scholarly journals A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Junkang He ◽  
Chenpeng Feng ◽  
Dan Hu ◽  
Liang Liang

China is one of the disaster-prone countries in the world. Constructing a rapid and effective relief logistic system is important for disaster-responding at country level. Strategic prepositioning of emergency items, especially the decision of appropriate emergency warehouses location, has significant impacts on rapid disaster response to ensure sufficient relief supplies. The emergency warehouse location decision is a complex problem, where a wide variety of criteria need to be considered and the preference information of decision makers (DMs) may be imprecise or even absent. In this paper, we identify key effectiveness-oriented criteria used to evaluate the alternative emergency warehouse locations and make an attempt to propose a new multicriteria ranking method to solve the problem of inaccurate or uncertain weight information based on stochastic pairwise dominant relations and the pruning procedure of ELECTRE-II method. The proposed method extends the conventional ELECTRE-II method by incorporating inaccurate information and broadens its application to emergency warehouse location field. The feasibility and applicability of the proposed method are illustrated with a simulated example.

Author(s):  
Paulo Rossi Croce ◽  
Lays De Matos Azevedo ◽  
Henrique Rego Monteiro da Hora ◽  
Alline Sardinha Cordeiro Morais

Coffee participates significantly on society’s life, with its benefits and commercial importance, it is undoubtedly a precious commodity. Coffee shops are not different, it is an ideal place to relax, have a conversation or even do work related chores. This paper uses the Analytic Hierarchy Process to identify the best place to open a new coffee shop on a commercial center, since it is a complex problem that have to cover lots of alternatives, it was divided in three stages. First it is decided whether a store or a kiosk is better within this specific case, then decides the macro location and finally the specific spot. The analysis resulted on a store located afar from the food plaza, where have intense flow of clients passing by. It was possible to solve the doubts appointed at first by the decision-maker, besides it helps to improve the product quality, since the criteria was based thinking on the client’s satisfaction.


Author(s):  
Rajali Maharjan ◽  
Shinya Hanaoka

Purpose The purpose of this paper is to reveal the importance of the order of establishment of temporary logistics hubs (TLHs) when resources (mobile storage units used as TLHs) are limited and to present the development and implementation of a methodology that determines the order of establishment of TLHs to support post-disaster decision making. Design/methodology/approach It employed a decision support system that considers multiple decision makers and subjective attributes, while also addressing the impreciseness inherent in post-disaster decision making for ordering the establishment of TLHs. To do so, an optimization model was combined with a fuzzy multi-attribute group decision making approach. A numerical illustration was performed using data from the April 2015 Nepal Earthquake. Findings The results showed the location and order of establishment of TLHs, and demonstrated the impact of decision makers’ opinions on the overall ordering. Research limitations/implications The study does not discuss the uncertain nature of the location problem and the potential need for relocation of TLHs. Practical implications This methodology offers managerial insights for post-disaster decision making when resources are limited and their effective utilization is vital. The results highlight the importance of considering the opinions of multiple actors/decision makers to enable coordination and avoid complication between the growing numbers of humanitarian responders during disaster response. Originality/value This study introduces the concept of the order of establishment of TLHs and demonstrates its importance when resources are limited. It develops and implements a methodology determining the order of establishment of TLHs to support post-disaster decision making.


Author(s):  
Nagwan El- Sayed Abo El- Enen, Khaled Mohamed Heiza, Ibrahim Nagwan El- Sayed Abo El- Enen, Khaled Mohamed Heiza, Ibrahim

Due to recent environmental and Political requirements, and regulations of the construction industry, in which bridges is one of its important category, deciding its proper constructability is becoming vital. Therefor the objective of this research is to develop a decision model for selecting proper constructability of green bridges constructions, the model was built based on analytical network process (the ANP) soft were program, integrated with value engineering approach. For this analytical study different parameters are identified and ranked to be implemented for the decision model developed on the biases of four surveying studies conducted in this study the results of these surveying's was be analyzed by using the statically analytical program; "SPSS". Model validation and reliability is carried out using the analytical network process (ANP) for statistically analysis using case study which is a cable bridge project constructed in Egypt. ANP proves to be an effective framework for assessing readiness to adopt and facilitating TQM. The result of the study illustrate that the proper constructability alternative in green bridge concept for this determinate project is the concrete box girder type, upon this there is a cost loss of $3, 500 per square meter, equivalent to 50% losses, respect to the life cycle cost this is due to did not using the best alternate of the estimated project. upon the possibility of applying this decision model to such studies of infrastructure projects, and with respect to the results gained; it is recommend to apply the ANP model with respect to VE procedures to bridges projects of all kinds and their determinants, as well as all other construction projects, especially national ones, in future studies, which allows decision- makers to make decisions that aim at the highest quality without any waste in unnecessary costs.


2021 ◽  
Vol 13 (16) ◽  
pp. 9281
Author(s):  
Moddassir Khan Nayeem ◽  
Gyu M. Lee

In the post-disaster response phase, an efficient relief distribution strategy plays a vital role in alleviating suffering in disaster-stricken areas, which sometimes becomes challenging in humanitarian logistics. Most governments pre-located the relief goods at the pre-determined warehouses against possible disasters. Those goods must be shipped to the relief distribution centers (RDCs) to be further distributed to the victims in impacted areas upon the disasters. Secondary disasters can occur due to the first disaster and can occur relatively close in time and location, resulting in more suffering and making the relief distribution activities more challenging. The needs of additional RDCs must be determined as well in response to the secondary disasters. A robust optimization model is proposed to hedge against uncertainties in RDCs’ capacity and relief demand. Its objective is to minimize the sum of transportation cost, additional RDC cost, and shortage of commodities. The computational results are given to demonstrate the effectiveness of the proposed model. The sensitivity analysis gives an insight to the decision-makers.


Author(s):  
Bekir Afsar ◽  
Ana B. Ruiz ◽  
Kaisa Miettinen

AbstractSolving multiobjective optimization problems with interactive methods enables a decision maker with domain expertise to direct the search for the most preferred trade-offs with preference information and learn about the problem. There are different interactive methods, and it is important to compare them and find the best-suited one for solving the problem in question. Comparisons with real decision makers are expensive, and artificial decision makers (ADMs) have been proposed to simulate humans in basic testing before involving real decision makers. Existing ADMs only consider one type of preference information. In this paper, we propose ADM-II, which is tailored to assess several interactive evolutionary methods and is able to handle different types of preference information. We consider two phases of interactive solution processes, i.e., learning and decision phases separately, so that the proposed ADM-II generates preference information in different ways in each of them to reflect the nature of the phases. We demonstrate how ADM-II can be applied with different methods and problems. We also propose an indicator to assess and compare the performance of interactive evolutionary methods.


2022 ◽  
pp. 164-184
Author(s):  
Çağlar Karamaşa ◽  
Selçuk Korucuk ◽  
Ezgi Demir

Considering the environment and human life, the importance of dangerous goods transportation should be carefully considered. Preventing damages during this transportation, anticipating the dangers, and minimizing the risks are vital components for businesses, human life, and the environment. Therefore, reducing/minimizing risks in dangerous goods transportation is a critical element of vital importance. This chapter is aimed to rate the risk factors related to dangerous goods transportation and select the most ideal warehouse locations due to the their importance for human and environmental health. There are a number of factors for that purpose. There are six provinces in the Eastern Black Sea region having the strategic function and structure. According to the decision makers' views and judgments, three provinces are determined in terms of dangerous goods transportation. Picture fuzzy sets-based AHP-TOPSIS methodology was used to analyze the problem of dangerous goods transportation and the most ideal warehouse location selection.


2014 ◽  
Vol 2 (2) ◽  
pp. 40-59
Author(s):  
Mubarak S. Al-Mutairi

A unique fuzzy approach is developed to model uncertainties in the preferences of a decision maker involved in a conflict. Human judgments, including expressing preferences over a set of feasible outcomes or states in a conflict, are usually imprecise. Situations characterized by vagueness, impreciseness, incompleteness and ambiguity, are often reflected in the decision maker's preferences. When modeling a conflict, it is assumed that the decision makers, the courses of actions available for each, and the preferences of each decision maker are known. When the preferences of the decision maker over a certain set of actions are not known with certainty, this could affect the overall equilibria which are predicted in an analysis. Hence, fuzzy logic is used to handle imprecise or vague preference information so that realistic equilibria can be found. The well-known game of Prisoner's Dilemma, in which one must decide whether or not to cooperate, is employed as an illustrative application to demonstrate how the fuzzy preference methodology works in practice.


Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 327
Author(s):  
Juan-Juan Peng ◽  
Chao Tian

Multi-valued neutrosophic sets (MVNSs) consider the truth-membership, indeterminacy-membership, and falsity-membership simultaneously, which can more accurately express the preference information of decision-makers. In this paper, the normalized multi-valued neutrosophic distance measure is developed firstly and the corresponding properties are investigated as well. Secondly, the normalized multi-valued neutrosophic distance difference is defined and the corresponding partial ordering relation is discussed. Thirdly, based on the developed distances and comparison method, an extended multi-valued neutrosophic QUALItative FLEXible multiple criteria (QUALIFLEX) method is proposed to handle MCDM problems where the weights of criteria are completely unknown. Finally, an example for selection of medical diagnostic plan is provided to demonstrate the proposed method, together with sensitivity analysis and comparison analysis.


Author(s):  
Julie Sin

This chapter is a succinct stop for orientation to the concept of complex situations, as the latter are an inherent part of working in health systems. Knowing whether you are in a simple or a complex problem territory and adjusting your approach accordingly is important for decision-makers. The important thing is to be able to recognize these situations. Drawing from the classic literature on the topic, the main features of simple, complicated, and complex situations are described. It is acknowledged that commissioners in health services are often dealing with, or contributing to dealing with complex situations. Addressing this complexity will need to draw on the different perspectives, skills, and experiences that may come from many disciplines and there are often no quick solutions as such. Some practical tips are offered.


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