Optimizing decentralized production–distribution planning problem in a multi-period supply chain network under uncertainty

Nourifar, Raheleh; Mahdavi, Iraj; Mahdavi–Amiri, Nezam; Paydar, Mohammad Mahdi

doi:10.1007/s40092-017-0229-3

Cited by 20 publications

(10 citation statements)

References 43 publications

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“…Another stochastic model for the design of RdM networks was developed in (Mac Gregor and Kerbache 2017) where the authors used queueing theory to provide location and allocation decisions through a stochastic mixed integer nonlinear program (MINLP) in RdM settings. A fuzzy multi-period two-stage stochastic mixed integer linear program (MILP) for strategic and tactical decisions in RdM systems was developed in (Nourifar et al 2018) where the model was solved using a heuristic algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of redistributed manufacturing networks: a model-based decision-making framework

Haddad

Salonitis

Emmanouilidis

2021

International Journal of Computer Integrated Manufacturing

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In this paper, a decision-making framework for the design of redistributed manufacturing (RdM) networks is developed. Redistributed manufacturing, a manufacturing paradigm greatly empowered by the Industry 4.0 toolset, is the shift in production towards geographically dispersed interconnected facilities. The framework is context independent, accounts for the collective impact of all decision-making levels on one another in an iterative manner, and incorporates uncertainty. The framework has been applied to a case study in the aerospace spare parts production sector. Results indicated that the RdM paradigm demonstrated considerable improvements in service level when compared with a traditional centralized counterpart, while it was not as competitive with regards to total cost. This paper contributes to the literature on model-based distributed manufacturing systems design under uncertainty, and enables informed decision-making regarding the redistribution of resources and decentralization of decision-making. The novelty of this paper is the approach employed to handle complexity, nonlinear interrelationships and uncertainty, within the domain of RdM network design. These computationally demanding attributes are handled through simulation, and only their impact is passed back to an analytical model that generates the RdM network.

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Section: Literature Reviewmentioning

confidence: 99%

Design of redistributed manufacturing networks: a model-based decision-making framework

Haddad

Salonitis

Emmanouilidis

2021

International Journal of Computer Integrated Manufacturing

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“…Much research has been conducted in the context of the decentralized supply chain. Just as Nourifar et al (2018) put it, the decentralized supply chain structure is significantly relevant in today's competitive markets. In a decentralized supply chain, each firm decides its own strategy to maximize its profit.…”

Section: Decentralized Supply Chain Structure Including Ms and Rs Modelmentioning

confidence: 99%

Original design manufacturer's warranty strategy when considering retailers' brand power under different power structures

Lou

Feng

et al. 2020

Int Trans Operational Res

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In recent years, the original design manufacturer (ODM) has increasing interests in multichannel cooperation with different retailers. This paper considers the problem in which the ODM cooperates with two competing retailers. The manufacturer produces two substitute products and markets them through two competing retailers. For both products, the manufacturer bundles them with basic warranties and the retailers brand them with their own branding. We quantitatively model the product demands and derive the optimal decisions under two common supply chain power structures: manufacturer Stackelberg and retailer Stackelberg. We observe that when the competition between the two retailers becomes fiercer, the manufacturer charges more for both products, the product substitutability and supply chain power structures do not affect the products' price and warranty decisions, and there does exist a brand ratio interval in which the product branded by the high-reputation retailer will not get a better warranty from the manufacturer, violating the signalization of the warranty. The leader gets the power to get higher profit while the total profit of the whole supply chain remains the same under both power structures.

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“…Now the ideal state of a two-stage supply chain is considered with one manufacturer and one retailer. Suppose the manufacturer adopts JIT production mode and has unlimited productivity [23,24]. Retailers adopt (0, Q) inventory strategy, that is, when inventory drops to 0, order to restore inventory to Q.…”

Section: Cost Comparison Model In Joint Inventorymentioning

confidence: 99%

Supply Chain Joint Inventory Management and Cost Optimization Based on Ant Colony Algorithm and Fuzzy Model

Hou

Xia

et al. 2019

Teh. vjesn.

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With the advancement of the marketization process, inventory management has transformed from a single backup protection function to an essential function for enterprises, which helps to survive and develop. Inventory control in supply chain management is the important content of supply chain management. The new management mode makes inventory management present many new characteristics and problems compared with traditional inventory management. From the view of system theory and integration theory, it is imperative to reexamine the problem of inventory control, put forward new inventory management strategies adapted to integrated supply chain management, and improve the integration of the whole supply chain, which can enhance the agility and market response speed of enterprises. Based on the in-depth study of the joint inventory management model, this paper analyzed the current situation of the joint inventory management to optimize the inventory. In view of the achievements and shortcomings of the current research, a more systematic and improved optimization model of the supply chain inventory was proposed by using the basic ideas of ant colony algorithm and fuzzy model.

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Optimizing decentralized production–distribution planning problem in a multi-period supply chain network under uncertainty

Cited by 20 publications

References 43 publications

Design of redistributed manufacturing networks: a model-based decision-making framework

Design of redistributed manufacturing networks: a model-based decision-making framework

Original design manufacturer's warranty strategy when considering retailers' brand power under different power structures

Supply Chain Joint Inventory Management and Cost Optimization Based on Ant Colony Algorithm and Fuzzy Model

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