Conventional Production Scheduling and Control

1995 ◽  
pp. 13-36
Author(s):  
Hans-Peter Wiendahl
Keyword(s):  
Production Scheduling ◽  
Conventional Production ◽  
And Control

scholarly journals Energy Demand Response of Process Systems through Production Scheduling and Control

2015 ◽  
Vol 48 (8) ◽  
pp. 385-390 ◽  
Author(s):  
Chudong Tong ◽  
Nael H. El-Farra ◽  
Ahmet Palazoglu
Keyword(s):  
Demand Response ◽  
Production Scheduling ◽  
Energy Demand ◽  
Process Systems ◽  
And Control

scholarly journals Realtime production scheduling and control systems in smart industry

Impact ◽  
2020 ◽  
Vol 2020 (8) ◽  
pp. 60-61
Author(s):  
Wei Weng
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Production Scheduling ◽  
Production Control ◽  
Optimal Solution ◽  
Scheduling Problem ◽  
Optimal Solutions ◽  
Scheduling Problems ◽  
Smart Industry ◽  
And Control

For a production system, 'scheduling' aims to find out which machine/worker processes which job at what time to produce the best result for user-set objectives, such as minimising the total cost. Finding the optimal solution to a large scheduling problem, however, is extremely time consuming due to the high complexity. To reduce this time to one instance, Dr Wei Weng, from the Institute of Liberal Arts and Science, Kanazawa University in Japan, is leading research projects on developing online scheduling and control systems that provide near-optimal solutions in real time, even for large production systems. In her system, a large scheduling problem will be solved as distributed small problems and information of jobs and machines is collected online to provide results instantly. This will bring two big changes: 1. Large scheduling problems, for which it tends to take days to reach the optimal solution, will be solved instantly by reaching near-optimal solutions; 2. Rescheduling, which is still difficult to be made in real time by optimization algorithms, will be completed instantly in case some urgent jobs arrive or some scheduled jobs need to be changed or cancelled during production. The projects have great potential in raising efficiency of scheduling and production control in future smart industry and enabling achieving lower costs, higher productivity and better customer service.

Shipyard Production Standards

1988 ◽  
Vol 4 (01) ◽  
pp. 65-69
Author(s):  
Robert J. Graves ◽  
Leon F. McGinnis ◽  
Rodney A. Robinson
Keyword(s):  
Production Planning ◽  
Production Scheduling ◽  
Labor Standards ◽  
Production Planning And Control ◽  
Standard Data ◽  
Incentive Program ◽  
Planning And Control ◽  
And Control ◽  
Method Analysis ◽  
Work Method

Almost every shipyard is involved with labor standards, either as part of an incentive program or for work method analysis. Far less common is the application of standard data as an integral part of production planning and control. This paper addresses the higher-level standards application, and focuses on standards for production scheduling. The presentation is based on the authors' involvement in a number of projects in several shipyards.

A heuristic for adaptive production scheduling and control in flow shop production

2011 ◽  
Vol 49 (11) ◽  
pp. 3151-3170 ◽  
Author(s):  
Wei Li ◽  
Xinggang Luo ◽  
Deyi Xue ◽  
Yiliu Tu
Keyword(s):  
Production Scheduling ◽  
Flow Shop ◽  
And Control

An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production

2011 ◽  
Vol 38 (1) ◽  
pp. 267-276 ◽  
Author(s):  
Wei Li ◽  
Barrie R. Nault ◽  
Deyi Xue ◽  
Yiliu Tu
Keyword(s):  
Production Scheduling ◽  
And Control

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.

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