A Review of Multi Agent based Production Scheduling in Manufacturing System

2020 ◽  
Vol 14 ◽  
Author(s):  
Om Ji Shukla ◽  
Gunjan Soni ◽  
Rajesh Kumar ◽  
Rashpal S. Ahluwalia
Keyword(s):  
Production Scheduling ◽  
Global Economy ◽  
Manufacturing Systems ◽  
Manufacturing Sector ◽  
Local Economy ◽  
Future Research ◽  
Scheduling Problems ◽  
Key Issues ◽  
Multi Agent ◽  
Traditional Approaches

Backgrounds: The manufacturing sector has seen dynamic changes during the last few years, namely the move from product-oriented local economy to customer-driven global economy. In this environment, manufacturing systems have been required to deliver highly flexible, demand-driven and customized products. Hence, multi agent system (MAS) technology can play an important role in making highly responsive production scheduling systems in order to meet dynamic and uncertain changes in demand. Methods: This paper offers a review of MAS for production scheduling problems in manufacturing systems. The objective of the paper is twofold. First, it describes traditional and MAS based approaches for different production scheduling problems and presents advantages of MAS over traditional approaches. Second, it aims to review different MAS platforms and evaluate some key issues involved in MAS based production scheduling. Results: A variety of different MAS applications in production scheduling is reviewed in four categories of key issues: agent encapsulation, agent organization, agent coordination & negotiation and agent learning. Conclusion: Finally, this review presents a conceptual framework to implement MAS in production scheduling and also highlights the future research opportunities as well as challenges.

scholarly journals A review of energy-efficient scheduling in intelligent production systems

2019 ◽  
Vol 6 (2) ◽  
pp. 237-249 ◽  
Author(s):  
Kaizhou Gao ◽  
Yun Huang ◽  
Ali Sadollah ◽  
Ling Wang
Keyword(s):  
Energy Efficiency ◽  
Production Scheduling ◽  
Energy Cost ◽  
Energy Efficient ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Future Research ◽  
Scheduling Problems ◽  
Improve Energy Efficiency ◽  
Energy Efficient Scheduling

Abstract Recently, many manufacturing enterprises pay closer attention to energy efficiency due to increasing energy cost and environmental awareness. Energy-efficient scheduling of production systems is an effective way to improve energy efficiency and to reduce energy cost. During the past 10 years, a large amount of literature has been published about energy-efficient scheduling, in which more than 50% employed swarm intelligence and evolutionary algorithms to solve the complex scheduling problems. This paper aims to provide a comprehensive literature review of production scheduling for intelligent manufacturing systems with the energy-related constraints and objectives. The main goals are to summarize, analyze, discuss, and synthesize the existing achievements, current research status, and ongoing studies, and to give useful insight into future research, especially intelligent strategies for solving the energy-efficient scheduling problems. The scope of this review is focused on the journal publications of the Web of Science database. The energy efficiency-related publications are classified and analyzed according to five criteria. Then, the research trends of energy efficiency are discussed. Finally, some directions are pointed out for future studies.

scholarly journals Scheduling and Rescheduling Operations Using Decision Support Systems: Insights From Emotional Influences on Decision-Making

2021 ◽  
Vol 2 ◽  
Author(s):  
Mélody Mailliez ◽  
Olga Battaïa ◽  
Raphaëlle N. Roy
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Mental State ◽  
Production Scheduling ◽  
Manufacturing Systems ◽  
Support Systems ◽  
Mental States ◽  
Future Research ◽  
Modern Manufacturing

For many years, manufacturers have focused on improving their productivity. Production scheduling operations are critical for this objective. However, in modern manufacturing systems, the original schedule must be regularly updated as it takes places in a dynamic and uncertain environment. The modern manufacturing environment is therefore very stressful for the managers in charge of the production process because they have to cope with many disruptions and uncertainties. To help them in their decision-making process, several decision support systems (DSSs) have been developed. A recent and enormous challenge is the implementation of DSSs to efficiently manage the aforementioned issues. Nowadays, these DSSs are assumed to reduce the users' stress and workload because they automatically (re)schedule the production by applying algorithms. However, to the best of our knowledge, the reciprocal influence of users' mental state (i.e., cognitive and affective states) and the use of these DSSs have received limited attention in the literature. Particularly, the influence of users' unrelated emotions has received even less attention. However, these influences are of particular interest because they can account for explaining the efficiency of DSSs, especially in modulating DSS feedback processing. As a result, we assumed that investigating the reciprocal influences of DSSs and users' mental states could provide useful avenues of investigation. The intention of this article is then to provide recommendations for future research on scheduling and rescheduling operations by suggesting the investigation of users' mental state and encouraging to conduct such research within the neuroergonomic approach.

scholarly journals An Analysis of Research Trends in the Sustainability of Production Palnning

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 483
Author(s):  
Mohamed Saeed khaled ◽  
Ibrahim Abdelfadeel Shaban ◽  
Ahmed Karam ◽  
Mohamed Hussain ◽  
Ismail Zahran ◽  
...  
Keyword(s):  
Production Planning ◽  
Production Scheduling ◽  
Production Systems ◽  
Lot Sizing ◽  
Raw Materials ◽  
Social Indicators ◽  
Sustainable Production ◽  
Future Research ◽  
Scheduling Problems ◽  
Planning Problems

Sustainability has become of great interest in many fields, especially in production systems due to the continual increase in the scarcity of raw materials and environmental awareness. Recent literature has given significant attention to considering the three sustainability pillars (i.e., environmental, economic, and social sustainability) in solving production planning problems. Therefore, the present study conducts a review of the literature on sustainable production planning to analyze the relationships among different production planning problems (e.g., scheduling, lot sizing, aggregate planning, etc.) and the three sustainability pillars. In addition, we analyze the identified studies based on the indicators that define each pillar. The results show that the literature most frequently addresses production scheduling problems while it lacks studies on aggregate production planning problems that consider the sustainability pillars. In addition, there is a growing trend towards obtaining integrated solutions of different planning problems, e.g., combining production planning problems with maintenance planning or energy planning. Additionally, around 45% of the identified studies considered the integration of the economic and the environmental pillars in different production planning problems. In addition, energy consumption and greenhouse gas emissions are the most frequent sustainability indicators considered in the literature, while less attention has been given to social indicators. Another issue is the low number of studies that have considered all three sustainability pillars simultaneously. The finidings highlight the need for more future research towards holistic sustainable production planning approaches.

scholarly journals Graph-Based Modeling in Shop Scheduling Problems: Review and Extensions

2021 ◽  
Vol 11 (11) ◽  
pp. 4741
Author(s):  
Jacqueline Otala ◽  
Alden Minard ◽  
Golshan Madraki ◽  
Seyedamirabbas Mousavian
Keyword(s):  
Manufacturing Systems ◽  
Job Shop ◽  
Technological Development ◽  
Directed Graphs ◽  
Survey Study ◽  
Future Research ◽  
Scheduling Problems ◽  
Research Directions ◽  
Shop Scheduling ◽  
Future Research Directions

Graphs are powerful tools to model manufacturing systems and scheduling problems. The complexity of these systems and their scheduling problems has been substantially increased by the ongoing technological development. Thus, it is essential to generate sustainable graph-based modeling approaches to deal with these excessive complexities. Graphs employ nodes and edges to represent the relationships between jobs, machines, operations, etc. Despite the significant volume of publications applying graphs to shop scheduling problems, the literature lacks a comprehensive survey study. We proposed the first comprehensive review paper which (1) systematically studies the overview and the perspective of this field, (2) highlights the gaps and potential hotspots of the literature, and (3) suggests future research directions towards sustainable graphs modeling the new intelligent/complex systems. We carefully examined 143 peer-reviewed journal papers published from 2015 to 2020. About 70% of our dataset were published in top-ranked journals which confirms the validity of our data and can imply the importance of this field. After discussing our generic data collection methodology, we proposed categorizations over the properties of the scheduling problems and their solutions. Then, we discussed our novel categorization over the variety of graphs modeling scheduling problems. Finally, as the most important contribution, we generated a creative graph-based model from scratch to represent the gaps and hotspots of the literature accompanied with statistical analysis on our dataset. Our analysis showed a significant attention towards job shop systems (56%) and Un/Directed Graphs (52%) where edges can be either directed, or undirected, or both, Whereas 14% of our dataset applied only Undirected Graphs and 11% targeted hybrid systems, e.g., mixed shop, flexible, and cellular manufacturing systems, which shows potential future research directions.

scholarly journals Simulation of Pedestrians and Motorised Traffic

2016 ◽  
pp. 1646-1662
Author(s):  
Eleonora Papadimitriou ◽  
J.M. Auberlet ◽  
George Yannis ◽  
S. Lassarre
Keyword(s):  
Urban Areas ◽  
Probabilistic Models ◽  
Simulation Models ◽  
Future Research ◽  
Valuable Insight ◽  
Macroscopic Models ◽  
Agent Simulation ◽  
Key Issues ◽  
Multi Agent ◽  
Pedestrian Simulation

The objective of this paper is the analysis of the state of the art in pedestrian simulation models and the identification of key issues for further research, with particular focus on the modelling of pedestrians and motorised traffic. A review and a comparative assessment of pedestrian simulation models are carried out, including macroscopic models, earlier meso- and miscosimulation models (mostly in Cellular Automata) and more recent Multi-Agent simulation models. The reviewed models cover a broad range of research topics: pedestrian flow and level of service, crowd dynamics and evacuations, route choice etc. However, pedestrian movement in urban areas and the interactions between pedestrians and vehicles have received notably less attention. A number of challenges to be addressed in future research are outlined: first, the need to and account for the hierarchical behavioural model of road users (strategic / tactical / operational behaviour); second, the need for appropriate description and parameterization of vehicle and pedestrian networks and their crossing points; third, the need to exploit in the simulation models the results of statistical and probabilistic models, which offer valuable insight in the determinants of pedestrian behaviour. In each case, recent studies towards addressing these challenges are outlined.

Real-Time Scheduling Procedures Based on Autonomous Distributed Manufacturing System (ADiMS) Concept

2014 ◽  
Vol 660 ◽  
pp. 1010-1014
Author(s):  
Yuwana M. Yatna ◽  
Sri Raharno ◽  
Rifki Ruriardi
Keyword(s):  
Real Time ◽  
Production Scheduling ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Scheduling Problems ◽  
Production Schedule ◽  
Distributed Manufacturing ◽  
Real Time Scheduling ◽  
Time Scheduling

This paper deals with the implementation of Autonomous Distributed Manufacturing System (ADiMS) concept in real-time scheduling in order to solve scheduling problems. Basically production scheduling is an important thing and has significant role in manufacturing system. Generally unpredictable conditions such as machine breakdown, absenteeism, or material shortages, in manufacturing system are a problem. These conditions will make the production schedule could not be implemented as planned. However, these conditions are difficult to be avoided and almost always occur in manufacturing systems. A real-time scheduling based on ADiMS concept that provide flexibility, adaptability, and capable could be use to face this problem. In this paper, the problem is limited to real-time scheduling procedures. The result of the case study is every process has been scheduled real-time manually in certain order by the real-time scheduling procedures based on ADiMS. This is showed that ADiMS concept could be implemented in a real-time scheduling and provides flexibility, adaptability, and capable to solve the scheduling problems.

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