Manufacturing System Planning and Scheduling

2009 ◽  
pp. 19-33 ◽  
Author(s):  
Galina Merkuryeva ◽  
Nigel Shires
Keyword(s):  
Manufacturing System ◽  
System Planning ◽  
Planning And Scheduling

Models for Solving Integrated Planning and Scheduling Problem: Computational Comparison

2018 ◽  
Vol 34 ◽  
pp. 161-170 ◽  
Author(s):  
Zineb Ibn Majdoub Hassani ◽  
Abdellah El Barkany ◽  
Abdelouahhab Jabri ◽  
Ikram El Abbassi
Keyword(s):  
Production Planning ◽  
Production System ◽  
Production Plan ◽  
Scheduling Problem ◽  
Integrated Planning ◽  
System Planning ◽  
Planning And Scheduling ◽  
Computational Comparison

This article concerns the integration of planning and scheduling production system. Planning and scheduling are usually treated separately because of their complexity. Scheduling largely depends on the production quantities computed at the production planning level. However, ignoring scheduling constraints in the tactical level leads to inconsistent decisions. So, it is important to integrate planning and scheduling to efficiently manage operations and to determine a realistic production plan for a given sequence of jobs on each machine. In this paper, we present some approaches proposed to solve the problem and we realize a comparison between the two most interesting ones, using the standard solver CPLEX.

scholarly journals Optimal Operation and Scheduling of Parallel Machines in Jobshop Environments

2018 ◽  
Vol 10 (2) ◽  
pp. 33-43
Author(s):  
Maurizio Faccio ◽  
Mojtaba Nedaei
Keyword(s):  
Manufacturing System ◽  
Buffer Capacity ◽  
Parallel Machines ◽  
Job Shop ◽  
Efficient Solutions ◽  
Optimal Operation ◽  
Optimization Approach ◽  
Planning And Scheduling ◽  
Analysis Process ◽  
Planning Strategies

Abstract Scheduling of machines together with the optimization of the energy consumption (EC) play a crucial role in every manufacturing system. The current paper aims to present a multi-objective optimization approach for planning and scheduling of a manufacturing system in a job-shop environment. First, an inclusive review and comparison of the latest advancements in this field was performed. Then, a manufacturing system in a job-shop environment, which consists of six designed machines with zero buffer capacity, and 53 jobs, was simulated. Four heuristics for the purpose of sequencing are adopted during the analysis process. A comparison of the optimum results suggested the most efficient values for the EC, make-span, and tardiness. The EC variations and processing time of the machines were studied under sequencing rules to let the designers exploring more efficient solutions, and planning strategies towards enhancing the performance and reliability of studied machines. Next step of this study was to estimate the optimum completion time of each process in the considered manufacturing system and with consideration of the proposed scheduling methods.

A simulation-based multi-objective optimisation approach in flexible manufacturing system planning

2018 ◽  
Vol 29 (4) ◽  
pp. 494
Author(s):  
Arash Apornak ◽  
Sadigh Raissi ◽  
Mehrdad Javadi ◽  
Neda Ahmadizadeh Tourzani ◽  
Ahmad Kazem
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
System Planning ◽  
Multi Objective ◽  
Simulation Based

Mathematical Programming Models for Flexible Manufacturing System Planning and Scheduling Problem

2014 ◽  
Vol 548-549 ◽  
pp. 1483-1487
Author(s):  
Shahla Paslar ◽  
M.K.A. Ariffin ◽  
Mehran Tamjidy ◽  
Sai Hong Tang
Keyword(s):  
Mathematical Programming ◽  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Classification Scheme ◽  
Future Trend ◽  
Programming Models ◽  
Scheduling Problem ◽  
Planning And Scheduling ◽  
Mathematical Programming Models ◽  
Solution Methodology

This paper provides a review of the literature regarding the application of mathematical programming models for FMS planning and scheduling problem. The aim of this study is to analyze the present and future trend in this filed and to propose a classification scheme based on the following criteria:FMS type, decision level, planning and scheduling problem, FMS characteristics, mathematical modeling, constraint, objective, solution methodology, novelty, and application. This study provides readers with a great understanding of the complication of the planning and scheduling problem and the application of developed methods to model and solve them.

An agent-based architecture for production scheduling in dynamic job-shop manufacturing system

2018 ◽  
Vol 66 (6) ◽  
pp. 492-502 ◽  
Author(s):  
Om Ji Shukla ◽  
Gunjan Soni ◽  
Rajesh Kumar ◽  
Sujil A
Keyword(s):  
Production Planning ◽  
Production Scheduling ◽  
Manufacturing System ◽  
Job Shop ◽  
Shop Floor ◽  
Efficient Production ◽  
Planning And Scheduling ◽  
Agent Based ◽  
Production Planning And Scheduling ◽  
Key Issues

Abstract In a highly competitive environment, effective production is one of the key issues which can be addressed by efficient production planning and scheduling in the manufacturing system. This paper develops an agent-based architecture which enables integration of production planning and scheduling. In addition, this architecture will facilitate real time production scheduling as well as provide a multi-agent system (MAS) platform on which multiple agents will interact to each other. A case study of job-shop manufacturing system (JMS) has been considered in this paper for implementing the concept of MAS. The modeling of JMS has been created in SimEvents which integrates an agent-based architecture developed by Stateflow to transform into dynamic JMS. Finally, the agent-based architecture is evaluated using utilization of each machine in the shop floor with respect to time.

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