Ανάπτυξη ενός συστήματος ευφυών πρακτόρων διαχείρισης επιχειρησιακών διαδικασιών για την λήψη στρατηγικών αποφάσεων μέρκετινγκ

Workflow Management Systems (WFMS) are systems that define, create and manage the execution of workflows through the use of software, interactions with workflow participants and, where required, invocations of information technology tools and applications [1]. They are typically used in organizations to provide administrative and supervisory functions. On the other hand, software agents come along with a plentiful terminology including agent architectures, multi-agent system architectures, agent frameworks, and agent infrastructures [2]. This thesis focuses on examining the integration of these two fields, revealing the stimulation and the advantages of such a mixing. In particular, thesis’ overall goal is to clear the vague picture of the consolidation of workflow management systems and software agents and to provide a unifying framework for this intersected area. In order to better demonstrate the results of elaborating on the unifying framework, marketing was selected as the application domain. Marketing processes intrinsically fit the workflow management concept because they are far more flexible and versatile than production processes. In marketing domain [3], it is common for the process flows not to be rigidly defined, heterogeneous resources to be involved, and high customization per customer to be required. However, the regular activities required to carry out a marketing process (e.g., writing a report, extracting data from databases, organizing campaigns, schedule meetings, etc.) have good potentials to be monitored by information systems. To such a context, automation prospects are significant and the application of workflow logic has noteworthy contribution potentials. Although the focus is on the marketing field, thesis’ contributions are domain-abstract, i.e., they can be applied in general to any business domain that requires the implementation of workflow logic. […

Un systéme de gestion de workflow basé sur des agents pour l'aide à la décision dans le marketing

PARIS-DAUPHINE-BU (751162101) / SudocSudocFranceGreeceFRG

Applying the Method of Reflections through an Event Log for Evidence-based Process Innovation

Flexibility and adaptability have been praised and empirically validated as critical for an organization's performance. They are associated with the number of different behaviors that the organization exhibits, as well as with their level of sophistication, which in turn implies the number and the quality of the available knowledge and capabilities in place. In this work, we propose the creation of a bipartite network, involving organizations and behaviors, through an event log, to capture the prospects of both organizations and behaviors for process innovation. By using the Method of Reflections, we claim that the structure of that network can expose a set of sophistication metrics, that eventually suggest i) the potential of behaviors for better organizational performance; ii) the most reachable innovation paths; iii) an "order of significance" over the behaviors considering their improvement contribution power. We show the practical potential of our approach through a Proof of Concept based on a real dataset

agent

multiple criteria paradigm as a background fo

Using multi-target feature evaluation to discover factors that affect business process behavior

Certain business environments, like health-care or customer service, host complex and highly variable business processes. In such situations, we expect fluctuating process behavior, which is difficult to attribute to specific causes, at least automatically. This work aims to provide process analysts with an additional tool to discover factors that affect the process flow. To this end, we propose a three-stage methodology to deal with the several challenges of this goal.Adhering to the process mining paradigm that suggests for evidence-based process analysis and improvement, we introduce a horizontal partitioning approach to identify elements of process behavior during the first stage. Then, during the second stage, we discuss how log manipulations can yield characteristics that reflect various perspectives of the process. Finally, we propose a multi-target feature evaluation step to deliver insights about the associations between characteristics and process behavior.The proposed methodology is designed to tackle challenges related to the general correlation problem of process mining, like dealing with general process behavior (not just local decisions) and relaxing the independence assumption among the elements of behavior. We demonstrate our approach step by step through a case study on a real-world, open dataset

Preface

This book constitutes the proceedings of the 7th International Conference on Decision Support Systems Technologies, ICDSST 2021, held during May 26-28, 2021. The conference was planned to take place in Loughborough, UK, and changed to an online format due to the COVID-19 pandemic.The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery.The 10 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in two topical sections named: multiple criteria approaches and advances in decision support systems’ technologies and methods.</div

A genetic approach for strategic resource allocation planning

Strategic planning, Performance measurement, Agent-based computational economics, Genetic algorithms,

Simulating multi-agent system sesigns using business process modeling

Summarization: This paper shows how an engineer can use Gaia formulas for modeling the dynamic behavior of an agent role and then transform the formulas to a process model compliant to the modern Business Process Modeling Notation (BPMN). The Agent Systems Engineering Methodology (ASEME) employs this text to model (T2M) transformation for being able to simulate the system models even after just the analysis phase. A number of tools allow for simulating process models, even optimizing them. Thus, a number of the system’s (non-functional) requirements can be evaluated before even entering the design phase. This helps an engineer to build a better system capturing its requirements but also a project manager to select the appropriate resources for his project’s development based on the performance of the technologies proposed in an analysis phase iteration. Our work is demonstrated and evaluated through a real world case study.Παρουσιάστηκε στο: Proceedings of the 8th European Workshop on Multi-Agent System

AgentAllocator: An agent-based multi-criteria decision support system for task allocation

Summarization: The multi-agent systems in Artificial Intelligence very often include task allocation problems. These problems are arduous to be modelled; therefore it is also difficult to end up with an optimal allocation plan. AgentAllocator is an easy to use, platform independent application, which implements a multi-criteria method to support the decision of Task Allocation. The decision maker is able to model the problem (according to his policy) through its inputs dialogs and employ the final solution proposed by the system. In this paper, both the theoretical background of AgentAllocator and the DSS itself are presented.Παρουσιάστηκε στο: First International Conference on Industrial Applications of Holonic and Multi-Agent System