Forthcoming articles

 


International Journal of Management and Decision Making

 

These articles have been peer-reviewed and accepted for publication in IJMDM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

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International Journal of Management and Decision Making (4 papers in press)

 

Regular Issues

 

  • Multi-criteria Decision-making Methods for Project Portfolio Management: A Literature Review   Order a copy of this article
    by Darius Danesh, Michael J. Ryan, Alireza Abbasi 
    Abstract: Project portfolio management (PPM) has become a key element of large organisations service delivery due to the close attention inherently paid to numerous issues in the discipline of project management. Its success is closely associated with the degree of understanding of its issues and the quality of decisions made at the portfolio level which can be addressed using multi-criteria decision-making (MCDM) methods. Although several of these MCDM methods have been introduced to support decision-making functions as part of PPM, there has been little assessment of their performances, particularly when combining some of them. This paper identifies the key challenges of PPM, proposes a new framework for classifying PPM MCDM related methods and presents a literature review of applications of MCDM methods to PPM.
    Keywords: project portfolio management; PPM; multi-criteria decision making; MCDM; MCDM classification; PPM Challenges; decision problem.
    DOI: 10.1504/IJMDM.2017.10006139
     
  • Automatic Clustering by Elitism based Multi-Objective Differential Evolution   Order a copy of this article
    by Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev 
    Abstract: To arrange the uncategorized and unlabelled data into different clusters and finding the actual label of each datum from the huge volume by extracting useful and unique information is a real challenge. In this article, an Automatic Clustering by Elitism based Multi-Objective Differential Evolution (AC-EMODE) algorithm has been proposed to deal with partitioning the data into different clusters. This work includes three objectives to handle complex datasets. This generates a suitable Pareto front by simultaneously optimizing three objectives. In addition to that, a very effective concept is followed for getting the best solution from the optimal Pareto front. A comparative analysis of the proposed approach with another six population-based methods has been carried out. These techniques are applied to ten datasets and the results reveal that the proposed approach can be considered as one of the alternative powerful methods for all data clustering applications in various fields.
    Keywords: multi-objective; automatic clustering; fuzzy-based selection; differential evolution.
    DOI: 10.1504/IJMDM.2017.10006140
     
  • Maintenance strategy design in a sintering plant based on a multicriteria approach   Order a copy of this article
    by Gianpaolo Di Bona, Antonio Forcina, Domenico Falcone 
    Abstract: Maintenance strategy design greatly contributes to ensure the of pre-established production capacity of an industrial system and to reduce organisation cost, without compromising customer satisfaction resulting in loss of market share. The focus of the present research is a new model for maintenance policy developed and implemented in a case study. The new approach is focused on the adequate distribution of maintenance budget to system units according to the main factors determining availability and maintenance of equipment. These factors are summarised through appropriate indices, adjusted through a multicriteria method, the analytic hierarchy process (AHP), depending on the importance level of each considered factor and unit of the system. The results can be used as a support for allocation of budgets to maintenance activities, identifying machines or units that are strategic to ensure production. The model has been applied on a real industrial plant.
    Keywords: design of maintenance; budgets allocation; failure analysis;analytic hierarchy process; AHP.
    DOI: 10.1504/IJMDM.2018.10006313
     
  • Comparative analysis of multi criteria decision making methods in choosing contract type for highway construction in Greece   Order a copy of this article
    by FANI ANTONIOU, Georgios N. Aretoulis 
    Abstract: How to compensate highway construction contractors is a complex decision that should be taken based on scientific evidence. Four different Multi Criteria Decision Making methods i.e. the Multi-Attribute Utility Theory, the Technique for Order Preference by Similarity to Ideal Situation, the Preference Ranking Organization METHod for Enriched Evaluation (PROMETHEE) and the PROMETHEE Group Decision Support System method were applied to two case study projects with different characteristics and awarding authorities
    Keywords: Multi criteria decision making; TOPSIS; Utility Theory; PROMETHEE; group decisions; highways; contracts; public service.
    DOI: 10.1504/IJMDM.2018.10008499