Papers by Jorge E. Hernández
Operations management deals with the design and management of products, processes, services and s... more Operations management deals with the design and management of products, processes, services and supply chains. Supply chains integration and manufacturing operations management can benefit highly from the use of webbased technologies by ensuring a smooth connectivity and interoperability between software components, especially in a real-time basis by reinforcing the use of multi-agents combined with web service based technologies. The more the accurate and dynamic is the update of the information in a company, the more the enhancement of the manufacturing decision-making process will be over the whole company's performance. Moreover, web-based technologies combined with multi-agents provide gains in agility and flexibility for building versatile supply chain management systems. Therefore, the purpose of this paper is to present and propose an integrated web-based framework to cover the main integration requirement from a system point of view, this within the main purpose of supporting the supply chain management and operation in supply chain environments. For this purpose, an automotive supply chain industry is considered to illustrate the applicability of this proposed framework.
The EURO Working Group on Decision Support Systems (EWG-DSS), in cooperation with the University ... more The EURO Working Group on Decision Support Systems (EWG-DSS), in cooperation with the University of Liverpool Management School, has the pleasure to organize the EWG-DSS Liverpool-2012 Workshop on “Decision Support Systems & Operations Management Trends and Solutions in Industries“, during the period of April 12th to April 13th, 2012.
Production Planning & Control, 2014
ABSTRACT Creativity in decision-making is increasingly focusing on providing solutions that consi... more ABSTRACT Creativity in decision-making is increasingly focusing on providing solutions that consider how different approaches and different ideas work productively together. This is particularly evident in the operations management field. In order to support such a decision-making revolution, the nature of inter-organisational collaboration is changing and requires a higher degree of tactical and strategic co-ordination as well as the design and implementation of new decision-support tools and information sharing schemas with network partners. Therefore, the study of collaborative decision-making trends and solutions and their contribution to improved operations and business performance is presented as a theme of contemporary interest and for both practitioners and academics. It is a pleasure for the EURO Working Group on Decision Support Systems (EWG-DSS) to introduce this special issue of the Production Planning & Control Journal on ‘Collaborative Decision-Making and Decision Support Systems for enhancing Operations Management in Industrial Environments’. This special issue has focused on bringing together a range of papers that address and implement collaborative solutions for supporting the design of production systems. The papers finally accepted and published in this special issue have been subject to a rigorous peer review process, based on initial editor screening and anonymous refereeing by four independent highly-qualified expert referees. Hence, we would like to thank all the authors and reviewers for their efforts and for their valuable feedback within this process. Six papers from a total of twenty-six submissions have finally made it through the two-stage review process. Each of these papers has not only employed a thorough methodological approach but has also attempted to address real industry problems, solutions and challenges. The final set of papers provides a knowledge confluence for research into decision support systems, collaborative solutions and operations management in a variety of industrial environments. Firstly, we were very pleased to receive the manuscript ‘A knowledge chain management framework to support integrated decisions in global supply chains’ from Shaofeng Liu, Jonathan Moizer, Phil Megicks, Dulekha Kasturiratne and Uchitha Jayawickrama. The authors have proposed a global knowledge chain management framework that identifies and prioritises critical knowledge that global supply chain environments can consider for supporting their integrated decisions. From their results of their study, manufacturing industries can understand and visualise better how to support integrated decisions under a global supply chain perspective. Also from a global decision-making perspective, the next contribution is made by Andrés Boza, M.M.E. Alemany, F. Alarcón, Llanos Cuenca entitled ‘A model-driven DSS architecture for delivery management in collaborative supply chains with lack of homogeneity in products’. In this paper, a model-driven decision support system has been conceived to support the process of re-allocating available inventory in collaborative supply chains. The main implications of using and implementing the developed collaborative solution are demonstrated in an application in the ceramics industry. The third contribution ‘Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system’ is by Jorge E. Hernández, Andrew C. Lyons, Josefa Mula, Raul Poler and Hossam Ismail. Linked to the a novel combination of collaboration, supply chain design, operations management and decision support systems, this paper presents a generic collaborative solution, implemented in the automotive industry, which supports multi-level decision-making processes in multi-level supply chain environments from a tactical point of view within a negotiation process. Based on a multi-agent system implementation, it demonstrates that profit and service level for every supply chain node, and the supply chain as a whole, can be improved by re-engineering the supply chain to support a collaborative decision-making design. In line with the previous papers, the fourth contribution, from Julien Maheut, Juan Manuel Besga, Jone Uribetxeberria and Jose P. Garcia-Sabater, deals with the operational perspective of the collaborative decision-making process in supply chain networks and is entitled ‘A Decision Support System for modeling and implementing the Supply Network Configuration and Operations Scheduling problem in the machine tool industry’. The key thrust of this paper concerns a simulation-based decision support system to simultaneously solve a supply network configuration problem and an operations scheduling problem for the machine tool industry. Moreover, by evaluating different operations management indicators, a case study based on a company that assembles highly customized machines and tools in several European plants is considered. The fifth contribution…
The EURO Working Group on Decision Support Systems (EWG-DSS), jointly with the DASIG Decision Ana... more The EURO Working Group on Decision Support Systems (EWG-DSS), jointly with the DASIG Decision Analysis Special Interest Group from the British OR Society and CNRS-LAMSADE, in cooperation with Paris Dauphine University, had the pleasure to co-organize the EWG-DSS / DASIG Paris-2011 Joint-Workshop on Policy Analytics and on Collaborative Decision Making on the period of November 30th to December 1st, 2011, at the University Paris-Dauphine. Following the success of the “EWG-DSS London-2011 Workshop″ in June 2011, the main purpose of this Joint-Workshop is to provide an informal setting in which the participants, from both EWG-DSS and DASIG groups, can have the opportunity to meet and discuss technical, methodological and social aspects involved in the development of Decision Systems. The Workshop comprises of two Streams. The “Stream on Collaborative Decision Making on the 30th of November, 2011” organized by the EWG-DSS and the “Stream on Policy Analytics on the 1st of December, 2011”...
International Journal of Production Research, 2012
The research described in this paper demonstrates how individual operational capabilities and the... more The research described in this paper demonstrates how individual operational capabilities and the collective knowledge and expertise of a collaborative customer–supplier network can be harnessed to manage the challenges associated with the provision of a requisite level of product variety and customisation. It concerns the discussion and application of a previously published approach to the classification of collaborative networks, the justification of the extension to this approach and the use of the approach as a knowledge-based reference framework to demonstrate how product variety and customisation can be supported across different forms of collaborative customer–supplier networks. In addition, explanations are provided on how collaborative networks can be classified, on how their adaptive capabilities can be established, and on the characteristics and attributes that particular types of network require in order to handle their commitment to the provision of variety and customisation.
Computers in Industry, Jan 1, 2008
Journal of Manufacturing …, Jan 1, 2008
Home > Journal of Manufacturing Technology Management &amp... more Home > Journal of Manufacturing Technology Management > Volume 19 issue 4 > Collaborative forecasting in networked manufacturing enterprises... ... Icon: Abstract. Icon: Backfiles. Icon: Print. Icon: Reprints & permissions. ... Purpose This paper seeks to propose an overall ...
Journal of Industrial …, Jan 1, 2008
11th International conference …, Jan 1, 2009
Proceeding of the 2010 …, Jan 1, 2010
Group Decision and …, Jan 1, 2010
Abstract Decision system technologies have long since been a strong support to model and solve pl... more Abstract Decision system technologies have long since been a strong support to model and solve planning complexities in the supply chain in a collaborative context. Moreover, one of the main topics to emerge is reverse logistics, which is becoming more relevant in supply chains in ...
Innovar, Jan 1, 2009
Multi-agent system technologies are currently becoming a strong modelling tool for supporting the... more Multi-agent system technologies are currently becoming a strong modelling tool for supporting the complexities present in planning supply chains. As supply chains are composed by nodes needing common agreement to fulfil their own requirements, the multi-agent system thus ...
Innovar, Jan 1, 2009
Multi-agent system technologies are currently becoming a strong modelling tool for supporting the... more Multi-agent system technologies are currently becoming a strong modelling tool for supporting the complexities present in planning supply chains. As supply chains are composed by nodes needing common agreement to fulfil their own requirements, the multi-agent system thus ...
… Automation Systems for …, Jan 1, 2010
… Interoperability IV: Making the Internet of …, Jan 1, 2010
Supply chain management, since many years, has been realated to coordinate the efforts among the ... more Supply chain management, since many years, has been realated to coordinate the efforts among the supply chain nodes in order to mitigate unpredictable behaviours related to environment uncertainty. This allows to the involded nodes to achieve common goals in a efectivelly maner likewise the customers demand. Thus, by sharing accurate and actionable information, on a timely basis, the collaboration among the nodes will emerge in order to improve the decision-making process related, mainly, to the planning processes in the supply chain. Hence, from a decentralized perspective, each supply chain node will consider their own enterprise systems in order to manage and exchange the right information among them. Thereafter, aspects such us the interoperabilty of the systems are a very crytical issue to be considered, even in the modelling process and also in the implementation stage. Then, this paper, supported by the Zachman framework and by the REA standar ontology, proposes an novel interoperable enterprise architecture to support the decentralized collaborative planning and the decision-making processes in the supply chains. In addition, the proposed architecture consider a multi-agent based system approach as well as its application to a real automobile supply chain network.
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Papers by Jorge E. Hernández