scholarly journals Location planning of urban distribution center under uncertainty: A case study of Yogyakarta Special Region Province, Indonesia

2018 ◽  
Vol 11 (3) ◽  
pp. 542 ◽  
Author(s):  
Bertha Maya Sopha ◽  
Anna Maria Sri Asih ◽  
Putri Dewi Nursitasari
Keyword(s):  
Decision Making ◽  
Spatial Analysis ◽  
Distribution Center ◽  
Geographical Information ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Combined Approach ◽  
Urban Distribution ◽  
The Government ◽  
Special Region

Purpose: The paper aims at proposing a framework and demonstrating application of the framework to evaluate and select the appropriate location for Urban Distribution Center (UDC) in Yogyakarta Special Region Province, Indonesia.Design/methodology/approach: The proposed framework consists two steps of analysis. First, spatial analysis to generate alternative locations using weighted Geographical Information System (GIS) data; second, multi-criteria decision-making to select of the best location. Multi-criteria decision-making method based on fuzzy logic was applied to deal with uncertainty. Accessibility, security, connectivity of multi-modal transport, costs, environmental impact, proximity to customers, proximity to suppliers, resource availability, expansion possibility, service quality, are taken as the decision criteria.Findings: The proposed framework has been able to explain the unsuitability of Jogja Inland Port. Results further indicate that Jogja Inland Port appears to be the worst alternative, whereas the best location for UDC is located in Berbah (Sleman district) where a joint warehouse managed by a group of private companies has existed.Research limitations/implications: As the study has involved the government, experts, and practitioners, future research could engage local residents as decision makers to refine the results, as various stakeholders may have different preferences.Practical implications: From a practical point of view, the present study provides insights to the government to the application of combined approach in determining UDC location as well as evaluation toward the acceptability of Jogja Inland Port.Social implications: The unsuccessful establishment of Jogja Inland Port implies that associated stakeholders, i.e., government, practitioners, residents, should be taken into consideration when planning Urban Distribution Center (UDC) establishment.Originality/value: The research proposes a framework to evaluate and select the appropriate location for Urban Distribution Center (UDC) through combined approach of spatial analysis and multi-criteria decision-making which involves relevant stakeholders.

Multi-Criteria Decision Making for Vulnerability Mapping of Flood Hazard: A Case Study of Pune City

2019 ◽  
Vol 2 (1) ◽  
pp. 41-52
Author(s):  
Nitin Mundhe
Keyword(s):  
Decision Making ◽  
Flood Hazard ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Flood Hazards ◽  
Very High Frequency ◽  
Flood Vulnerability ◽  
Natural Risk ◽  
The Town

Floods are natural risk with a very high frequency, which causes to environmental, social, economic and human losses. The floods in the town happen mainly due to human made activities about the blockage of natural drainage, haphazard construction of roads, building, and high rainfall intensity. Detailed maps showing flood vulnerability areas are helpful in management of flood hazards. Therefore, present research focused on identifying flood vulnerability zones in the Pune City using multi-criteria decision-making approach in Geographical Information System (GIS) and inputs from remotely sensed imageries. Other input data considered for preparing base maps are census details, City maps, and fieldworks. The Pune City classified in to four flood vulnerability classes essential for flood risk management. About 5 per cent area shows high vulnerability for floods in localities namely Wakdewadi, some part of the Shivajinagar, Sangamwadi, Aundh, and Baner with high risk.

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

The framework of data-driven and multi-criteria decision-making for detecting unbalanced bidding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Public Procurement ◽  
Unit Price ◽  
Data Driven ◽  
Relative Distance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Content Type ◽  
The Government

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

Intelligence from Space

2011 ◽  
pp. 194-226
Author(s):  
Paul Hendriks
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Spatial Analysis ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Specific Class ◽  
Step Procedure ◽  
Decision Making Processes ◽  
Projected Position ◽  
Spatial Element

The spatial element, which is omnipresent in data and information relevant to organizations, is much underused in the decision-making processes within organizations. This applies also to decision-making within the domain of Competitive Intelligence. The chapter explores how the CI function may benefit from developing a spatial perspective on its domain and how building, exploring and using this perspective may be supported by a specific class of information systems designed to handle the spatial element in data: Geographical Information Systems (GIS). The chapter argues that the key element for linking GIS to CI involves the identification of situations in which spatial analysis may support organizational decision-making within the CI domain. It presents a three-step procedure for identifying how CI may recognize spatial decision problems that are useful to boost the operation of the CI function. The first step concerns identifying relevant spatial variables, for instance by analyzing economic, demographic or political trends as to their spatial implications. The second step involves using GIS for positioning the organization with respect to the identified variables (present and projected position). The third step amounts to drawing strategic conclusions from Step 2 by assessing how the competition in relationship with the own organization would be positioned along the identified spatial analysis lines.

scholarly journals THE POLYVOCALITY IN ACTION: EMBODYING THE EPIPHANY ON PUBLIC HOUSING CONUNDRUM

2020 ◽  
Vol 8 (4) ◽  
pp. 1396-1417
Author(s):  
Resi Ariyasa Qadri ◽  
Amrie Firmansyah
Keyword(s):  
Decision Making ◽  
Public Housing ◽  
Tacit Knowledge ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Housing Provision ◽  
The Public ◽  
The Government ◽  
Decision Making Model ◽  
Hierarchy Process

Purpose of the study: This paper aims to elaborate on how the institutional logic of public housing provision transforms from the old logic into the new logic. By encapsulating tacit-knowledge from the shift, this study focuses on how to explicate a model of multi-criteria decision-making for executing official residence projects in Indonesia. This research also aims to recuperate the future of the public residency field. Methodology: The methodology employed was a mixed method. The qualitative method was firstly applied by utilizing semi-structured interviews to build a decision-making model. Later, a quantitative method was implemented to improve the consistency of the model by using the Analytical Hierarchy Process protocols. Thirteen project representatives and ten decision-makers were being involved as the main informants. Google Sheets web-based software was applied for analyzing survey results by making use of a mathematical model for the Analytical Hierarchy Process. Main Findings: The result indicates that land not used as paddy field, fair house price, safe from flood location, serene ambiance, and developer experience has played a significant part in affecting buying decisions for residency projects. To carry out the new method, the total scores of the AHP calculation should be above 50. Otherwise, the government shall opt for the old mechanism. Applications of this study: The paper contributes to the public sector accounting field in the area of asset management and public housing procurement. The paper also gives a strong basis for the field to make use of the model of Indonesia's public housing provision. The government can adopt the research framework for choosing the new model or the old one. Novelty/Originality of this study: This study might be the only one of its kind. The research was using a multi-method to achieve the objectives. To generate a multi-criteria decision-making model, grounded data of excessive interviews were abstracted. Then the abstracted tacit-knowledge was tested with AHP to provide a consistent model.

PEAT FIRE MAPPING USING GIS BASED MULTI-CRITERIA DECISION MAKING: STUDY AREA OF KUALA LANGAT, SELANGOR

2019 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Ainon Nisa Othman ◽  
Hazrul Nizam Ismail ◽  
Nafisah Khalid ◽  
Maisarah Abdul Halim, ◽  
Noorain Mohamad Saraf
Keyword(s):  
Decision Making ◽  
Forest Fire ◽  
Ph Value ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Contributing Factors ◽  
Factors Affecting ◽  
Wide Range ◽  
Peat Fire ◽  
Potential Area

Peat fire is a geological disaster that causes damages to nature, human activities and environment. It is a geological phenomenon that involves a wide range of forest fire, vegetation burnt surface and smouldering fire underground. Besides that, there are other contributing factors affecting the peat fire and can lead to the forest fire disaster. In this study, GIS and MCDM Technique were used as a tool to generate the prediction of peat fire potential area map at Kuala Langat, Selangor. All the input is then being analyse in ArcGIS software. Many criteria may contribute to the peat forest fire incident such as land use, temperature, pH value, and soil type criteria. The main benefit for analysing the potential area is the possibility to prevent and predict peat fire occurrences in future other than as a precaution step to face the problems. Keywords: Peat Fire, Geographical Information System, Multi-Criteria Decision Making, Prediction Peat Fire, Kuala Langat District

scholarly journals Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban Residential Buildings

2018 ◽  
Vol 7 (11) ◽  
pp. 444 ◽  
Author(s):  
Mohsen Alizadeh ◽  
Mazlan Hashim ◽  
Esmaeil Alizadeh ◽  
Himan Shahabi ◽  
Mohammad Karami ◽  
...  
Keyword(s):  
Decision Making ◽  
Vulnerability Assessment ◽  
Seismic Vulnerability ◽  
Residential Buildings ◽  
Geographical Information ◽  
Urban Region ◽  
Multi Criteria Decision Making ◽  
Seismic Vulnerability Assessment ◽  
The North ◽  
Tabriz City

Earthquakes are among the most catastrophic natural geo-hazards worldwide and endanger numerous lives annually. Therefore, it is vital to evaluate seismic vulnerability beforehand to decrease future fatalities. The aim of this research is to assess the seismic vulnerability of residential houses in an urban region on the basis of the Multi-Criteria Decision Making (MCDM) model, including the analytic hierarchy process (AHP) and geographical information system (GIS). Tabriz city located adjacent to the North Tabriz Fault (NTF) in North-West Iran was selected as a case study. The NTF is one of the major seismogenic faults in the north-western part of Iran. First, several parameters such as distance to fault, percent of slope, and geology layers were used to develop a geotechnical map. In addition, the structural construction materials, building materials, size of building blocks, quality of buildings and buildings-floors were used as key factors impacting on the building’s structural vulnerability in residential areas. Subsequently, the AHP technique was adopted to measure the priority ranking, criteria weight (layers), and alternatives (classes) of every criterion through pair-wise comparison at all levels. Lastly, the layers of geotechnical and spatial structures were superimposed to design the seismic vulnerability map of buildings in the residential area of Tabriz city. The results showed that South and Southeast areas of Tabriz city exhibit low to moderate vulnerability, while some regions of the north-eastern area are under severe vulnerability conditions. In conclusion, the suggested approach offers a practical and effective evaluation of Seismic Vulnerability Assessment (SVA) and provides valuable information that could assist urban planners during mitigation and preparatory phases of less examined areas in many other regions around the world.

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