Supply chain network reconfiguration in new products launching phase

Jahani, Hamed; Abbasi, Babak; Alavifard, Farzad

doi:10.1109/ieem.2017.8289858

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Given these tips, this paper aimed to identify a new model for a multiechelon, multi-product, multi-source, and multi-period optimization model for Supply Chain (SC) con guration and NPD with risk management. To determine the adequate SC con guration, three levels of decision should be made, namely strategic, tactical, and operational, to optimize the expected pro t, level of risk, and consumer satisfaction based on the classi cations discussed in [20,10,7]. The strategic decisions involved the quantity and place of distribution centers for distributing new products.…”

Section: Discussionmentioning

confidence: 99%

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Supply Chain Reconfiguration for a New Product Development with Risk Management Approach

2019

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Nowadays, innovation is increasingly growing and the lifetime of products is decreasing. In this situation, New Product Development (NPD) is an advantage that makes it possible to survive in the competitive market. However, risks are unavoidable in NPD in any industry. Therefore, identifying, management, and mitigation of risks are considered of high signi cance for companies. By taking risk management into account, this study introduces a new multi-objective mathematical model for Supply Chain (SC) con guration in the presence of a new product. The considered SC is multi-echelon, multi-resource, multi-period, and multi-product. In order to manage the risk in this SC, appropriate mitigation strategies were chosen among various risk response strategies considering their cost and e ectiveness. Furthermore, in uence of each choice on SC was accounted for in the mathematical model. The assumed model explored the optimum tactical and operational Supply Chain Management (SCM) decisions. The ability of the model was assessed by solving a numerical example. The result showed that the choice of various response strategies as well as new product production in uenced SC con guration.

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Section: Discussionmentioning

confidence: 99%

“…A deterministic Mixed-Integer Linear Programming (MILP) model was employed for a multiechelon SC. Jahani et al [20] recon gured an existing supply change network structure in which new products were launched to the market. They also considered correlation between demand and price in the markets.…”

Section: Literature Review 21 Npd and Sc Con Gurationmentioning

confidence: 99%

Supply Chain Reconfiguration for a New Product Development with Risk Management Approach

2019

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“…The inventory hedging tactic is described as excess inventory carried by the nodes to hedge against network disruptions and supply chain risks. This is often not ideal for perishable products, as its adoption may lead to significant losses under a disruption-free scenario ( Marcello et al, 2014 , Jahani et al, 2017 ). Other contexts may not be ideal to crisis-induced vaccine supply chains for the following reasons ( Seib et al, 2012 ):…”

Section: Literature Reviewmentioning

confidence: 99%

COVID-19 vaccine distribution planning using a congested queuing system—A real case from Australia

Jahani¹,

Chaleshtori²,

Khaksar³

et al. 2022

Transportation Research Part E: Logistics and Transportation Re

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“…Inquiry on multiple dimensions of stability is very important, because these dimensions simultaneously affect each other and the stability performance (Homayouni et al, 2021). Waste (Ayvaz et al, 2015), Development of new products (Jahani et al, 2017), and humanitarian procurement is considered. On the other hand, with more consumer awareness of environmentally friendly products, adopting ways to reduce adverse environmental impacts on production activities has become essential.…”

Section: Introductionmentioning

confidence: 99%

A neutrosophical model for optimal sustainable closed-loop supply chain network with considering inflation and carbon emission policies

Kalantari

Kazemipoor

Sobhani

et al. 2022

Decis. Mak. Appl. Manag. Eng.

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In this paper, a stable CLSC problem is modeled in conditions of uncertainty and indeterminacy. The SCN is designed to maximize NPV and minimize carbon releases by maintaining environment friendly policies and accounting for increase. To achieve a suitable model for designing a stable CLSCN and making important decisions such as selecting the right suppliers, selecting the type of transport, initial the facility, the optimal flow between facilities and accomplishing an efficient solution to the problem decision making, the neutrosophic optimization method is used. The results of experiments that discuss and evaluate different scenarios confirm the efficiency and validity of the proposed model. The findings also show that the effective improvement of the obtained solutions by reducing the solution time up to twenty percent can be responsible for large-scale problems in different scenarios. This paper uses a neutrosophic optimization method to solve the problem of designing a stable CLSCN under uncertainty and indeterminacy.

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Supply chain network reconfiguration in new products launching phase

Cited by 8 publications

References 12 publications

Supply Chain Reconfiguration for a New Product Development with Risk Management Approach

Supply Chain Reconfiguration for a New Product Development with Risk Management Approach

COVID-19 vaccine distribution planning using a congested queuing system—A real case from Australia

A neutrosophical model for optimal sustainable closed-loop supply chain network with considering inflation and carbon emission policies

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