scholarly journals Factor Influencing Basecamp Location Selection of Highway Projects Based on Spatial Analysis

2021 ◽  
Vol 887 (1) ◽  
pp. 012001
Author(s):  
F. Hermawan ◽  
E. Yunianto ◽  
N. Nuroji
Keyword(s):  
Decision Making ◽  
Social Issues ◽  
Raw Material ◽  
Support Tool ◽  
Location Selection ◽  
Construction Company ◽  
Project Site ◽  
Managerial Level ◽  
Selection Of ◽  
Highway Project

Abstract The highway project has a significant challenge in carrying out its work. The procurement of massive and constant materials is a significant problem. There are problems in basecamp selection: high transportation costs due to the distance to the raw material from the quarry, and on a managerial level, selection of basecamp location is the basis for construction firm management in controlling costs, time, and quality of the project. The literature review has mapped technical and non-technical factors in two decades. However, the lesson learned from historical data as a basis for decision-making is limited—the mileage factor between the quarry to the basecamp and from basecamp to the project site. This study aims to analyze the factors that influence determining the basecamp location for highwayprojects. The research method used is a case study, with a qualitative approach strategy using a questionnaire from experienced parties in similar projects. Analytical Hierarchy Process approach and in-depth interview with the former technical manager of highway project from a construction company were used as a decision support tool. The results showed that a priority of basecamp selection was determined based on the factor of the distance from the base camp to the project site, the distance from the basecamp to the quarry, the plan for independent material production. Apart from technical constraints, licensing and social issues were a factor in the location determination stage. This study contributes to the decision-making model for selecting basecamp locations at the managerial level in a construction company.

scholarly journals Application of Multiple Criteria Decision-Making Methods in Assignment Place Selection

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Mustafa Soba ◽  
Yusuf Ersoy ◽  
Ayşenur Tarakcioğlu Altınay ◽  
Birol Erkan ◽  
Eser Şik
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multicriteria Decision Making ◽  
Preference Order ◽  
Location Selection ◽  
Face To Face ◽  
Importance Ratings ◽  
Promethee Method ◽  
Grey Relational ◽  
Selection Of

The aim of this study is to ensure that the location selection of the officers of the personnel class in the Land Forces Command is effective and needs to be met to determine the criteria used in the selection of the place of appointment or which is the most important and to reveal the preference order to the officers making the choice. In this survey, a face-to-face interview technique and 10 subquestionnaires of captain majors were applied. In the questionnaire technique, the weights of the criteria were determined by using the Max100 method, then the values of the criteria were determined by the Max100 method, and the alternatives were graded and ranked by using grey relational analysis (GRA) method and PROMETHEE method which are multicriteria decision-making techniques. As a result of this analysis, the assignment locations are listed and the importance ratings of the criteria used in the selection of the assignment location are determined.

Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making

2019 ◽  
Vol 139 ◽  
pp. 410-425 ◽  
Author(s):  
Yunna Wu ◽  
Ting Zhang ◽  
Chuanbo Xu ◽  
Xiaoyu Zhang ◽  
Yiming Ke ◽  
...  
Keyword(s):  
Decision Making ◽  
Location Selection ◽  
Storage Station ◽  
Multi Attribute Decision Making ◽  
Selection Of

scholarly journals An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Ji-Feng Ding ◽  
Chien-Chang Chou
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Evaluation Model ◽  
Multi Criteria Decision Making ◽  
Location Selection ◽  
Container Logistics ◽  
Proposed Model ◽  
Fuzzy Mcdm ◽  
Selection Of

The role of container logistics centre as home bases for merchandise transportation has become increasingly important. The container carriers need to select a suitable centre location of transshipment port to meet the requirements of container shipping logistics. In the light of this, the main purpose of this paper is to develop a fuzzy multi-criteria decision-making (MCDM) model to evaluate the best selection of transshipment ports for container carriers. At first, some concepts and methods used to develop the proposed model are briefly introduced. The performance values of quantitative and qualitative subcriteria are discussed to evaluate the fuzzy ratings. Then, the ideal and anti-ideal concepts and the modified distance measure method are used in the proposed model. Finally, a step-by-step example is illustrated to study the computational process of the quantitative and qualitative fuzzy MCDM model. The proposed approach has successfully accomplished our goal. In addition, the proposed fuzzy MCDM model can be empirically employed to select the best location of transshipment port for container carriers in the future study.

scholarly journals A New Hybrid MCDM Model: Sustainable Supplier Selection in a Construction Company

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 353 ◽  
Author(s):  
Bojan Matić ◽  
Stanislav Jovanović ◽  
Dillip Kumar Das ◽  
Edmundas Kazimieras Zavadskas ◽  
Željko Stević ◽  
...  
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Supply Chain ◽  
Second Phase ◽  
Sustainable Supply Chain ◽  
Construction Company ◽  
Sustainable Supplier Selection ◽  
Product Assessment ◽  
Simple Additive Weighting ◽  
Selection Of

Sustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter ρ in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.

Multi-Criteria Decision Making in Manufacturing Systems

2019 ◽  
pp. 80-107
Author(s):  
Hande Erdoğan Aktan ◽  
Ömür Tosun
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Decision Makers ◽  
Smart Factory ◽  
Multi Criteria Decision Making ◽  
Structural Modelling ◽  
Location Selection ◽  
The Relationship ◽  
Selection Of

In this study, an Industry 4.0-oriented electronical goods producer company's smart facility location selection problem is analyzed. The proposed problem is evaluated under environmental, economic, social, and technological criteria. The relationship between criteria are analyzed with interpretive structural modelling (ISM) and Matrice d'Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) methods. ISM method is used to assess the mutual relation of the criteria and their dependencies, whereas the MICMAC method is used to identify the importance of criteria based on their driving and dependence power. It is expected the methods used in this study which are related to evaluation of the criteria affecting the selection of the plant for a smart factory and the results of it will be useful for decision-makers and practitioners to categorize and differentiate the criteria. This study will be one of the first spearheading research to evaluate the criteria for establishing a smart factory.

Definition and Levels of Strategy

2020 ◽  
pp. 7-10
Author(s):  
Greg Fisher ◽  
John E. Wisneski ◽  
Rene M. Bakker
Keyword(s):  
Decision Making ◽  
Competitive Advantage ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Diverse Range ◽  
Sustainable Advantage ◽  
Challenges And Opportunities ◽  
Managerial Level ◽  
Corporate Level ◽  
Selection Of

This chapter defines strategy as a diagnosis that defines or explains a business challenge or opportunity, a decision or set of decisions for dealing with the challenge or opportunity, and a coherent set of actions to deliver on the decisions so as to create sustainable advantage and superior returns over rivals. In this chapter we also distinguish between three key levels of strategy: (1) corporate-level strategy, which is concerned with the selection of business areas in which the company should compete and with the development and coordination of that portfolio of businesses; (2) business-level strategy, which is about developing and sustaining a competitive advantage for a business delivering an identifiable set of products and/or services; (3) managerial-level strategic decision-making, which is concerned with identifying and dealing with a diverse range of immediate strategic challenges and opportunities confronting a business.

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