scholarly journals An Agent-Based Factory Simulation Tool to Assess Energy Consumption in Decentralized Manufacturing Systems: Agent Types and their Tasks

2017 ◽  
Vol 869 ◽  
pp. 174-179
Author(s):  
Rebecca Ilsen ◽  
Jan Christian Aurich
Keyword(s):  
Energy Consumption ◽  
Manufacturing Systems ◽  
Energy Costs ◽  
Simulation Tool ◽  
Energy Prices ◽  
Simulation Approach ◽  
Agent Based ◽  
Manufacturing Control ◽  
Related Information ◽  
Planning Processes

Rising energy costs and volatile energy prices are motivation to integrate energy consumption with planning processes in manufacturing. Since centralized approaches for Manufacturing Control (MC) tend to ignore local energy related information, it is necessary to examine the potential of decentralized MC approaches. For this purpose, a factory simulation tool has been implemented. This paper presents the underlying assumptions behind the simulation tool and how the MC algorithms it uses are implemented using an agent-based simulation approach.

Potentialanalyse einer energiepreis- orientierten Reihenfolgebildung*/Potential analysis of an energy price-oriented sequencing - Integration of volatile energy prices in the manufacturing control to reduce energy costs

2017 ◽  
Vol 107 (09) ◽  
pp. 617-624
Author(s):  
S. Willeke ◽  
M. Stonis ◽  
P. Prof. Nyhuis
Keyword(s):  
Electricity Price ◽  
Energy Price ◽  
Energy Costs ◽  
Energy Prices ◽  
Compliance Cost ◽  
Manufacturing Control ◽  
Potential Analysis ◽  
Sequencing Rule ◽  
Production Orders ◽  
Save Energy

Durch die Zunahme der Einspeisungen erneuerbarer Energien nimmt die Volatilität des Strompreises stetig zu. Unter Berücksichtigung dieses Sachverhaltes können produzierende Unternehmen durch die Anwendung einer energiepreisorientierten Reihenfolgeregel Energiekosten sparen. Da die Anwendung dieser Reihenfolgeregel nicht nur Auswirkungen auf die Energiekosten hat, wird in diesem Fachbeitrag eine Potentialanalyse vorgestellt, welche neben den Energiekosten zusätzlich die Termineinhaltungskosten von Fertigungsaufträgen berücksichtigt.   As a result of the increasing feed-in of renewable energies, the volatility of the electricity price rises. Considering this, manufacturers can save energy costs by applying an energy price-oriented sequencing rule. Since the application of this sequencing rule does not only have an impact on the energy costs, a potential analysis is presented in this article which, in addition to the energy costs, also considers the schedule compliance cost of production orders.

Energy Planning of Manufacturing Systems with Methods-Energy Measurement (MEM) and Multi-Domain Simulation Approach

2014 ◽  
Vol 655 ◽  
pp. 53-59
Author(s):  
Martin Bornschlegl ◽  
Paryanto ◽  
Michael Spahr ◽  
Sven Kreitlein ◽  
Markus Bregulla ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Simulation Model ◽  
Manufacturing Systems ◽  
Planning Process ◽  
Early Stage ◽  
Industrial Robots ◽  
Energy Planning ◽  
Energy Measurement ◽  
Energy Costs ◽  
Planning Stage

Energy costs play a decisive role in the operation costs of automotive production companies. Therefore, energy planning in an early conception and planning stage becomes an important topic. This is because the early conception and planning stage has the greatest potential to influence the energy consumption of manufacturing technologies since about 70-80 % of the energy costs are committed during this stage. However, lifetime cost and specifically energy consumption are currently not a determining factor at this stage. The reason is that the prediction of energy costs for complex manufacturing systems are challenging. Previous research approaches in the area of energy planning are limited to detailed planned production. A standardized approach to determine the energy consumption rates at an early stage does not exist. In this context, the EffiPLAS project has therefore proposed to solve this challenge. The aim of this project is to develop a Methods-Energy Measurement approach with elementary energy elements to support the planning process at an early stage, and to develop a modular simulation model for calculating the energy consumption of industrial robots, which complements the energy prediction. In this paper, the basic concept of elementary energy units and their value determination techniques is presented, and the simulation model is outlined. The developed approach will help to predict the prospective energy consumption of complex production equipment so that energy costs can be accounted for in an improved manner within a life-cycle costing comparative analyses.

scholarly journals Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices

2020 ◽  
Vol 90 (9) ◽  
pp. 1315-1343 ◽  
Author(s):  
Sven Schulz ◽  
Udo Buscher ◽  
Liji Shen
Keyword(s):  
Energy Consumption ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Energy Costs ◽  
Energy Prices ◽  
Shop Scheduling ◽  
Processing Times ◽  
Hybrid Flow Shop Scheduling ◽  
Time Requirements

Abstract Energy costs play an important role in industrial production and are closely related to environmental concerns. As sustainability aspects are coming into focus in recent years, energy-oriented objectives are increasingly being taken into account in scheduling. At the same time, requirements for punctual delivery become more and more important in times of just-in-time delivery and highly networked supply chains. In this paper, a hybrid flow shop scheduling problem with variable discrete production speed levels is considered with the aim of minimizing both energy costs and total tardiness. Although lower speeds can reduce energy consumption, they also increase processing times, which counteract the objective of punctual delivery. Two new model formulations additionally taking time-of-use energy prices into account are presented and compared. The influence of variable discrete production speed levels on energy costs, energy consumption and punctual delivery as well as the interdependencies between these objectives are analysed in a numerical case study.

An Automated Approach for Adaptive Control Systems

2012 ◽  
Vol 2 (3) ◽  
pp. 58-71
Author(s):  
Mohamed Khalgui ◽  
Olfa Mosbahi ◽  
Emanuele Carpanzano ◽  
Anna Valente
Keyword(s):  
Energy Consumption ◽  
Control Systems ◽  
Manufacturing Systems ◽  
Business Strategies ◽  
Production Lines ◽  
Agent Based ◽  
Intelligent Software ◽  
Adaptive Control Systems ◽  
Manufacturing Platform ◽  
Technical Solutions

The paper deals with adaptive manufacturing systems to be composed of various machines for optimal productions of jobs. The authors assume three types of constraints to be respected: (1) deals with the system’s performance which is related to productivity rates and should be kept acceptable as much as possible, (2) deals with the energy consumption which should be kept stable or minimal, and (3) deals with emissions of CO2 which should be kept minimal for future systems. They define a reconfiguration scenario as any operation allowing addition and/or removals of jobs and/or machines to/from production lines for safety when faults occur. To meet all fixed constraints, the authors propose an agent-based architecture where an intelligent software agent is defined to evaluate the whole system’s architecture after any reconfiguration scenario, and to define useful technical solutions when constraints are violated. It suggests run-time modifications of productivity rates and/or realization times of jobs and/or also removals of some jobs according to well-defined constraints. The users supervising the production lines can dynamically accept or reject these solutions according to production business strategies and also some other constraints. The authors apply the paper’s contribution to a formal drilling manufacturing platform, and to the footwear factory of ITIA-CNR.

The Nexus between Financial Development, Economic Growth and Energy Consumption in India: A VECM Technique

2020 ◽  
pp. 602-612
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Financial Development ◽  
Consumer Price Index ◽  
Development Economic ◽  
Energy Prices ◽  
Vector Error Correction ◽  
Percent Increase ◽  
Growth Energy ◽  
The Impact

The demand for energy consumption requires efficient financial development in terms of bank credit. Therefore, this study examines the nexus between Financial Development, Economic Growth, Energy Prices and Energy Consumption in India, utilizing Vector Error Correction Model (VECM) technique to determine the nature of short and long term relationships from 2010 to 2019. The estimation of results indicates that a one percent increase in bank credits to private sector results in 0.10 percent increase in energy consumption and 0.28 percent increase in energy consumption responses to 1 percent increase in economic growth. It is also observed that the impact of energy price proxied by consumer price index is statistically significant with a negative sign indicating the consistency with the theory.

scholarly journals Ant Colony Intelligence in Flexible Manufacturing Scheduling Using Contract-Net Model

2011 ◽  
Vol 2-3 ◽  
pp. 608-613
Author(s):  
Ying Zi Wei ◽  
Yi Jun Feng ◽  
Kan Feng Gu
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Ant Colony ◽  
Contract Net Protocol ◽  
Agent Based ◽  
Contract Net ◽  
Multi Agent ◽  
Bidding Mechanism ◽  
Alternative Processes ◽  
Alternative Machines

This paper builds an efficient agent-based flexible scheduling for real-world manufacturing systems. Considering the alternative processes and alternative machines, the allocation of manufacturing resources is achieved through negotiation among the job and machine agents in a multi-agent system (MAS). Ant Colony Intelligence (ACI) is proposed to be combined with Contract Net Protocol (CNP) so as to make agents adaptive to changing circumstances. ACI is integrated into both machine agents and job agents to solve the task allocation and sequencing problem. CNP is introduced to allow the agents to cooperate and coordinate their local schedules in order to find globally near-optimal robust schedules. The negotiation protocol is an interactive bidding mechanism based on the hybrid contract net protocol. The implementation of the issues using CNP model is discussed. Experimental results verify the effectiveness and efficiency of the proposed algorithm integrated with ant-inspired coordination.

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