88,601 research outputs found

    A simulation model for lean, agile, resilient and green supply chain management: practices and interoperability assessment

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    Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão IndustrialIn today’s global market, the environment of unpredictable events has imposed a competitiveness improvement that requires a greater coordination and collaboration among Supply Chain (SC) entities, i.e., an effective Supply Chain Management (SCM). In this context, Lean, Agile, Resilient and Green (LARG) strategies emerged as a response. However, interoperability issues are always presents in operations among SC entities. From the Information Technology (IT) perspective, among all the multi-decisional techniques supporting a logistics network, simulation appears as an essential tool that allow the quantitative evaluation of benefits and issues deriving from a co-operative environment. The present work provides a SC simulation model for analysing the effect of the interoperability degree of LARG practices in the SC performance, through Key Performance Indicators (KPI’s) such as cost, lead time and service level. The creation of two scenarios with a different point of view about the LARG practices allowed to analyse which one contributes to the best SC performance. Since some of the inputs were assumed, it was made a sensitivity analysis to validate the output of the simulation model. Based on the creation of six types of math expressions, it was possible to establish the connection between the effect of the interoperability degree of LARG practices and the SC performance. This analysis was applied on a case study that was conducted at some entities of a Portuguese automotive SC. The software used to develop the simulation model is Arena, which is considered a user-friendly and dynamic tool. It was concluded that SCM, interoperability and simulation subjects must be applied together to help organisations to achieve overall competitiveness, focusing their strategies on a co-operative environment

    Business Process Innovation using the Process Innovation Laboratory

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    Most organizations today are required not only to establish effective business processes but they are required to accommodate for changing business conditions at an increasing rate. Many business processes extend beyond the boundary of the enterprise into the supply chain and the information infrastructure therefore is critical. Today nearly every business relies on their Enterprise System (ES) for process integration and the future generations of enterprise systems will increasingly be driven by business process models. Consequently process modeling and improvement will become vital for business process innovation (BPI) in future organizations. There is a significant body of knowledge on various aspect of process innovation, e.g. on conceptual modeling, business processes, supply chains and enterprise systems. Still an overall comprehensive and consistent theoretical framework with guidelines for practical applications has not been identified. The aim of this paper is to establish a conceptual framework for business process innovation in the supply chain based on advanced enterprise systems. The main approach to business process innovation in this context is to create a new methodology for exploring process models and patterns of applications. The paper thus presents a new concept for business process innovation called the process innovation laboratory a.k.a. the Ð-Lab. The Ð-Lab is a comprehensive framework for BPI using advanced enterprise systems. The Ð-Lab is a collaborative workspace for experimenting with process models and an explorative approach to study integrated modeling in a controlled environment. The Ð-Lab facilitates innovation by using an integrated action learning approach to process modeling including contemporary technological, organizational and business perspectivesNo; keywords
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