A hybrid clustering and ranking method for best positioned logistics distribution centre in Balkan Peninsula

2017 ◽  
Vol 25 (6) ◽  
pp. 991-1005 ◽  
Author(s):  
Dragan Simić ◽  
Vladimir Ilin ◽  
Vasa Svirčević ◽  
Svetlana Simić
Keyword(s):  
Facility Location ◽  
Hybrid Genetic Algorithm ◽  
Facility Location Problem ◽  
Balkan Peninsula ◽  
Location Decisions ◽  
Logistics Distribution ◽  
Distribution Centre ◽  
Wide Range ◽  
Decision Making Problem ◽  
Hierarchy Process

Abstract Facility location decisions are critical in strategic planning for a wide range of operational and logistical decisions. Facility location problem with focus on logistics distribution centre (LDC) in Balkan Peninsula (BP) is discussed in this article. Methodological hybrid genetic algorithm, Analytical Hierarchy Process, and fuzzy c-means method is proposed here and it is shown how such a model can be of assistance in analysing a multi criteria decision-making problem. This research represents continuation of three existing studies. The experimental results in our research could be well compared with other official results of the feasibility study of the LDC located in BP.

scholarly journals Facility location selection for the furniture industry of Bangladesh: Comparative AHP and FAHP analysis

2021 ◽  
Vol 13 ◽  
pp. 184797902110308
Author(s):  
Md Nazmul Hasan Suman ◽  
Nagib MD Sarfaraj ◽  
Fuad Ahmed Chyon ◽  
Md Rafiul Islsm Fahim
Keyword(s):  
Facility Location ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Facility Location Problem ◽  
Decision Makers ◽  
Energy Availability ◽  
Furniture Industry ◽  
Data Set ◽  
Location Selection ◽  
Hierarchy Process

The furniture industry is growing to a great extent in Bangladesh. Many market researchers believe that the industry has enormous potentiality. However, the expansion of this industry may face complexities within a few years. Due to the wrong selection of facilities, many organizations failed to earn profit as expected. It also needs a large investment. Selecting a suitable place for a new facility is going to be the biggest question of upcoming years. This study aimed to analyze Bangladesh’s furniture industry, address the facility location problem, and provide a constructive solution to the decision-makers. In this study, seven criteria were considered: availability of raw materials, transportations, skilled labor, proximity to customers, energy availability, economic zone facility, and environmental impact, and five ideal locations or alternatives: Khulna, Chattogram, Bogura, Gazipur, and Manikganj. Thirty-four experts took part in the survey to analyze the significant criteria for selecting a furniture industry’s facility location and alternatives or potential locations for the facility. The Analytical Hierarchy Process (AHP) and Fuzzy AHP methods (FAHP), two MCDM techniques, were used to analyze the data set. A sensitivity analysis was done to determine the model’s robustness for any critical changes in the real world. The result showed that ‘energy availability is the most significant criterion to select a facility location for the furniture industry, where it got 35.1% criteria weight in AHP and 33.9% in FAHP. ‘Chattogram’ was selected as the most suitable place containing 33.74% normalized weight in AHP and 33.81% normalized weight in FAHP.

Pricing and location decisions in multi-objective facility location problem with M/M/m/k queuing systems

2016 ◽  
Vol 49 (1) ◽  
pp. 136-160 ◽  
Author(s):  
Reza Tavakkoli-Moghaddam ◽  
Samira Vazifeh-Noshafagh ◽  
Ata Allah Taleizadeh ◽  
Vahid Hajipour ◽  
Amin Mahmoudi
Keyword(s):  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Location Decisions ◽  
Queuing Systems ◽  
Multi Objective

Facility location for a closed-loop distribution network: a hybrid approach

2016 ◽  
Vol 44 (9) ◽  
pp. 884-902 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Qifan Yang ◽  
Nigel Caldwell ◽  
Christian König ◽  
Manoj Kumar Tiwari
Keyword(s):  
Facility Location ◽  
Environmental Sustainability ◽  
Closed Loop ◽  
Distribution Network ◽  
Hybrid Approach ◽  
Facility Location Problem ◽  
Mixed Integer ◽  
Content Type ◽  
Study Approach ◽  
Distribution Centre

Purpose The purpose of this paper is to find a sustainable facility location solution for a closed-loop distribution network in the uncertain environment created by of high levels of product returns from online retailing coupled with growing pressure to reduce carbon emissions. Design/methodology/approach A case study approach attempts to optimize the distribution centre (DC) location decision for single and double hub scenarios. A hybrid approach combining centre of gravity and mixed integer programming is established for the un-capacitated multiple allocation facility location problem. Empirical data from a major national UK retail distributor network is used to validate the model. Findings The paper develops a contemporary model that can take into account multiple factors (e.g. operational and transportation costs and supply chain (SC) risks) while improving performance on environmental sustainability. Practical implications Based on varying product return rates, SC managers can decide whether to choose a single or a double hub solution to meet their needs. The study recommends a two hub facility location approach to mitigate emergent SC risks and disruptions. Originality/value A two-stage hybrid approach outlines a unique technique to generate candidate locations under twenty-first century conditions for new DCs.

scholarly journals An Integrated Approach of Analytic Hierarchy Process and Triangular Fuzzy Sets for Analyzing the Park-and-Ride Facility Location Problem

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1225 ◽  
Author(s):  
Jairo Ortega ◽  
János Tóth ◽  
Sarbast Moslem ◽  
Tamás Péter ◽  
Szabolcs Duleba
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Sets ◽  
Facility Location ◽  
Public Transport ◽  
Location Problem ◽  
Facility Location Problem ◽  
Analytic Hierarchy ◽  
Park And Ride ◽  
Hierarchy Process

A park and ride (P&R) system is a set of facilities where private vehicle users can transfer to public transport to complete their journey. The main advantage of the system is reducing the congestions problem in the central business district (CBD). Thus, the notion of symmetry is particularly important in multi-criteria decision aid (MCDA) because they are basic characteristics of the binary relationships used in modelling the preferences of decision-makers. The focal point of this study is evaluating the P&R facility system location problem from the experts’ point of view. For this aim, an integrated multicriteria decision-making (MCDM) methodology is proposed to evaluate the location of the facilities of the P&R system. The questionnaire survey was designed and estimated by 10 transport experts in the related field. The famous analytic hierarchy process (AHP) was adopted in a fuzzy environment, where the fuzzy sets have an efficient ability to manage the vague concepts in a specific way; moreover, it can mitigate the evaluator reasoning during decision-making. The hierarchical structure of the problem was established to evaluate a real-life problem in Cuenca city, Ecuador. The outcomes highlighted the “accessibility of public transport” as the most significant issue in the P&R facility location problem. The obtained results provide more flexible facilities than the pure AHP method.

scholarly journals A simulation based research on chance constrained programming in robust facility location problem

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 87-96
Author(s):  
Leng Kaijun ◽  
Shi Wen ◽  
Song Guanghua ◽  
Pan Lin
Keyword(s):  
Facility Location ◽  
Location Problem ◽  
Facility Location Problem ◽  
Chance Constraints ◽  
Random Fluctuation ◽  
Location Decisions ◽  
Chance Constrained Programming ◽  
Supply Uncertainty ◽  
Actual Operation ◽  
Constrained Programming

AbstractSince facility location decisions problem include long-term character and potential parameter variations, it is important to consider uncertainty in its modeling. This paper examines robust facility location problem considering supply uncertainty, in which we assume the supply of the facility in the actual operation is not equal to the supply initially established, the supply is subject to random fluctuation. The chance constraints are introduced when formulating the robust facility location model to make sure the system operate properly with a certain probability while the supply fluctuates. The chance constraints are approximated safely by using Hoeffding’s inequality and the problem is transformed to a general deterministic linear programming. Furthermore, how the facility location cost change with confidence level is investigated through a numerical example. The sensitivity analysis is conducted for important parameters of the model and we get the main factors that affect the facility location cost.

scholarly journals A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Project Performance ◽  
Decision Makers ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Conflicting Demands ◽  
Decision Making Problem ◽  
Scientific Approach ◽  
Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

scholarly journals Evaluating Usability of Academic Websites through a Fuzzy Analytical Hierarchical Process

2021 ◽  
Vol 13 (4) ◽  
pp. 2040
Author(s):  
AbdulHafeez Muhammad ◽  
Ansar Siddique ◽  
Quadri Noorulhasan Naveed ◽  
Uzma Khaliq ◽  
Ali M. Aseere ◽  
...  
Keyword(s):  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Academic Tasks ◽  
Frequency Of Use ◽  
Wide Range ◽  
Different Dimensions ◽  
Academic Websites ◽  
Academic Information ◽  
Hierarchy Process ◽  
Usability Criteria

In the higher education sector, there is a growing trend to offer academic information to users through websites. Contemporarily, the users (i.e., students/teachers, parents, and administrative staff) greatly rely on these websites to perform various academic tasks, including admission, access to learning management systems (LMS), and links to other relevant resources. These users vary from each other in terms of their technological competence, objectives, and frequency of use. Therefore, academic websites should be designed considering different dimensions, so that everybody can be accommodated. Knowing the different dimensions with respect to the usability of academic websites is a multi-criteria decision-making (MCDM) problem. The fuzzy analytic hierarchy process (FAHP) approach has been considered to be a significant method to deal with the uncertainty that is involved in subjective judgment. Although a wide range of usability factors for academic websites have already been identified, most of them are based on the judgment of experts who have never used these websites. This study identified important factors through a detailed literature review, classified them, and prioritized the most critical among them through the FAHP methodology, involving relevant users to propose a usability evaluation framework for academic websites. To validate the proposed framework, five websites of renowned higher educational institutes (HEIs) were evaluated and ranked according to the usability criteria. As the proposed framework was created methodically, the authors believe that it would be helpful for detecting real usability issues that currently exist in academic websites.

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