Warehouse Location Selection Problem Research Articles

Novel decision-making methods for the sustainable warehouse location selection problem considering the value alteration boundaries and accumulation of alternatives

Novel decision-making methods for the sustainable warehouse location selection problem considering the value alteration boundaries and accumulation of alternatives

A new approach for spherical fuzzy TOPSIS and spherical fuzzy VIKOR applied to the evaluation of hydrogen storage systems

This study proposes a new perspective of the TOPSIS and VIKOR methods using the recently introduced spherical fuzzy sets (SFSs) to handle the vagueness in subjective data and the uncertainties in objective data simultaneously. When implementing these techniques using SFSs, two main problems might arise that can lead to incorrect results. Firstly, the reference points might change with the utilized score function. Secondly, the distance between reference points might not be the largest, as known, among the available ratings. To overcome these deficiencies and increase the robustness of these two methods, they are implemented without utilizing any reference points to minimize the effect of defuzzification and without measuring the distance to eliminate the effect of distance formulas. In the proposed methods, when using an SFS to express the performance of an alternative for a criterion, this SFS per se can be viewed as a measure of proximity to the aspired level. On the other hand, the conjugate of the SFS can be viewed as a measure of proximity to the ineffectual level. Two practical applications are presented to demonstrate the proposed techniques. The first example handles a warehouse location selection problem. The second example evaluates hydrogen storage systems for automobiles with different types of data (crisp, linguistic variables, type 1 fuzzy sets). These data are transformed to SFSs to provide a more comprehensive analysis. A comparative study is conducted with earlier versions of TOPSIS and VIKOR to explicate the adequacy of the proposed methods and the consistency of the results.

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

Pharmaceutical warehouses are among the centers that play a critical role in the delivery of medicines from the producers to the consumers. Especially with the new drugs and vaccines added during the pandemic period to the supply chain, the importance of the regions they are located in has increased critically. Since the selection of pharmaceutical warehouse location is a strategic decision, it should be handled in detail and a comprehensive analysis should be made for the location selection process. Considering all these, in this study, a real-case application by taking the problem of selecting the best location for a pharmaceutical warehouse is carried out for a city that can be seen as critical in drug distribution in Turkey. For this aim, two effective multi-criteria decision-making (MCDM) methodologies, namely Analytic Hierarchy Process (AHP) and Evaluation based on Distance from Average Solution (EDAS), are integrated under spherical fuzzy environment to reflect fuzziness and indeterminacy better in the decision-making process and the pharmaceutical warehouse location selection problem is discussed by the proposed fuzzy integrated methodology for the first time. Finally, the best region is found for the pharmaceutical warehouse and the results are discussed under the determined criteria. A detailed robustness analysis is also conducted to measure the validity, sensibility and effectiveness of the proposed methodology. With this study, it can be claimed that literature has initiated to be revealed for the pharmaceutical warehouse location problem and a guide has been put forward for those who are willing to study this area.

Research on Warehouse Location Selection of Community Group Purchasing Platform

The warehouse location selection problem for the community group purchasing platform named “Hippo Tribe” is researched in this paper. By investigating the existing warehouse location of the “Hippo Tribe” and analyzing the existing problems, two alternatives are determined according to the actual situation in Beijing, and then the analytic hierarchy process and fuzzy comprehensive evaluation are used. Method, fuzzy evaluation of the location plan of the new warehouse, and thus the optimal choice plan is determined. Suggestions are given to help enterprises reduce operating costs and improve economic benefits.

A STOCHASTIC MULTI-CRITERIA DECISION-MAKING ANALYSIS FOR A WAREHOUSE LOCATION SELECTION PROBLEM: A CASE STUDY

The problem of a warehouse location selecting which has a significant impact on logistics costs is an important decision problem based on the best choice of alternatives under multiple conflicting criteria. Multiple-criteria decision-making (MCDM) methods are used as a solution approach for the decision problems including several criteria. In this study, a new stochastic multi-criteria decision-making approach has been developed to solve the warehouse location selection problem (WLSP) in the stochastic environment which contains uncertain situations. In the proposed approach, the SAHP (Stochastic Analytic Hierarchy Process) method was used to calculate the weight of criteria, and the alternatives were ranked and evaluated by fuzzy MOORA (Multi-Objective Optimization by Ratio Analysis). The proposed approach is applied to warehouse selection problem of a supermarket chain located in Turkey. The results of the research indicated that A2 is the best alternative. It can be said that the proposed method can be applied to the real life problems because it found a suitable solution to the problem.

APPLICATION OF AHP METHOD FOR THE SELECTION OF PHARMACEUTICAL WAREHOUSE LOCATION

Amaç: Bu çalışmanın temel amacı, eczacılık sektöründe hizmet sunmakta olan bir ecza deposunun ecza deposu yeri seçim problemine Analitik Hiyerarşi Süreci (AHS) yöntemi ile çözüm bulmaktır. Gereç ve Yöntem: Bu çalışma kapsamında, Türkiye’de ilaç dağıtım kanalları arasında önemli bir Pazar payına sahip olan bir ecza deposunun Türkiye’de Doğu ve Güneydoğu Anadolu Bölgesinde kurulabilecek olası bir yeni deposu yer seçimi problemi AHS yöntemi ile çözülmüştür. İlk olarak, AHS algoritması belirlenmiştir Ardından belirlenen kriterler ve alternatifler için karar vericiler tarafından ikili karşılaştırma matrisleri oluşturulmuş ve çözüm için matrisler Super Decision programına aktarılmıştır. Sonuç ve Tartışma: Sonuç olarak, ecza deposu yer seçiminde en önemli kriter altyapı ve fiziksel koşullar (%35) kriteri olmuştur, bunu ulaşım koşulları (%29) takip etmiştir. Bu kriterler doğrultusunda en iyi depo yeri birinci alternatif olarak bulunmuştur.

Stochastic AHP and fuzzy VIKOR approach for warehouse location selection problem

PurposeThe purpose of this paper is to develop a stochastic multi-criteria decision-making approach to solute the warehouse location problem in the stochastic environment which contains uncertain condition.Design/methodology/approachIn developed approach, the weight of criteria was calculated by using the stochastic analytic hierarchy process (SAHP) method. Alternative ranking was made and evaluated by fuzzy VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje).FindingsThis study dealt with warehouse location selection problem of a supermarket that has sellers in many regions in Turkey and selected proper warehouse.Originality/valueThis study combined SAHP and fuzzy VIKOR methods as a solution approach for warehouse location selection problems.

A novel group decision model based on mean–variance–skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty

Recently, sustainable warehouse location has been regarded as one of the most critical and significant decision problems for long-term planning in the supply chain. This strategic decision can be effected by different quantitative and qualitative evaluation criteria via three dimensions of the sustainability. Main theme of the paper is to select the most optimal location decision from a number of potential sustainable warehouse candidates. For this purpose, this paper presents a novel multi-criteria decision-making model by a group of supply chain experts or decision makers with interval-valued fuzzy setting and asymmetric uncertainty information. Concepts of mean, variance and skewness are introduced into the proposed group decision model, and their mathematical relations are defined based on a fuzzy possibilistic statistical approach. Then, new relations in this model are presented for obtaining ideal solutions under uncertainty with two high and low values of the possibilistic mean and possibilistic standard deviation, along with the possibilistic cube root of skewness. In addition, novel separation measures and new fuzzy ranking index of hybridized relative closeness coefficients are presented to provide final preference order of warehouse location candidates under uncertain conditions. Finally, a sustainable warehouse location selection problem in a pharmaceutical company is presented and solved by the proposed group decision model to demonstrate its applicability and suitability.

Multi-criteria decision making approach: a sustainable warehouse location selection problem

The selection of a strategic location of a sustainable warehouse is a multi-criteria decision making problem and has a great importance for many companies as it improves efficiency of the overall supply chain. The aim of the present research work is to identify the crucial, sustainable selection criteria for the chemical industry warehouse, along with the potential sites and to select the most appropriate site for the same. Eleven crucial selection parameters are identified from the literature review and opinions of experts, then analytic hierarchy process (AHP) is employed for ranking the criteria and selecting the best location among the four potential sites. After analysing the 11 selection parameters, it finds that governmental policies and regulations (C1), climatic conditions of the region (C2) and strategic location (C4) are the most significant factors. Site 'A' is found to have the highest relative weight amongst all four potential sites. The developed AHP hierarchical model is intended to guide the managers of the organisation in understanding the importance of the sustainability criteria in the process of warehouse selection.

Multi-criteria decision making approach: a sustainable warehouse location selection problem

The selection of a strategic location of a sustainable warehouse is a multi-criteria decision making problem and has a great importance for many companies as it improves efficiency of the overall supply chain. The aim of the present research work is to identify the crucial, sustainable selection criteria for the chemical industry warehouse, along with the potential sites and to select the most appropriate site for the same. Eleven crucial selection parameters are identified from the literature review and opinions of experts, then analytic hierarchy process (AHP) is employed for ranking the criteria and selecting the best location among the four potential sites. After analysing the 11 selection parameters, it finds that governmental policies and regulations (C1), climatic conditions of the region (C2) and strategic location (C4) are the most significant factors. Site 'A' is found to have the highest relative weight amongst all four potential sites. The developed AHP hierarchical model is intended to guide the managers of the organisation in understanding the importance of the sustainability criteria in the process of warehouse selection.

MULTIATTRIBUTE WAREHOUSE LOCATION SELECTION IN HUMANITARIAN LOGISTICS USING HESITANT FUZZY AHP

Deploying warehouses at strategic locations becomes an important issue for humanitarian relief organizations in order to improve their relief aid capability and rescue plan. The delivery of sufficient technical equipment and provision of shelter and reinforcement to victims is a significant event during relief operations. Warehouse location selection in humanitarian logistics (HL) is a challenging process because choosing a non-optimal location may cause additional problems during rescue activities. The conventional decision making tools used for a warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. In many situations, the values of the qualitative attributes are often incompletely determined by the decision-makers. The fuzzy set theory can capture this type of uncertainty. In this paper, a recent extension of ordinary fuzzy sets, namely hesitant fuzzy sets, is used for considering the decision makers hesitancy in the evaluation. To solve the HL warehouse location selection problem, we propose a new hesitant fuzzy Analytic Hierarchy Process (AHP) method. We also present a HL warehouse location selection case study for a Turkish humanitarian relief organization by using hesitant fuzzy preference information.

A novel multi attribute decision making approach for location decision under high uncertainty

Location selection is a multi dimensional issue which requires consideration of quantitative and qualitative evaluation criteria. Some of these criteria may have imprecise and uncertain data which make the location selection decision hard to progress. Although many multi attribute decision making (MADM) techniques are utilized in location decision study field, there is a lack of studies which provide solutions by considering high number of supply chain uncertainties. In this study, against the drawbacks of traditional MADM techniques, a novel MADM approach is applied for location decision under high uncertainty as a first time. In the proposed model, a new notion named as cloud based design optimization (CBDO) is utilized because CBDO can take into consideration certain and uncertain factors simultaneously. Furthermore, it provides robust solution within worst case scenario to existing approaches by mediating between aspects of fuzzy set theory and probability distributions. Robustness enables decision makers have managerial and operational foresights about possible unexpected situations, and take necessary actions against risk. An illustrative example is conducted in warehouse location selection problem area to indicate the performance of the proposed approach. It is revealed out that location decision is very sensitive to the consideration of uncertainty and CBDO can be a helpful supportive tool for decision makers in providing solution under high uncertainty.

Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria

This paper proposes three new extended fuzzy multi-criteria decision making methodologies capable of handling subjective and objective factors for the evaluation and selection of warehouse location. A warehouse location selection problem involves both subjective as well as objective criteria. The concept of fuzzy set theory is integrated with the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), Simple Additive Weight (SAW) and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) methods to assess subjective criteria in terms of subjective factor measures. A classical normalization technique is employed to assess the objective criteria in terms of objective factor measures. Subjective factor measures and objective factor measures are integrated by the Brown and Gibson model to calculate the warehouse location selection index. The proposed methods are illustrated with two examples of warehouse location selection. A comparative study of the results and a sensitivity analysis are carried out. The study finds that the proposed methodologies are useful and effective fuzzy multi-criteria decision making tools for the evaluation and selection of warehouse location in a supply chain.

Selection of sustainable warehouse location in supply chain using the grey approach

Supply chain sustainability has recently gained an increasing attention in the supply chain context both from the practitioners’ perspective and as a research area. There have been many incentives for more sustainable warehousing in supply chains. Sustainable warehousing includes activities such as, for example, terminal and warehouse location, proper storing and disposing of hazardous materials, donation of excess or obsolete inventory to local communities, and training to safely operate forklifts. A sustainable warehousing company would not only have to consider the economic factors, such as rent and operations costs, but also balance the social and environmental effects that occur within the warehouse compound as well as its surrounding vicinity. Sustainable warehouse location selection decision has a crucial role in the supply chain management process. In this study cost, labour, transportation, environment and geographical location are taken as decision criteria. Grey approach is used under the sustainability basis for the warehouse location selection problem. This method is appropriate for solving the group decision-making problem in an uncertain and inconsistent environment. Warehouse location alternatives for the supply chain of the medical companies are evaluated in this study.

Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem

For the solution of decision making problems with multi criteria, the literature presents many methodologies under the title of decision theory. In this context, AHP, TOPSIS, ELECTRE and Grey Theory are well-known and the most acceptable methodologies. Firstly, in this study; these methodologies are compared in terms of main characteristic of decision theory and thus advantages and disadvantages of these methodologies are offered. Later, the application of these methodologies on the warehouse selection problem, which is one of the main topics of logistics management that has a wide range of applications with multi-criteria decision making methodologies, is presented as a case study which is characterized in retail sector, that maintains high uncertainity and product variety and then how to choose the best warehouse location among many alternatives has been shown.

Coordination, supply chain optimization and warehouse location selection problem

Coordination, supply chain optimization and warehouse location selection problem

Multi-criteria warehouse location selection using Choquet integral

The location of a warehouse is generally one of the most important and strategic decision in the optimization of logistic systems. Warehouse location is a long-term decision and is influenced by many quantitative and qualitative factors. Among the main criteria taken into account in this paper, some are costs, labor characteristics, infrastructure, and markets. This paper also includes some sub-criteria because of the hierarchical structure of the problem, like tax incentives and tax structures, availability of labor force, quality and reliability of modes of transportation, and proximity to customers. The conventional approaches to warehouse location selection problem tend to be less effective in dealing with the imprecise or vague nature of the linguistic assessment. Under many situations, the values of the qualitative criteria are often imprecisely defined for the decision-makers. Choquet integral is a suitable multi-criteria method to capture this imprecise or vague nature. This paper shows a successful application of multi-criteria Choquet integral to a real warehouse location selection problem of a big Turkish logistic firm.