Robust optimization of risk-aware, resilient and sustainable closed-loop supply chain network design with Lagrange relaxation and fix-and-optimize

2021-12-01
Lotfi, Reza
Sheikhi, Zohre
Amra, Mohsen
AliBakhshi, Mehdi
Weber, Gerhard Wilhelm
This study explores a Robust, Risk-aware, Resilient, and Sustainable Closed-Loop Supply Chain Network Design (3RSCLSCND) to tackle demand fluctuation like COVID-19 pandemic. A two-stage robust stochastic multiobjective programming model serves to express the proposed problems in formulae. The objective functions include minimising costs, CO2 emissions, energy consumption, and maximising employment by applying Conditional Value at Risk (CVaR) to achieve reliability through risk reduction. The Entropic Value at Risk (EVaR) and Minimax method are used to compare with the proposed model. We utilise the Lp-Metric method to solve the multiobjective problem. Since this model is complex, the Lagrange relaxation and Fix-and-Optimise algorithm are applied to find lower and upper bounds in large-scale, respectively. The results confirm the superior power of the model offered in estimating costs, energy consumption, environmental pollution, and employment level. This model and algorithms are applicable for other CLSC problems.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS

Suggestions

Optimal pricing and production decisions in utilizing reusable containers
Atamer, Busra; Bakal, İsmail Serdar; Bayındır, Zeynep Pelin (2013-06-01)
In this study, we focus on pricing and production decisions in utilizing reusable containers with stochastic customer demand. We consider a manufacturer that sells a single product to the customers in reusable containers with two supply options: (i) brand-new containers and (ii) returned containers from customers. The return quantity depends on both customer demand and the acquisition fee determined by the manufacturer. The unit cost of production using brand-new containers is different than the unit cost o...
Optimal Mechanisms to Match Supply and Demand in Contemporary Supply Chains (OPTCHAIN)
Merzifonluoğlu, Yasemin(2016-2-07)
Emerging production and information technologies have increased competition and consumer expectations, this leads to ever-shrinking product life cycles, volatile and unpredictable markets. In addition, natural disasters, accidents, supply disruptions increased the risk in today’s global and long supply chains. Keeping costs down and customers satisfied in a global marketplace requires companies to proactively manage supply and demand using state of art techniques, technologies and practices. This proposal d...
A MULTI OBJECTIVE MODEL FOR OPTIMIZATION OF A GREEN SUPPLY CHAIN NETWORK
PAKSOY, TURAN; Ozceylan, Eren; Weber, Gerhard Wilhelm (2010-02-04)
This study develops a model of a closed-loop supply chain (CLSC) network which starts with the suppliers and recycles with the decomposition centers. As a traditional network design, we consider minimizing the all transportation costs and the raw material purchasing costs. To pay attention for the green impacts, different transportation choices are presented between echelons according to their CO2 emissions. The plants can purchase different raw materials in respect of their recyclable ratios. The focuses o...
Overview of microbes based fabricated biogenic nanoparticles for water and wastewater treatment
Ali, Imran; Peng, Changsheng; Khan, Zahid M.; Naz, Iffat; Sultan, Muhammad; Ali, Mohsin; Abbasi, Irfan A.; Islam, Tariqul; Ye, Tong (Elsevier BV, 2019-01-15)
Treatment of toxic and emerging pollutants (T&EPs) is increasing the threats to the survival of conventional wastewater treatment (WWTs) technologies. The high installation and operational costs of advanced treatment technologies have shifted the research interest to the development of economical and reliable technology for management of T&EPs. Thus, recently biogenic nanoparticles (BNPs) fabricated using microbes/microorganisms are getting tremendous research interest due to their unique properties (i.e. h...
Comparison of Frequency Analysis with Density Based Clustering in Evaluating Extreme Streamflows
Kentel Erdoğan, Elçin(2018-12-31)
Analysis of streamflow data has significant importance concerning sustainable use of water resources, planning supply of short and long term demands. Streamflow, unlike many other completely random variables, is a dependent variable which is closely related to both meteorological (such as precipitation, temperature) and catchment characteristics (such as land use and soil type). Thus inter-dependencies should be taken into consideration while analyzing streamflow. Besides this, while analyzing streamflow da...
Citation Formats
R. Lotfi, Z. Sheikhi, M. Amra, M. AliBakhshi, and G. W. Weber, “Robust optimization of risk-aware, resilient and sustainable closed-loop supply chain network design with Lagrange relaxation and fix-and-optimize,” INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, pp. 0–0, 2021, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/96037.