Multi-objective optimization modelling of sustainable green supply chain in inventory and production management

Ahmadini, Abdullah Ali H.; Modibbo, Umar Muhammad; Shaikh, Ali Akbar; Ali, Irfan

doi:10.1016/j.aej.2021.03.075

Cited by 66 publications

(29 citation statements)

References 74 publications

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“…The most studied concept is "reduce" (R6) because it appears in 22 of the reviewed articles (see Figure 3) and is described to minimize GHG emissions [1,5,18,[20][21][22][23][24][42][43][44]47] and to reduce waste production rather than disposing of created waste [3,4,[25][26][27][28][29][30]45]. Ahmadini et al [41] incorporate both GHG emissions and waste disposal minimization. Another studied environmental aspect is "remanufacture", which involves products at the end of their life or them needing maintenance and being returned.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In Guo et al [24], an optimal solution to the location-inventory problem is developed to define the location and number of orders placed annually in a CL SC by considering sales on the primary and secondary markets for new and used products, respectively. Only one article presents a model that solves an inventory-production problem; Ahmadini et al [41] consider that the production process contributes immensely to global warming. Eight articles solve the location-inventoryrouting problem.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Of all the available model approaches, mathematical programming models are the most widely used to solve the aforementioned problems (66.67%). Figure 4 particularly depicts: mixed-integer linear programming with six single objective cases [16,17,20,24,26,28]; multi-objective models [21,42]; multi-objective with fuzzy goal programming [39,43]; fuzzy multi-objective linear programming [14]; a multi-objective fractional programming model by Ahmadini et al [41]; linear programming with one case [40]; sustainable EOQ developed by Battini et al [3]; a constrained programming model overcome by Zhang et al [25]; a stochastic optimization problem [33]; a Markov decision process [37]; mixed-integer nonlinear programming [34]; two integer programming models [4,29]. Simulation models are also widespread (33.33%).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Two regression models appear: one by Ross et al [36] that describes a hybrid simulation-regression model and a regression model for the insight generation of managerial decisions by [15]. programming [39,43]; fuzzy multi-objective linear programming [14]; a multi-objective fractional programming model by Ahmadini et al [41]; linear programming with one case [40]; sustainable EOQ developed by Battini et al [3]; a constrained programming model overcome by Zhang et al [25]; a stochastic optimization problem [33]; a Markov decision process [37]; mixed-integer nonlinear programming [34]; two integer programming models [4,29]. Simulation models are also widespread (33.33%).…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Sustainable Inventory Management in Supply Chains: Trends and Further Research

Becerra

Sanchís

2022

Sustainability

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This article presents an overview of the models applied to sustainable inventory management in supply chains and a roadmap for new research. It aims to address the lack of understanding of how sustainability is being incorporated into quantitative inventory management models in the supply chain context. The study is based on a classification of the reviewed literature according to the following criteria: supply chain structure, environmental approach, problem type, modeling, and solution approach. As a result, 36 articles were analyzed and classified. The main findings show that studies that incorporate social sustainability into inventory management along supply chains are lacking, while environmental studies are a growing research area. Uncertainty issues also need to be incorporated into sustainable inventory management models. Another important result of this study is the definition of a roadmap with trends and future research guidelines. The identified future research guidelines include incorporating decisions that can help to improve economic, environmental, and social sustainability. Thus, future studies should focus on both following quantitative models that incorporate inventory decisions integrally with transportation and location decisions, and more complex models, and employing new algorithms and heuristics to solve them.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Sustainable Inventory Management in Supply Chains: Trends and Further Research

Becerra

Sanchís

2022

Sustainability

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“…It could also respond to the needs of downstream and even end customers in a timelier manner. At the same time, it mitigated the safety hazards caused by sulfur buildup and protected the local climate and the operation of the upstream production line (Ahmadini et al, 2021).…”

Section: Impact Of Changes In Transport Delay Timesmentioning

confidence: 99%

RETRACTION ARTICLE: Two-stage supply chain inventory management based on system dynamics model for reducing bullwhip effect of sulfur product

Zhou

et al. 2022

Ann Oper Res

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Bullwhip effect is prevalent in supply chains, creating supply and inventory risks that affect marketing, supply and production. However, there are limited researches on the optimization of chemical supply chain inventory management. In order to solve the above problem, this paper took the sulfur product supply chain of a sulfur plant as an example, combined with the idea of system dynamics, and systematically studied the inventory control strategy in the distributor-retailer two-level inventory system constituted by the supply chain. Firstly, the causal loop diagram was drawn according to the system relationship between variables in the two-level supply chain, and then the system dynamics model of sulfur product supply chain was formed. Finally, problems existing in the supply chain were explored through simulation, and optimization suggestions were submitted. It can be concluded from the simulation results that there was bullwhip effect in the sulfur product supply chain, and the delay of transportation time and the change of inventory adjustment time would have an impact on the inventory level of each node enterprise in the supply chain. Therefore, the method of building an information sharing platform, implementing visual information management, and adopting logistics transportation service outsourcing could enhance the information exchange among node enterprises, so as to improve the operational efficiency of the entire product supply chain.

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Analyzing coordination strategy of circular supply chain in re‐commerce industry: A game theoretic approach

et al. 2022

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The circular economy seeks to reduce waste by reusing, refurbishing, and recycling used products. It increases the resource value of used goods. In this study, we proposed a circular business gap exploiter model in which a re-commerce company exploits residual value in product systems utilization. A game-theoretic approach is used to investigate the coordination problem of a two-echelon circular supply chain with e-commerce and re-commerce companies. In addition, we proposed a coordinated structure under the revenue sharing contract and the two-part tariff contract through Nash negotiation to address the coordination problems. We compared the centralized and decentralized model findings and observed that the decentralized model shows potential for improvement. We showed model's applicability through numerical examples and sensitivity analysis to indicate how parameters such as wholesale price and retail price affect channel decisions and member profits. The results show that a two-part tariff contract may efficiently coordinate the circular supply chain. The study shows that under a circular business model, two tactics may be applied. These are extending product value and extending resource value.

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Multi-objective optimization modelling of sustainable green supply chain in inventory and production management

Cited by 66 publications

References 74 publications

Sustainable Inventory Management in Supply Chains: Trends and Further Research

Sustainable Inventory Management in Supply Chains: Trends and Further Research

RETRACTION ARTICLE: Two-stage supply chain inventory management based on system dynamics model for reducing bullwhip effect of sulfur product

Analyzing coordination strategy of circular supply chain in re‐commerce industry: A game theoretic approach

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