Agent Based Simulation Approach To Assess Supply Chain Complexity And Its Impact On Performance


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Agent Based Simulation Approach to Assess Supply Chain Complexity and Its Impact on Performance


Agent Based Simulation Approach to Assess Supply Chain Complexity and Its Impact on Performance

Author: Mayolo Alberto López Castellanos

language: en

Publisher: BoD – Books on Demand

Release Date: 2012


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In today's global business environment, the intense competition, the changing and uncertain conditions, and the increasing customer's requirements are challenges for the companies' operational efficiency and profitability. In this context, companies highlight the importance of supply chain design and its holistic understanding in order to achieve and sustain competitive strengths. This book analyses supply chains as complex systems, whose performance is characterized by their structural configuration and emergent behaviour. The author analyses the supply chain structure and behaviour within the scope of complexity science. He focuses on supply chain complexity by means of a literature review and an empirical research, which give insights into the impact of complexity on supply chain performance. Moreover, within this book the supply chain is modelled as a complex system by considering the non-linear relationships of its geo-positioned elements. Finally, an agent based model is developed for the generic supply chain simulation, which allows assessing the impact of complexity on supply chain performance and characterizing the behaviour of supply chain designs. The materials presented in this book contribute to the understanding and management of supply chain complexity. This work complements existing complexity frameworks with a holistic analysis of complexity's impact on the performance of supply chain participants and their network. The findings of this work are relevant for researchers interested in characterizing supply chain phenomena by enabling them to model supply chain structures and to simulate their emergent behaviour. Practitioners can benefit from the provided model and simulation platform by allowing them to dynamically assess the performance of their supply chain designs and strategy definitions. By these means, they improve their decision-making and business profitability. In all, this book contributes towards the development of artificial intellig

Sustainability and Collaboration in Supply Chain Management


Sustainability and Collaboration in Supply Chain Management

Author: Wolfgang Kersten

language: en

Publisher: BoD – Books on Demand

Release Date: 2013-08-22


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As the customer is demanding more sustainable and affordable products, the supply chains have to find innovative ways to fulfill this need. In this context, collaboration as well as optimization methods are becoming even more evident to enhance supply chain structure to an efficient and sustainable approach. While collaboration and optimization increase complexity and susceptibility, risk management needs to be applied concurrently. This volume, edited by Wolfgang Kersten, Thorsten Blecker and Christian Ringle, provides valuable insights into: - Sustainability in Logistics - Sustainability and collaboration practices - Supply chain risk management - Optimization methods in supply chain management. This volume addresses timely and relevant topics. Both researchers and practitioners are addressed and can obtain background information from current distributions by international authors presenting a state of the art research overview.

Advances in Conceptual Modeling


Advances in Conceptual Modeling

Author: Motoshi Saeki

language: en

Publisher: Springer Nature

Release Date: 2024-10-25


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This book constitutes the refereed proceedings of the workshops held at the 43rd International Conference on Conceptual Modeling, ER 2024, which took place in Pittsburgh, PA, USA, during October 28-31, 2024. The 22 full papers and 1 short paper included in this book were carefully reviewed and selected from 52 submissions. They stem from the following workshops: AISA’2024 - The First International Workshop on AI Services and Applications CMLS2024 - The 5th International Workshop on Conceptual Modeling for Life Sciences EmpER'24 -7th International Workshop on Empirical Methods in Conceptual Modeling QUAMES 2024 - 5th International Workshop on Quality and Measurement of Model-Driven Software Development JUSMOD24 - 3rd International Workshop on Digital JUStice, Digital Law and Conceptual MODeling LLM4Modeling - 2nd Workshop on Modeling in the Age of Large Language Models