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The purpose of this paper is to uncover how environmental and social sustainability practices are diffused across the supply chain tiers through supplier development initiatives. In particular, the work seeks to uncover the initiatives developed directly or indirectly by manufacturing firms and the factors that enhance them. A systematic literature review is used to examine the breadth of the sustainable supply chain literature. The papers obtained are screened and analysed using established procedures to produce bibliometric and thematic analyses. The findings show the evolution of this young field around key research groups with few papers looking beyond focal firms to immediate suppliers and even fewer examining multiple tiers. Whilst numerous organisational factors are identified, few works consider most of them together and none capture their interrelationships at such breadth. Within this field lacking in theory, the originality of the work is the assembly of environmental and social practices into an integrated framework for their diffusion across supply chain tiers in the design and implementation of supplier development initiatives. There is recognition of where in the supply chain these practices are applied. The implications of this research are a framework around which supply chain diffusion theory can be tested and subsequent potential for its deployment in business to guide sustainable practice adoption.
Handson Claudio Dias Pimenta; Peter Ball; Konstantinos Salonitis. Supply chain environmental and social sustainability practice diffusion: Bibliometrics, content analysis and conceptual framework. Corporate Social Responsibility and Environmental Management 2021, 1 .
AMA StyleHandson Claudio Dias Pimenta, Peter Ball, Konstantinos Salonitis. Supply chain environmental and social sustainability practice diffusion: Bibliometrics, content analysis and conceptual framework. Corporate Social Responsibility and Environmental Management. 2021; ():1.
Chicago/Turabian StyleHandson Claudio Dias Pimenta; Peter Ball; Konstantinos Salonitis. 2021. "Supply chain environmental and social sustainability practice diffusion: Bibliometrics, content analysis and conceptual framework." Corporate Social Responsibility and Environmental Management , no. : 1.
This study investigated the impact of the laser speed and power, and the position and orientation of the samples, on the average surface roughness (Ra) and dimensional accuracy (DA) during CO2 laser cutting of polymethyl methacrylate (PMMA) thin sheets. A mixed five-parameter fractional factorial design was applied, and thirty-six measurements for the Ra and DA were obtained. The experimental results were analysed using ANOM diagrams, ANOVA analysis and interaction plots of all parameters. It was concluded that the laser speed is the critical parameter for both surface roughness and dimensional accuracy, resulting in strong interactions with laser power and positioning parameters. It was also shown that Ra values are affected by the orientation of the specimen and can be minimized when the samples are aligned in the laser travel direction. Finally, it was proved that lower laser speed improves the average roughness but reduces the dimensional accuracy.
Konstantinos Ninikas; John Kechagias; Konstantinos Salonitis. The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets. Journal of Manufacturing and Materials Processing 2021, 5, 74 .
AMA StyleKonstantinos Ninikas, John Kechagias, Konstantinos Salonitis. The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets. Journal of Manufacturing and Materials Processing. 2021; 5 (3):74.
Chicago/Turabian StyleKonstantinos Ninikas; John Kechagias; Konstantinos Salonitis. 2021. "The Impact of Process Parameters on Surface Roughness and Dimensional Accuracy during CO2 Laser Cutting of PMMA Thin Sheets." Journal of Manufacturing and Materials Processing 5, no. 3: 74.
Higher educational institutes (HEIs) are managing their resources by using learning management systems (LMS) which facilitate the learning processes. This paper aims to develop the relationships among success factors typically found in the technology, as well as the human and organisational aspects using an interpretive structural modelling (ISM) approach for LMS diffusion in HEIs in the Kingdom of Saudi Arabia (KSA). The success factors possessing a higher driving power in the ISM approach need to be prioritised as many other dependent variables are affected by them. Success factors emerging with high dependence contribute to facilitating the implementation of LMS. A key finding of the modelling is that clearly defined information technology (IT) policies along with appropriate technology infrastructure are significant factors for facilitating the technology aspect of LMS implementation. Additionally, the strengthening and standardisation of IT education resources, level of computer skills, proper training programmes for staff to deliver knowledge to users as well as a high level of human competencies are significant factors for facilitating the human aspect of LMS implementation. Moreover, the support of top management is a very significant factor for improving the organisational aspect of LMS. To ensure successful LMS implementation, KSA HEIs should focus on effective learning environments, facilitate education activities, top management involvement and increased interaction between pedagogy and technology. Understanding user characteristics and online needs is essential to ensure that barriers are overcome, ensuring successful and continued LMS implementation. Further, in this research, the relationship models among the identified success factors in terms of technology, human and organisational have not been statistically validated. However, it has been suggested that future research may be targeted to develop the initial model through ISM for success factors for improving LMS implementation and then testing it using Structural equation modeling (SEM).
Yousef Alduraywish; John Patsavellas; Konstantinos Salonitis. Critical success factors for improving learning management systems diffusion in KSA HEIs: An ISM approach. Education and Information Technologies 2021, 1 -27.
AMA StyleYousef Alduraywish, John Patsavellas, Konstantinos Salonitis. Critical success factors for improving learning management systems diffusion in KSA HEIs: An ISM approach. Education and Information Technologies. 2021; ():1-27.
Chicago/Turabian StyleYousef Alduraywish; John Patsavellas; Konstantinos Salonitis. 2021. "Critical success factors for improving learning management systems diffusion in KSA HEIs: An ISM approach." Education and Information Technologies , no. : 1-27.
Additive Manufacturing has significantly developed over the years and is widely used in most industrial applications. Rapid Tooling refers to manufacturing the tools (moulds and dies) using Additive Manufacturing techniques. An essential application of Rapid Tooling is the 3D printing of sand moulds for castings. Metal casting is an energy-intensive process; and a lot of research has gone into the sustainability assessment of traditional sand castings. In this work, a robust decision-making approach is developed and implemented for sand mould manufacturing. Sustainability metrics for the mould production are formulated, and the conventional sand moulds are compared against the 3D printed sand moulds. A Multi-Criteria decision-making algorithm is implemented, and the effect of the batch size in the mould manufacturing is also studied. The discussed approach can help decision-makers choose the best mould manufacturing technique for the intended number of moulds to be manufactured.
Prateek Saxena; Emanuele Pagone; Konstantinos Salonitis; Mark R. Jolly. Sustainability metrics for rapid manufacturing of the sand casting moulds: A multi-criteria decision-making algorithm-based approach. Journal of Cleaner Production 2021, 311, 127506 .
AMA StylePrateek Saxena, Emanuele Pagone, Konstantinos Salonitis, Mark R. Jolly. Sustainability metrics for rapid manufacturing of the sand casting moulds: A multi-criteria decision-making algorithm-based approach. Journal of Cleaner Production. 2021; 311 ():127506.
Chicago/Turabian StylePrateek Saxena; Emanuele Pagone; Konstantinos Salonitis; Mark R. Jolly. 2021. "Sustainability metrics for rapid manufacturing of the sand casting moulds: A multi-criteria decision-making algorithm-based approach." Journal of Cleaner Production 311, no. : 127506.
The main purpose of this paper is to propose solutions for overcoming the obstacles that healthcare organizations might face when implementing lean. An in-depth review of existing barriers for lean implementation in healthcare supply chain is presented and validated by experts. Although there is a widespread use of lean concepts in developed countries, little attention has been paid to implementing a lean approach by healthcare providers in developing countries. The present study’s key novelty and contribution is related to this research gap. The study is thus focused in proposing solutions for healthcare organisations in developing countries, especially in Saudi Arabia. The efficacy of these solutions is assessed through experts’ opinion. The paper enhances the body of knowledge for the successful implementation of lean in a hospital setting.
Abdulaziz Almutairi; Mohammed Almanei; Ahmed Al-Ashaab; Konstantinos Salonitis. Prioritized Solutions for Overcoming Barriers When Implementing Lean in the Healthcare Supply Chain: A Saudi Perspective. Logistics 2021, 5, 9 .
AMA StyleAbdulaziz Almutairi, Mohammed Almanei, Ahmed Al-Ashaab, Konstantinos Salonitis. Prioritized Solutions for Overcoming Barriers When Implementing Lean in the Healthcare Supply Chain: A Saudi Perspective. Logistics. 2021; 5 (1):9.
Chicago/Turabian StyleAbdulaziz Almutairi; Mohammed Almanei; Ahmed Al-Ashaab; Konstantinos Salonitis. 2021. "Prioritized Solutions for Overcoming Barriers When Implementing Lean in the Healthcare Supply Chain: A Saudi Perspective." Logistics 5, no. 1: 9.
José Luna-Andrade Junior; Konstantinos Salonitis; Alexandra Brintrup. Key Enablers for the Evolution of Aerospace Ecosystems. Journal of Aerospace Technology and Management 2021, 13, 1 .
AMA StyleJosé Luna-Andrade Junior, Konstantinos Salonitis, Alexandra Brintrup. Key Enablers for the Evolution of Aerospace Ecosystems. Journal of Aerospace Technology and Management. 2021; 13 ():1.
Chicago/Turabian StyleJosé Luna-Andrade Junior; Konstantinos Salonitis; Alexandra Brintrup. 2021. "Key Enablers for the Evolution of Aerospace Ecosystems." Journal of Aerospace Technology and Management 13, no. : 1.
Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift delivery of food at reduced cost, flexibility, and capability to deliver the right quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4.0 and the opportunities and challenges in this regard. It focuses primarily on food logistics, including resource planning, warehouse management, transportation management, predictive maintenance, and data security. Internet of Things, Blockchain, Robotics and Automation and artificial intelligence are some of the technologies discussed.
Sandeep Jagtap; Farah Bader; Guillermo Garcia-Garcia; Hana Trollman; Tobi Fadiji; Konstantinos Salonitis. Food Logistics 4.0: Opportunities and Challenges. Logistics 2020, 5, 2 .
AMA StyleSandeep Jagtap, Farah Bader, Guillermo Garcia-Garcia, Hana Trollman, Tobi Fadiji, Konstantinos Salonitis. Food Logistics 4.0: Opportunities and Challenges. Logistics. 2020; 5 (1):2.
Chicago/Turabian StyleSandeep Jagtap; Farah Bader; Guillermo Garcia-Garcia; Hana Trollman; Tobi Fadiji; Konstantinos Salonitis. 2020. "Food Logistics 4.0: Opportunities and Challenges." Logistics 5, no. 1: 2.
Grain size is one of the most critical factors affecting the mechanical and thermal properties of metallic materials. In this study the effect of the grain size of a workpiece made of pure Aluminium on the nanocutting process has been investigated via means of Molecular Dynamics simulations. The polycrystalline workpiece has been generated starting from a Face-Centred Cubic block of Aluminium atoms which was melted and subsequently quenched under various cooling rates in order to control the average grain size. The case of a monocrystalline workpiece has been considered as well. The generated workpieces were ground by a diamond abrasive. Simulations have been repeated in order to eliminate any statistical errors. The obtained results suggest that the average grain size of the workpiece significantly influences almost every aspect related to the nanocutting process. More specifically, it has been found that the cutting forces increase and the friction coefficient decreases with the grain size. Very small grain sizes lead to lower thermal conductivity and consequently high temperature at the cutting region. Finally, it has been shown that the high residual stresses at the grain boundaries can be relieved as the tool passes on top of the workpiece; this phenomenon resembles heat treatment. In summary, the nanocutting behaviour of polycrystalline materials depends on the average grain size and significantly differs from the case of monocrystalline materials. This should be taken into account in future numerical models of nanocutting processes.
Michail Papanikolaou; Konstantinos Salonitis. Grain size effects on nanocutting behaviour modelling based on molecular dynamics simulations. Applied Surface Science 2020, 540, 148291 .
AMA StyleMichail Papanikolaou, Konstantinos Salonitis. Grain size effects on nanocutting behaviour modelling based on molecular dynamics simulations. Applied Surface Science. 2020; 540 ():148291.
Chicago/Turabian StyleMichail Papanikolaou; Konstantinos Salonitis. 2020. "Grain size effects on nanocutting behaviour modelling based on molecular dynamics simulations." Applied Surface Science 540, no. : 148291.
Laser drilling is a well-established manufacturing process utilised to produce holes in various aeroengine components. This research presents an experimental investigation on the effects of laser drilling process parameters on productivity (material removal rate), hole quality (hole taper) and drilling cost. Single-pulse drilling was employed to drill a thin-walled Inconel 718 superalloy plate of 1 mm thickness using pulsed Nd:YAG laser. The experiments were designed using Box-Behnken statistical approach to investigate the impacts of pulse energy, pulse duration, gas pressure and gas flow rate on the selected responses. Multi-objective optimisation was performed using response surface methodology (RSM) based grey rational analysis (GRA) to identify optimal drilling conditions aiming to maximise the MRR and minimise hole taper and drilling cost. The optimal combination of drilling parameters was found as pulse energy of 20 J, pulse duration of 6 ms, gas pressure of 100 psi and gas flow rate of 40 mm3/s. A detailed cost analysis identified labour cost, gas consumption and machine costs as the major cost elements of the laser drilling process.
Shoaib Sarfraz; Essam Shehab; Konstantinos Salonitis; Wojciech Suder; Misbah Niamat; Muhammad Jamil. An integrated analysis of productivity, hole quality and cost estimation of single-pulse laser drilling process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2020, 1 .
AMA StyleShoaib Sarfraz, Essam Shehab, Konstantinos Salonitis, Wojciech Suder, Misbah Niamat, Muhammad Jamil. An integrated analysis of productivity, hole quality and cost estimation of single-pulse laser drilling process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2020; ():1.
Chicago/Turabian StyleShoaib Sarfraz; Essam Shehab; Konstantinos Salonitis; Wojciech Suder; Misbah Niamat; Muhammad Jamil. 2020. "An integrated analysis of productivity, hole quality and cost estimation of single-pulse laser drilling process." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture , no. : 1.
Electric Vehicles (EVs) with rechargeable Lithium-Ion batteries (Li-ion) are at the forefront of the global trend for lower-emission transportation and decarbonisation. Capable suppliers of Li-Ion battery assembly systems are essential for enabling automotive OEMs to scale up their Li-ion EV production to expected volumes. This paper details a feasibility study for Li-Ion battery assembly, developed for a traditional automotive supplier of niche production systems in order to enable them to enter the emerging lower carbon OEM supply chains. Through simulation modelling, the essential components of a reconfigurable and scalable EV Li-ion batteries assembly system with provision for disassembly are explored and a generic framework is proposed.
Ryan D’Souza; John Patsavellas; Konstantinos Salonitis. Automated assembly of Li-ion vehicle batteries: A feasibility study. Procedia CIRP 2020, 93, 131 -136.
AMA StyleRyan D’Souza, John Patsavellas, Konstantinos Salonitis. Automated assembly of Li-ion vehicle batteries: A feasibility study. Procedia CIRP. 2020; 93 ():131-136.
Chicago/Turabian StyleRyan D’Souza; John Patsavellas; Konstantinos Salonitis. 2020. "Automated assembly of Li-ion vehicle batteries: A feasibility study." Procedia CIRP 93, no. : 131-136.
This paper presents a new approach to the Value Stream Mapping (VSM), a proven tool of Lean Manufacturing (LM) in a Make-To-Order (MTO) manufacturing environment. The use of VSM in mass production has proven to be successful due to the predictable volume and repetitive product type. Within a MTO environment the product is tailored to specific requirements and varying volumes make it hard to balance production causing lean waste. The approach combines the classic VSM technique with commonality analysis to get a better understanding of the processes. Author illustrates this approach using a case study. Using VSM for MTO requires some changes to capture the attributes of product families required at different frequencies and volumes successfully.
Devanshu Mudgal; Emanuele Pagone; Konstantinos Salonitis. Approach to Value Stream Mapping for Make-To-Order Manufacturing. Procedia CIRP 2020, 93, 826 -831.
AMA StyleDevanshu Mudgal, Emanuele Pagone, Konstantinos Salonitis. Approach to Value Stream Mapping for Make-To-Order Manufacturing. Procedia CIRP. 2020; 93 ():826-831.
Chicago/Turabian StyleDevanshu Mudgal; Emanuele Pagone; Konstantinos Salonitis. 2020. "Approach to Value Stream Mapping for Make-To-Order Manufacturing." Procedia CIRP 93, no. : 826-831.
Data pipelines describe the path through which big data is transmitted, stored, processed and analyzed. Designing an appropriate data pipeline for a specific data driven manufacturing project can be challenging, whereas there is a paucity of frameworks to guide one in the design. In this research we develop a framework for designing data pipelines for manufacturing systems. The framework consists of a template for selecting key layers and components that make up big data pipelines in manufacturing systems. A use case is presented to provide an illustrative guideline for its application. Benefits of the framework and future directions are discussed.
Omogbai Oleghe; Konstantinos Salonitis. A framework for designing data pipelines for manufacturing systems. Procedia CIRP 2020, 93, 724 -729.
AMA StyleOmogbai Oleghe, Konstantinos Salonitis. A framework for designing data pipelines for manufacturing systems. Procedia CIRP. 2020; 93 ():724-729.
Chicago/Turabian StyleOmogbai Oleghe; Konstantinos Salonitis. 2020. "A framework for designing data pipelines for manufacturing systems." Procedia CIRP 93, no. : 724-729.
Capabilities of additive manufacturing (AM) for rapid tooling are well known in recent times. Rapid sand moulds are advantageous over traditional sand moulds in terms of cost, manufacturing time, flexibility, etc. This paper identifies metrics related to mould manufacturing and categorises them into four categories (cost, time, quality and environmental sustainability). A methodology based on the deterministic Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision-making algorithm is used to map at high resolution the influence of such categories on to the decision-making space when comparing AM with conventional sand mould making. Results show that AM is almost always clearly advantageous overall (excluding some very limited corner cases) for the examined case.
Emanuele Pagone; Prateek Saxena; Michail Papanikolaou; Konstantinos Salonitis; Mark Jolly. Sustainability Assessment of Rapid Sand Mould Making Using Multi-criteria Decision-Making Mapping. Blockchain Technology and Innovations in Business Processes 2020, 345 -355.
AMA StyleEmanuele Pagone, Prateek Saxena, Michail Papanikolaou, Konstantinos Salonitis, Mark Jolly. Sustainability Assessment of Rapid Sand Mould Making Using Multi-criteria Decision-Making Mapping. Blockchain Technology and Innovations in Business Processes. 2020; ():345-355.
Chicago/Turabian StyleEmanuele Pagone; Prateek Saxena; Michail Papanikolaou; Konstantinos Salonitis; Mark Jolly. 2020. "Sustainability Assessment of Rapid Sand Mould Making Using Multi-criteria Decision-Making Mapping." Blockchain Technology and Innovations in Business Processes , no. : 345-355.
In this investigation, three-dimensional molecular dynamics simulations have been performed in order to investigate the effects of the workpiece subsurface temperature on various nanocutting process parameters including cutting forces, friction coefficient, as well as the distribution of temperature and equivalent Von Mises stress at the subsurface. The simulation domain consists of a tool with a negative rake angle made of diamond and a workpiece made of copper. The grinding speed was considered equal to 100 m/s, while the depth of cut was set to 2 nm. The obtained results suggest that the subsurface temperature significantly affects all of the aforementioned nanocutting process parameters. More specifically, it has been numerically validated that, for high subsurface temperature values, thermal softening becomes dominant and this results in the reduction of the cutting forces. Finally, the dependency of local properties of the workpiece material, such as thermal conductivity and residual stresses on the subsurface temperature has been captured using numerical simulations for the first time to the authors’ best knowledge.
Michail Papanikolaou; Francisco Rodriguez Hernandez; Konstantinos Salonitis. Investigation of the Subsurface Temperature Effects on Nanocutting Processes via Molecular Dynamics Simulations. Metals 2020, 10, 1220 .
AMA StyleMichail Papanikolaou, Francisco Rodriguez Hernandez, Konstantinos Salonitis. Investigation of the Subsurface Temperature Effects on Nanocutting Processes via Molecular Dynamics Simulations. Metals. 2020; 10 (9):1220.
Chicago/Turabian StyleMichail Papanikolaou; Francisco Rodriguez Hernandez; Konstantinos Salonitis. 2020. "Investigation of the Subsurface Temperature Effects on Nanocutting Processes via Molecular Dynamics Simulations." Metals 10, no. 9: 1220.
Employee performance is dynamic and can have great impact on the overall performance of any company and its sustainability. A number of factors that can be controlled by the company can affect the employees’ performance. The present paper starts with a thorough literature review for identifying these key driving in order to develop a system dynamics models that will be able to assess different improvement scenarios and initiatives. Based on causal loop diagrams, stock and flow diagrams are developed and solved using system dynamics theory. The model developed can be used for organizations to assess the impact of different improvement initiatives.
Mudhafar Alefari; Mohammed Almanei; Konstantinos Salonitis. A System Dynamics Model of Employees’ Performance. Sustainability 2020, 12, 6511 .
AMA StyleMudhafar Alefari, Mohammed Almanei, Konstantinos Salonitis. A System Dynamics Model of Employees’ Performance. Sustainability. 2020; 12 (16):6511.
Chicago/Turabian StyleMudhafar Alefari; Mohammed Almanei; Konstantinos Salonitis. 2020. "A System Dynamics Model of Employees’ Performance." Sustainability 12, no. 16: 6511.
Pandemics and other forms of epidemic outbreaks are a unique case of manufacturing risk typified by high uncertainty, increasing propagation and long-term disruption to manufacturers, supply chain actors as well as the end-users and consumers. For manufacturing the COVID-19 disruption scope has been largely two-fold; an endogenous disruption of manufacturing processes and systems as well as extreme shifts in demand and supply caused by exogenous supply chain disruption. Existing literature on disruptions in manufacturing suggests that pandemics are qualitatively different from typical disruptions. There is no literature available to manufacturing practitioners that identify the barriers and enablers of manufacturing resilience, especially with regards to pivoting of the manufacturing sector in response to a pandemic. This study draws on an extensive survey collected during the COVID-19 pandemic. The respondents were employees of manufacturing firms in all regions of the world who had engaged in manufacturing during the pandemic or had opted out from manufacturing due to various identified reasons. By collating their responses, we offer to practitioners and policymakers an analysis for identifying a best-practice framework for pivoting successfully as a response to major manufacturing disruptions.
Okechukwu S. Okorie; Ramesh Subramoniam; Fiona Charnley; John Patsavellas; David Widdifield; Konstantinos Salonitis. Manufacturing in the Time of COVID-19: An Assessment of Barriers and Enablers. IEEE Engineering Management Review 2020, 48, 167 -175.
AMA StyleOkechukwu S. Okorie, Ramesh Subramoniam, Fiona Charnley, John Patsavellas, David Widdifield, Konstantinos Salonitis. Manufacturing in the Time of COVID-19: An Assessment of Barriers and Enablers. IEEE Engineering Management Review. 2020; 48 (3):167-175.
Chicago/Turabian StyleOkechukwu S. Okorie; Ramesh Subramoniam; Fiona Charnley; John Patsavellas; David Widdifield; Konstantinos Salonitis. 2020. "Manufacturing in the Time of COVID-19: An Assessment of Barriers and Enablers." IEEE Engineering Management Review 48, no. 3: 167-175.
While the majority of literature on remanufacturing operations examines an end-of-life (EOL) strategy which is both manual and mechanised, authors generally agree that digitalisation of remanufacturing is expected to increase in the next decade. Subsequently, a new research area described as digitally-enabled remanufacturing, remanufacturing 4.0 or smart remanufacturing is emerging. This is an automated, data-driven system of remanufacturing by means of Industry 4.0 (I4.0) paradigms. Insights into smart remanufacturing can be provided through simulation modelling of the remanufacturing process. While the use of simulation modelling in order to predict responses and behaviour is prevalent in remanufacturing, the use of these tools in smart remanufacturing is still limited in literature. The goal of this research is to present, as a first of its kind, a comparative understanding of simulation modelling in remanufacturing in order to suggest the ideal modelling tool for smart remanufacturing. The proposed comparison includes system dynamics, discrete event simulation and agent based modelling techniques. We apply these modelling techniques on a smart remanufacturing space of a sensor-enabled product and use assumptions derived from industry experts. We then proceed to model the remanufacturing operation from sorting and inspection of cores to final inspection of the remanufactured product. Through our analysis of the assumptions utilised and simulation modelling results we conclude that, while individual modelling techniques present important strategic and operational insights, their individual use may not be sufficient to offer comprehensive knowledge to remanufacturers due to the challenge of data complexity that smart remanufacturing offers.
Okechukwu Okorie; Fiona Charnley; Augustine Ehiagwina; Divya Tiwari; Konstantinos Salonitis. Towards a simulation-based understanding of smart remanufacturing operations: a comparative analysis. Journal of Remanufacturing 2020, 1 -24.
AMA StyleOkechukwu Okorie, Fiona Charnley, Augustine Ehiagwina, Divya Tiwari, Konstantinos Salonitis. Towards a simulation-based understanding of smart remanufacturing operations: a comparative analysis. Journal of Remanufacturing. 2020; ():1-24.
Chicago/Turabian StyleOkechukwu Okorie; Fiona Charnley; Augustine Ehiagwina; Divya Tiwari; Konstantinos Salonitis. 2020. "Towards a simulation-based understanding of smart remanufacturing operations: a comparative analysis." Journal of Remanufacturing , no. : 1-24.
This Special Issue of Energies was devoted to the topic of “Energy Efficiency of Manufacturing Processes and Systems”. It attracted significant attention of scholars, practitioners, and policy-makers from all over the world. Eighteen papers on this topic were submitted between 2018 and 2020, and a total of 10 papers were published. Main topics included the energy efficiency improvement in both the manufacturing process and system levels. Furthermore, new methodologies and analysis approaches in developing energy efficiency were presented.
Konstantinos Salonitis. Energy Efficiency of Manufacturing Processes and Systems—An Introduction. Energies 2020, 13, 2885 .
AMA StyleKonstantinos Salonitis. Energy Efficiency of Manufacturing Processes and Systems—An Introduction. Energies. 2020; 13 (11):2885.
Chicago/Turabian StyleKonstantinos Salonitis. 2020. "Energy Efficiency of Manufacturing Processes and Systems—An Introduction." Energies 13, no. 11: 2885.
Sustainability is becoming more and more important as a decision attribute in the manufacturing environment. However, quantitative metrics for all the aspects of the triple bottom line are difficult to assess. Within the present paper, the sustainability metrics are considered in tandem with other traditional manufacturing metrics such as time, flexibility, and quality and a novel framework is presented that integrates information and requirements from Computer-Aided Technologies (CAx) systems. A novel tool is outlined for considering a number of key performance indicators related to the triple bottom line when deciding the most appropriate process route. The implemented system allows the assessment of alternative process plans considering the market demands and available resources.
Prateek Saxena; Panagiotis Stavropoulos; John Kechagias; Konstantinos Salonitis. Sustainability Assessment for Manufacturing Operations. Energies 2020, 13, 2730 .
AMA StylePrateek Saxena, Panagiotis Stavropoulos, John Kechagias, Konstantinos Salonitis. Sustainability Assessment for Manufacturing Operations. Energies. 2020; 13 (11):2730.
Chicago/Turabian StylePrateek Saxena; Panagiotis Stavropoulos; John Kechagias; Konstantinos Salonitis. 2020. "Sustainability Assessment for Manufacturing Operations." Energies 13, no. 11: 2730.
This paper investigates the quality performance of FDM 3D printed models with thin walls. The design of experiments method (DOE) was used and nine models of the same size were fabricated in a low-cost 3D printer using polylactic acid (PLA) material. Two limited studied parameters were considered (extraction temperature and wall thickness), each one having three levels. External X and Y dimensions were measured using a micrometer, as well as four surface roughness parameters (Ra, Rz, Rt, Rsm) with a surface tester. Two optimization techniques (the Taguchi approach and Grey relational analysis) were utilized along with statistical analysis to examine how the temperature and wall thickness affect the dimensional accuracy and the surface quality of the parts. The results showed that high extraction temperature and median wall thickness values optimize both dimensional accuracy and surface roughness, while temperature is the most important factor.
Kyriaki-Evangelia Aslani; Dimitrios Chaidas; John Kechagias; Panagiotis Kyratsis; Konstantinos Salonitis. Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis. Journal of Manufacturing and Materials Processing 2020, 4, 47 .
AMA StyleKyriaki-Evangelia Aslani, Dimitrios Chaidas, John Kechagias, Panagiotis Kyratsis, Konstantinos Salonitis. Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis. Journal of Manufacturing and Materials Processing. 2020; 4 (2):47.
Chicago/Turabian StyleKyriaki-Evangelia Aslani; Dimitrios Chaidas; John Kechagias; Panagiotis Kyratsis; Konstantinos Salonitis. 2020. "Quality Performance Evaluation of Thin Walled PLA 3D Printed Parts Using the Taguchi Method and Grey Relational Analysis." Journal of Manufacturing and Materials Processing 4, no. 2: 47.