2018
DOI: 10.5614/j.eng.technol.sci.2018.50.5.8
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A Hybrid Multi-Criteria Analysis Model for Solving the Facility Location–Allocation Problem: A Case Study of Infectious Waste Disposal

Abstract: Choosing locations for infectious waste disposal (IWD) is one of the most significant issues in hazardous waste management due to the risk imposed on the environment and human life. This risk can be the result of an undesirable location of IWD facilities. In this study a hybrid multi-criteria analysis (Hybrid MCA) model for solving the facility location-allocation (FLA) problem for IWD was developed by combining two objectives: total cost minimization and weight maximization. Based on an actual case of forty-s… Show more

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Cited by 13 publications
(10 citation statements)
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“…First, the total designed daily disposal capacity of the selected MWDCs is assumed to exceed the sum of the maximal values of the fuzzy random daily generated medical wastes from all the medical institutions. Actually, in the literature, most of the medical waste disposal facility location‐allocation models used a similar total capacity constraint (Wichapa & Khokhajaikiat, 2017, 2018). However, in real systems, this may not always be economically viable due to the high operational cost with a relatively high designed daily disposal capacity.…”
Section: Model Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…First, the total designed daily disposal capacity of the selected MWDCs is assumed to exceed the sum of the maximal values of the fuzzy random daily generated medical wastes from all the medical institutions. Actually, in the literature, most of the medical waste disposal facility location‐allocation models used a similar total capacity constraint (Wichapa & Khokhajaikiat, 2017, 2018). However, in real systems, this may not always be economically viable due to the high operational cost with a relatively high designed daily disposal capacity.…”
Section: Model Formulationmentioning
confidence: 99%
“…So far, regarding soft‐path solutions, some studies have been carried out that discuss solid waste disposal site selection and location routing. To optimize the location selection of waste disposal centers, multiobjective mathematical models were widely used to solve the municipal solid, industrial hazardous, and infectious waste location‐routing problems under the influence of various factors such as physical, social, and demographic aspects in a city (Alumur & Kara, 2007; Asefi et al, 2015; Ghezavati & Morakabatchian, 2015; Samanlioglu, 2013; Yu & Solvang, 2016; Wichapa & Khokhajaikiat, 2017, 2018). These studies have significantly improved location identification, evaluation and selection for solid, hazardous, and infectious waste.…”
Section: Introductionmentioning
confidence: 99%
“…These are the reasons why this paper emphasizes adequate MWM, which involves solving the optimal location, routing and scheduling problems of MW collection, and incineration, as it is shown as good practice in other countries [33][34][35][36][37][38][39][40][41][42][43] . This is especially significant today when authors like Yu, Sun, Solvang, and Zhao 44 prove the importance of MW and optimization as one of the key tools in searching for possible solutions during the COVID-19 pandemic.…”
Section: Introductionmentioning
confidence: 99%
“…Ebadi Torkayesh et al(2019) used the entropy, fuzzy VIKOR, and ELECTRE techniqu to analzye municipal solid waste in Azerbaijan, Iran. Wichapa & Khokhajaikiat(2018) used Fuzzy AHP and Fuzzy TOPSIS algorithm to determine the weight of selected criteria in the management of hospital infectious waste. Midatana et.al(2018) used the hybrid method of AHP, TOPSIS, and GIS to evalaute and determine the asppropriate location for the construction of industrial centers.…”
Section: Introductionmentioning
confidence: 99%
“…Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019),Ghazifard and Mortazavi Chamchali (2019),Abdullah et al(2019), Ebadi Torkayesh et al(2019),Wadhwa (2018),Wichapa & Khokhajaikiat(2018),Midatana et.al(2018,Islam et al(2018,Mohammed et al (2018),Saatsaz et.al (2018),Yousefi & et al (2018),,, Nabi Dar et al(2018),Yildirim et al (2018),Ding & et al (2018),, Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Slope C1 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), Yousefi & et al (2018), Soroudi & et al (2018), Soroudi et al (2018), Nabi Dar et al (2018), Yildirim et al (2018), Ding & et al (2018), Mohammed et al(2017), Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Height C2 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), Yousefi & et al (2018), Soroudi & et al (2018), Soroudi et al (2018), Nabi Dar et al (2018), Yildirim et al (2018), Ding & et al (2018), Mohammed et al(2017), Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Soil type C3 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), Yousefi & et al (2018), Soroudi & et al (2018), Soroudi et al (2018), Nabi Dar et al (2018), Yildirim et al (2018), Ding & et al (2018), Mohammed et al(2017), Syed Ismail(2017), Memarbashi et al (2017), Guler & Yomralıoglu (2017), Chabuk et al (2017), Hariz & et al (2017), Kharat et al (2016), Fagbohun & Aladejana (2016), Chauhan & Singh (2016) Distance from fault C4 Shah & et al (2019),Danesh & et al (2019),Feyzi & et al (2019),Alam & et al (2019), Ghazifard and Mortazavi Chamchali (2019), Abdullah et al(2019), Ebadi Torkayesh et al(2019), Wadhwa (2018), Wichapa & Khokhajaikiat(2018), Midatana et.al(2018,Islam et al(2018), Mohammed et al (2018), Saatsaz et.al (2018), ...…”
mentioning
confidence: 99%