{"title":"Improving consistency classification: An innovative benchmark-based approach for the AHP","authors":"Amarnath Bose","doi":"10.1002/mcda.1821","DOIUrl":"10.1002/mcda.1821","url":null,"abstract":"<p>The analytic hierarchy process (AHP) is a cornerstone of multi-criteria decision analysis, enabling well-informed choices across diverse contexts. This paper introduces an original benchmark-based framework designed to enhance the precision of consistency classification for pairwise comparison matrices (PCMs) within the AHP methodology. This innovative approach quantifies the discrepancy between a given PCM and its benchmark matrix, comprising comparison ratios that faithfully reflect the relative preferences encapsulated within principal eigenvector values, thereby capturing the true degree of coherence. To ensure benchmark alignment with human perception, elements of the benchmark PCM are further rounded to the nearest values on the Fundamental Scale. The potency of our framework derives from two pivotal factors: the inherent Priority Preference Range within the principal eigenvector and the order of the PCM. Statistical thresholds for consistency are established using a technique based on simulated, logical PCMs, proposed by Bose [2022]. This rigorous method ensures an unbiased, objective and pragmatic evaluation of consistency, eliminating the subjectivity inherent in arbitrary thresholds based on random PCMs. Our approach rectifies the inconsistencies in the conventional CR method that yields false positives for PCMs of orders 3 and 4, and false negatives for higher orders. By harnessing customized benchmarks and eschewing random matrices, our framework systematically confronts the inherent consistency challenges within AHP, thus enhancing its decision-making capability. The practical utility of our approach is aptly demonstrated through AHPtools, an R-based library package designed to showcase our novel consistency evaluation method. The demonstration of the package in Appendix B will facilitate readers to easily apply our methodology to real-world PCM classification scenarios within the AHP. In conclusion, our benchmark-based framework heralds a transformative era in consistency classification within the AHP, empowering real-world multi-criteria decision-making with unprecedented precision and reliability, and ushering in a new paradigm of informed and astute outcomes.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44040984","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}
{"title":"Identifying blocking behaviors in small-scale group decision-making and their impact on consensus outcomes: A case study on forest management","authors":"Manon Enjolras, Maxence Arnould, Mauricio Camargo","doi":"10.1002/mcda.1819","DOIUrl":"10.1002/mcda.1819","url":null,"abstract":"<p>Group decision-making (GDM) problems usually include stakeholders with different views and opinions. In order to find a collective solution, it is necessary to achieve a consensus reaching process (CRP) that may lead to the emergence of non-cooperative behaviors within the group. This article proposes to study how these non-cooperative behaviors appear in a group of decision-makers and what their level of impact is on the evolution of consensus and on the final decision. To provide some answers to this research problem, we propose a multi-criteria decision-making (MCDM) methodology implementing analytic hierarchy process (AHP) in order to provide a visualization of the CRP evolution and observe four non-cooperative behaviors within small-scale GDM: (1) collective agreement, (2) blocking behavior, (3) leadership demonstration, and (4) experts' coalition. We implement our methodology within a pedagogical framework, in 29 small-scale groups of masters and engineering students, through a case study related to the implementation of forest management scenarios in France. Our results show the evolution of the four non-cooperative behaviors within the groups, as well as their impact on the CRP outcomes.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 5-6","pages":"219-237"},"PeriodicalIF":2.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47429618","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}
{"title":"The validity study of a channel-based demand estimation ANP model","authors":"Yasamin Salmani, Fariborz Y. Partovi","doi":"10.1002/mcda.1817","DOIUrl":"10.1002/mcda.1817","url":null,"abstract":"<p>This paper suggests a solution for validating an ANP model in multi-channel retailing proposed by Salmani et al. (2018) through its application in the pet consumables industry. The purpose of the proposed ANP model is to develop a measurement for estimating the demand proportion attributed to each established sales channel. Utilizing an ANP model, channel selection customer criteria as well as the interrelations between channel structures in a multi-channel setting are quantified. This paper applies a survey-based study to collect data from random pet consumable customers. Using a compatibility measurement, per-channel proportions of demand found by ANP are compared with actual data to examine the validity of the proposed model. The results of this study demonstrated the validity of the proposed ANP model applied in the pet consumables industry.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 5-6","pages":"190-202"},"PeriodicalIF":2.0,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41795981","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}
{"title":"Assessing the sustainable development: A review of multi-criteria decision analysis for urban and architectural sustainability","authors":"Beatrice Mecca","doi":"10.1002/mcda.1818","DOIUrl":"10.1002/mcda.1818","url":null,"abstract":"<p>Sustainable development of cities constitutes nowadays a worldwide goal. Therefore, the related urban and architectural choices must fulfil sustainable objectives. In this context, sustainability assessment presents itself as a key and fundamental element to guide decision-making processes, orienting choices towards actions that make the built environment more sustainable. Among the several existing assessment tools and methods, multi-criteria decision analysis (MCDA) are part of the most widely used approaches to support sustainable decisions. Therefore, this article aims to understand what makes sustainability assessment through MCDA suitable or unsuitable to support decision-making processes in the context of sustainable urban and architectural design and observe how available MCDA methods support this purpose. To do this, a literature review related to MCDA methods in sustainable urban and architectural context has been performed. Descriptive statistics and tables are provided to point out the main trends according to specific research questions. In this sense, it is intended to highlight some potential gaps and points of reflection for future research developments that can support sustainable urban and architectural development.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 5-6","pages":"203-218"},"PeriodicalIF":2.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44421242","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}
Muhammad Shujaat Mubarik, Sharfuddin Ahmed Khan, Adolf Acquaye, Mobashar Mubarik
{"title":"Supply chain mapping for improving “visilience”: A hybrid multi-criteria decision making based methodology","authors":"Muhammad Shujaat Mubarik, Sharfuddin Ahmed Khan, Adolf Acquaye, Mobashar Mubarik","doi":"10.1002/mcda.1807","DOIUrl":"10.1002/mcda.1807","url":null,"abstract":"<p>Supply chain mapping is gaining heightened attention due to its vital role in improving supply chain visibility and resilience. Despite its crucial role in uplifting supply chain resilience, the critical elements of supply chain mapping are yet to be determined. The study adopts a twofold approach to identify and prioritize the dimensions and sub-dimensions of supply chain (SC) mapping. At the first stage, through an extensive review of literature, 43 sub-dimensions of SC mapping were identified. In the second stage, Gray - DEMATEL-based Analytic Network Process (GDANP) was employed by taking the input from 25 experts selected from Oil and Gas industry of an emerging market. The findings reveal three major dimensions of SC mapping followed by 15 sub-dimensions. Among the dimensions, upstream mapping contains the highest priority weights, followed by midstream and downstream mapping. The findings suggest a step-wise strategy to adopt SC mapping where upstream mapping should be given the first priority. The major contribution of this study is to develop a framework for measuring the extent of SC mapping of a firm using GDANP.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 5-6","pages":"173-189"},"PeriodicalIF":2.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43853780","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}
{"title":"Ratio product model: A rank-preserving normalization-agnostic multi-criteria decision-making method","authors":"Majid Mohammadi, Jafar Rezaei","doi":"10.1002/mcda.1806","DOIUrl":"10.1002/mcda.1806","url":null,"abstract":"<p>This paper presents a new multi-criteria decision-making (MCDM) method, namely the ratio product model (RPM). We first overview two popular aggregating models: the weighted sum model (WSM) and the weighted product model (WPM). Then, we argue that the two models suffer from some fundamental issues mainly due to ignoring the ratio nature of the alternatives' scores with respect to the criteria and the importance weights of the criteria. Building on the notion of compositional data analysis, the developed RPM regards performance scores and criteria weights as compositions, which solves the issues around the WSM and WPM. Using several examples, we show that the WSM and WPM could lead to erroneous conclusions, whereas the RPM could lead to fully reliable conclusions. Since many MCDM methods rely on some aggregation approaches, the proposed method is a significant contribution to the field and puts forward the correct way to analyze decision problems while respecting the nature and constraints of the input data.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 5-6","pages":"163-172"},"PeriodicalIF":2.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45685372","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}
{"title":"Promethee γ: A new Promethee based method for partial ranking based on valued coalitions of monocriterion net flow scores","authors":"Gilles Dejaegere, Yves De Smet","doi":"10.1002/mcda.1805","DOIUrl":"10.1002/mcda.1805","url":null,"abstract":"<p>Multicriteria decision aid consists of helping decision makers to compare (rank, choose, sort, etc.) different alternatives which are evaluated on conflicting criteria. In the last decades, numerous decision aid methods have been developed. Three main categories of decision aid methods are usually considered: the aggregating, interactive and outranking methods. While aggregation methods produce a complete ranking of the set of alternatives, outranking methods usually allow some pairs of alternatives to remain incomparable. This happens either if the two alternatives present some strong conflicting information or if there are not enough elements in the decision problem to state the preference or indifference between them. A well-known family of outranking procedures are the <span>Promethee</span> methods. The aim of this work is first to provide an analysis of the incomparability relation produced by <span>Promethee I</span>. From our point of view, some shortcomings of this incomparability relation are presented. Then, a new method based on the comparison of weighted coalitions of mono-criterion net flow score differences, called <span>Promethee</span> <math>\u0000 <mrow>\u0000 <mi>γ</mi>\u0000 </mrow></math>, is proposed. <span>Promethee</span> <math>\u0000 <mrow>\u0000 <mi>γ</mi>\u0000 </mrow></math> and <span>Promethee i</span> are then further compared.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 3-4","pages":"147-160"},"PeriodicalIF":2.0,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44318639","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}
He Huang, Rocsildes Canoy, Nicolas Brusselaers, Geert te Boveldt
{"title":"Criteria preprocessing in multi-actor multi-criteria analysis","authors":"He Huang, Rocsildes Canoy, Nicolas Brusselaers, Geert te Boveldt","doi":"10.1002/mcda.1804","DOIUrl":"10.1002/mcda.1804","url":null,"abstract":"<p>Multi-actor multi-criteria analysis is a group decision-making framework that allows multiple stakeholder groups to be involved in the decision-making process, facilitating the understanding of the points of consensus and conflict among the stakeholder groups. Carefully selecting suitable criteria is important as they illustrate the possibly divergent priorities of the respective stakeholder group, and overlooking important criteria can lead to erroneous outcomes. Furthermore, the number of criteria needs specific consideration, as a too large number poses problems for human cognition, but a too small number inaccurately represents the stakeholder's interest. In stakeholder groups with many members, such as those representing citizens, defining a criteria set is likely to be even more complicated. Currently, there is no formal guideline to assist facilitators in defining these criteria sets. In this paper, we propose a novel framework for criteria preprocessing with stakeholder involvement that includes a guideline for firstly selecting criteria into a tentative list and secondly selecting the final criteria set. It provides a procedure on how to determine criteria considering the priorities of stakeholder groups with regard to the context. As a final step, we propose a mathematical model for selecting a number of criteria that are both cognitively manageable and representative for the participants' priorities. Based on the principles of the Pareto analysis, as well as the cognitive judgment theory “magic number seven plus or minus two”, a recommendation list of the criteria is generated. It prevents key criteria from being omitted while at the same time limiting the overall number of criteria. This framework is applied to a social decision-making case for construction logistics, and the results are compared with the conventional approach of criteria definition.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 3-4","pages":"132-146"},"PeriodicalIF":2.0,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42178377","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}
Judith Y. T. Wang, Zhengyu Wu, Yating Kang, Edward Brown, Mengfan Wen, Christopher Rushton, Matthias Ehrgott
{"title":"Walking school bus line routing for efficiency, health and walkability: A multi-objective optimisation approach","authors":"Judith Y. T. Wang, Zhengyu Wu, Yating Kang, Edward Brown, Mengfan Wen, Christopher Rushton, Matthias Ehrgott","doi":"10.1002/mcda.1803","DOIUrl":"10.1002/mcda.1803","url":null,"abstract":"<p>Walking School Bus (WSB) has been recognised as an innovative solution to promote walking to school, bringing a wide spectrum of benefits, including: health benefits from the physical exercise, social skills and traffic reduction. To facilitate the success of WSB, one vital element is its route planning, which directly affects the catchment for the service and the realisation of all the potential benefits. Previously, time has been the only factor that has been considered in WSB routing problems. Other important factors including air quality, safety and comfort will also be considered in this paper. Air quality along a WSB route is important to help realise the health benefits of walking. Traffic safety has been the biggest barrier to walking to school and must be addressed in planning a WSB route. Ensuring children have an enjoyable and comfortable experience is vital for the sustainability and success of WSB. A walking network is introduced to enable modelling pedestrian movements in detail, including walking movements on different sides of the road and crossing movements. This approach enables detailed route-based analysis to assess the localised effect of air quality on pollutant dose. We define walkability as a measure of children's needs in safety and comfort, which can also be assessed in detail on each route. We propose a multi-objective optimisation model to generate <i>efficient</i> WSB routes with three objectives representing the potential benefits of WSB: (1) to minimise time; (2) to minimise pollutant dose; and (3) to maximise walkability. We apply our model to a selected school in Bradford in the UK, generating three WSB lines following <i>efficient</i> routes. These lines go through a predetermined sequence of ‘WSB Stops’, with the final stop as the school. All children within the catchment area will be able to join a WSB within 1–2 min walk from their home to the nearest stop. Our multi-objective WSB route planning model is highly transferable to any selected school in any WSB targeted area. Planners will be able to select a combination of WSB lines to offer, based on the requirement of coverage area and resource availability.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 3-4","pages":"109-131"},"PeriodicalIF":2.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mcda.1803","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46273417","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}
Sharfuddin Ahmed Khan, Himanshu Gupta, Angappa Gunasekaran, Muhammad Shujaat Mubarik, Jennifer Lawal
{"title":"A hybrid multi-criteria decision-making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry","authors":"Sharfuddin Ahmed Khan, Himanshu Gupta, Angappa Gunasekaran, Muhammad Shujaat Mubarik, Jennifer Lawal","doi":"10.1002/mcda.1800","DOIUrl":"10.1002/mcda.1800","url":null,"abstract":"<p>Pharmaceutical Supply Chain (PSC) plays a critical role in the healthcare sector. This study identifies, validates, and prioritises the factors that play a crucial role in PSC performance, adopting a threefold approach. In the first stage performance, indicators were identified through an extensive review of the literature. With the help of expert opinion, the identified factors were validated and then categorised based on technological—organisational—environmental (TOE) and supply chain (SC) theories to propose a framework. The Pakistani Pharmaceutical sector firms were selected to investigate the cause and effect relationship among the factors, their interdependencies, and impact on overall PSC performance. This investigation was supported by a novel integrated analytic model composed of best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and analytical network process (ANP) methods. The results indicate that ‘human resource skills, competencies, and involvement’, ‘process improvement and healthcare reform, and manufacturing’, and ‘distribution and inventory management’ are the top three factors that have a high impact on the overall PSC performance. This study outcome help inform decision-makers and managers in the healthcare sector in formulating strategies to improve their SC performance.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 1-2","pages":"62-90"},"PeriodicalIF":2.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41799556","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}