Multi-Objective Optimization for Green Dual-Channel Supply Chain Network Design Considering Transportation Mode Selection

2020 ◽  
pp. 382-404
Author(s):  
Hong Zhang ◽  
Kuan Yang
Keyword(s):  
Supply Chain ◽  
Environmental Performance ◽  
Mode Selection ◽  
Supply Chain Network ◽  
Transportation Mode ◽  
Trade Off ◽  
Multi Objective ◽  
Dual Channel ◽  
Transportation Mode Selection ◽  
Dual Channel Supply Chain

A well-designed supply chain network should not only meet the efficient cost but also realize the sustainable effect on environment. The purpose of this article is to develop a multi-objective model to capture the trade-off between total cost and environmental performance in the green dual-channel supply chain network. Moreover, the transportation mode has been considered as a decision variable. With regard to the complexity of such network, a new swarm intelligence algorithm known as a multi-objective particle swarm optimization (MOPSO) algorithm has been employed to tackle this problem. The effectiveness of the present model and approach is evaluated by a numerical experiment, and the results show that the added environmental performance is actually proportional with the increased cost. Additionally, the comparison between different mode decisions shows that a better trade-off between two objectives will be obtained when considering the transportation mode selection.

Multi-Objective Optimization for Green Dual-Channel Supply Chain Network Design Considering Transportation Mode Selection

2018 ◽  
Vol 11 (3) ◽  
pp. 1-21 ◽  
Author(s):  
Hong Zhang ◽  
Kuan Yang
Keyword(s):  
Supply Chain ◽  
Environmental Performance ◽  
Mode Selection ◽  
Supply Chain Network ◽  
Transportation Mode ◽  
Trade Off ◽  
Multi Objective ◽  
Dual Channel ◽  
Transportation Mode Selection ◽  
Dual Channel Supply Chain

A well-designed supply chain network should not only meet the efficient cost but also realize the sustainable effect on environment. The purpose of this article is to develop a multi-objective model to capture the trade-off between total cost and environmental performance in the green dual-channel supply chain network. Moreover, the transportation mode has been considered as a decision variable. With regard to the complexity of such network, a new swarm intelligence algorithm known as a multi-objective particle swarm optimization (MOPSO) algorithm has been employed to tackle this problem. The effectiveness of the present model and approach is evaluated by a numerical experiment, and the results show that the added environmental performance is actually proportional with the increased cost. Additionally, the comparison between different mode decisions shows that a better trade-off between two objectives will be obtained when considering the transportation mode selection.

scholarly journals Optimizing a bi-objective location-allocation-inventory problem in a dual-channel supply chain network with stochastic demands

2021 ◽  
Author(s):  
Aida Rezaei ◽  
Tina Shahedi ◽  
Amir Aghsami ◽  
Fariborz Jolai ◽  
Hamidreza Feili
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Test Problems ◽  
Supply Chain Network ◽  
Periodic Review ◽  
Inventory Problem ◽  
Location Allocation ◽  
Dual Channel ◽  
Grasshopper Optimization Algorithm ◽  
Dual Channel Supply Chain

Integrating strategic and tactical decisions to location-allocation and green inventory planning by considering e-commerce features will pave the way for supply chain managers. Therefore, this study provides an effective framework for making decisions related to different levels of the dual-channel supply chain. We provide a bi-objective location-allocation-inventory optimization model to design a dual-channel, multi-level supply chain network. The main objectives of this study are to minimize total cost and environmental impacts while tactical and strategic decisions are integrated. Demand uncertainty is also addressed using stochastic modeling, and inventory procedure is the periodic review . We consider many features in inventory modeling that play a very important role, such as lead time, shortage, inflation, and quality of raw materials, to adapt the model to the real conditions. Since a dual-channel supply chain is becoming more important for sustainable economic development and resource recovery, we combine online and traditional sales channels to design a network. We generate five test problems and solve them by using the augmented ε-constraint method. Also, the Grasshopper optimization algorithm was applied to solve the model in a reasonable time for a large size problem. In order to provide managerial insights and investigate the sensitivity of variables and problem objectives with respect to parameters, sensitivity analysis was performed.

scholarly journals Sustainable Supply Chain Network Design with Carbon Footprint Consideration: A Case Study in China

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Yue Jiang ◽  
Yang Zhao ◽  
Mengyuan Dong ◽  
Shuihua Han
Keyword(s):  
Supply Chain ◽  
Carbon Footprint ◽  
Mode Selection ◽  
Technology Selection ◽  
Mixed Integer ◽  
Supply Chain Network ◽  
Sustainable Supply Chain ◽  
Transportation Mode Selection ◽  
Material Procurement ◽  
The Impact

With the environment concern increasing, corporations are facing new challenges on carbon management in supply chain network. In this paper, environmental consideration is introduced to traditional supply chain management, and the sustainable supply chain (SSC) is designed considering carbon footprint. We develop a mixed integer linear programming (MILP) model to get the optimal decisions on partner selection, technology selection, and transportation mode selection, as well as material procurement, product supply, and recovery mode. For validating the model, a beverage company in China is used. We also analyze the impact of supply chain uncertainties such as carbon emission price and recovery rate of returned products on the decision of SSC design.

scholarly journals Designing a dual-channel supply chain network considering dependent demand and discount

2020 ◽  
Author(s):  
Fatemeh Fatemeh Askarian Amiri ◽  
Mohammad Mahdi Paydar ◽  
Abdul Sattar Safaei
Keyword(s):  
Supply Chain ◽  
Distribution System ◽  
Sensitivity Analyses ◽  
Model Parameters ◽  
Supply Chain Network ◽  
Dual Channel ◽  
Proposed Model ◽  
Dual Channel Supply Chain ◽  
Direct Market

Nowadays, organizations are faced with the growth of markets, satisfying customers’ demand and empowering in competing with rivals imposed new communication channels.  Along with the rapid advancement of the Internet, many suppliers are interested in creating an electronic channel in addition to the traditional retailer channel for direct market participation. This distribution system which includes retailer channels and direct channels is called a dual-channel supply chain. This study reviews a leather supply chain network that has created a discounted online channel to expand its market share. In this study, a multi-period multi-product mathematical model is developed to maximize the profit and examine the effect of different discount schemes on demand and sales. To verify the proposed model, a real-world case study is conducted. The sensitivity analyses examined the important model parameters. The obtained results show that the responsiveness of the main retailers could be more than 95%. According to the sensitivity analysis, an appropriate discount rate is reported in the direct channel.

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