Optimal production policy for a closed-loop hybrid system with uncertain demand and return under supply disruption

Giri, Bibhas C.; Sharma, Swati

doi:10.1016/j.jclepro.2015.06.147

Cited by 96 publications

(35 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Talaei, et al [4], addressed a multiproduct, bi-objective mixed integer linear programming for the CLSC network design under demand and costs parameters uncertainty based on a robust stochastic programming approach. Giri and Sharma [5], developed a CLSC inventory system with stochastic market demand and random return of used product with aim to maximize the total profit of the CLSC. Keyvanshokooh, et al [6], proposed a hybrid robust stochastic mixed integer linear programming model for a multi-period capacitated CLSC network design under uncertain demand and return quantity and transportation costs.…”

Section: Introductionmentioning

confidence: 99%

A robust bi-level programming model to design a closed loop supply chain considering government collection’s policy

2018

View full text Add to dashboard Cite

This study aims in providing a new approach regarding design of a closed loop supply chain network through emphasizing on the impact of the environmental government policies based on a bi-level mixed integer linear programming model. Government is considered as a leader in the first level and tends to set a collection rate policy which leads to collect more used products in order to ensure a minimum distribution ratio to satisfy a minimum demands. In the second level, private sector is considered as a follower and tries to maximize its profit by designing its own closed loop supply chain network according to the government used products collection policy. A heuristic algorithm and an adaptive genetic algorithm based on enumeration method are proposed and their performances are evaluated through computational experiences. The comparison among numerical examples reveals that there is an obvious conflict between the government and CLSC goals. Moreover, it shows that this conflict should be considered and elaborated in uncertain environment by applying Min-Max regret scenario based robust optimization approach. The results show the necessity of using robust bi-level programming in closed loop supply chain network design under the governmental legislative decisions as a leader-follower configuration.

show abstract

Section: Introductionmentioning

confidence: 99%

A robust bi-level programming model to design a closed loop supply chain considering government collection’s policy

2018

View full text Add to dashboard Cite

show abstract

“…Shaharudin et al [5] has found that the extent of product collection has a positive significant effect on the adoption of CLSC activities. However, the collection process is quite complex as a result of high uncertainty regarding the quantity, quality, and timing of returns [6][7][8]. The customers' willingness to return their used-product also contributes to the complexity of the collection problem [9,10].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Collection Strategy and Coordination of a Remanufacturing Closed-Loop Supply Chain under Uncertainty

2017

View full text Add to dashboard Cite

This paper aims to investigate the uncertainty factors that impact the collection strategy of a remanufacturing closed-loop supply chain. The basis of this type of supply chain is the collection of used products, without which the remanufacturing of new products would be out of the question. In this paper, we considered the effect of stochastic disturbance on the collection process in a closed-loop supply chain consisting of a manufacturer and a retailer, in which the manufacturer is responsible for collecting the used products. Considering stochastic disturbance, in this research, we proposed a stochastic collection model, and derived the feedback control strategies for both the manufacturer and retailer. Next, we investigated the evolutionary path and probability distribution of the stochastic return rate. Finally, we proposed a contract to coordinate the decentralized closed-loop supply chain. The results showed that the manufacturer would improve the level of return effort as the intensity of stochastic disturbance increases. However, the disturbance would not affect the pricing strategies of the supply chain members. As a result of the stochastic disturbance, the return rate always hovered around the expected return rate, while the expectation and variance of the return rate remained stable from a long-term perspective. The expected value and variance of the return rate could decrease or increase with time, depending on the value of the initial return rate of the system.

show abstract

“…Different strategies and operational aspects of CLSC were researched by those researchers, such as production planning/control, forecasting, inventory management/control, network design, etc. [12]. There are large number of studies and theories on remanufacturing in the automobile industry that are focused on technological processes, state of the art, government subsidy and policy, and some basic theoretical remanufacturing models.…”

Section: Introductionmentioning

confidence: 99%

“…Few studies available analyze the joint remanufacturing system of automobiles, taking the uncertainty both in procurement and demand into consideration, and failing to put up a model more appropriate to the real situation for further reference. Giri, et al [12] considered a closed-loop supply chain (CLSC) inventory system assuming the market demand and the procurement are both stochastic. In this joint manufacturing system, the manufacturer produces new products with raw materials from two suppliers and also remanufactures the end of life products taken back from a collector.…”

Section: Introductionmentioning

confidence: 99%

“…They do not take the uncertain quality factor of procurement into consideration and that uncertainty in quality will lead to cost errors of acquired items according to [21]. Except for this, the model in [12] is comparatively appropriate to the real situation. Along this line, we extended a joint remanufacturing model to take the uncertainty in acquired products into consideration aiming at addressing this gap; in particular, in this model of the automotive remanufacturing industry, we focus on the mathematical method of the problem of the economic order quantity in a joint system based on the model evolved in light of the actual situation of the Chinese remanufacturing environment.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Acquisition and Production Policy for End-of-Life Engineering Machinery Recovering in a Joint Manufacturing/Remanufacturing System under Uncertainties in Procurement and Demand

2017

View full text Add to dashboard Cite

Abstract:The intensive shortage of natural resources and the inchoate phase of automobile remanufacturing in a closed-loop supply chain (CLSC) are driving people to take cyclic manufacturing seriously. Aiming at maximizing resource utilization and produce profits, we apply an optimizing mathematical analysis to the modeling of automobile engine remanufacturing in a joint manufacturing system, in which the quantity and quality of procurement, and the demand of the market, are both uncertain. The manufacturer can either produce new products with raw materials or remanufacture the returned product taken back from customers; the raw materials are bought from two suppliers with certain probabilities of disruption in the supply. The returned products are classified into different quality levels according to the testing results after sorting, by considering the remanufacture-up-to strategy we obtained the optimal remanufacturing ratio, then the manufacturing quantity and corresponding maximized total profit of this joint system are determined. We also investigated a real-life case of auto engine remanufacturing, comparing it with the theory of optimal remanufacturing policy, and the results indicate that a material savings of more than 45% and a cost improvement of more than 40% could be achieved when the optimal remanufacturing policy of our model is implemented.

show abstract

Optimal production policy for a closed-loop hybrid system with uncertain demand and return under supply disruption

Cited by 96 publications

References 62 publications

A robust bi-level programming model to design a closed loop supply chain considering government collection’s policy

A robust bi-level programming model to design a closed loop supply chain considering government collection’s policy

Dynamic Collection Strategy and Coordination of a Remanufacturing Closed-Loop Supply Chain under Uncertainty

Optimal Acquisition and Production Policy for End-of-Life Engineering Machinery Recovering in a Joint Manufacturing/Remanufacturing System under Uncertainties in Procurement and Demand

Contact Info

Product

Resources

About