The Multi-Actor Multi-Criteria Analysis (MAMCA): New Software and New Visualizations

Huang, He; Lebeau, Philippe; Macharis, Cathy

doi:10.1007/978-3-030-46224-6_4

Cited by 21 publications

(16 citation statements)

References 18 publications

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“…This study adopts the Multi Actor Multi-Criteria Analysis (MAMCA) to evaluate different city actors' expectations and a set of city distribution alternatives holistically. MAMCA was developed by Macharis (2000) and applied in various fields, especially in the domain of mobility and logistics related to transport-related decision making (Huang, Lebeau, & Macharis, 2020). Unlike classical Multiple-criteria decisionmaking (MCDM) methods that adopt a set of standard criteria for each stakeholder for ranking and evaluating, the MAMCA framework aims to highlight deep insights of each stakeholder as defining different criteria tree regarding expectations (Macharis, 2007).…”

Section: Methodsmentioning

confidence: 99%

“…Unlike classical Multiple-criteria decisionmaking (MCDM) methods that adopt a set of standard criteria for each stakeholder for ranking and evaluating, the MAMCA framework aims to highlight deep insights of each stakeholder as defining different criteria tree regarding expectations (Macharis, 2007). MAMCA is a comprehensive analysis method that includes the application of projects to facilitate transaction procedure and visualisation while maximising stakeholder involvement (Huang et al, 2020). In this study, all analysis within the framework of MAMCA was carried out using MAMCA Software.…”

Section: Methodsmentioning

confidence: 99%

“…Aljohani & Thompson (2019) determine six categories of stakeholders: logistics services providers, logistics property providers, receivers, shippers, local authorities, and citizens to evaluate sustainable delivery fleet for freight consolidation policies. The study by Huang et al (2020), concerning the evaluation of the last-mile solutions, identifies city stakeholders as citizens, local authorities, logistics service providers receivers, and shippers. Generally, these stakeholders are involved in the concept of similar logistics topics (Verlinde et al, 2014;Lebeau, Macharis, Van Mierlo, & Janjevic, 2018).…”

Section: Step 2 and Step 3: Identifying Stakeholders And The Criteriamentioning

confidence: 99%

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An Ex-Ante Assessment of City Distribution Alternatives Based on Multi Actor Multi Criteria Framework

Özbekler¹,

Akgül

2020

bmij

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Recently, urban areas face challenges that result from negative externalities of traditional distribution networks. Especially, city actors increasingly suffer from issues as inefficient load factors in operations, traffic volume on roads, and noise pollution. To overcome these problems, modern city distribution patterns integrated with the consolidation strategy have the potential to provide satisfying solutions. Align with city actors’ expectations, alternatives of consolidation-distribution schemes can offer improvements in both economic, social, and environmental issues. In particular, this study aims at an ex-ante evaluation of city distribution alternatives on the typology of consolidation-distribution schemes ensuring win-win solutions to each city actor. This paper adopts Multi Actor Multi-Criteria Analysis (MAMCA) as a novel approach to evaluating different city actors’ objectives and a set of city distribution alternatives comprehensively. The paper results highlight that micro consolidation centre facilities can be more suitable in response to city actors’ expectations among distribution alternatives to urban consolidation centre and mobile depot. Finally, future research in this topic can focus on evaluating distribution alternatives on a sector basis and marketing types such as B2B and B2C.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Step 2 and Step 3: Identifying Stakeholders And The Criteriamentioning

confidence: 99%

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An Ex-Ante Assessment of City Distribution Alternatives Based on Multi Actor Multi Criteria Framework

Özbekler¹,

Akgül

2020

bmij

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“…The concept of visualization refers to the interactive graphical representation of data and information. It aims to convey the summary of data and information, which can be in unclear formats to its audience, in a visually intuitive way that can be explored and lead into new insights [1][2][3]. Information visualization has been emerged from the multidisciplinary scientific fields, such as human-computer interaction, psychology, computer engineering, and computer graphics.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed tool and strategy in this article aims at all categories of problems with relational and many-dimension data sets. Combination of Multi-Criteria Decision Making methods and Visualization techniques [2,[6][7][8][9][10][11][12] provide a robust Visual and Qualitative analyzing platform in order to analyze and rank the instants of different entities in a database. In the past decades, the complexity and dependency of the entities have been increased dramatically in the produced data sets throughout of science and industry.…”

Section: Introductionmentioning

confidence: 99%

Visualization Method for Decision-Making: A Case Study in Bibliometric Analysis

et al. 2021

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Data and information visualization have drawn an increasingly wide range of interest from several academic fields and industries. Concurrently, exploring a huge set of data to support feasible decisions needs an organized method of Multi-Criteria Decision Making (MCDM). The dramatic increasing of data producing during the past decade makes visualization necessary as a presentation layer on the top of MCDM process. This study aims to propose an integrated strategy to rank the alternatives in the dataset, by combining data, MCDM methods, and visualization layers. In fact, the well designed combination of Information Visualization and MCDM provides a more user-friendly approach than the traditional methods. We investigate a case study in bibliometric analyses, which have become an important dimension and tool for evaluating the impact and performance of researchers, departments, and universities. Hence, finding the best and most reliable papers, authors, and publishers considering diverse criteria is one of the important challenges in science world. Therefore, this text is presenting a new strategy on the bibliometric dataset as a case study and it demonstrates that this strategy can be more meaningful for the end users than the current tools. Finally, the presented simulations illustrate the performance and utilization of this combination. In other words, the researchers of this study could design and implement a tool that overcomes the biggest challenges of data analyzing and ranking via a combination of MCDM and visualization methodologies that can provide a tremendous amount of insight and information from a massive dataset in an efficient way.

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Criteria preprocessing in multi‐actor multi‐criteria analysis

Huang

Canoy

Brusselaers

et al. 2023

Multi Criteria Decision Anal

Self Cite

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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.

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The Multi-Actor Multi-Criteria Analysis (MAMCA): New Software and New Visualizations

Cited by 21 publications

References 18 publications

An Ex-Ante Assessment of City Distribution Alternatives Based on Multi Actor Multi Criteria Framework

An Ex-Ante Assessment of City Distribution Alternatives Based on Multi Actor Multi Criteria Framework

Visualization Method for Decision-Making: A Case Study in Bibliometric Analysis

Criteria preprocessing in multi‐actor multi‐criteria analysis

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