Introduction: the tv series production system in Uk

IKON ◽  
2014 ◽  
pp. 41-43
Author(s):  
Erica Negri
Keyword(s):  
Production System ◽  
Series Production

Introduction: the tv series production system in Germany

IKON ◽  
2014 ◽  
pp. 27-28
Author(s):  
Paolo Braga ◽  
Erica Negri ◽  
Michele Zatta
Keyword(s):  
Production System ◽  
Series Production

scholarly journals Analysis of Energy Efficient Scheduling of the Manufacturing Line with Finite Buffer Capacity and Machine Setup and Shutdown Times

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7446
Author(s):  
Adrian Kampa ◽  
Iwona Paprocka
Keyword(s):  
Energy Consumption ◽  
Production System ◽  
Energy Efficient ◽  
Parallel Flow ◽  
Finite Buffer ◽  
Series Production ◽  
Delivery Cost ◽  
Multi Objective ◽  
Parallel Flows ◽  
Energy Efficient Scheduling

The aim of this paper is to present a model of energy efficient scheduling for series production systems during operation, including setup and shutdown activities. The flow shop system together with setup, shutdown times and energy consumption are considered. Production tasks enter the system with exponentially distributed interarrival times and are carried out according to the times assumed as predefined. Tasks arriving from one waiting queue are handled in the order set by the Multi Objective Immune Algorithm. Tasks are stored in a finite-capacity buffer if machines are busy, or setup activities are being performed. Whenever a production system is idle, machines are stopped according to shutdown times in order to save energy. A machine requires setup time before executing the first batch of jobs after the idle time. Scientists agree that turning off an idle machine is a common measure that is appropriate for all types of workshops, but usually requires more steps, such as setup and shutdown. Literature analysis shows that there is a research gap regarding multi-objective algorithms, as minimizing energy consumption is not the only factor affecting the total manufacturing cost—there are other factors, such as late delivery cost or early delivery cost with additional storage cost, which make the optimization of the total cost of the production process more complicated. Another goal is to develop previous scheduling algorithms and research framework for energy efficient scheduling. The impact of the input data on the production system performance and energy consumption for series production is investigated in serial, parallel or serial–parallel flows. Parallel flow of upcoming tasks achieves minimum values of makespan criterion. Serial and serial–parallel flows of arriving tasks ensure minimum cost of energy consumption. Parallel flow of arriving tasks ensures minimum values of the costs of tardiness or premature execution. Parallel flow or serial–parallel flow of incoming tasks allows one to implement schedules with tasks that are not delayed.

scholarly journals Maintenance optimisation of a series production system with intermediate buffers using a multi-agent FMDP

2018 ◽  
Vol 180 ◽  
pp. 39-48 ◽  
Author(s):  
Yifan Zhou ◽  
Yiming Guo ◽  
Tian Ran Lin ◽  
Lin Ma
Keyword(s):  
Production System ◽  
Series Production ◽  
Multi Agent

Availability Characteristics of an Unbalanced Buffered Series Production System With Repair Priority

1981 ◽  
Vol 13 (3) ◽  
pp. 249-257 ◽  
Author(s):  
John L. Bryant ◽  
Richard A. Murphy
Keyword(s):  
Production System ◽  
Series Production

An Optimization Opportunistic Maintenance Policy of Multi-Unit Series Production System

2011 ◽  
Vol 421 ◽  
pp. 617-624 ◽  
Author(s):  
Wen Rui Hou ◽  
Zu Hua Jiang
Keyword(s):  
Economic Evaluation ◽  
Production System ◽  
Preventive Maintenance ◽  
Time Horizon ◽  
Series Production ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Rate Analysis ◽  
Finite Time Horizon ◽  
Alternative Decision

This paper proposes an opportunistic maintenance policy for the multi-unit series production system, which is on the basis of the failure rate analysis. When system halts for performing preventive maintenance or opportunistic maintenance, the alternative decision of replacement and repair is made by economic evaluation of two types of maintenance actions. The optimal preventive maintenance plans in a finite time horizon can be obtained by adjusting the preventive and opportunistic maintenance threshold. A numerical example is given for illustrating the applications of the policy.

Estimating the output of a series production system

1978 ◽  
Vol 10 (2) ◽  
pp. 139-148 ◽  
Author(s):  
Richard A. Murphy
Keyword(s):  
Production System ◽  
Series Production
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