An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network

2020 ◽  
Vol 260 ◽  
pp. 120842 ◽  
Author(s):  
Mehdi Biuki ◽  
Abolfazl Kazemi ◽  
Alireza Alinezhad
Keyword(s):  
Supply Chain ◽  
Sustainable Design ◽  
Inventory Model ◽  
Perishable Products ◽  
Supply Chain Network ◽  
Location Routing

A multi-objective model for sustainable closed-loop supply chain of perishable products under two carbon emission regulations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saman Esmaeilian ◽  
Dariush Mohamadi ◽  
Majid Esmaelian ◽  
Mostafa Ebrahimpour
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Life Cycle ◽  
Carbon Emission ◽  
Closed Loop ◽  
Perishable Products ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Content Type ◽  
Trade Model

Purpose This paper aims to minimize the total carbon emissions and costs and also maximize the total social benefits. Design/methodology/approach The present study develops a mathematical model for a closed-loop supply chain network of perishable products so that considers the vital aspects of sustainability across the life cycle of the supply chain network. To evaluate carbon emissions, two different regulating policies are studied. Findings According to the obtained results, increasing the lifetime of the perishable products improves the incorporated objective function (IOF) in both the carbon cap-and-trade model and the model with a strict cap on carbon emission while the solving time increases in both models. Moreover, the computational efficiency of the carbon cap-and-trade model is higher than that of the model with a strict cap, but its value of the IOF is worse. Results indicate that efficient policies for carbon management will support planners to achieve sustainability in a cost-effectively manner. Originality/value This research proposes a mathematical model for the sustainable closed-loop supply chain of perishable products that applies the significant aspects of sustainability across the life cycle of the supply chain network. Regional economic value, regional development, unemployment rate and the number of job opportunities created in the regions are considered as the social dimension.

scholarly journals An Application of Possibilistic Moments of Nonlinear Type of Fuzzy Numbers in Supply Chain Management

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Srimantoorao S. Appadoo ◽  
Yuvraj Gajpal ◽  
Amit Kumar
Keyword(s):  
Stochastic Process ◽  
Probability Theory ◽  
Supply Chain ◽  
Fuzzy Numbers ◽  
Network Modeling ◽  
Inventory Model ◽  
Supply Chain Network ◽  
International Level ◽  
Chain Management ◽  
Network Failure

The supply chain (SC) network is prone to disturbance due to various uncertainties associated with their subsystems. The COVID-19 outbreak has exposed the global vulnerability of the supply chain network. The current pandemic has severely affected almost every SC network because its members are situated at the international level. One of the reasons for SC network failure is the deterministic assumptions of different parameters. A realistic SC network model requires the use of the uncertain value of the parameters, which can be further captured by fuzzy numbers. This paper discusses the possibilistic moment of several nonlinear types of fuzzy numbers that are important for SC network modeling. We give closed-form possibilistic moments’ expression for various types of fuzzy numbers that are very similar to the moment’s properties in probability theory and stochastic process. We then illustrate the application of proposed fuzzy numbers by solving an inventory model. This paper also provides results related to the EPQ inventory model in a fuzzy possibilistic setup.

Sustainable design of on-demand supply chain network for additive manufacturing

2019 ◽  
Vol 51 (7) ◽  
pp. 744-765 ◽  
Author(s):  
Sudipta Chowdhury ◽  
Omid Shahvari ◽  
Mohammad Marufuzzaman ◽  
Jack Francis ◽  
Linkan Bian
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Sustainable Design ◽  
Supply Chain Network ◽  
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