A novel fuzzy mathematical model for an integrated supply chain planning using multi-objective evolutionary algorithm

Alavidoost, M.H.; Jafarnejad, Ahmad; Babazadeh, Hossein

doi:10.1007/s00500-020-05251-6

Cited by 11 publications

(2 citation statements)

References 72 publications

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“…Alavidoost M H et al (2020) [16] devised a hybrid global criterion method to incorporate a primal-dual algorithm, expected value and branch-andbound approach in solving a bi-level integer programming model of supply chain. Alavidoost M H [17] and Yan X [18] et al (2020) both proposed fuzzy mathematical models for multi-stage scheduling.…”

Section: A Related Workmentioning

confidence: 99%

A Hybrid Algorithm for Location-Routing Sustainable Optimization Under Fuzzy Demand

Fan

2022

IEEE Access

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With the globalization of the supply chain and the change of demand environment, designing an effective logistic system in the sustainable development of the supply chain becomes more critical. This study proposes a location-routing problem to determine an efficient integration of single factory and multidistribution centers and multi-customers in uncertain demands. This problem can be regarded as an optimization integrating location, distribution decision, and routing management. The objective function is to minimize the total cost and satisfy all the requirements, which is a highly complex NP-hard problem, so a hybrid algorithm of genetic algorithm (GA) and tabu search (TS) algorithm is proposed. A fuzzy c-means clustering algorithm is used to produce an initial solution. Fuzzy triangular number and confidence interval transformation are used to deal with fuzzy customer demand. The research findings concludes that (i) determine the numbers of facilities with locations that should be opened and (ii) minimize the total cost in supply chain. The experiments prove that the proposed hybrid algorithm of GA and TS algorithm overcomes the defect of local optimum in the literature viewpoint, and the optimization algorithms can effectively solve the location-routing problem.INDEX TERMS Location-routing problem, fuzzy demand, genetic algorithm, tabu search, fuzzy c-means algorithm.

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Section: A Related Workmentioning

confidence: 99%

A Hybrid Algorithm for Location-Routing Sustainable Optimization Under Fuzzy Demand

Fan

2022

IEEE Access

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“…Alavidoost et al [20] proposed a fuzzy mixed-integer linear programming optimization model for an integrated supply, production, and distribution supply chain of multi-product, multi-level, multi-plant. They proposed a model aimed to optimize customer satisfaction as well as chain supply costs, simultaneously, which was solved by some popular multi-objective metaheuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics

Behmanesh

Pannek

2022

J. Oper. Res. Soc. China

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The distribution–allocation problem is known as one of the most comprehensive strategic decisions. In real-world cases, it is impossible to solve a distribution–allocation problem completely in acceptable time. This forces the researchers to develop efficient heuristic techniques for the large-term operation of the whole supply chain. These techniques provide near optimal solution and are comparably fast particularly for large-scale test problems. This paper presents an integrated supply chain model which is flexible in the delivery path. As solution methodology, we apply a memetic algorithm with a novelty in population presentation. To identify the optimum operating condition of the proposed memetic algorithm, Taguchi method is adopted. In this study, four factors, namely population size, crossover rate, local search iteration and number of iteration, are considered. Determining the best level of the considered parameters is the outlook of this research.

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Optimisation Modeling for Lean, Resilient, Flexible and Sustainable Supply Chain Planning

Reyes

Díaz-Madroñero

2023

Lecture Notes on Data Engineering and Communications Technologies

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A novel fuzzy mathematical model for an integrated supply chain planning using multi-objective evolutionary algorithm

Cited by 11 publications

References 72 publications

A Hybrid Algorithm for Location-Routing Sustainable Optimization Under Fuzzy Demand

A Hybrid Algorithm for Location-Routing Sustainable Optimization Under Fuzzy Demand

Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics

Optimisation Modeling for Lean, Resilient, Flexible and Sustainable Supply Chain Planning

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