Raquel Sanchis

Técnicas para el Modelado de Procesos de Negocio en Cadenas de Suministro

El presente articulo muestra una revision y evaluacion de las tecnicas y metodologias genericas de modelado de procesos de negocio mas populares y utilizadas en la literatura. El principal objetivo del estudio es la propuesta de una taxonomia de clasificacion de las tecnicas de modelado aplicadas a las caracteristicas propias de las cadenas de suministro, para facilitar la seleccion de las mas apropiadas. Para verificar la clasificacion, se describe un caso real de estudio en cadenas de suministro, en el que se relaciona una cadena de suministro del sector ceramico y una del sector del mueble. Del estudio realizado, se propone un metodo que incluye cuatro tecnicas para la representacion de las diferentes perspectivas de modelado en una cadena de suministro.

Fault-Detection via Parameter Estimation in Continuous-Time Systems with Random Sampling (Scarce Measurements)

Abstract In this paper, a modified least squares parameter estimation algorithm with scarce data is used to tackle the problem of performing fault-detection in a continuous-time system whose output measurements are obtained through value-driven sensors. These sensors are simple on-off switches reading a time value when a certain system element reaches a precisely known position or voltage. A crane model application case study is discussed.

Definition of a framework to support strategic decisions to improve Enterprise Resilience

Abstract Enterprise resilience is a complex concept that involves different properties and research areas. Based on the literature review, three main properties related to enterprise resilience have been identified: vulnerability, adaptative capacity and recovery ability. On the other hand, an analysis of the current literature approaches to measure and assess enterprise resilience has been described. However, approaches that assess and measure simultaneously the three main properties of enterprise resilience have not been found. To bridge this gap, the paper presents the definition of a conceptual framework to support strategic decisions related to enterprise resilience by defining the main research areas of the identified enterprise resilience properties to provide the basis for further research.

Collaborative Strategies Alignment to Enhance the Collaborative Network Agility and Resilience

Current supply networks are embedded in dynamic and turbulent environments, and must face the appearance of some disruptive events throughout their life cycle. Disruptions are almost always accompanied by negative effects, resulting on performance loss for both, the enterprises and the network. The activation of proactive strategies will allow enterprises to reduce this loss when a disruption appears. Enterprises must be aware of that the activated strategies must be aligned, so that they positively influence the objectives and the performance indicators defined by all the network partners. This paper proposes a simulation model to support enterprises in the decision-making on which proactive strategies activate in order to be aligned, from a collaborative perspective. The main aim is to limit the adverse effects produced by the disruptions. Such aligned strategies allow collaborative enterprises to move in the same direction when a disruption appears. In addition the strategies enhance the resilience and agility of both the enterprises and the network as well as positively influence the objectives and the performance indicators defined by all the network partners

Digital Model Parameter Estimation with Missing Data

Abstract In this paper, a modified least squares parameter estimation algorithm dealing with scarce data is presented to tackle the problem of tracking a reduced number of parameters in a continuous-time system. The process output measurements may be obtained in various ways, always assuming for them a lower availability than for process input ones. Particular cases here considered are: periodic sampling at a lower rate, random sampling, and a set of simple on-off sensors that trigger an interrupt when a certain system element reaches a precisely known position or voltage (value-driven sensors). This approach is to be shown mainly interesting for fault detection applications.

Order Fulfilment Strategies in the Capital Goods Sector. An Empirical Research

The capital goods sector is characterized by complex and heavily engineered products. Moreover, customers demand customized features of such products. For this reason, the choice of the most appropriate Order Fulfilment Strategy and the position of the Customer Order Decoupling Point are key aspects to manufacture products in such a sector. This study analyzes the different strategies used by capital goods sector companies depending on the customization degree of the products manufactured. The research is based on an empirical study among capital goods sector companies and explores relationship between four types of products, depending on their customization degree (standard, configurable, customizable and unique) and four different Order Fulfilment Strategies: Make-to-stock, Assemble-to-order, Make-to-order and Engineer-to-order.

Leagility in Enterprise Networks Configuration of Capital Goods Sector

The paper reviews the characteristics of lean and agile paradigms as well as the different order fulfilment strategies, through the position of the Order Penetration Point (OPP). Based on an empirical study, the paper explores the findings of the literature review applied to the capital goods sector. It analyses four distinguishing factors between the lean and the agile paradigm: typical products, marketplace demand, product variety and customer drivers in combination with the different OPP positions: ETO, MTO, ATO and MTS.

TEAM BUILDING DYNAMICS: AN APPLICATION TO MBA STUDENTS

This paper introduces the concept of team building dynamics for teaching management of high performance teams. A set of methodologies for application, using team building dynamics is proposed and described, by considering also all the steps to follow by the students in order to properly carry out each team building dynamic. Examples of applications in practical classes devoted to MBA students are presented. Finally, a discussion about how the proposed team building dynamics can facilitate compact teamwork is described. The importance of future MBA students, to know the main skills of a good manager, is one of the objectives to achieve in the university education process.

A Proposal of Standardised Data Model for Cloud Manufacturing Collaborative Networks

The growing amount of data to be handled by collaborative networks raises the need of introducing innovative solutions to fulfil the lack of affordable tools, especially for Small and Medium-Sized Enterprises, to manage and exchange data. The European H2020 Project Cloud Collaborative Manufacturing Networks develops and offers a structured data model, called Standardised Tables, as an organised framework to jointly work with existing databases to manage big data collected from different industries belonging to the CNs. The information of the Standardised Tables will be mainly used with optimisation and collaboration purposes. The paper describes an application of the Standardised Tables in one of the pilots of the aforementioned project, the automotive industry pilot, for solving the collaborative problem of a Materials Requirement Plan.

A Holistic Algorithm for Materials Requirement Planning in Collaborative Networks

Collaboration has increasingly been considered a key topic within the small and medium-sized enterprises, allowing dealing with the intense competitiveness of today’s globalised markets. The European H2020 Cloud Collaborative Manufacturing Networks Project proposes mechanisms to encourage collaboration among enterprises, through the computation of collaborative plans. Particularly, this paper focuses on the proposal of a holistic algorithm to deal with the automated and collaborative calculation of the Materials Requirement Plan. The proposed algorithm is validated in a collaborative network belonging to the automotive industry.