Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 27 Nov 2017Publisher:Omnia Publisher SLJournal:Journal of Industrial Engineering and Management, volume 10, page 853 (issn: 2013-8423, eissn: 2013-0953,

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Authors: Narong Wichapa; Porntep Khokhajaikiat;

doi: 10.3926/jiem.2353 , 10.60692/3d7dx-jw791 , 10.60692/cgm22-7sm67

handle: 2117/111532 , 10419/188844

Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal

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Abstract

Purpose: Disposal of infectious waste remains one of the most serious problems in the social and environmental domains of almost every nation. Selection of new suitable locations and finding the optimal set of transport routes to transport infectious waste, namely location routing problem for infectious waste disposal, is one of the major problems in hazardous waste management.Design/methodology/approach: Due to the complexity of this problem, location routing problem for a case study, forty hospitals and three candidate municipalities in sub-Northeastern Thailand, was divided into two phases. The first phase is to choose suitable municipalities using hybrid fuzzy goal programming model which hybridizes the fuzzy analytic hierarchy process and fuzzy goal programming. The second phase is to find the optimal routes for each selected municipality using hybrid genetic algorithm which hybridizes the genetic algorithm and local searches including 2-Opt-move, Insertion-move and ?-interchange-move.Findings: The results indicate that the hybrid fuzzy goal programming model can guide the selection of new suitable municipalities, and the hybrid genetic algorithm can provide the optimal routes for a fleet of vehicles effectively.Originality/value: The novelty of the proposed methodologies, hybrid fuzzy goal programming model, is the simultaneous combination of both intangible and tangible factors in order to choose new suitable locations, and the hybrid genetic algorithm can be used to determine the optimal routes which provide a minimum number of vehicles and minimum transportation cost under the actual situation, efficiently.

Related Organizations

Universitat Politècnica de Catalunya
Spain
Universitat Polite`cnica de Catalunya
Spain
Khon Kaen University
Thailand

Keywords

Refuse and refuse disposal, Artificial intelligence, HF5001-6182, Industrial engineering. Management engineering, hybrid genetic algorithm, :Economia i organització d'empreses::Direcció d'operacions [Àrees temàtiques de la UPC], Social Sciences, Operations research, multi-objective facility location problem, Multi-Objective Transportation Problem Optimization, Multi-criteria decision making, Engineering, fuzzy analytic hierarchy process, Management of Technology and Innovation, Fuzzy Goal Programming, Quality Function Deployment in Product Development and Management, Multi-objective facility location problem, Programming paradigm, infectious waste disposal, Business, Constraint programming, Fuzzy goal programming model, ddc:650, fuzzy goal programming model, Mathematical optimization, Commerce, Residus infecciosos, Programming language, Fixed Charge Transportation Problem, HF1-6182, Location routing problem, Genetic algorithm, Hybrid genetic algorithm, Physical Sciences, Decisió multicriteri, Hazardous waste, location routing problem, Organizational Behavior and Human Resource Management, Multi-objective facility location problem, Fuzzy analytic hierarchy process, Fuzzy goal programming model, Hybrid genetic algorithm, Infectious waste disposal, Multi-criteria decision making, Location routing problem, multi-criteria decision making, Stochastic programming, Business, Management and Accounting, T55.4-60.8, Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions, Fuzzy analytic hierarchy process, Goal programming, H, Fuzzy Logic, FOS: Mathematics, Hybrid algorithm (constraint satisfaction), Waste management, Constraint logic programming, Infectious wastes, Computer science, Multiple criteria decision making, Fuzzy logic, Control and Systems Engineering, Residus -- Eliminació, Humanitarian Logistics and Disaster Relief Operations Management, Infectious waste disposal, Mathematics

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