EURO Journal on Decision Processes最新文献

Projecting decisions. Unfolding architectural design practice in decision-making processes 预测决策。在决策过程中展开建筑设计实践

IF 2.1

EURO Journal on Decision Processes Pub Date : 2026-01-01 Epub Date: 2026-01-06 DOI: 10.1016/j.ejdp.2026.100068

Elena Todella

{"title":"Projecting decisions. Unfolding architectural design practice in decision-making processes","authors":"Elena Todella","doi":"10.1016/j.ejdp.2026.100068","DOIUrl":"10.1016/j.ejdp.2026.100068","url":null,"abstract":"<div><div>This study explores the role of specific design documents – as visual artefacts – in shaping decision-making processes, highlighting how they can, at key moments, overcome conflicts by negotiating different perspectives. Architectural design research has undergone significant paradigm shifts, primarily through traditional sociological and anthropological approaches to professional practices in engineering and architecture. While scholars have examined how practitioners operate and how practices unfold, they have yet to connect the specific performativity of each artefact within these processes to its effects. Focusing on practices, the research follows different strands of research. First, it draws on Actor-Network Theory (ANT) and recent ethnographies of architecture. Second, it links such perspective to Problem Structuring Methods (PSMs), focusing on interactions through artefacts. Finally, it contributes to a current debate in organization studies on the role of artefacts as boundary objects. Accordingly, the paper explores the role of architectural design practices in bringing forward effects in the decision-making process of a masterplan for developing an urban university campus. This paper makes a threefold contribution. First, in theoretical terms, tracing the performativity of architectural design practices. Second, in methodological terms, proposing a mapping methodology to trace such practices. Finally, it provides an interactive visualization tool.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"14 ","pages":"Article 100068"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preferential knowledge for multi-criteria decision making: Stability and consistency of decision rules and weights 多准则决策的优先知识：决策规则和权重的稳定性和一致性

IF 2.1

EURO Journal on Decision Processes Pub Date : 2026-01-01 Epub Date: 2025-12-18 DOI: 10.1016/j.ejdp.2025.100067

Marko Bohanec , Nikola Kadoić , Nina Begičević Ređep

{"title":"Preferential knowledge for multi-criteria decision making: Stability and consistency of decision rules and weights","authors":"Marko Bohanec , Nikola Kadoić , Nina Begičević Ređep","doi":"10.1016/j.ejdp.2025.100067","DOIUrl":"10.1016/j.ejdp.2025.100067","url":null,"abstract":"<div><div>This research investigates the variability of decision-making preferences, represented in terms of decision rules and criteria weights, in the context of the qualitative multi-criteria method DEX (Decision EXpert). We study the differences between decision rules acquired from different subjects (inter-personal differences) and from the same subjects at different times (intra-personal differences). We also assess the consistency of so-acquired rules and the ability of subjects to estimate the importance (weights) of criteria. The methodological approach consisted of two surveys among students, carried out about one and a half month apart. Four thematic areas were addressed in the questionnaires: selection of study programs, student success, car purchase decisions, and choices regarding everyday shopping venues. In both survey periods, participants were required to assess the importance of these criteria and to define decision rules according to the DEX method. The findings provide insights into the stability of decision-making processes among participants and in time. The results indicate a high variability of decision rules, both inter- and intra-personal. Intra-personal drift is lower than inter-personal differences, but not by much (three-quarters of the latter). The consistency of rules varied between small decision tables with clearly ordered criteria, where it was almost perfect, and large decision tables with less apparent preferential relations. Defining fully consistent decision tables turned out to be hard, indicating the need for automated consistency-checking tools. Criteria weights also drifted in time at the rate about 9% (user-provided weights) and 10–27% (weights assessed algorithmically from decision rules). The main contributions of this study are identified and quantified magnitudes of decision rules variability and consistency.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"14 ","pages":"Article 100067"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of two commodity stochastic inventory system with batch demands 具有批量需求的两种商品随机库存系统的优化

IF 2.1

EURO Journal on Decision Processes Pub Date : 2026-01-01 Epub Date: 2026-05-05 DOI: 10.1016/j.ejdp.2026.100071

Sherif I. Ammar , V. Anzen Koffer , K. Jeganathan , Faizah T. Alamri , Faiza A. Althubyani

{"title":"Optimization of two commodity stochastic inventory system with batch demands","authors":"Sherif I. Ammar , V. Anzen Koffer , K. Jeganathan , Faizah T. Alamri , Faiza A. Althubyani","doi":"10.1016/j.ejdp.2026.100071","DOIUrl":"10.1016/j.ejdp.2026.100071","url":null,"abstract":"<div><div>This study presents a novel two commodity stochastic retrial inventory model tailored to handle batch demands while incorporating an innovative incentive mechanism to manage customer behavior and demand fluctuations. The model considers two distinct customer classes, each primarily interested in one of two commodities, with demand occurring in batches. A conditional complementary item policy is introduced to encourage larger purchases and foster cross-selling opportunities reflecting real-world marketing strategies. The inventory system is formulated as a level-dependent quasi-birth-and-death process. An <span><math><mrow><mo>(</mo><mi>s</mi><mo>,</mo><mspace></mspace><msub><mrow><mi>S</mi></mrow><mrow><mn>1</mn></mrow></msub><mo>)</mo></mrow></math></span> inventory replenishment policy is applied to the primary commodity, while the secondary commodity is assumed to be replenished instantaneously. To analyze the system’s steady-state behavior, the Neuts and Rao matrix truncation method is applied, enabling the derivation of stability conditions and performance measures. Comprehensive numerical analysis is performed to optimize total cost and investigate the sensitivity of critical factors, such as expected total cost, customer waiting time, and successful retrial rate. Additionally, a detailed simulation study is conducted to validate the analytical findings, demonstrating the model’s effectiveness in real-world scenarios by capturing stochastic variations and system dynamics that may not be fully addressed through analytical methods alone. The simulation results provide further insights into the model’s robustness and practical applicability. This research advances the field of multi-commodity inventory systems, offering a valuable framework for optimizing inventory strategies in complex, interconnected market environments.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"14 ","pages":"Article 100071"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148000831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Αn empirical study to measure the use and impact of an imprecise information approach in the decision support system Entscheidungsnavi Αn衡量决策支持系统中不精确信息方法的使用和影响的实证研究

IF 3

EURO Journal on Decision Processes Pub Date : 2026-01-01 Epub Date: 2026-06-24 DOI: 10.1016/j.ejdp.2026.100072

Mendy Tönsfeuerborn, Rüdiger von Nitzsch

{"title":"Αn empirical study to measure the use and impact of an imprecise information approach in the decision support system Entscheidungsnavi","authors":"Mendy Tönsfeuerborn, Rüdiger von Nitzsch","doi":"10.1016/j.ejdp.2026.100072","DOIUrl":"10.1016/j.ejdp.2026.100072","url":null,"abstract":"<div><div>In a rational multi-criteria decision-making (MCDM) process based on multi-attribute utility theory (MAUT), the decision-maker defines quantitative parameters to identify the most promising alternative. However, it is often difficult to determine these parameters precisely. Therefore, the literature suggests using imprecise information, which allows the decision-maker to determine imprecise preference statements and parameters. This paper investigates the utilization and impact of an imprecise information approach regarding probabilities, utility functions, and objective weights in the decision support system <span>Entscheidungsnavi</span>. We examined 1511 personal student decisions. First, we analyzed how often imprecise information was utilized. Second, we surveyed how helpful participants found the use of imprecise information. Third, we investigated the impact of imprecise information in the three aforementioned categories on the final ranking of alternatives. We assessed how robust the rank of the best alternative remained by using Monte Carlo simulations in which evenly distributed values were drawn from all imprecisely defined intervals. This demonstrates the robustness of our results across varying levels of input uncertainty. Most participants chose imprecise parameters in their decisions. Moreover, most participants found it helpful to use imprecise information in all categories, with imprecise objective weights being the least helpful. In about 83% of the decisions, the best-ranked alternative is robust against the imprecise intervals the decision-maker chooses. Overall, our results show that incorporating imprecision improves the practical usefulness of MCDM-Support-Systems. We recommend that a robust MAUT-based system should address all three types of imprecision, guide probability and utility elicitation, support realistic trade-offs, and visualize how input uncertainty affects ranking stability helping decision-makers form sound judgements.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"14 ","pages":"Article 100072"},"PeriodicalIF":3.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148523480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-world relevance of multicriteria decision analysis applied to environmental problems: A critical review of operational research literature 应用于环境问题的多标准决策分析的现实世界相关性：运筹学文献的批判性回顾

IF 2.1

EURO Journal on Decision Processes Pub Date : 2026-01-01 Epub Date: 2026-01-19 DOI: 10.1016/j.ejdp.2026.100069

Judit Lienert

{"title":"Real-world relevance of multicriteria decision analysis applied to environmental problems: A critical review of operational research literature","authors":"Judit Lienert","doi":"10.1016/j.ejdp.2026.100069","DOIUrl":"10.1016/j.ejdp.2026.100069","url":null,"abstract":"<div><div>This critical review analyzed 118 articles applying multicriteria decision analysis (MCDA) to environmental problems that were published in operational research (OR) journals. Main aim was to evaluate whether OR research is adequately treating real-world decision processes. Research questions emerged from analyzing 34 review articles covering mainly environmental literature. In contrast to this applied literature, results indicate that the field of OR is strong in uncertainty treatment. However, advanced modelling and analysis of temporal or spatial aspects was rare. Documentation of MCDA processes was often sketchy. Stakeholder engagement throughout decision-making processes was low. Main steps of MCDA were neglected, ranging from problem structuring, over preference elicitation, to discussing results with stakeholders. Future OR research could contribute substantially to solving todays’ pressing environmental problems by (i) improving applications to real-world decision processes; (ii) developing methods of stakeholder engagement and integrating soft-OR methods; (iii) applying behavioral OR for analyzing decision processes; (iv) supporting real-world implementation after MCDA; and (v) linking efforts across disciplines for proper documentation of practice interventions.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"14 ","pages":"Article 100069"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147396278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A stage-gate decision process for guiding the development of AI solutions for preventive maintenance 用于指导预防性维护的人工智能解决方案开发的阶段-门决策过程

IF 2.1

EURO Journal on Decision Processes Pub Date : 2026-01-01 Epub Date: 2025-12-08 DOI: 10.1016/j.ejdp.2025.100063

Jussi Leppinen , Ahti Salo , Michele Compare

{"title":"A stage-gate decision process for guiding the development of AI solutions for preventive maintenance","authors":"Jussi Leppinen , Ahti Salo , Michele Compare","doi":"10.1016/j.ejdp.2025.100063","DOIUrl":"10.1016/j.ejdp.2025.100063","url":null,"abstract":"<div><div>The development of Artificial Intelligence (AI) solutions for preventive maintenance applications is a risky and resource-demanding process. Typically, there are several candidate solutions whose performance in transforming data into useful prognostic information is initially uncertain. These uncertainties can be managed by structuring the development process into multiple stages that help choose and implement the final solution. In this paper, we propose such a stage-gate process by using Robust Portfolio Modelling to screen increasingly detailed candidate solutions through four development stages and three decision gates. The development stages generate evidence on how the candidate solutions contribute to six development objectives that represent different financial and technical criteria. At the decision gates, decisions about the continuation/termination of candidate solutions are taken by identifying portfolios of non-dominated candidate solutions subject to time and budget constraints. Uncertainties are captured by admitting incomplete information about the criteria weights and scores of candidate solutions. We illustrate the process by considering the development of an AI solution for a train’s toilet door system. The process brings consistency to the development process and, among other benefits, helps mitigate the risk of missing the development objectives due to premature fixation on a single candidate solution.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"14 ","pages":"Article 100063"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145711734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electric vehicle purchase decision: A hybrid multi-criteria decision-making method 电动汽车购买决策：一种混合多准则决策方法

IF 2.1

EURO Journal on Decision Processes Pub Date : 2026-01-01 Epub Date: 2026-03-13 DOI: 10.1016/j.ejdp.2026.100070

Nitidetch Koohathongsumrit, Wasana Chankham

{"title":"Electric vehicle purchase decision: A hybrid multi-criteria decision-making method","authors":"Nitidetch Koohathongsumrit, Wasana Chankham","doi":"10.1016/j.ejdp.2026.100070","DOIUrl":"10.1016/j.ejdp.2026.100070","url":null,"abstract":"<div><div>This study proposes a hybrid multi-criteria decision-making method for purchasing electric vehicles, by combining the analytic hierarchy process (AHP) with the evaluation based on distance from the average solution (EDAS). AHP assigns criteria weights and derives the scores for qualitative criteria, while the technical specifications of the electric vehicles are considered as the decision data for quantitative criteria. EDAS is employed to rank the electric vehicles and determine the best option, based on the appraisal scores that indicate the overall performance of each vehicle, relative to that of the average solution. The proposed method is implemented for making electric-vehicle purchase decisions, in Thailand, based on real-world data and decision-makers’ perspectives. The findings reveal that the proposed method can make effective electric-vehicle purchase decisions. It straightforwardly elicits the decision-makers’ needs through criteria weights; the decision-makers place high emphasis on the <em>comfort</em> criterion, with a weight of 0.176. Furthermore, the proposed method successfully ranks all electric vehicles and appropriately identifies the best electric vehicle, with an appraisal score of 0.749, which demonstrates superior overall performance across all decision-making attributes. The theoretical novelty of this study lies in the ability of the proposed method to reflect the decision-makers’ judgments, analyze both quantitative and qualitative criteria, and systematically derive the best decision. This study offers practical benefits to consumers, manufacturers, and government agencies, by supporting electric-vehicle purchase decisions, guiding the development of new electric-vehicle models, and informing policy formulations to promote electric-vehicle adoption.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"14 ","pages":"Article 100070"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147656549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Portfolio Selection Model for Planning Natural Gas Smart Energy Hubs with a Multicriteria Benefit-to-Cost Ratio-Based Approach 基于多标准效益成本比方法的天然气智能能源枢纽投资组合选择模型

IF 2.3

EURO Journal on Decision Processes Pub Date : 2025-01-01 Epub Date: 2025-07-09 DOI: 10.1016/j.ejdp.2025.100060

Eduarda Asfora Frej , Carolina Lino Martins , Lucas Borges Leal da Silva , João Batista Sarmento dos Santos Neto , Adiel Teixeira de Almeida

{"title":"A Portfolio Selection Model for Planning Natural Gas Smart Energy Hubs with a Multicriteria Benefit-to-Cost Ratio-Based Approach","authors":"Eduarda Asfora Frej , Carolina Lino Martins , Lucas Borges Leal da Silva , João Batista Sarmento dos Santos Neto , Adiel Teixeira de Almeida","doi":"10.1016/j.ejdp.2025.100060","DOIUrl":"10.1016/j.ejdp.2025.100060","url":null,"abstract":"<div><div>In the context of advancing energy infrastructure, the planning and development of natural gas smart energy hubs have gained importance as essential components of sustainable energy systems. Thus, this paper introduces a portfolio selection model designed to improve the planning process for natural gas smart energy hubs. The proposed model integrates a multicriteria benefit-to-cost ratio-based (BCR) heuristic approach with surrogate weights and swing elicitation procedure, providing a robust framework for decision-makers to assess and prioritize investment options. The methodology encompasses a diverse set of criteria, including economic, environmental, and social factors, ensuring a holistic evaluation of candidate projects. A Decision Support System (DSS) called ROCSPort was proposed to operationalize and validate the proposed methodology, with a view to providing a streamlined preference modeling process for the decision-maker. The DSS also performs a sensitivity analysis based on a Monte-Carlo simulation approach, and statistical tests can be performed to verify the stability of the results. The model’s applicability is demonstrated through a numerical application in a Brazilian energy company, illustrating its capacity to improve the selection of projects based on predefined objectives and constraints. The findings contribute to the energy planning context by offering a systematic and adaptable approach and tool for portfolio selection, aiding decision-makers involved in determining a sustainable energy infrastructure.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100060"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal supply chain design using machine learning, risk assessment and optimisation applied to coal distribution 将机器学习、风险评估和优化应用于煤炭配送的最优供应链设计

IF 2.1

EURO Journal on Decision Processes Pub Date : 2025-01-01 Epub Date: 2025-07-26 DOI: 10.1016/j.ejdp.2025.100062

Spyros Giannelos, Ioannis Konstantelos, Goran Strbac

{"title":"Optimal supply chain design using machine learning, risk assessment and optimisation applied to coal distribution","authors":"Spyros Giannelos, Ioannis Konstantelos, Goran Strbac","doi":"10.1016/j.ejdp.2025.100062","DOIUrl":"10.1016/j.ejdp.2025.100062","url":null,"abstract":"<div><div>This paper presents a novel integration of machine learning and optimization techniques for robust supply chain network design under uncertainty, demonstrated through a regional coal distribution system (150 suppliers, 500 consumers, 7.5 million tonnes annually). Unlike traditional approaches that focus solely on cost minimization, our progressive methodology uniquely combines k-means clustering with mixed-integer programming to identify configurations that are both cost-effective and resilient to demand variability. Starting from a baseline single-warehouse configuration costing $404.6 million annually, our approach systematically evaluates multi-facility alternatives through Monte Carlo simulation (50,000 iterations), revealing remarkable system stability—only 0.96 % cost variation despite 25 % individual volume uncertainty. The k-means analysis identifies optimal clustering patterns, while subsequent mixed-integer programming confirms that a five-warehouse configuration reduces annual transportation costs by 45.8 % ($185.3 million savings) while maintaining 90–100 % capacity utilization. This configuration demonstrates a Net Present Value of $3.02 billion over 50 years, significantly outperforming traditional single-facility designs. Critically, correlation analysis reveals that shipment volumes (ρ=0.739) drive costs more than distances (ρ=0.556), challenging conventional distance-minimization paradigms. The integrated framework is computationally efficient (4.2 s to optimality), scalable to larger networks, and applicable to various bulk commodity distribution challenges, offering supply chain managers a robust tool for strategic network design under uncertainty.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100062"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A structured group decision support approach within SMEs under industry 5.0: An application on delivery policy selection 工业5.0下中小企业的结构化群体决策支持方法：交付政策选择的应用

IF 2.1

EURO Journal on Decision Processes Pub Date : 2025-01-01 Epub Date: 2025-11-29 DOI: 10.1016/j.ejdp.2025.100064

Jérémy Traversac , François Galasso , Caroline Thierry , Pascale Zarate

{"title":"A structured group decision support approach within SMEs under industry 5.0: An application on delivery policy selection","authors":"Jérémy Traversac , François Galasso , Caroline Thierry , Pascale Zarate","doi":"10.1016/j.ejdp.2025.100064","DOIUrl":"10.1016/j.ejdp.2025.100064","url":null,"abstract":"<div><div>Small and Medium-sized Enterprises (SMEs) have traditionally relied on top-down planning approaches such as Manufacturing Resource Planning II (MRP II), which are increasingly inadequate in addressing the dynamic and uncertain environments shaped by Industry 4.0 and 5.0. These paradigms require organizations to continuously adapt by integrating heterogeneous data, fostering collaboration, and placing humans at the centre of decision-making processes. However, current research on supporting decision-making in SMEs within these contexts remains limited. This paper proposes a structured Group Decision Support System (GDSS) tailored to SMEs, combining a Multi-Criteria Decision-Making (MCDM) approach with a simulation-based planning model. The approach enables actors from different hierarchical levels (strategic, tactical, and operational) to express preferences, compute Key Performance Indicators (KPIs), and collaboratively evaluate alternatives. The approach emphasizes transparency and coherence in decision-making while addressing individual and collective priorities. A didactic case study involving the selection of delivery policies illustrates the applicability and benefits of the proposed approach, allowing users to explore trade-offs, simulate scenarios, and converge towards a shared strategic decision.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100064"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0