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Reverse Logistic Integration for Concurrent Configuration of Product and Supply Chain: Financial Feasibility Study 7th

Reverse Logistic Integration for Concurrent Configuration of...

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7th International Conference on Logistics Operations Management (GOL)

作者： Barane, Mohamed Ouzizi, Latifa Douimi, Mohammed Ecole Natl Super Arts & Metiers ENSAM Meknes Morocco

ISBN: (纸本)9783031686276;9783031686283

Recently the integration of the reverse logistic operations is considered as an urgent necessity to deal with raw material scarcity and logistic chain network disruption. Thus, the implementation of this concept in the topic of the concurrent configuration of the product and supply chain may reduce considerably the overall cost of the logistic chain. In this paper we present a new mono-objective mathematical model to handle the problem, taken into account activities related to possible partner of the supply chain partner. The model handles a set of new alternatives, and look for the optimal one that optimize the global cost considering two specific cases: situation before and after the application of the reverse logistic operations. The model, then, is validated by a case study of our choice using a mixed integer linear programming (MILP). The results illustrate the performance of the suggested approach and present a standard model to follow. The numerical resolution facilitates interpretation within a reasonable computational time.

关键词： Product configuration Close loop supply chain Components' emanufacturing MILP

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New Measurement Techniques Describing the Sinter Process 11th

New Measurement Techniques Describing the Sinter Process

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Thienpont, Emanuel Kashi Hauck, Thorsten Erolglu, Tolga Kleinert, Tobias Walter, Kerstin VDEH Betriebsforschungsinst gmbH Sohnstr 69 D-40237 Dusseldorf Germany Rhein Westfal TH Aachen Turmstr 46 D-52062 Aachen Germany DK Recycling & Roheisen GmbH Werthauser Str 182 D-47053 Duisburg Germany

ISBN: (纸本)9783031456503;9783031456510

Sinter with high and consistent quality, produced with low costs and emissions is very important for iron production. Transport and storage degrade sinter quality, generating fines and segregation effects. Conventional sinter quality monitoring is insufficient as it is slow and expensive. Consequently, sinter quality and the impact of different sinter quality on daily BF operation is extremely nontransparent. In this work, a new approach will be implemented to strengthen the data base that describes the sinter quality at a sinter plant. New on-line measurements will be established, combined, and analyzed with Big Data technologies. This break-through in continuous quality monitoring should help to get continuous quality indices for sinter and will enable combined optimization of sinter plant and BF.

关键词： Sinter Plant Hot Crusher Acoustic Measurement Technique Sinter Quality Indices Data Mining

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12th World Conference on Information systems and Technologies (WorldCIST)

作者： Rozinek, Ondrej Borkovcova, Monika Mares, Jan Univ Pardubice Dept Proc Control Studentska 95 Pardubice 53210 Czech Republic Univ Pardubice Dept Informat Technol Studentska 95 Pardubice 53210 Czech Republic Univ Chem & Technol Prague Dept Math Informat & Cybernet Tech 5 Prague 16628 Czech Republic

ISBN: (纸本)9783031603273;9783031603280

Record linkage is the process of matching records from multiple data sources that refer to the same entities. When applied to a single data source, this process is known as deduplication. With the increasing size of data source, recently referred to as big data, the complexity of the matching process becomes one of the major challenges for record linkage and deduplication. In recent decades, several blocking, indexing and filtering techniques have been developed. Their purpose is to reduce the number of record pairs to be compared by removing obvious non-matching pairs in the deduplication process, while maintaining high quality of matching. Currently developed algorithms and traditional techniques are not efficient, using methods that still lose significant proportion of true matches when removing comparison pairs. This paper proposes more efficient algorithms for removing non-matching pairs, with an explicitly proven mathematical lower bound on recently used state-of-the-art approximate string matching method - Fuzzy Jaccard Similarity. The algorithm is also much more efficient in classification using Density-based spatial clustering of applications with noise (DBSCAN) in log-linear time complexity O(|epsilon| log(|epsilon|)).

关键词： record deduplication Q-gram filter record linkage entity resolution similarity space bipartite matching similarity join

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Solver Based Heuristics for Rolling Stocks Corrective Maintenance Scheduling 7th

Solver Based Heuristics for Rolling Stocks Corrective Mainte...

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7th International Conference on Logistics Operations Management (GOL)

作者： Ray, Tom Bocquillon, Ronan T'kindt, Vincent SNCF Voyageurs Ingn Mat Cluster Ouest St Pierre Des Corps France Univ Tours Lab Informat Fondamentale & Appl Tours LIFAT Tours France

ISBN: (纸本)9783031686337;9783031686344

Trains have a constrained schedule and are not available on demand. If a malfunction is detected, the moment and the place to fix the problem while keeping the network at its optimal use may not be easy to find, given that there will be multiple problems throughout the network. Deciding of the maintenance requests the solution of a scheduling problem. The goal of this research is to provide an efficient solution to this problem. To achieve this aim, we develop a mixed integer linear programming model, a constraint programming model and multiple heuristic algorithms such as a Local Branching (LB) over the mixed integer linear programming model and a Variable Partitioning Local Search (VPLS) over the constraint programming model.

关键词： Rolling Stock maintenance Mathematical Programming Constraint Programming Heuristics

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Comparing Effectiveness of Statistical Versus Deep Learning for Time Series Forecasting 8th

Comparing Effectiveness of Statistical Versus Deep Learning ...

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Yadav, Hemant N. Thakkar, Amit Rochwani, Nesh Patel, Rudra Charotar Univ Sci & Technol Changa Chandubhai S Patel Inst Technol Fac Technol Smt Kundanben Dinsha Patel Dept Informat Technol Anand Gujarat India Charotar Univ Sci & Technol CHARUSAT Changa Chandubhai S Patel Inst Technol CSPIT Dept Comp Sci & Engn Anand Gujarat India

ISBN: (纸本)9789819713127;9789819713134

One of the most popular academic subjects is the forecasting of time series. Machine learning, or ML, approaches have been proposed as substitutes to statistical ones in academic literature for forecasting time series. However, information on their respective effectiveness when it comes to both precision and computational demands is scarce. Machine learning approaches are increasingly being used to handle these predicted challenges, instead of traditional statistical methods. However, there is a limitation of comparative data for advanced models developed in the past few years such as DeepAR and Prophet. We have also utilized models such as LSTM, GRU, RNN, ARIMA. In this research, we addressed this problem and compared six different models for the Jena Climate dataset and the Appliances Energy forecast dataset.

关键词： Time series Forecasting Deep learning Statistical forecasting LSTM

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Identifying Urban Logistics Strategies in Istanbul Using Multiple Preference Relations-Based SWOT Analysis

Identifying Urban Logistics Strategies in Istanbul Using Mul...

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Buyukozkan, Gulcin Feyzioglu, Orhan Ilicak, Oyku Galatasaray Univ Ind Engn Dept Istanbul Turkiye

ISBN: (纸本)9783031671913;9783031671920

Urban logistics refers to the planning, organization, and implementation of the flow of goods, services, and information within urban areas. It encompasses the entire supply chain process, from the transportation and storage of goods to the final delivery to end-users. Urban logistics plays a pivotal role in the economic development and sustainability of cities, focusing on optimizing the movement of goods while minimizing environmental impacts and improving the overall urban living experience. The objective of this study is to identify and evaluate strategies for the effective urban logistics ***. To formulate a strategy, SWOT (strengths, weaknesses, opportunities, threats) analysis is employed as a straightforward and efficacious method for discerning internal and external factors, serving as the foundational framework for strategy development. Existing research literature underscores certain limitations inherent in the conventional SWOT analysis, particularly concerning the prioritization of factors and strategies. Consequently, this paper endeavors to propose an integrated SWOT analysis incorporating a multiple preference relations (MPR) technique, framed within a group decision-making context, to systematically prioritize strategic factors and proffer alternative strategies conducive to the effective management of urban logistics ***. The application of the MPR approach facilitates the inclusion of perspectives from experts with diverse qualifications and opinions, thus enabling a nuanced exploration of preferences. Additionally, this approach affords decision-makers flexibility through the utilization of various forms of judgments, contributing to a heightened satisfaction level in the decision-making process.

关键词： Urban Logistics SWOT Analysis Group Decision Making Multiple Preference Relations

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Open-SourceWeb System for Veterinary Management: A Case Study of OSCRUM 1

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Rodriguez, Nancy Llerena, Lucrecia Guevara, Pamela Baren, Rosa Castro, John W. Univ Tecn Estatal Quevedo Fac Ciencias Ingn Quevedo Ecuador Univ Atacama Dept Ingn Informat & Ciencias Computac Copiapo Chile

ISBN: (数字)9783031456428

ISBN: (纸本)9783031456411;9783031456428

Nowadays, even though technology has advanced by leaps and bounds, companies still carry out part of their management without using a computer system. Most veterinaries keep track of their pets' medical records manually. Therefore, an open-source web system called SysVet has been proposed to support veterinaries' management in administering pet health records. The Systematic Mapping Studying (SMS) methodology was used to search for relevant information, and the OSCRUM methodology was used to carry out the development process of the open-source web system, which has allowed the organization and timely fulfill the system requirements. It can be concluded that the use of the OSCRUM methodology has allowed for obtaining favorable results in terms of fulfilling the tasks for the implementation of the SysVet web system.

关键词： System Web Open-Source Veterinary

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Analyzing Quality of Service and Defining Marketing Strategies for Public Transport: The Case of Metropolitan Area of Porto 11th

Analyzing Quality of Service and Defining Marketing Strategi...

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Ferreira, Marta Campos Peralo, Guillermo Dias, Teresa Galvao Tavares, Joao Manuel R. S. Univ Porto Fac Engn R Dr Roberto Frias P-4200465 Porto Portugal INESC TEC R Dr Roberto Frias P-4200465 Porto Portugal

ISBN: (纸本)9783031456503;9783031456510

The aim of this work is to determine, based on a market research, the level of passenger satisfaction with public transport services, in order to support better marketing decisions. This survey involves dimensions such as the level of satisfaction with timetables and frequency, vehicle conditions, driver attitudes and behavior, fares and information made available to passengers. The study was applied to the case of public transport in the Porto Metropolitan Area, Portugal, and aims to help define recommendations to improve the quality of service and define more effective marketing strategies.

关键词： Grounded Theory Quantitative Data

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The Concept of Digital Transformation of SMEs Through the Implementation of ERP and MES systems and Lean Tools 14th

The Concept of Digital Transformation of SMEs Through the Im...

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14th International Conference on Learning Factories (CLF)

作者： Saravanja, Luka Stojkic, Zeljko Bosnjak, Igor Veza, Ivica Univ Mostar Fac Mech Engn Comp & Elect Engn Matice Hrvatske Bb Mostar 88000 Bosnia & Herceg Univ Split Fac Elect Engn Mech Engn & Naval Architecture Rudera Bogkovica 32 Split 21000 Croatia

ISBN: (纸本)9783031653995;9783031654008

Industry 4.0 and digital transformations shape business today more than ever, with the aim of achieving better results and performance. The introduction of digital technologies enables the creation of an agile and flexible business that is ready to respond to the demands of today's production. As a basic prerequisite for the implementation of Industry 4.0, modern information system are needed, which are the backbone for networking, collecting and processing data in real time. This especially applies to MES systems. However, in order for information systems as well as other digital technologies to realise their full potential on the path of Industry 4.0, knowledge and use of Lean manufacturing for the organisation is necessary, to achieve efficient production and business processes without losses. The goal of this paper is to contribute to a better understanding of the possibilities of digital technologies in the field of information systems in production, as well as to present the concept of digital transformation in SMEs with the support of Lean manufacturing, and all with the support of the learning factory. The paper presents an example of the implementation of digital transformation in a local company through the implementation of information systems as well as Lean manufacturing. Also, the paper describes previous research in the field of digital transformation of SMEs, achieved through the work and developed infrastructure of the learning factory, which gave a broader picture of the current state of enterprises in the environment on the way to digital transformation and Industry 4.0.

关键词： Industry 4.0 Digital Transformation MES systems Lean Manufacturing Learning Factory

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Analysis of the Perception of Innovations Adoption in Public Health Establishments in Morocco: Crossed Perspectives of Healthcare Professionals 4th

Analysis of the Perception of Innovations Adoption in Public...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Hantem, Aziz Soussi, Houssine Emzi, Khadija Emzi, Kawtar Ibn Zohr Univ Lab MADILOG Agadir Morocco Ibn Zohr Univ Natl Sch Business & Management Dakhla Agadir Morocco Ibn Zohr Univ Natl Sch Business & Management Agadir Agadir Morocco

ISBN: (纸本)9783031686498;9783031686504

The aim of this study is to identify and analyze healthcare professionals' perceptions of the adoption of innovations within public health establishments in Morocco. To answer our research question "What is the perception of innovations among healthcare professionals in Morocco?" and to test our hypotheses, we adopted a quantitative methodological approach based on hypothetico-deductive reasoning. The empirical results show that only two objectives positively favor the acceleration of innovation adoption in healthcare facilities. However, the explanatory variable "Perception of innovations" and the explanatory variables "Professional category" and "Age of healthcare professionals" are independent.

关键词： Perception Innovations Healthcare professionals Healthcare sector Morocco

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