EDAS method for multiple criteria group decision making with picture fuzzy information and its application to green suppliers selections

In this paper, we construct picture fuzzy EDAS model based on traditional EDAS (Evaluation based on Distance from Average Solution) model. Firstly, we briefly review the definition of picture fuzzy sets (PFSs) and introduce the score function, accuracy function and operational laws of picture fuzzy numbers (PFNs). Then, we combine traditional EDAS model for MCGDM with PFNs. In our model, it’s more accuracy and effective for considering the conflicting attributes. Finally, a numerical example for green supplier selection has been given to illustrate this new model and some comparisons between EDAS model with PFNs and PFWA, PFWG aggregation operators are also conducted to further illustrate advantages of the new method. First published online 23 August 201

A FRAMEWORK FOR STRATEGIC PROJECT ANALYSIS AND PRIORITIZATION

Projects that support the long-term strategic intent and alignment are considered strategic projects. Therefore, these projects must consider their alignment with the organization’s current strategy and focus on the risk, organizational capability, resources availability, political influence, and socio-cultural factors. Quantitative and qualitative methods prioritize the projects; however, they are usually suitable for specific industries. Although prioritization models are used in the private sector, the same in the public sector is not widely seen in the literature. The lack of models in the public sector has happened because of the projects’ social implications, the value perception of different projects in the public sector, and potentially differing value perceptions attached to the types of projects in different decision-making environments in the public sector. The thesis proposes a generic framework to develop a priority list of the available basket of projects and decide on projects for the next undertaking. The focus of the thesis is on public projects. The analysis in the framework considers the critical factors for prioritization obtained from the literature clustered through the agglomerative text clustering technique. In the proposed framework, 13 critical clusters are identified and weighted using the Criteria Importance Through Intercriteria Correlation (CRITIC) method to develop their ranking using the Technique for Order of Preference Similarity Ideal Solution (TOPSIS) method. In addition, the proposed framework uses vector weighting to prioritize projects across industries. The applicability of the framework is demonstrated through Qatar’s real estate and transportation projects. The outcome obtained from the framework is compared with those obtained through the experts using the System Usability Scale (SUS). The comparison shows that the framework provides good predictability of the projects for implementation

An analysis on integrated supply chain management in academic university library

Supply chain management has been widely used in manufacturing industries and proven by researchers and practitioners as a best practice. It can satisfy stakeholders, increase revenues, and decrease the total costs. However, very few service industries, particularly the academic library, have implemented supply chain management. Several problems related to the academic library supply chain should be addressed, such as how to model the entities and their functions for the general practice of an academic library supply chain, and the linkage among these entities as an integrated model. This research develops an integrated academic library supply chain model, which can be used for the strategic planning of the academic library. It identifies entities and their functions for the academic library supply chain, constructs a conceptual model of the integrated supply chain of the academic library, and analyses the interrelationship among the newly developed model entities. This research used both qualitative and quantitative approaches to achieve the research objectives. The process of identifying the entities and their functions of the academic library supply chain was accomplished by using a theoretical literature review and content analysis techniques. The proposed conceptual supply chain model was developed based on the system thinking method. Eventually, it was validated through the Fuzzy Delphi method, an expert judgment technique. Three conceptual models for the supply chain academic library were successfully developed: The Holistic View of Supply Chain Model for Academic Library, the Material Purchasing Decision Making Model, and the Integrated Academic Library Supply Chain Model. These three models were validated by the academic librarians. This research expands the knowledge of supply chain theory, particularly in the supply chain academic library. It also contributes to the academic library management in planning and formulating a roadmap for the library to increase its quality services for all stakeholders