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IEEE International Conference on Service operations and Logistics, and Informatics, SOLI

作者： Ngo Anh Phuong Thomas Guidat Global Production Engineering and Management Faculty of Engineering Vietnamese German University Binh Duong Vietnam Global Production Engineering Program Institute of Machine Tools and Factory Operation Technical University of Berlin Berlin Germany

To optimize resource use in production, Lean manufacturing is the most widely implemented method in the world. One of the most useful tools in Lean production is Value Stream Mapping (VSM). With focus on visualizing key data of a production process in a single picture, VSM attempts to reveal bottleneck steps in a process. As a consequence, industrial engineers can determine which stages of the process should be put emphasis on improving. However, VSM sole consideration is economics and other aspects of sustainability such as societal and environmental are neglected. With Sustainable Value Stream Mapping (SVSM), all necessary illustrations for a sustainable manufacturing process can be visualized, which leads to higher chances to identify potential problems in the efficiency of production processes beyond the ones identified using lean manufacturing. This research provides a case study where SVSM is applied in an apparel company in order to identify potential issues in the sustainability of their production process. Furthermore, this paper highlights several potential solutions such as Radio-frequency identification (RFID), big data and ergonomics improvement by discussing the impact of their implementation on the process sustainability. Finally, the conclusion section discusses limits in the solutions implementation and suggest future research.

关键词： Logistics Informatics production engineering Erbium Machine tools production facilities Industries

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Elaboration and analysis of key figure-based approaches for the efficiency assessment of traditional and bio-inspired factory layouts

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Procedia CIRP 2018年 72卷 732-738页

作者： Mandy Hermann Herwig Winkler Daniel Tinello BTU Cottbus-Senftenberg Chair of Production and Operations Management Siemens-Halske-Ring 6 03046 Cottbus Germany Graz University of Technology Institute of Logistics Engineering Inffeldgasse 25/e 8010 Graz Austria

Most factory layouts based on stable markets. Companies usually do not consider further development or growth processes, which leads to inefficiencies. Literature reviews have shown, that living systems have the ability to efficiently and flexibly cope with short- and long-term changes. Consequently, this paper shows firstly, as an overview of own studies, new efficient approaches as examples for factory and material flow planning, using biomimetics. Secondly and as the focus of the paper, approaches for the efficiency measurement and assessment are analyzed and examined for their suitability to the context of different factory layouts and their material flows. Based on these results, traditional and bio-inspired factory layouts should be comparable in terms of their efficiency figures.

关键词： Logistics Factory Analysis Efficiency Assessment

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Impact of Scheduling Policies on the Performance of an Additive Manufacturing production System

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Procedia Manufacturing 2019年 39卷 447-456页

作者： Maaz Saleem Kapadia Binil Starly Alec Thomas Reha Uzsoy Donald Warsing Graduate Program in Operations Research North Carolina State University 2500 Stinson Dr Raleigh NC 27607 USA Edward P.Fitts Department of Industrial and Systems Engineering North Carolina State University 111 Lampe Dr Raleigh NC 27607 USA Poole College of Management North Carolina State University 2801 Founders Dr Raleigh NC 27695 USA

We study the impact of scheduling policies on the cycle time and throughput of an Additive Manufacturing (AM) facility. Orders for irregularly shaped parts with specified due dates and surface quality requirements arrive randomly at the facility. The parts are fabricated in one of several AM build chambers, followed by post-processing operations based on surface finishing requirements. We combine a part placement heuristic with different scheduling policies (FIFO, Earliest Due Date) to allocate parts to AM build chambers and lay out the parts within the chambers to approximately optimize delivery performance. Simulation experiments using an Iterative Optimization-based Simulation (IOS) model integrating a simulation engine (implemented in SIMIO) with a computational engine (implemented in MATLAB) show that the scheduling policies have a significant impact on cycle time and order lateness. Selection and peer review under the responsibility of ICPR25 International Scientific & Advisory and Organizing Committee members.

关键词： Iterative Optimization-based Simulation Additive Manufacturing Genetic Algorithm

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Global priority areas for ecosystem restoration (vol 586, pg 724, 2022)

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NATURE 2022年第7926期609卷 E7-E7页

作者： Strassburg, Bernardo B. N. Iribarrem, Alvaro Beyer, Hawthorne L. Cordeiro, Carlos Leandro Crouzeilles, Renato Jakovac, Catarina C. Braga Junqueira, Andre Lacerda, Eduardo Latawiec, Agnieszka E. Balmford, Andrew Brooks, Thomas M. Butchart, Stuart H. M. Chazdon, Robin L. Erb, Karl-Heinz Brancalion, Pedro Buchanan, Graeme Cooper, David Diaz, Sandra Donald, Paul F. Kapos, Valerie Leclere, David Miles, Lera Obersteiner, Michael Plutzar, Christoph de M. Scaramuzza, Carlos Alberto Scarano, Fabio R. Visconti, Piero Rio Conservation and Sustainability Science Centre Department of Geography and the Environment Pontifical Catholic University Rio de Janeiro Brazil International Institute for Sustainability Rio de Janeiro Brazil Programa de Pós Graduacão em Ecologia Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Botanical Garden Research Institute of Rio de Janeiro Rio de Janeiro Brazil Forest Ecology and Management Group Wageningen University Wageningen The Netherlands Institut de Ciència i Tecnologia Ambientals Universitat Autònoma de Barcelona Barcelona Spain Department of Geography Fluminense Federal University Niterói Brazil Department of Production Engineering Logistics and Applied Computer Science Faculty of Production and Power Engineering University of Agriculture in Kraków Kraków Poland School of Environmental Sciences University of East Anglia Norwich UK Department of Ecology and Evolutionary Biology University of Connecticut Storrs CT USA World Resources Institute Global Restoration Initiative Washington DC USA Tropical Forests and People Research Centre University of the Sunshine Coast Sunshine Coast Queensland Australia School of Biological Sciences University of Queensland St Lucia Queensland Australia Department of Zoology University of Cambridge Cambridge UK BirdLife International Cambridge UK RSPB Centre for Conservation Science Royal Society for the Protection of Birds Edinburgh UK International Union for Conservation of Nature (IUCN) Gland Switzerland World Agroforestry Center (ICRAF) University of the Philippines Los Baños The Philippines Institute for Marine and Antarctic Studies University of Tasmania Hobart Tasmania Australia Institute of Social Ecology University of Natural Resources and Life Sciences Vienna Vienna Austria Division of Conservation Biology Vegetation Ecology and Landscape Ecology University of Vienna Vienna Austria Department of Forest Sciences ‘Luiz de Queiroz’ College of Agriculture University of São Pau

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A HYBRID APPROACH FOR MINIMIZING MAKESPAN IN PERMUTATION FLOWSHOP SCHEDULING

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Journal of Systems Science and Systems engineering 2017年第1期26卷 50-76页

作者： Kannan Govindan R'Balasundaram N.Baskar e.Asokan Center for Sustainable Engineering Operations Management Department of Technology and Innovation University of Southern Denmark Odense M Denmark-5230 Department of Mechanical Engineering K.Ramakrishnan College of Engineering Tiruchirappalli Tamilnadu India Pin-621112 Department of Mechanical Engineering Saranathan College of Engineering Tiruchirappalli Tamilnadu India Pin 620012 Department of Production Engineering National Institute of Technology Tiruchirappalli Tamilnadu India Pin-620015

This work proposes a hybrid approach for solving traditional flowshop scheduling problems to reduce the makespan （total completion time）. To solve scheduling problems, a combination of Decision Tree （DT） and Scatter Search （SS） algorithms are used. Initially, the DT is used to generate a seed solution which is then given input to the SS to obtain optimal / near optimal solutions of makespan. The DT used the entropy function to convert the given problem into a tree structured format / set of rules. The SS provides an extensive investigation of the search space through diversification. The advantages of both DT and SS are used to form a hybrid approach. The proposed algorithm is tested with various benchmark datasets available for flowshop scheduling. The statistical results prove that the proposed method is competent and efficient for solving flowshop problems.

关键词： Flowshop scheduling makespan decision tree algorithm scatter search algorithm hybrid algorithm

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ANTARCTICA AND THE SOUTHERN OCEAN

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BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 2023年第9期104卷 S322-S365页

作者： Clem, Kyle R. Raphael, Marilyn N. School of Geography Environment and Earth Sciences Victoria University of Wellington Wellington New Zealand Scripps Institution of Oceanography University of California San Diego La Jolla California Department of Atmospheric and Oceanic Sciences University of Colorado Boulder Boulder Colorado Earth Science Observation Center Cooperative Institute for Research in Environmental Sciences (ESOC/CIRES) University of Colorado Boulder Boulder Colorado Argentine Naval Hydrographic Service Buenos Aires Argentina Department of Earth and Environmental Science Temple University Philadelphia Pennsylvania Department of Meteorology University of Valparaíso Valparaíso Chile Center for Climate and Resilience Research (CR)2 Santiago Chile British Antarctic Survey Cambridge United Kingdom Science Systems and Applications Inc. Lanham Maryland NASA Goddard Space Flight Center Greenbelt Maryland Royal Netherlands Meteorological Institute (KNMI) DeBilt The Netherlands Department of Marine Sciences University of Gothenburg Gothenburg Sweden Department of Geography Ohio University Athens Ohio NASA Jet Propulsion Laboratory Pasadena California NOAA/OAR Earth System Research Laboratory Global Monitoring Division Boulder Colorado University of Colorado Boulder Boulder Colorado National Oceanography Centre Southampton United Kingdom. Antarctic Meteorological Research and Data Center Space Science and Engineering Center University of Wisconsin-Madison Madison Wisconsin Department of Physical Sciences School of Arts and Sciences Madison Area Technical College Madison Wisconsin Australian Bureau of Meteorology and Institute for Marine and Antarctic Studies (IMAS) University of Tasmania Hobart Australia Earth Science and Observation Center CIRES University of Colorado Boulder Colorado University of St. Andrews St Andrews United Kingdom Princeton University Princeton New Jersey Australian Antarctic Division Australian Antarctic Program Partnership (AAPP) and Australian Centre fo

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Material flow cost accounting analysis of twin-roll casting magnesium strips

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Procedia Manufacturing 2018年 15卷 193-200页

作者： Claudia Kawalla Wiebke Berkel Rudolf Kawalla Michael Höck Mariusz Ligarski TU Bergakademie Freiberg Institute of Industrial Management Operations and Logistics Schlossplatz 1 09599 Freiberg Germany TU Bergakademie Freiberg Institute of Metal Forming Bernhard-von-Cotta-Str. 4 09599 Freiberg Germany Silesian University of Technology Institute of Production Engineering ul. Roosevelta 26-28 41800 Zabrze Poland

Twin-roll casting is an energy-efficient technology for the magnesium strip production consisting of casting and rolling combined in one process step. Producing magnesium strips in an adequate quality-price ratio requires the application of material flow cost accounting to identify hidden improvement potentials. In the following, a material flow cost accounting analysis is carried out for the twin-roll casting process of AZ31 twin-roll-cast strips. Based on the findings, inefficient process steps of the twin-roll casting process are to be revealed, and actions for cost reduction from the point of a stable process management are to be assessed. Overall, an economic process and efficient material consumption can be designed for twin-roll casting considering the strip property development.

关键词： Twin-roll casting Magnesium strips Material flow cost accounting

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The potential of future foods for sustainable and healthy diets (vol 1, pg 782, 2018)

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NATURE SUSTAINABILITY 2019年第4期2卷 342-347页

作者： Parodi, A. Leip, A. De Boer, I. J. M. Slegers, P. M. Ziegler, F. Temme, E. H. M. Herrero, M. Tuomisto, H. Valin, H. Van Middelaar, C. E. Van Loon, J. J. A. Van Zanten, H. H. E. Animal Production Systems Group Wageningen University & Research Wageningen The Netherlands European Commission Joint Research Centre Ispra Italy Operations Research and Logistics Wageningen University & Research Wageningen The Netherlands Agrifood and Bioscience RISE Research Institutes of Sweden Gothenburg Sweden National Institute for Public Health and the Environment (RIVM) Bilthoven The Netherlands Commonwealth Scientific and Industrial Research Organisation (CSIRO) St Lucia Australia Department of Agricultural Sciences Faculty of Agriculture and Forestry University of Helsinki Helsinki Finland Helsinki Institute of Sustainability Science (HELSUS) University of Helsinki Helsinki Finland Natural Resources Institute Finland (Luke) Helsinki Finland Ecosystems Services and Management Program International Institute for Applied Systems Analysis Laxenburg Austria Laboratory of Entomology Wageningen University & Research Wageningen The Netherlands

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Forecasting: theory and practice

arXiv

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arXiv 2020年

作者： Petropoulos, Fotios Apiletti, Daniele Assimakopoulos, Vassilios Babai, Mohamed Zied Barrow, Devon K. Taieb, Souhaib Ben Bergmeir, Christoph Bessa, Ricardo J. Bijak, Jakub Boylan, John E. Browell, Jethro Carnevale, Claudio Castle, Jennifer L. Cirillo, Pasquale Clements, Michael P. Cordeiro, Clara Oliveira, Fernando Luiz Cyrino de Baets, Shari Dokumentov, Alexander Ellison, Joanne Fiszeder, Piotr Franses, Philip Hans Frazier, David T. Gilliland, Michael Gönül, M. Sinan Goodwin, Paul Grossi, Luigi Grushka-Cockayne, Yael Guidolin, Mariangela Guidolin, Massimo Gunter, Ulrich Guo, Xiaojia Guseo, Renato Harvey, Nigel Hendry, David F. Hollyman, Ross Januschowski, Tim Jeon, Jooyoung Jose, Victor Richmond R. Kang, Yanfei Koehler, Anne B. Kolassa, Stephan Kourentzes, Nikolaos Leva, Sonia Li, Feng Litsiou, Konstantia Makridakis, Spyros Martin, Gael M. Martinez, Andrew B. Meeran, Sheik Modis, Theodore Nikolopoulos, Konstantinos Önkal, Dilek Paccagnini, Alessia Panagiotelis, Anastasios Panapakidis, Ioannis Pavía, Jose M. Pedio, Manuela Pedregal, Diego J. Pinson, Pierre Ramos, Patrícia Rapach, David E. Reade, J. James Rostami-Tabar, Bahman Rubaszek, Michal Sermpinis, Georgios Shang, Han Lin Spiliotis, Evangelos Syntetos, Aris A. Talagala, Priyanga Dilini Talagala, Thiyanga S. Tashman, Len Thomakos, Dimitrios Thorarinsdottir, Thordis Todini, Ezio Arenas, Juan Ramón Trapero Wang, Xiaoqian Winkler, Robert L. Yusupova, Alisa Ziel, Florian School of Management University of Bath United Kingdom Politecnico di Torino Turin Italy Forecasting and Strategy Unit School of Electrical and Computer Engineering National Technical University of Athens Greece Kedge Business School France Department of Management Birmingham Business School University of Birmingham United Kingdom Belgium Faculty of Information Technology Monash University Melbourne Australia INESC TEC – Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Social Statistics and Demography University of Southampton United Kingdom Centre for Marketing Analytics and Forecasting Lancaster University Management School Lancaster University United Kingdom School of Mathematics and Statistics University of Glasgow United Kingdom Department of Mechanical and Industrial Engineering University of Brescia Italy Magdalen College University of Oxford United Kingdom ZHAW School of Management and Law Zurich University of Applied Sciences Switzerland ICMA Centre Henley Business School University of Reading United Kingdom Faculdade de Ciências e Tecnologia Universidade do Algarve Portugal CEAUL Faculdade de Ciências Universidade de Lisboa Portugal Brazil Department of Business Informatics and Operations Management Faculty of Economics and Business Administration Universiteit Gent Belgium Let’s Forecast Australia Faculty of Economic Sciences and Management Nicolaus Copernicus University in Torun Poland Econometric Institute Erasmus School of Economics Rotterdam Netherlands Department of Econometrics and Business Statistics Monash University Melbourne Australia SAS United States Newcastle Business School Northumbria University Newcastle upon Tyne United Kingdom Department of Statistical Sciences University of Padua Italy Darden School of Business University of Virginia United States Finance Department Bocconi University Baffi-CAREFIN Centre Milan Italy Department of Tourism and Service Management MODUL Un

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases. © 2020, CC BY.

关键词： Forecasting

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Additive Manufacturing and PSS: a Solution Life-Cycle Perspective

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IFAC-PapersOnLine 2016年第12期49卷 1573-1578页

作者： Zanetti, Vittorio Cavalieri, Sergio Pezzotta, Giuditta Università degli Studi di Bergamo Department of Management Information and Production Engineering CELS Research Group on Industrial Engineering Logistics and Service Operations DalmineBergamo Italy

Additive Manufacturing (AM) technologies disclose mass customisation and agile manufacturing, along with fully-digitised supply chains lowering the environmental impact. Concurrently, the progressive servitisation of products builds on new sustainable consumption paradigms, closer to the customer needs. The two mutually-enforcing subject matters are thus tightly intertwined in leveraging on custom-tailored, green and on-demand solutions. In this paper, we investigate the relation between AM and Product-Service Systems (PSS) according to different and interdependent categories pertaining to lifecycle, service orientation and customer proximity. We present a descriptive template that may facilitate – without demanding completeness – the individuation of common traits and patterns in AM-based services. This study represents a preliminary effort to systematise a cutting-edge technology with a PSS standpoint and to pave the way for future research. © 2016

关键词： Life cycle 3D printers Environmental impact Environmental technology Sales Supply chains Agile manufacturing Customer Proximity Cutting edge technology Glocalisation Life cycle perspectives Product service systems Productservice system (PSS) Sustainable consumption

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