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

He, Junkang; Feng, Chenpeng; Hu, Dan; Liang, Liang

doi:10.1155/2017/7804781

Cited by 17 publications

(13 citation statements)

References 40 publications

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“…Engineering Management in Production and Services additive weighting (Chou et al, 2008;Dey et al, 2013), PROMETHEE II (Athawale et al, 2012), ELECTRE-II (He et al, 2017), the Choquet integral (Demirel et al, 2010), TOPSIS (Chu, 2002), VIKOR (Kutlu Gündoğdu & Kahraman, 2019), and cloudbased design optimisation (Temur, 2016), among others. Some works on this domain purposely combined two or more MCDM methods to overcome and complement the limitations of each technique and come up with a more powerful hybrid selection tool.…”

Section: Approaches To Warehouse Location Selectionmentioning

confidence: 99%

Warehouse location selection with TOPSIS group decision-making under different expert priority allocations

Ocampo

Genimelo

Lariosa

et al. 2020

Engineering Management in Production and Services

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Warehouses are crucial infrastructures in supply chains. As a strategic task that would potentially impact various long-term agenda, warehouse location selection becomes an important decision-making process. Due to quantitative and qualitative multiple criteria in selecting alternative warehouse locations, the task becomes a multiple criteria decision-making problem. Current literature offers several approaches to addressing the domain problem. However, the number of factors or criteria considered in the previous works is limited and does not reflect real-life decision-making. In addition, such a problem requires a group decision, with decision-makers having different motivations and value systems. Analysing the varying importance of experts comprising the group would provide insights into how these variations influence the final decision regarding the location. Thus, in this work, we adopted the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to address a warehouse location decision problem under a significant number of decision criteria in a group decision-making environment. To elucidate the proposed approach, a case study in a product distribution firm was carried out. Findings show that decision-makers in this industry emphasise criteria that maintain the distribution networks more efficiently at minimum cost. Results also reveal that varying priorities of the decision-makers have little impact on the group decision, which implies that their degree of knowledge and expertise is comparable to a certain extent. With the efficiency and tractability of the required computations, the TOPSIS method, as demonstrated in this work, provides a useful, practical tool for decision-makers with limited technical computational expertise in addressing the warehouse location problem.

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Section: Approaches To Warehouse Location Selectionmentioning

confidence: 99%

Warehouse location selection with TOPSIS group decision-making under different expert priority allocations

Ocampo

Genimelo

Lariosa

et al. 2020

Engineering Management in Production and Services

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“…erefore, the emergency decision making problem has gained increasing attention from both scholars and practitioners over recent years [12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Novel Linguistic Z-Number QUALIFLEX Method and Its Application to Large Group Emergency Decision Making

Ding

Zhu

et al. 2020

Scientific Programming

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After an unconventional emergency event occurs, a reasonable and effective emergency decision should be made within a short time period. In the emergency decision making process, decision makers’ opinions are often uncertain and imprecise, and determining the optimal solution to respond to an emergency event is a complex group decision making problem. In this study, a novel large group emergency decision making method, called the linguistic Z-QUALIFLEX method, is developed by extending the QUALIFLEX method using linguistic Z-numbers. The evaluations of decision makers on the alternative solutions are first expressed as linguistic Z-numbers, and the group decision matrix is then constructed by aggregating the evaluations of all subgroups. The QUALIFLEX method is used to rank the alternative solutions for the unconventional emergency event. Besides, a real-life example of emergency decision making is presented, and a comparison with existing methods is performed to validate the effectiveness and practicability of the proposed method. The results show that the proposed linguistic Z-QUALIFLEX can accurately express the evaluations of the decision makers and obtain a more reasonable ranking result of solutions for emergency decision making.

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“…He et. al [24] identified key effectiveness-oriented criteria used to evaluate the alternative emergency warehouse locations and made an attempt to propose a new multi criteria 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. Gül and Eren [25] developed a multi criteria optimization approach by combining AHP and goal programming (GP) model for warehouse location selection process in a public sector.…”

Section: Introductionmentioning

confidence: 99%

Warehouse Location Selection for An Electricity Distribution Company by KEMIRA-M method

Kiş¹,

Can

Toktaş

2020

Pamukkale J Eng Sci

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Öz In this study, by using Modified Kemeny Median Indicator Ranks Accordance (KEMIRA-M) approach which begins to become popular in recent times for solution of Multi criteria Decision Making (MCDM) problems, warehouse location selection for an electricity distribution company is performed. KEMIRA-M logically distinguishes criteria into two groups and it computes criteria importance weights by including interactions between both groups. KEMIRA-M considers both decision makers' preferences related to the priorities of criteria and quantitative or qualitative values of these criteria in decision making process. Decision makers can change importance weights of criteria based on median priority component representing expected rankings of criteria importance weights and they can see the effect of this variability on rankings of alternatives. In warehouse location selection problem investigated in this study, it is aimed to choose the favorable locationconsidering different criteria and these criteria were grouped firm related and environmental criteria to evaluate 20 alternative warehouse locations. In this context, as firm related criteria; Operation Center-Meeting Point (OC-MP) transportation cost per month, main warehouses' transportation costs per month, number of connected OC-MP, consumption amounts of OC-MP were considered. Population, distance to the closest main road, average distance to main supplier, mobility, investment amounts in 2018, average delivery time and land cost were taken into account as environmental criteria group. Bu çalışmada, Çok Kriterli Karar Verme (ÇKKV) problemlerinin çözümü için son zamanlarda popüler hale gelen Modifiye Edilmiş Kemeny Medyan Gösterge Sıralaması Uygunluk Yaklaşımı (Modified KEmeny Median Indicator Ranks Accordance, KEMIRA-M) kullanılarak; bir elektrik dağıtım şirketi için depo yeri seçimi gerçekleştirilmiştir. KEMIRA-M, kriterleri mantıksal olarak iki gruba ayırmakta ve her iki grup arasındaki etkileşimleri de kapsayarak kriter önem ağırlıklarını hesaplamaktadır. KEMIRA-M, karar vericilerin hem kriter öncelikleriyle ilgili tercihlerini hem de kriterlerin nicel veya nitel değerlerini dikkate almaktadır. Karar vericiler, kriterlerin önem ağırlıklarını medyan bileşen öncelikleri temelinde değiştirebilirler ve bu değişkenliğin etkilerini alternatiflerin sıralaması üzerinde görebilirler. Bu çalışmada incelenen depo yeri seçim probleminde farklı kriterler göz önünde bulundurularak en uygun yerin seçilmesi amaçlanmıştır. Bu kriterler 20 depo yeri alternatifinin değerlendirilmesi için çevresel ve firma ile ilişkili kriterler olmak üzere iki gruba ayrılmıştır. Bu kapsamda, firma ilişkili kriterler olarak; Operasyon Merkezi-Buluşma Noktası Depolarının (OC-MP) aylık ulaşım maliyetleri, 2018 yatırım tutarları, aylık ana depolar arası ulaşım maliyetleri, bağlı OC-MP sayısı ve OC-MP tüketim tutarları dikkate alınmıştır. Çevresel kriterler olarak; nüfus, en yakın ana yola uzaklık, ana tedarikçiye ortalama uzaklık, hareket esnekliği, ortalama teslimat süresi ve arazi maliyeti göz önünde...

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

Cited by 17 publications

References 40 publications

Warehouse location selection with TOPSIS group decision-making under different expert priority allocations

Warehouse location selection with TOPSIS group decision-making under different expert priority allocations

A Novel Linguistic Z-Number QUALIFLEX Method and Its Application to Large Group Emergency Decision Making

Warehouse Location Selection for An Electricity Distribution Company by KEMIRA-M method

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