 1987;26(9):18031810.CrossRefGoogle Scholar
Hildebrandt, D, Glasser, D. The Attainable Region and Optimal Reactor Structures. Chem Eng Sci. 1990;45(8):21612168.CrossRefGoogle Scholar
Benders, JF. Partitioning Procedures for Solving Mixed-Variables Programming Problems. Numerische Mathematik. 1962;4(1):238252.CrossRefGoogle Scholar
Sahinidis, NV, Grossmann, IE. Reformulation of Multiperiod MILP Models for Planning and Scheduling of Chemical Processes. Comput Chem Eng. 1991;15(4):255272.CrossRefGoogle Scholar
Karimi, IA, McDonald, CM. Planning and Scheduling of Parallel Semicontinuous Processes. 2. Short-Term Scheduling. Ind Eng Chem Res. 1997;36(7):27012714.CrossRefGoogle Scholar
McDonald, CM, Karimi, IA. Planning and Scheduling of Parallel Semicontinuous Processes. 1. Production Planning. Ind Eng Chem Res. 1997;36(7):26912700.CrossRefGoogle Scholar
Shah, NK, Ierapetritou, MG. Integrated Production Planning and Scheduling Optimization of Multisite, Multiproduct Process Industry. Comput Chem Eng. 2012;37:214226.CrossRefGoogle Scholar
Li, ZK, Ierapetritou, MG. Integrated Production Planning and Scheduling Using a Decomposition Framework. Chem Eng Sci. 2009;64(16):35853597.CrossRefGoogle Scholar
Dias, LS, Ierapetritou, MG. Data-Driven Feasibility Analysis for the Integration of Planning and Scheduling Problems. Optimization and Engineering. 2019;20(4):10291066.CrossRefGoogle Scholar
Brunaud, B, Amaran, S, Bury, S, Wassick, J, Grossmann, IE. Novel Approaches for the Integration of Planning and Scheduling. Ind Eng Chem Res. 2019;58(43):1997319984.CrossRefGoogle Scholar

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