Supply Chain Optimization Considering Sustainability Aspects

Beheshtinia, Mohammad Ali; Feizollahy, Parisa; Fathi, Masood

doi:10.3390/su132111873

Cited by 8 publications

(6 citation statements)

References 33 publications

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“…In the economic and quality field, binary linear-programming optimization by minimization of the cost, while optimizing environmental pollution and the quality of products, was proposed by [22,23]. Moreover, in the electrical field, integer linear programming was used to maintain energy storage and prolong the battery life cycle, while minimizing load shedding [24].…”

Section: Discussionmentioning

confidence: 99%

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Multi-Objective Optimization of the Organization’s Performance for Sustainable Development

Fechete

Nedelcu

2022

Sustainability

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Sustainable development can be defined in terms of three main components: ecologically sustainable, economically sustainable, and socially sustainable. Conflicting objectives are involved in sustainable development issues, of which the economic, environmental, and social objectives are the most important. Multi-criteria decision-making provides a systematic methodology that combines these conflicting objectives and can provide a rational compromise solution to complex decision-making issues. Using multi-objective optimization, this paper integrated three major objectives of organizational performance, maximizing sales, minimizing expenses, and maximizing productivity, all of which are combined for the sustainable development of the organization. All these conflicting problems were included in an objective function that allowed for solving the three objectives simultaneously and, thus, achieving economic, environmental, and social performance, in order to sustainably develop the organization. The input data included the objectives planned by the company regarding the turnover to be achieved, the production and delivery costs, and the productivity achieved by employees. Customer orders, production capacity, delivery costs, and resource consumption were also taken into account for optimization. With the help of multi-objective linear programming, the optimal number of parts produced and delivered by the company was determined so as to reach its economic, environmental, and social performance.

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Section: Discussionmentioning

confidence: 99%

“…From the analysis of recent works, it is observed that the emphasis is on the product [17][18][19][20][21][22][23][24][25] and not on the organization. Thus, to eliminate all the shortcomings mentioned above, a multi-criterial optimization was conceived, focusing on economic, environmental, and social development.…”

Section: Discussionmentioning

confidence: 99%

Multi-Objective Optimization of the Organization’s Performance for Sustainable Development

Fechete

Nedelcu

2022

Sustainability

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“…After presenting the mathematical model of the problem, they proposed a possibilistic model and a robust possibilistic model to consider the uncertainty in the problem. Bank et al 24 integrated production and distribution scheduling problems with lot‐sizing decisions to minimize total sequence‐dependent setup costs, holding costs, delivery costs, and delay penalties. After presenting two mathematical models for the problem, they proposed a hybrid GA to solve the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

“…LaRoche-Boisvert et al 26 investigated the integration of mine-to-port transportation into production planning and proposed a long-term stochastic integer programming model to optimize multiple objective functions, including production scheduling costs at the mines, stockpile reclamation costs, the equipment fixed cost, mining and mine-to-port transportation costs, and the risks related to meeting product demand at the port. Beheshtinia et al 27 studied integrated production and scheduling problem in a supply chain considering distributed manufacturing system. They developed a new GA named GA-TOPKOR to minimize the total orders' delivery time, transportation and production costs, and pollution level, and maximize the quality of completed orders.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy‐efficient and sustainable supply chain in the manufacturing industry

Beheshtinia

Fathi

2022

Energy Science & Engineering

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This study aims at reducing energy consumption in supply chain networks by providing optimal integrated production and transportation scheduling. The considered supply chain consists of one main manufacturing center, multiple production units (i.e., suppliers), and multiple heterogeneous vehicles as the transportation fleet. To schedule this complex supply chain network in an energy-efficient way, several decisions should be made concerning the assignment of orders to suppliers and determining their production sequence, splitting orders, assigning orders to vehicles, and assigning delivery priority to orders. To cope with the problem, a mixed-integer linear programming model is presented. Due to the complexity of the problem, a novel development of the genetic algorithm named the Multiple Reference Group Genetic Algorithm (MRGGA) is also proposed. Four objectives are considered to be optimized to meet both suitability and energy-efficiency aspects in the supply chain network. These optimization objectives are to minimize the total orders' delivery times to the manufacturing center, fuel consumption by the vehicles, energy consumption at supplies, and maximize orders' quality. To analyze the performance of the proposed algorithm, a real case and a set of generated instances are solved. The results obtained by the proposed algorithm are compared with an existing genetic algorithm in the literature. Moreover, the results are also compared with the optimal solutions obtained from the mathematical model for small-size problems. The results of the comparisons show the efficiency of the proposed MRGGA in finding energy-efficient solutions for the considered supply chain network.

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“…At present, a large number of scholars have carried out studies on supply chain, such as Beheshtinia et al An improved genetic algorithm, GA-Topkor, was proposed to solve the supply chain scheduling problem in DMS in consideration of the environment and economy in order to optimize the supply chain [4]. In terms of supply chain performance, Park focuses on the new supply chain management based on block chain and its sustainability performance in environmental protection, social equity, governance efficiency and other aspects.…”

Section: Introductionmentioning

confidence: 99%

Risk Aversion of B2C Cross-Border e-Commerce Supply Chain

Zhou

Wang

et al. 2022

Sustainability

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In recent years, with the booming development of the B2C cross-border e-commerce industry, the supply chain of B2C cross-border e-commerce faces many potential risk factors, which must be prevented. To solve this problem, this paper studies the supply chain risk factors of B2C cross-border e-commerce and puts forward avoidance strategies. First, the fitness network model of a dual local world is constructed by combining the fitness model with the local world model. Then, the fitness network model of the dual local world is verified by the risk dynamics simulation model to fit the actual network situation. On this basis, the SIRS virus transmission model is constructed to simulate the risk transmission of the B2C cross-border e-commerce supply chain, and the evaluation index system of the supply chain risk immunity ability and external risk intensity are established according to the supply chain risk immunity ability and external risk intensity. AHP is used to calculate the factors that have the greatest influence on supply chain risk immunity and external risk intensity. The results show that: from the point of view of the enterprise’s own risk immunity, it is more necessary to ensure the stability of the company’s capital and to establish a perfect risk monitoring and coping mechanism to avoid risks. From the perspective of enterprise external risk intensity, the risk should be avoided from two aspects of transaction security and logistics.

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Supply Chain Optimization Considering Sustainability Aspects

Cited by 8 publications

References 33 publications

Multi-Objective Optimization of the Organization’s Performance for Sustainable Development

Multi-Objective Optimization of the Organization’s Performance for Sustainable Development

Energy‐efficient and sustainable supply chain in the manufacturing industry

Risk Aversion of B2C Cross-Border e-Commerce Supply Chain

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