A multi-criteria decision making approach based on fuzzy theory and fuzzy preference relations for urban distribution centers' location selection under uncertain environments

Bouhana, Amna; Chabchoub, Habib; Abed, Mourad; Fekih, Afef

doi:10.1109/icadlt.2013.6568519

Cited by 14 publications

(6 citation statements)

References 14 publications

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“…Multicriteria decision making method based on fuzzy theory [14] Multi-objectives decision making model based on fuzzy [21] theory Multicriteria decision making method based on fuzzy logic [22] and SWOT analysis order of preference by similarity to ideal solution (TOPSIS), which is a multi-criteria decision analysis method, The goal of this research is to minimize distribution costs, to conform to sustainable freight regulations of the city and create least negative effects on city residents and their environment The selection criteria used are divided between cost criteria and criteria profit These criteria are as follows accessibility, secu rity, connectivity of the location with other modes of transport, cost, environmental impact, proximity to consumers, proxim ity to suppliers, the resource availability, freight regulations, possibility of expansion and quality of service, The authors have validated the method proposed by its application on the case of a company, where there are three decisions makers and three alternatives, Bouhana et al [14] have proposed a multi-criteria decision making method based on fuzzy theory, whose goal is to minimize, the cost of distribution and the qualitative and quantitative criteria which have negative effects on the resi dents of the city and the environment The criteria used are as the following: accessibility, security and connectivity to multimodal transport, cost, environmental impact, proximity to customers, proximity to suppliers, conformance to sustainable freight regulations, possibility of expansion, quality of service, This methodology has been applied to the case of the public authority, which there are three decisions makers and three alternatives for location selection, Hashim et al [21] have proposed a multi-objectives decision-making model based on fuzzy theory. This uncertain model is converted into a deterministic form by the expected value measure.…”

Section: References Certainmentioning

confidence: 99%

Urban distribution centers' location selection's problem: A survey

Agrebi¹,

Abed²,

Omri³

2015

2015 4th International Conference on Advanced Logistics and Transport (ICALT)

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This paper provides a review on recent efforts and development in urban distribution centers' location selection's problem in two categories including uncertain environment and certain environment problems and their solution methods. Also, it provides an overview on various objectives and criteria used. While there are a few papers related to this topic, we have not seen any comprehensive review papers that can cover it. We believe this paper can be used as a complementary and updated version.

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Section: References Certainmentioning

confidence: 99%

Urban distribution centers' location selection's problem: A survey

Agrebi¹,

Abed²,

Omri³

2015

2015 4th International Conference on Advanced Logistics and Transport (ICALT)

Self Cite

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“…4.2.3.1 E 1 : Impact on ecological landscape. A call center is supposed to harmonize with the surrounding landscape of alternates cities (Bouhana et al, 2013;Guo and Zhao, 2015;Vafa-Arani et al, 2014). Social responsibility as maintaining or improving the landscape without damaging its original image is important.…”

Section: Development Sustainability Criteriamentioning

confidence: 99%

“…It refers to the potential of alternate cities for a call center to enlarge its scale in the long run. With the rapid development of the mobility industry, a city with a higher possibility of expansion will certainly benefit a lot (Bouhana et al , 2013; Awasthi et al , 2011; Kuo, 2011).…”

Section: Evaluation Criteriamentioning

confidence: 99%

Mobility industry call center location selection under sustainability: a two-phase decision-making approach

Ding

Xu²,

Dai

et al. 2021

SRT

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Purpose This paper aims to solve the facility location problem of mobility industry call centers comprehensively, considering both investment efficiency and long-term development efficiency. Design/methodology/approach In this paper, a two-phase decision-making approach within a multi-criteria decision-making (MCDM) framework has been proposed to help select optimal locations among various alternate locations. Both quantitative and qualitative information is collected and processed based on fuzzy set theory and fuzzy analytic hierarchy process. Then the fuzzy technique for order preference by similarity to an ideal solution method is incorporated in the framework to assess the overall feasibility of all alternates. Findings A real case of a mobility giant in China is applied to verify the effectiveness of the proposed framework. Sensitivity analysis also proves the robustness of the framework. Originality/value This two-phase MCDM framework allows the mobility industry call center location to be selected considering economic, human resource and sustainability elements comprehensively. The framework proposed in this paper might be applicable to other companies in the mobility industry when deciding optimal locations of call centers.

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“…Furthermore, selecting disaster centre locations is necessary for a quick-response concept to mitigate patients, such as applying a fuzzy AHP to select locations for logistics disaster centres to aid disaster victims when an earthquake occurs (Tuğba Turğut, Taş, Herekoğlu, Tozan, & Vayvay, 2011). Bouhana, Chabchoub, Abed, and Fekih(2013), and applied an AHP methodology in a facility location selection scenario, but neither applied AHP in an LMDC to support last mile delivery in a developing country.…”

Section: Relief Logistics Consolidation Centresmentioning

confidence: 99%

Locational Preference of Last Mile Delivery Centres: A Case Study of Thailand Parcel Delivery Industry

Amchang¹,

Song²

2018

IJIDB

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Purpose -The purpose of this paper is to improve last mile delivery capability and ensure customers' satisfaction by approaching an analytic hierarchy process(AHP) and identifying criteria framework to determine locations of last mile delivery centre(LMDC). Research design, data, and methodology -Traffic congestion and emission policy in cities are barriers of last mile delivery in dense areas. The urban consolidation centre(UCC) cannot increase last mile delivery efficiency in dense cities because of their space and traffic limitation. In this paper, we develop a case to improve last mile delivery efficiency and to ensure customers' satisfaction by concentrating on LMDC. In addition, AHP has been applied to identify criteria framework and determine LMDC locations. The weighted priorities are derived from parcel delivery industry experts and have been calculated using Expert Choice software. Results -The framework criteria have assisted decision makers to place LMDC in a dense area to enhance customer's satisfaction with last mile delivery service. Conclusions -AHP has provided ranking framework criteria of LMDC potential for parcel delivery industry. The LMDC helps by improving last mile delivery efficiency to final destination amids conditions of CO2 emissions, traffic congestion, and pollution problems. It especially concerns delivery service activities when delivering parcels to customers rather than UCC.

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A multi-criteria decision making approach based on fuzzy theory and fuzzy preference relations for urban distribution centers' location selection under uncertain environments

Cited by 14 publications

References 14 publications

Urban distribution centers' location selection's problem: A survey

Urban distribution centers' location selection's problem: A survey

Mobility industry call center location selection under sustainability: a two-phase decision-making approach

Locational Preference of Last Mile Delivery Centres: A Case Study of Thailand Parcel Delivery Industry

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