| 1. |
- Dettmann, Tobias, 1987, et al.
(författare)
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Startup Methodology for Production Flow Simulation Projects Assessing Environmental Sustainability
- 2013
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Ingår i: Proceedings of the 2013 Winter Simulation Conference. - 9781479920761 ; , s. 1926-1937
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Konferensbidrag (refereegranskat)abstract
- Environmental impact assessments for companies and products are important to increase sales and reduceenvironmental impact. To support improvements and detailed analyses, researchers have extended the useof simulation of production flows to include sustainability performance indicators. The research casesperformed until recently lack standardized methodology and thus have comparability issues and an increasenumber of common faults. By using a common methodology and gathering best practice, futurecases can gain a lot. Especially noted by the authors is that the project startup phase is critical for success.This paper proposes a methodology to support the startup phases of simulation projects with sustainabilityaspects in production flows. The methodology is developed and applied in an automotive industry studypresented in this paper. Using a rigid project startup, such as the proposed methodology, reduces iterationsduring modeling and data collection and decreases time spent on modeling.
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| 2. |
- Andersson, Jon, 1985, et al.
(författare)
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Environmental Activity Based Cost using Discrete Event Simulation
- 2011
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Ingår i: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781457721083 ; , s. 891-902
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Konferensbidrag (refereegranskat)abstract
- Discrete event simulation (DES) provides engineers with a flexible modeling capability for extensive analysis of a production flow and its dynamic behavior. Activity based costing (ABC) modeling can pro-vide additional knowledge about the monetary costs related to the manufacturing processes in DES. In addition, ABC modeling has been proposed as a tool for environmental impact analysis. Thus, previous studies have separately brought ABC into DES and ABC into environmental impact analysis. Bringing all three areas together, an ABC environmental simulation could provide deeper understanding about envi-ronmental impacts in the manufacturing processes than a regular Life Cycle Assessment (LCA) analysis. This paper proposes to use ABC modeling in conjunction with DES to perform a more detailed economic and environmental impact cost analysis. It is emphasized that the time to perform both analysis in one simulation is shorter or equal to perform them separately. Moreover, the approach can resolve some LCA problems.
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| 3. |
- Andersson, Jon, 1985, et al.
(författare)
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Environmental Impact Assessment for Manufacturing: Data Requirements for a Simulation-Based Approach
- 2012
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Ingår i: Swedish Production Symposium. - 9789175197524 ; , s. 151-160
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Konferensbidrag (refereegranskat)abstract
- The environmental footprint of products is an increasingly important measure for companies working to improve their sustainability performance, and the same measure has also become popular for marketing purposes. As a result, the demand for environmental product declarations and, thus, life cycle assessment (LCA) projects grows. To reap the full benefit from LCA studies in production systems analysis, LCA has more frequently been complemented with simulation of production flows (i.e. discrete event simulation) during the latest decade. Several examples of the DES-LCA combination in recent literature report substantial potential and successful implementations. However, a common problem is to establish efficient and credible procedures for collecting, analyzing, and representing the extensive amounts of input data required. The aim of this paper is therefore to provide recommendations for the management of environmental data in sustainability simulations. A review of seven previous DES-LCA projects provides a list of common sustainability parameters and experiences on how they should be collected and represented in simulation models. An important result is that deterministic representations appear to be enough for data not directly linked to production time. This finding makes it possible to replace time-consuming data gathering with collection of secondary data from public databases.
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| 4. |
- Andersson, Jon, 1985, et al.
(författare)
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Evaluation of methods used for life-cycle assessments in Discrete Event Simulation
- 2012
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Ingår i: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781467347792
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Konferensbidrag (refereegranskat)abstract
- The incitements from society for life-cycle assessment (LCA) and credible ecolables are ever-increasingand often important for successful marketing of products. Robust assessment methods are important forcomparable, useful and trustworthy LCAs and ecolables. In order to improve the metrics of a product’secolable, is it important to fully understand its production system. Discrete Event Simulation (DES)models are able to provide more detailed information than traditional LCA approaches. Therefore,methods used to combining LCA in DES have been developed during the last decade. The combinedapproaches have matured and the experiences grown. This article compares six previous cases and aims tosummarize and discuss their experiences to aid future development. The results show where it isspecifically important to make good decisions throughout the modeling methodology, for example goaland scope definition, trustworthy input data for sensitive parts, and communicable impact categories.
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| 5. |
- Andersson, Jon, 1985, et al.
(författare)
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Framework for Ecolabeling using Discrete Event Simulation
- 2012
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Ingår i: Proceedings of the 2012 spring simulation multiconference.
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Konferensbidrag (refereegranskat)abstract
- Ecolabled products have shown a competitive advantage to other products. Regulatory changes and market pressure creates an increased need for environmental impact assessments. The dominating method for environmental impact assessments - life cycle assessment (LCA) lacks support to properly analyze the dynamic aspects of business operations and production processes. This Paper proposes to use discrete event simulation to support more extensive and detailed environmental assessments on selected parts of the production process, keeping simplicity for parts of less importance and interest.
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| 6. |
- Barletta, Ilaria Giovanna, 1988, et al.
(författare)
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Assessing a proposal for an energy-based overall equipment effectiveness indicator through discrete event simulation
- 2015
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Ingår i: Proceedings - Winter Simulation Conference. - 0891-7736. - 9781479974863 ; 2015-January, s. 1096-1107
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Konferensbidrag (refereegranskat)abstract
- New challenges demand that manufacturing companies adopt sustainable approaches and succeed in this adoption. Energy efficiency plays a key role in achieving sustainability goals, and performance indicators are necessary beyond measurement of data to evaluate energy efficiency. In this landscape, scalable and easy-to-understand metrics providing an energy competitiveness degree of manufacturing resources are currently missing. The study aims to test through simulation applicability and potential offered by a novel Energy Overall Equipment Effectiveness - Energy OEE - indicator for discrete manufacturing firms. A simulation of a discrete manufacturing CNC machine case is used to evaluate the applicability of using Energy OEE assessment for management decision support. As a result, this study paves the way to a better exploitation of data that energy monitoring and sensor technology aim to offer in the future.
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| 7. |
- Jain, Sanjay, et al.
(författare)
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A Hierarchical Approach for Evaluating Energy Trade-offs in Supply Chains
- 2013
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Ingår i: International Journal of Production Economics. - : Elsevier BV. - 0925-5273. ; 146:2, s. 411-422
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Tidskriftsartikel (refereegranskat)abstract
- Supply chain design and operational decisions may impact the energy needed to keep the products flowing through to the customers. It is a challenge to determine the energy consumption and even more challenging to understand the impact of design and operational decisions on the energy consumption along the supply chain. This paper presents a hierarchical simulation based approach for estimating the energy consumption to keep the products flowing through a supply chain. System dynamics simulation is used at a high abstraction level to understand the major factors that may affect the energy consumption. Discrete event simulation is then used to delve down in detail for evaluating the critical stages in the supply chain. A case study for a closed loop supply chain of forklift brakes is used as an example of application of the approach. (C) 2013 Elsevier B.V. All rights reserved.
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| 8. |
- Jain, Sanjay, et al.
(författare)
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Multi-Resolution Modeling for Supply Chain Sustainability Analysis
- 2013
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Ingår i: Proceedings of the 2013 Winter Simulation Conference. - 9781479920778 ; , s. 1996-2007
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Konferensbidrag (refereegranskat)abstract
- Consumers are increasingly becoming conscious of the need to reduce environmental impact. This hasmotivated the industry to make efforts to improve the sustainability of their products and supply chains.Such efforts require the ability to analyze the sustainability of supply chains and potential improvements.A systematic approach is needed to evaluate the alternatives that may range from those at the supplychain configuration level to those for improving equipment at a production facility. This paper presents amulti-resolution modeling approach that allows analyzing parts of the supply chain at appropriate level ofdetail. The capability allows studying the supply chain at high level initially and iteratively drilling downto detailed levels in the identified areas of opportunity and evaluating associated improvement alternatives.Multi-resolution modeling directly relates the impact of improvement in one part of the supplychain to overall supply chain performance thus reducing analyst effort and time.
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| 9. |
- Johansson, Björn, 1975, et al.
(författare)
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Evaluation and Calculation of Dynamics in Environmental Impact Assessment
- 2013
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Ingår i: IFIP Advances in Information and Communication Technology. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1868-4238 .- 1868-422X. - 9783642403514 ; 397:1, s. 135-141
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Konferensbidrag (refereegranskat)abstract
- In ten years customers will select products not only based on price and quality but also with strong regard to the product value environmental footprint, including for example the energy consumed. Customers expect transparency in the product realization process, where most products are labeled with their environmental footprint. Vigorous companies see this new product value as an opportunity to be more competitive. In order to effectively label the envi-ronmental impact of a product, it is pertinent for companies to request the envi-ronmental footprint of each component from their suppliers. Hence, companies along the product lifecycle require a tool, not only to facilitate the computing of the environmental footprint, but also help reduce/balance the environmental impact during the lifecycle of the product. This paper proposes to develop a procedure that companies will use to evaluate, improve and externally advertise their product’s environmental footprint to customers.
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| 10. |
- Johansson, Björn, 1975, et al.
(författare)
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Power Level Sampling of Metal Cutting Machines for Data Representation in Discrete Event Simulation
- 2015
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Ingår i: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 53:23, s. 7060-7070
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Tidskriftsartikel (refereegranskat)abstract
- An extension to the application area for discrete event simulation (DES) has been ongoing since the last decade and focused only on economic aspects to include ecologic sustainability. With this new focus, additional input parameters, such as electrical power consumption of machines, are needed. This paper aim at investigating how NC machine power consumption should be represented in simulation models of factories. The study includes data-sets from three different factories. One factory producing truck engine blocks, one producing brake disc parts for cars and one producing forklift components. The total number of data points analysed are more than 2,45,000, where of over 1,11,000 on busy state for 11 NC machines. The low variability between busy cycles indicates that statistical representations are not adding significant variability. Furthermore, results show that non-value-added activities cause a substantial amount of the total energy consumption, which can be reduced by optimising the production flow using dynamic simulations such as DES.
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