Integrated and Dynamic Design of Sustainable Closed-loop Supply Chain Network Considering Pricing

Abstract

KEYWORDSDynamic supply chain network design; Integrated planning; Sustainability; Pricing; Pareto-based multi-objective metaheuristic algorithm.Abstract. In this paper, a novel multi-objective model for dynamic and integrated network design of sustainable closed-loop supply chain network is proposed, which aims to optimize economic, environmental, and social concerns, simultaneously. In order to have a dynamic design, multiple strategic periods are considered during the planning horizon. Furthermore, di erent short-term decisions are integrated with long-term decisions related to the network design problem. Two of these short-term decisions determine selling price of products in forward logistics and buying price of used products from customer zones in reverse logistics. Due to the complexity of the proposed multi-objective model, a MultiObjective Imperialist Competitive Algorithm (MOICA) is proposed to solve the model, and the results are compared with a non-dominated sorting genetic algorithm (NSGA-II). Finally, to evaluate the performance of proposed algorithm, several numerical examples are used of which the results indicate the e ciency of the proposed algorithm.

Sustainability assessment in circular inter-firm networks: An integrated framework of industrial ecology and circular supply chain management approaches

“…Another frequent combination is mathematical programming models and heuristic approaches, such as algorithms. While models are based on MILP (Devika et al, 2014;Nobari and Kheirkhah, 2018;Rezaei and Kheirkhah, 2018), MINLP (Hajiaghaei-Keshteli and Fathollahi Fard, 2019;Sarkar et al, 2017), and fuzzy multi-objective integer linear programming (Pourjavad and Mayorga, 2018), they are all solved with algorithms to minimise costs and negative social and environmental impacts. In one case, the MILP and the algorithm are also combined with a system dynamics model (Sudarto et al, 2017), while in another, the mathematical model, optimising environmental and economic costs, uses a system dynamics approach to anticipate environmental effects (Wang and Gunasekaran, 2015).…”

“…Devika et al (2014);Hajiaghaei-Keshteli and Fathollahi Fard (2019);Nobari and Kheirkhah (2018);Pourjavad and Mayorga (2018);Rezaei and Kheirkhah (2018); Sarkar et al (2017); Sudarto et al (2017) a,b Multi-criteria decision-making Hervani et al (2005) Simulations Asif et al (2016); Dong et al (2017b); Golroudbary and Zaharaee (2015) Analytical models Büyük€ ozkan and Çifçi (2013); Johari and Hosseini-Motlagh (2019); Modak et al (2019)…”

Multi-Period Configuration of Forward and Reverse Integrated Supply Chain Networks with the Choice of Transport Mode

“…Lin et al (2006) [4], Du and Evans (2008) [5], Mehdizadeh et al (2013) [6], Mirmajlesi and Shafaei (2016) [7], Taleizadeh and Sadeghi (2018) [8], and Fathollahi Fard and Hajaghaei-Keshteli (2018) [9] focused on the number of supply chain echelons. Some other researchers such as Badri et al (2013) [10] and Nobari and Kheirkhah (2018) [11] based their investigations on the number of programming periods. Multi-product systems have also become an eye-catching interest to researchers [4,10].…”

A holistic framework for lot sizing problem in fast-moving perishable products

“…In today's competitive manufacturing scenario, managers need to fulfill the needs of customers at low cost with less environmental impact. Due to increased technological advancements in the manufacturing world, the requirements of customers are changing at a rapid rate very frequently, with increased expectation level of customer [1]. Design and implementation of appropriate supply chain (SC) network to a greater extent may provide competitive advantages to manufacturing industries, thus leading moving perishable products have high environmental impact (pollution), which is a major concern for optimizing lot sizing problem for perishable products.…”