Exploring a two-product unreliable manufacturing system as a capacity constraint for a two-echelon supply chain dynamic problem

Costa, Antonio; Cannella, Salvatore; Corsini, Roberto Rosario; Framiñán, José M.; Fichera, Sergio

doi:10.1080/00207543.2020.1852480

Cited by 20 publications

(12 citation statements)

References 79 publications

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“…However, it could represent a strong simplification since the market demand may be significantly variable or uncertain along the time horizon [10]. Recently, Costa et al [11] adopted the HCP to investigate the performance of a two-echelon supply chain where the factory's node consists of a failure-prone two-product manufacturing system characterized by a production line and production flow time. Notably, in their work, the factory has to fulfill a variable demand resulting from several orders placed by a retailer into a finite time horizon.…”

Section: Bai and Elhafsimentioning

confidence: 99%

“…Inspired by the work of Costa et al [11], in this paper AHCP is compared with HCP to maximize the CSL when a highly variable demand arises from the downstream players. For this purpose, an analytical simulation model based on discrete-time difference equations has been used to obtain the outcomes of a full-factorial Design Of Experiment (DOE).…”

Section: Bai and Elhafsimentioning

confidence: 99%

“…On the other hand, the inventory threshold of lost sales is adopted by the manufacturer to limit the backlog quantity. In fact, it is assumed that the cost of backlog is larger than the cost of lost sales when the backlog level exceeds the inventory threshold of lost sales [11,13,14]. Finally, the manufacturing system is connected to a distribution chain consisting of a distributor and final users.…”

Section: Description Of the Manufacturing Systemmentioning

confidence: 99%

“…Finally, the manufacturing system is connected to a distribution chain consisting of a distributor and final users. The demand of the manufacturing plant is variable since it consists of the orders issued by the distributor using the smoothing Order-Up-To replenishment policy [11,15]. Figure 1 depicts the diagram of the system under investigation and shows that the manufacturer and the distribution chain are connected by an information flow, i.e., the orders emitted by the distributor, and a material flow, i.e., the quantity of finished products delivered by the manufacturer to the distributor.…”

Section: Description Of the Manufacturing Systemmentioning

confidence: 99%

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Assessing the Effect of a Novel Production Control Policy on a Two-Product, Failure-Prone Manufacturing/Distribution Scenario

Corsini

Fichera

Costa

2021

Lecture Notes in Mechanical Engineering

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This research deals with a production control policy for an unreliable manufacturing system handling two different types of product. Since the production line cannot produce both product families at the same time, setup operations are required to change the production mode. The decision on product changeover is guided by the production control policy, coping with capacity and inventory shortages due to long setup times and failure events. Usually, the literature adopts the Hedging Corridor Policy, which is optimal in a one-machine two-product reliable manufacturing system for minimizing the total backlog and inventory costs. However, the complexity of the problem increases whenever companies have to satisfy orders with high variability coming from a distribution chain. To address this problem, an analytical model based on discrete time difference equations and an extended experimental analysis have been accomplished to demonstrate the effectiveness of a new production control strategy, named Adaptive Hedging Corridor Policy.

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Section: Bai and Elhafsimentioning

confidence: 99%

Section: Bai and Elhafsimentioning

confidence: 99%

Section: Description Of the Manufacturing Systemmentioning

confidence: 99%

Section: Description Of the Manufacturing Systemmentioning

confidence: 99%

See 2 more Smart Citations

Assessing the Effect of a Novel Production Control Policy on a Two-Product, Failure-Prone Manufacturing/Distribution Scenario

Corsini

Fichera

Costa

2021

Lecture Notes in Mechanical Engineering

Self Cite

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“…To tackle such uncertainties, many studies select different modeling methods given the presence or absence of historical data (Ivanov and Dolgui 2020;Zhang et al 2021). However, Turken et al (2020) argue that the various sources of uncertainties is a serious issue, which significantly reduces the flexibility of decisions, and there are only few studies selecting modeling methods with a consideration of the complexity of uncertainty sources (Costa et al 2020;Xu et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Sustainable closed-loop supply chain network under uncertainty: a response to the COVID-19 pandemic

Rafigh

Akbari

Bidhandi

et al. 2021

Environ Sci Pollut Res

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This study proposes a sustainable closed-loop supply chain under uncertainty to create a response to the COVID-19 pandemic. In this paper, a novel stochastic optimization model integrating strategic and tactical decision-making is presented for the sustainable closed-loop supply chain network design problem. This paper for the first time implements the concept of sustainable closed-loop supply chain for the application of ventilators using a stochastic optimization model. To make the problem more realistic, most of the parameters are considered to be uncertain along with the normal probability distribution. Since the proposed model is more complex than majority of previous studies, a hybrid whale optimization algorithm as an enhanced metaheuristic is proposed to solve the proposed model. The efficiency of the proposed model is tested in an Iranian medical ventilator production and distribution network in the case of the COVID-19 pandemic. The results confirm the performance of the proposed algorithm in comparison with two other similar algorithms based on different multi-objective criteria. To show the impact of sustainability dimensions and COVID-19 pandemic for our proposed model, some sensitivity analyses are done. Generally, the findings confirm the performance of the proposed sustainable closed-loop supply chain for the pandemic cases like COVID-19. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-16077-6.

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Enriching SC Models

Framiñán

2021

Modelling Supply Chain Dynamics

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Exploring a two-product unreliable manufacturing system as a capacity constraint for a two-echelon supply chain dynamic problem

Cited by 20 publications

References 79 publications

Assessing the Effect of a Novel Production Control Policy on a Two-Product, Failure-Prone Manufacturing/Distribution Scenario

Assessing the Effect of a Novel Production Control Policy on a Two-Product, Failure-Prone Manufacturing/Distribution Scenario

Sustainable closed-loop supply chain network under uncertainty: a response to the COVID-19 pandemic

Enriching SC Models

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