A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

Arabzad, S. Mohammad; Ghorbani, Mazaher; Zolfani, Sarfaraz Hashemkhani

doi:10.5755/j01.ee.26.3.4287

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…The location problem is generally engaged with finding a set of appropriate local options for a particular application. The purpose of the location problem is to locate facilities in the supply chain by identifying the best locations from different alternatives (i.e., nodes) (Arabzad et al, 2015). Facility location decision plays a significant role in the strategic design of the supply chain network.…”

Section: Introductionmentioning

confidence: 99%

A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network

Amin-Tahmasbi

Sadafi²,

Ekren

et al. 2022

Ann Oper Res

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This study proposes a mixed-integer multi-objective integrated mathematical model solving facility location and order allocation optimization problems simultaneously in a two-echelon supply chain network.The proposed problem is motivated by a factoyless concept and, by providing a dynamic decision-making solution under a multi-period time horizon. Within the model, we also determine the optimal replenishment amounts of production facilities by the multi-objective functions. The multi-objective functions include minimization of the total cost, rejected and late delivery units and, maximization of the assessment score of the selected suppliers. The studied dynamic decision model is significant for the cost-efficient management of companies' supply chain networks. The mixed-integer mathematical model is developed by the LP-metric method and it is solved by the GAMS optimization software. Due to the NP-hard structure of the problem, for large-scale instances, we utilize the Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-Objective Vibration Damping Optimization (MOVDO) heuristic solution approaches.Numerical results show that for large-scale problems, the MOPSO method performs better in Pareto solutions and decrease run times. However, the MOVDO method performs better regarding the Mean Ideal Distance and the Number of Solutions Cover surface criterion. The developed solution approach by this paper is a generic model which can be applied for any two-level network for simultaneous optimization of supplier selection, location determination of facilities and their replenishment amounts.

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Section: Introductionmentioning

confidence: 99%

A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network

Amin-Tahmasbi

Sadafi²,

Ekren

et al. 2022

Ann Oper Res

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“…Engineers, based upon their ability and experience to design, analyse, and synthesise (Arabzad et al, 2015), play a vital role in capital investment decisions (Karaulova & Bashkite, 2016). The proposed model y determines and forecasts electricity consumption in Iran by employing a hybrid approach consisting of Singular Spectrum Analysis (SSA) in conjunction with fuzzy regression methodology to optimise the fitness function.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Fuzzy Regression - SSA Approach for Electricity Consumption Optimisation

Amoozad

Beheshti

Hossein

et al. 2019

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The critical impact of electricity on the quality of human life and the use of all electrical appliances and equipment is in principle self-evident. Nevertheless, governments cannot afford even productivity to consumption. The countries developed many structures to operate and improve the city and industrial electricity consumption and to manage power generation efficiency. Increase in population and the culture of consumption force the governments to raise the price. However, it is difficult to find ways and means to effectively manage trends in public behaviour and to control the harmful action of the population. This process requires knowing the need and consumption of electricity. The article discusses the primary criterion that influences electricity consumption and uses the singular spectrum analysis based on these factors to predict use. Besides, a fuzzy regression model is represented to optimise function. Results of optimisation show a considerable reduction in comparison with SSA forecasting method, indicating the efficiency of the offered method. Eventually results considerably assume that attention to a way of construction and improvements of the culture of use is a priority of the persons making decisions to reduce radical electric consumption in Iran and to become more optimistic concerning management of an electrical network.

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Integrating freshness and profitability in horticultural supply chain design

Esteso,

Alemany,

Ortiz

et al. 2024

Cent Eur J Oper Res

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The freshness at sale for horticultural products sold in retailers is increasingly valued because of its impact on the environmental and social sustainability of the agri-food sector. To ensure this maximum freshness, it is necessary to consider it when planning planting, harvesting, packing, holding, and transporting of horticultural products. These tactical decisions are constrained by the configuration of the supply chain, which makes it relevant to ascertain if maximising the freshness at sale for horticultural products during chain design influences its configuration. Given the gap in the literature in this area, this paper proposes a mathematical programming model with multiple objectives that supports the design of agri-food supply chains by simultaneously maximising their economic benefits and the average freshness at sale for horticultural products. To this end, the model incorporates strategic decisions concerning supply chain design and tactical decisions concerning the production and transport planning of horticultural products to ensure their freshness. The model’s validity is confirmed through its application to a realistic case study of Argentina, considering scenarios with different weight distribution among the optimized objectives. The results reveal that the distribution of weights among the objectives significantly determines the design of the supply chain and its subsequent management, showing the relevance of considering the freshness of the horticultural products in this process. In addition, the impact this has on the supply chain economic benefits, the average freshness at sale for horticultural products, the wastage of products and the unsatisfied demand are analysed, finding interesting trade-offs among these factors.

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A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

Cited by 8 publications

References 41 publications

A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network

A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network

A Hybrid Fuzzy Regression - SSA Approach for Electricity Consumption Optimisation

Integrating freshness and profitability in horticultural supply chain design

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