A Review of Production Scheduling: Theory and Practice

1979 ◽  
Author(s):  
Stephen C. Graves
Keyword(s):  
Production Scheduling ◽  
Theory And Practice ◽  
Scheduling Theory

Intelligent Real-Time Control in Manufacturing and Supply Chain Processes

2014 ◽  
Vol 1039 ◽  
pp. 677-685
Author(s):  
Jan Ola Strandhagen ◽  
Emrah Arica ◽  
Heidi C. Dreyer
Keyword(s):  
Decision Support ◽  
Production Scheduling ◽  
Theory And Practice ◽  
Practical Case ◽  
Scheduling Theory ◽  
Real Time Control ◽  
Design And Implementation ◽  
Time Control ◽  
Control Under Uncertainty ◽  
And Control

Production scheduling and control under uncertainty is among the most persistent challenges in the field of operation management. Despite the significant amount of research in this domain, many studies still underline the gap between scheduling theory and practice. In this paper, we outline the important aspects to consider in the design and implementation of decision support systems for the scheduling task by reviewing the literature. From the identified guidelines, we examine a practical case and propose a decision support system for the production scheduling task in an actual manufacturing environment.

Designing a Practical Production Scheduling and Control System: A Case Study in a Norwegian Manufacturing Company

2014 ◽  
Vol 1039 ◽  
pp. 669-676
Author(s):  
Emrah Arica ◽  
Mads Baardsgaard ◽  
Jan Ola Strandhagen
Keyword(s):  
Decision Support ◽  
Production Scheduling ◽  
Theory And Practice ◽  
Practical Case ◽  
Scheduling Theory ◽  
Design And Implementation ◽  
System A ◽  
Control Under Uncertainty ◽  
And Control

Production scheduling and control under uncertainty is among the most persistent challenges in the field of operation management. Despite the significant amount of research in this domain, many studies still underline the gap between scheduling theory and practice. In this paper, we outline the important aspects to consider in the design and implementation of decision support systems for the scheduling task by reviewing the literature. From the identified guidelines, we examine a practical case and propose a decision support system for the production scheduling task in an actual manufacturing environment.

Production Scheduling Theory: Just Where Is It Applicable?

2000 ◽  
Vol 30 (6) ◽  
pp. 64-76 ◽  
Author(s):  
Victor Portougal ◽  
David J. Robb
Keyword(s):  
Production Scheduling ◽  
Scheduling Theory

Costs for Rescheduling Actions: A Critical Issue for Reducing the Gap between Scheduling Theory and Practice

2008 ◽  
Vol 47 (22) ◽  
pp. 8785-8795 ◽  
Author(s):  
Georgios M. Kopanos ◽  
Elisabet Capón-García ◽  
Antonio Espuña, ◽  
Luis Puigjaner
Keyword(s):  
Critical Issue ◽  
Theory And Practice ◽  
Scheduling Theory

Unifying the theory and practice of production scheduling

1999 ◽  
Vol 18 (4) ◽  
pp. 241-255 ◽  
Author(s):  
Kenneth N. McKay ◽  
Vincent C.S. Wiers
Keyword(s):  
Production Scheduling ◽  
Theory And Practice

Re-Entrant Production Scheduling Problem under Uncertainty Based on QPSO Algorithm

2011 ◽  
Vol 66-68 ◽  
pp. 1061-1066
Author(s):  
Feng Shan Pan ◽  
Chun Ming Ye ◽  
Ji Hua Zhou
Keyword(s):  
Production Scheduling ◽  
Product Life Cycle ◽  
Market Competition ◽  
Product Diversification ◽  
Theoretical Research ◽  
Scheduling Problem ◽  
Scheduling Theory ◽  
Scheduling Problems ◽  
The One ◽  
Construction Strategies

Production scheduling problem is the one of the most basic, important and difficult theoretical research in a manufacturing system. In the past decades of research, the classical scheduling theory has made signficant progress, but the actual scheduling problems are much more complicated than the classical theory. In order to study, the actual scheduling problems are often made much simpler. Therefore, it is difficult for the results of the classical scheduling theory to been put into practice. The considerable gap also exists between the classical scheduling theory and the actual scheduling problem. But with the increasingly fierce market competition, customers have become increasingly demanding product diversification, product life cycle is shorter and more sophisticated structure of the product makes the actual scheduling a large number of uncertainties, the traditional model has become difficult to obtain satisfactory results. This paper makes a analysis on the uncertainties of production scheduling,and tries to solve re-entrant production scheduling problem based on QPSO. It introduces the mathematical model and the solving process based on QPSO algorithm. Then it makes construction strategies to solve it. The paper simulates with Visual C. The results show that this algorithm is feasibility.

Sign in / Sign up

Export Citation Format

Share Document