Publications related to A decision support system assessing the trust level in supply chains based on information sharing dimensions

Related publications (36)

Design ontology for cognitive thread supporting traceability management in model-based systems engineering

Industrial information integration engineering (IIIE) is an interdisciplinary field to facilitate the industrial information integration process. In the age of complex and large-scale systems, model-based systems engineering (MBSE) is widely adopted in ind ...

Elsevier2024

Mobile eye tracking applied as a tool for customer experience research in a crowded train station

Andrea Regula Schneider

Train stations have increasingly become crowded, necessitating stringent requirements in the design of stations and commuter navigation through these stations. In this study, we explored the use of mobile eye tracking in combination with observation and a ...

2023

High spatial resolution dataset of La Mobiliere insurance customers

Claudia Rebeca Binder Signer, Emanuele Massaro

We present the La Mobiliere insurance customers dataset: a 12-year-long longitudinal collection of data on policies of customers of the Swiss insurance company La Mobiliere. To preserve the privacy of La Mobiliere customers, we propose the data aggregated ...

NATURE PORTFOLIO2022

Deep MinCut: Learning Node Embeddings by Detecting Communities

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

We present Deep MinCut (DMC), an unsupervised approach to learn node embeddings for graph -structured data. It derives node representations based on their membership in communities. As such, the embeddings directly provide insights into the graph structure ...

ELSEVIER SCI LTD2022

A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance

Jinzhi Lu

Supply Chain Finance (SCF) refers to the financial service in which banks rely on core enterprises to manage the capital flow and logistics of upstream and downstream enterprises. SCF adopts a self-testing and closed-loop credit model to control funds and ...

KEAI PUBLISHING LTD2022

Industry 4.0 Technologies and Customer-centricity for Digital Supply Chains

Rachel Agnès Laetitia Rosemonde Marie Lacroix

The last few years have experienced the emergence of Industry 4.0 (I4.0), ultra-customization, and the explosion of demand for ethical, fair trade, and sustainable consumption. Organizations have therefore started a digital transformation of their SCs and ...

EPFL2021

Direct measurement of the triple spin flip rate in dynamic nuclear polarization

Andrea Capozzi

A previous study of the effect of Gadolinium doping on the dynamic polarization (DNP) of C-13 using trityls showed that the rate at which the polarization builds up is almost independent of the Gadolinium concentration, while the electron spin-lattice rela ...

Academic Press Inc - Elsevier Science2021

Coupled segregation mechanisms of Sc, Zr and Mn at theta ' interfaces enhances the strength and thermal stability of Al-Cu alloys

Baptiste Thomas Jean Rouxel

The refinement and thermal stability of intermediate theta-prime (theta') precipitates are critical in the development of new high strength 2xxx series aluminium-copper (Al-Cu) alloys for high temperature applications. In this work, we use trace additions ...

PERGAMON-ELSEVIER SCIENCE LTD2021

The Impact of Collaborative Scheduling and Routing for Interconnected Logistics: A European Case Study

Jianghang Chen, Michel Bierlaire, Mohammad Yousef Maknoon, Shadi Sharif Azadeh

Interconnected logistics system can play an important role towards having a more sustainable green freight transport. Recently, after introducing the concept of Physical Internet (PI), researchers have started to explore the opportunities and challenges th ...

Springer, Cham2021

A methodology to design measurement systems when multiple model classes are plausible

Ian Smith, Numa Joy Bertola, Sai Ganesh Sarvotham Pai

The management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Civil infrastructure often has hidden reserve capacity because of conservative approaches used in design and during constructi ...

2021

Coupling electrocoagulation and solar photocatalysis for electro- and photo-catalytic removal of carmoisine by Ag/graphitic carbon nitride: Optimization by process modeling and kinetic studies

Sami Rtimi

Graphitic carbon nitride, g-C3N4, have been receiving intense attention the last decades due to its unique physicochemical properties, and even more importantly, due to the visible light driven photoreactivity. Hence, the design and synthesis of novel phot ...

ELSEVIER2021

High Sensitivity Detection of a Solubility Limiting Surface Transformation of Drug Particles by DNP SENS

David Lyndon Emsley, Arthur César Pinon, Jasmine Viger-Gravel

We investigate the presence of a surface species for the active pharmaceutical ingredient (API) AZD9496 with dynamic nuclear polarization surface enhanced nuclear spectroscopy (DNP SENS). We show that using DNP we can elucidate the presence of an amorphous ...

2021

Product assortment and space allocation strategies to attract loyal and non-loyal customers

Ralf Seifert, Anna Timonina-Farkas, Argyro Katsifou

Assortment planning deserves much attention from practitioners and academics due to its direct impact on retailers' commercial success. In this paper we focus on the increasingly popular retail practice to use combined product assortments with both "standa ...

2020

Measurement-system design for structural identification

Numa Joy Bertola

In developed countries, the management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Due to conservative approaches in construction design and practice, infrastructure often has hidden re ...

EPFL2020

Zero Defect Manufacturing Strategies and Platform for Smart Factories of Industry 4.0

Dimitrios Kyritsis, Gökan May

Within the context of market globalisation, the quality of products has become a key factor for success in manufacturing industry. The growing unpredictability of demand necessitates continuous adjustments in production targets. Addressing customer needs a ...

SPRINGER-VERLAG BERLIN2019

Convolutional Relational Machine for Group Activity Recognition

Alexandre Massoud Alahi

We present an end-to-end deep Convolutional Neural Network called Convolutional Relational Machine (CRM) for recognizing group activities that utilizes the information in spatial relationsbetween individualpersons in image or video. It learns to produce an ...

IEEE2019

Valuing quantity flexibility under supply chain disintermediation risk

Isik Bicer

We consider a supply chain with one supplier and one retailer in which the parties develop a quantity flexibility contract to specify the conditions of procurement activities. The contract allows the retailer to adjust the initial order quantity after the ...

Elsevier Science Bv2016

The roles of coupling and the deviation matrix in determining the value of capacity in M/M/1/C queues

Sophie Myriam Hautphenne

In an M/M/1/C queue, customers are lost when they arrive to find C customers already present. Assuming that each arriving customer brings a certain amount of revenue, we are interested in calculating the value of an extra waiting place in terms of the expe ...

Springer Verlag2016

A Digital Platform connecting Academia and Small Businesses: An opportunity for Knowledge Management Experiments

Quentin Adrien Cavillier

Digital transformation is one of the biggest phenomena of this decade. One enabler of this revolution was cloud computing. Today, software engineers can deliver software as a service (SaaS), which is accessible to users through the Internet. Slack, Shopify ...

EPFL2019

Toward timely, predictable and cost-effective data analytics

Renata Borovica-Gajic

Modern industrial, government, and academic organizations are collecting massive amounts of data at an unprecedented scale and pace. The ability to perform timely, predictable and cost-effective analytical processing of such large data sets in order to ext ...

EPFL2016