ABSTRACT
This chapter presents a goal programming (GP)-based model. The model addresses an environmentally conscious manufacturing and product recovery (ECMPRO)-related problem within a closed-loop supply chain. There are three goals in the proposed GP model: maximize the total profit in the closed-loop supply chain (PCSC), maximize the revenue from recycling (RRLC), and minimize the number of disposed items (NDSP). The preemptive GP model proposed by P. Imtanavanich and S. M. Gupta considered stochastic disassembly yields. The advanced remanufacturing-to-order and disassembly-to-order system analyzed by O. Ondemir and Gupta used the life cycle data collected, stored, and delivered by the Internet of things. Gupta and G. W. Evans considered multiple products and operations in their non-preemptive GP model developed for the operational planning of closed-loop supply chains. The closed-loop supply chain considered in this chapter involves two collection centers, two production facilities, three demand centers, and two product types.
