Advances in Sustainable Energy Efficient Manufacturing Systém

Mičieta, Branislav; Markovič, Jaromír; Biňasová, Vladimíra

doi:10.17973/mmsj.2016_06_201615

Cited by 7 publications

(6 citation statements)

References 13 publications

(8 reference statements)

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“…The energy efficiency research of supply chain solutions and logistic systems covers a wide range of production and service processes as follows: city logistics [40][41][42], competing supply chains [43], container shipping [9,44], conveyor systems [45,46], intralogistics [47][48][49][50][51][52], last mile logistics [53], logistic centres [54], manufacturing plants [55], port logistics [35,36,56], regional distribution [57], reverse logistics [21], synchromodal supply chain [19], urban mobility [41], vaccine supply chain [58], and vehicle fleet management [59]. Figure 5 gives an overview of popular approaches used in design of supply chains and logistic systems focusing on energy efficiency, including models, research fields, and case studies and scenarios [60].…”

Section: Content Analysismentioning

confidence: 99%

Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

Bányai

2018

Energies

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Energy efficiency and environmental issues have been largely neglected in logistics. In a traditional supply chain, the objective of improving energy efficiency is targeted at the level of single parts of the value making chain. Industry 4.0 technologies make it possible to build hyperconnected logistic solutions, where the objective of decreasing energy consumption and economic footprint is targeted at the global level. The problems of energy efficiency are especially relevant in first mile and last mile delivery logistics, where deliveries are composed of individual orders and each order must be picked up and delivered at different locations. Within the frame of this paper, the author describes a real-time scheduling optimization model focusing on energy efficiency of the operation. After a systematic literature review, this paper introduces a mathematical model of last mile delivery problems including scheduling and assignment problems. The objective of the model is to determine the optimal assignment and scheduling for each order so as to minimize energy consumption, which allows to improve energy efficiency. Next, a black hole optimization-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase energy efficiency in last mile logistics.

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Section: Content Analysismentioning

confidence: 99%

Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

Bányai

2018

Energies

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“…The number of clones at a physical node is determined by the number of PsRC that are present in the feasibility information. An ant-template passes tickets to ant-clones based on the cost ratio: t1 = nt + ri (2) where ti is the number of tickets for an ant I, nt is the total number of tickets, and ri is the cost ratio for ant I, in which: The key values in the feasibility BST are represented by the names of the CAs, which own the FI. The values of the BST consist of the FI, and they may contain up to four "pairs of road signs and costs" (PsRC).…”

Section: Exploration D-masmentioning

confidence: 99%

“…Today's production enterprises have to face a constantly changing market and fluctuating demand for customizable, high quality, and affordable products, in order to sustain their competitive advantage. The aforementioned factors are transformed into requirements imposed on the new-generation manufacturing systems [1,2]. Such manufacturing systems should be able to cope with the dynamics of the entire system, with respect to its internal and external stimuli, uncertainties, and unexpected changes.…”

Section: Introductionmentioning

confidence: 99%

A Route Planner Using a Delegate Multi-Agent System for a Modular Manufacturing Line: Proof of Concept

et al. 2019

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Featured Application: Reconfigurable logistic system for new generation of Factory of the Future manufacturing systems and modular systems.Abstract: Route planning in a multi-agent system (MAS) is still a complex task, especially if there is need for a continuous, decentralized planner of the routes for physical agents in a dynamic environment. It is a planner of this kind that is required in the application the article considers: the transportation of parts at a modular manufacturing line. Such a planner has to meet several difficult requirements, regarding the physical, time-constrained dynamic environment, live-locks and deadlocks, delayed agents, and last needs to minimize the travel time and the total distance traveled. The article proposes an approach using a delegate multi-agent system (D-MAS) in order to meet these requirements. The approach was verified using virtual reality so as to provide a better understanding of the planner's issues. Several coordination rules were proposed and implemented. As a further verification, the proof-of-concept solution was compared to a non-reservation planner. It was shown, that as the number of agents increases, the approach, including the reservations, outperformed its competitor. Various recommendations for the implementation of the planner were formulated. It was concluded that the performance of the planner is sufficient for its future use. The main objective of article was proof-of-concept and determining the functionality of a prototype based on MAS that was in compliance with a modular manufacturing line developed by us. Appl. Sci. 2019, 9, 4515 2 of 20 these requirements and they offer additional features. These include autonomy, decentralization, scalability, and flexibility [4]. Inclusion of these features can be found in [3,5]. Yet, MASs have not been widely adopted in the industrial domain. Several reasons for this were identified by Karnouskos and Leitao [6], particularly, the demand of the industry for mature technologies, initial investments, missing compliance with existing standards, the lack of development methodologies, insufficient interoperability, and integration with physical systems. There are also several areas in MASs-such as continuous, decentralized route planning for physical agents in a dynamic environment-that can still be challenging [7]. Several works were done in this field [8,9]. This article uses delegates in the context of D-MASs (delegate multi-agent systems). Delegate or delegate agents are simple, reactive agents that are created, sent out, and collected by task and resource agents. Next, the features of delegate agents are that agents are virtual entities, not directly connected with anything physical, and that they communicate with other agents through the environment [8]. Primary agents or delegates use behavioral modules called D-MASs that reduce the agents' internal structural complexities; a definition can be found in [9].The idea of our project was to create an intra-logistic system that can transport parts (i.e., manufa...

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“…The product assortment is rapidly changing, the time for innovation is reduced, the demands on the reliability of the production system are increased. Therefore, it is necessary to take an innovative approach to design production and assembly systems working on the basis of high flexibility and elasticity [24,25].…”

Section: Literature Surveymentioning

confidence: 99%

Product Segmentation and Sustainability in Customized Assembly with Respect to the Basic Elements of Industry 4.0

et al. 2019

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Sustainable manufacturing is not just about manufacturing, but also products and services. In the area of custom production processes, there may also be circumstances of organizational management where compliance with labor productivity and the due-date principle is problematic. Similar products with different operating times cause the throughput of assembly lines to slow down, increase number of works in progress (WIP), and increase productivity waste. It is possible to reduce this impact through various productivity-enhancing methods and innovations. This paper presents an innovative approach to product segmentation in the assembly phase of custom manufacturing, and a proposal for a new segmentation procedure that will allow significantly better integration of products into existing assembly processes without negatively impacting the company’s production indicators. The scientific problem was defined on the basis that extending existing segmentation by the third dimension of operating times allows products in MTO (made to order) environments to be divided into families with approximately equal operating times. This will increase assembly efficiency in existing medium to large companies without large investments in the development and adaptation of assembly process products. The contributions of this work relate mainly to simple adaptations to existing processes in medium-sized businesses. The proposed solution respects the basic elements of Industry 4.0.

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Advances in Sustainable Energy Efficient Manufacturing Systém

Cited by 7 publications

References 13 publications

Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

A Route Planner Using a Delegate Multi-Agent System for a Modular Manufacturing Line: Proof of Concept

Product Segmentation and Sustainability in Customized Assembly with Respect to the Basic Elements of Industry 4.0

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