Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Cao, Cejun; Li, Congdong; Qin, Yang; Zhang, Fanshun

doi:10.3390/su9112103

Cited by 56 publications

(40 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For instance, Lee & Tang explored new operations management problems from the point of view of stakeholders [21]. Jaehn proposed the concept of sustainable operations [22], and Cao et al studied the emergency resource allocation problem based on the beneficiary perspective on sustainability [23,24]. The aforementioned research provides support for this paper.…”

Section: Literature Reviewmentioning

confidence: 70%

A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective

Qin

Liu

et al. 2019

Sustainability

Self Cite

View full text Add to dashboard Cite

With regard to task distribution in a ridesharing company, both the suitability of the tasks assigned to the drivers and the acceptability of the riders receiving the service should be simultaneously considered to improve the sustainability regarding Hitch services. Firstly, the process of the bi-directional choice between the drivers and the riders is described as a one-to-one two-sided matching problem. Next, prospect theory is used to characterize the psychological perceived behavior of both sides towards the matching scheme under the multiple criteria. Thus, the suitability function concerning the drivers and the acceptability function regarding the riders are naturally constructed. Following this, a two-sided matching decision model with two objectives is proposed. Finally, numerical experiments are presented to verify the feasibility and effectiveness of the proposed model. Besides, managerial insights associated with how to set the optimization objectives under unbalanced supply-demand in ridesharing companies are given. Increasingly, this paper aims to not only validate the proposed methodology, but also to highlight the importance and urge of incorporating sustainability into the task distribution problem in ridesharing.

show abstract

Section: Literature Reviewmentioning

confidence: 70%

A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective

Qin

Liu

et al. 2019

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…In view of these factors mentioned above, manufacturers may be incentivized to invest in sustainable or low-carbon technology to reduce carbon emissions, and use cleaner energy and eco-friendly materials [44]. Furthermore, Cao et al [45] and Cao et al [46] clarified that environmental sustainability (e.g., carbon emissions) should be integrated into the decisions (e.g., emergency organization allocation, relief distribution) regarding sustainable humanitarian supply chains.…”

Section: Literature On Low-carbon Preference In Supply Chain Managementmentioning

confidence: 99%

Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing

et al. 2019

Self Cite

View full text Add to dashboard Cite

In the era of the sharing economy, the rise of production capacity sharing has changed traditional manufacturing modes and broken the balance of original production systems. In addition to that environmental-friendly manufacturing enterprises are of great significance with regard to production capacity sharing and sustainable development of the ecology environment. To investigate the decision-making behaviors of the participants involved in low-carbon production capacity sharing, an evolutionary game model taking into account the platforms, manufacturing enterprises with idle production capacity, and those with demanding production capacity is constructed. Then, both evolutionary game theory and Lyapunov stability theorem are used to analyze the asymptotic stability of the equilibrium and evolutionary stability strategies of the system. Besides, the economic and managerial significance of the evolutionary stability strategy is given. Finally, the influence of low-carbon production capacity of enterprises on the stability of the dynamic system is discussed, such as the cost effect of low-carbon production capacity, the effect of transaction cost, and so on. Results indicate that they can provide theoretical reference for decision-making with respect to the platforms, manufacturing enterprises, and sustainable development of the dynamic system.

show abstract

“…The social benefits are economic welfare and growth, stakeholder responsibility, extended producer responsibilities, and employment practices. Cao et al [59] presented a multi-objective 0-1 integer programming model for the disaster supply chain. They considered all three dimensions of sustainability in their forward network, and designed a branch and bound approach to solve it.…”

Section: Scnd Problem Considering Sustainabilitymentioning

confidence: 99%

A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability

Zhang

Zhao

et al. 2019

Sustainability

View full text Add to dashboard Cite

Supply chain network design (SCND) is an important strategic decision determining the structure of each entity in the supply chain, which has an important impact on the long-term development of a company. An efficient and effective supply chain network is of vital importance for improving customer satisfaction, optimizing the allocation of resources, and increasing profitability. The environmental concerns and social responsibility awareness of the whole society have spurred researchers and managers to design sustainable supply chains (SSCs) integrating the economic, environmental, and social factors. In addition, the innate uncertainty of the SCND problem requires an integrated method to cope. In this regard, this study develops a multi-echelon multi-objective robust fuzzy closed-loop supply chain network (CLSCN) design model under uncertainty including all three dimensions of sustainability. This model considers the total cost minimization, carbon caps, and social impact maximization concurrently to realize supply chain sustainability, and is able to make a balance between the conflicting multiple objectives. Meanwhile, the uncertainty of the parameters is divided into two categories and addressed with two approaches: the first category is missed working days related to social impact, which is solved by the fuzzy membership theory; the second category is the demand and remanufacturing rate, which is settled by a robust optimization method. To validate the ability and applicability of the model and solution approach, a numerical example is conducted and solved using ILOG CPLEX. The result shows that the supply chain network structure and the value of the optimization objectives will change when considering sustainability and different degrees of uncertainty. This will enable supply chain managers to reduce the environmental impact and enhance the social benefits of their supply chain activities, and design a more stable supply chain to better cope with the influence of uncertainty.

show abstract

Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Cited by 56 publications

References 51 publications

A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective

A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective

Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing

A Robust Fuzzy Optimization Model for Closed-Loop Supply Chain Networks Considering Sustainability

Contact Info

Product

Resources

About