Introduction

Christos T. Maravelias

doi:10.1017/9781316650998.003

1 - Introduction

from Part I - Background

Published online by Cambridge University Press: 01 May 2021

Christos T. Maravelias

Show author details

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

Book contents

Get access

Summary

This chapter provides an overview of scheduling and its role within a manufacturing organization, with special focus on the process industries. Section 1.1 introduces some preliminary concepts, including a definition of scheduling, some simple classes of problems, the role of scheduling in a manufacturing supply chain, and a general problem statement for chemical production scheduling. The different chemical production environments, which play a key role in the definition of the different classes of problems, are introduced in Section 1.2. Section 1.3 presents the different classes of problems, and Section 1.4 outlines the different approaches to scheduling. Finally, an outline of the book is presented in Section 1.5.

Keywords

Scheduling preliminaries scheduling applications supply chain planning functions manufacturing process industries optimization decisions problem classification modeling approaches

Type: Chapter
Information: Chemical Production Scheduling
Mixed-Integer Programming Models and Methods
, pp. 3 - 31

DOI: https://doi.org/10.1017/9781316650998.003 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Pinedo, M. Scheduling: Theory, Algorithms, and Systems. 3rd ed. New York; London: Springer; 2008.Google Scholar

Baker, KR. Introduction to Sequencing and Scheduling. New York: Wiley; 1974.Google Scholar

French, S. Sequencing and Scheduling: An Introduction to the Mathematics of the Job-Shop. Chichester, New York: E. Horwood; Wiley; 1982.Google Scholar

Baker, KR, Trietsch, D. Principles of Sequencing and Scheduling. Hoboken: Wiley; 2009.Google Scholar

Maravelias, CT. General Framework and Modeling Approach Classification for Chemical Production Scheduling. AlChE J. 2012;58(6):1812–1828.Google Scholar

Mendez, CA, Cerda, J, Grossmann, IE, Harjunkoski, I, Fahl, M. State-of-the-Art Review of Optimization Methods for Short-Term Scheduling of Batch Processes. Comput Chem Eng. 2006;30(6-7):913–946.Google Scholar

Harjunkoski, I, Maravelias, CT, Bongers, P, Castro, PM, Engell, S, Grossmann, IE, et al. Scope for Industrial Applications of Production Scheduling Models and Solution Methods. Comput Chem Eng. 2014;62(0):161–193.CrossRef Google Scholar

Stadtler, H. Supply Chain Management and Advanced Planning – Basics, Overview and Challenges. Eur J Oper Res. 2005;163(3):575–588.Google Scholar

Shapiro, JF. Modeling the Supply Chain. 2nd ed. Belmont: Thomson-Brooks/Cole; 2007.Google Scholar

Pochet, Y, Wolsey, LA. Production Planning by Mixed Integer Programming. New York; Berlin: Springer; 2006.Google Scholar

Kondili, E, Pantelides, CC, Sargent, RWH. A General Algorithm for Short-Term Scheduling of Batch-Operations. 1. Milp Formulation. Comput Chem Eng. 1993;17(2):211–227.Google Scholar

Shah, N, Pantelides, CC, Sargent, RWH. A General Algorithm for Short-Term Scheduling of Batch-Operations .2. Computational Issues. Comput Chem Eng. 1993;17(2):229–244.Google Scholar

Pantelides, CC, editor Unified Frameworks for Optimal Process Planning and Scheduling. 2nd Conference on Foundations of Computer Aided Process Operations; 1994; Snowmass: CACHE Publications.Google Scholar

Velez, S, Maravelias, CT. Advances in Mixed-Integer Programming Methods for Chemical Production Scheduling. Annu Rev Chem Biomol. 2014;5:97–121.Google Scholar

Haupt, R. A Survey of Priority Rule-Based Scheduling. Or Spektrum. 1989;11(1):3–16.Google Scholar

Carlier, J, Pinson, E. An Algorithm for Solving the Job-Shop Problem. Manage Sci. 1989;35(2):164–176.Google Scholar

Adams, J, Balas, E, Zawack, D. The Shifting Bottleneck Procedure for Job Shop Scheduling. Manage Sci. 1988;34(3):391–401.Google Scholar

Baptiste, P, Le Pape, C, Nuijten, W. Constraint-Based Scheduling: Applying Constraint Programming to Scheduling Problems. Boston: Kluwer Academic; 2001.Google Scholar

Van Hentenryck, P, Michel, L. Constraint-Based Local Search. Cambridge: MIT Press; 2005.Google Scholar

Hooker, J. Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction. New York: John Wiley & Sons; 2000.CrossRef Google Scholar

Panek, S, Engell, S, Subbiah, S, Stursberg, O. Scheduling of Multi-product Batch Plants Based upon Timed Automata Models. Comput Chem Eng. 2008;32(1-2):275–291.Google Scholar

Hooker, JN. Logic, Optimization, and Constraint Programming. INFORMS Journal on Computing. 2002;14(4):295–321.CrossRef Google Scholar

Nemhauser, GL, Wolsey, LA. Integer and Combinatorial Optimization. New York: Wiley; 1988.Google Scholar

Wolsey, LA. Integer Programming. New York: Wiley; 1998.Google Scholar

Book contents

1 - Introduction

Summary

Keywords

Access options

References

Save book to Kindle

Save book to Dropbox

Save book to Google Drive