# Dual Market Facility Network Design under Bounded Rationality
## 2 Literature Review
[PERSON] decomposition method is also utilized in project time compression problems in Critical Path Method (CPM)/Programme Evaluation Review Technique (PERT) networks, by approximating the convex or concave activity cost-duration functions to piecewise linear time cost curves ([PERSON] et al., 2019). The Frank-Wolfe algorithm is used to solve quadratic programming problems with linear constraints ([PERSON] et al., 2019). [PERSON] et al. (2019) investigated a plant allocation and inventory level decisions for serving global supply chains and revealed that the importing firm escalates its inventory level if the transportation cost increases or the exchange rate of the inventory country lessen. The result of this study has been empirically confirmed using data of Korean firms yielded from the Export-Import Bank of Korea. [PERSON] et al. (2019) studied the relationship-based product innovation in global supply chains where this research offered a context-based explanation for the contradictory and conflicting empirical indication with respect to relational capital innovation links. In another study, a single period inventory model has been proposed to encapsulate the trade-off between inventory policies and disruption risks considering the scenario of dual-sourcing supply chain ([PERSON] et al., 2019). [PERSON] et al. (2019) examined multiple-attribute decision making using Pythagorean 2-tuple linguistic numbers, and proposed two operators, namely, Pythagorean 2-tuple linguistic weighted Bonferroni mean (WBM) and Pythagorean 2-tuple linguistic weighted geometric Bonferroni mean (WGBM). Further, the effectiveness of this approach is verified considering the green supplier selection problem. [PERSON] et al. (2019) developed a greedy insertion heuristic algorithm using a multi-stage filtering mechanism comprising coarse granularity and fine granularity filtering for ameliorating the energy efficiency of single machine scheduling problems. A two-product, multi-period newsvendor problem has been formulated by [PERSON] and [PERSON] (2019) considering fixed demand. In addition, this research used the online learning method for performing the experiment, and also proposed real and integer valued online ordering policies. [PERSON] and [PERSON] (2019) presented an extended version of the newsvendor model to fulfil all demands of the customer by the supplier. This model particularly minimizes the total cost comprising setup, obsolete inventory and inventory holding costs. Furthermore, the model has been developed considering the decentralized setting using asymmetric information of customer and supplier. [PERSON] and [PERSON] (2019) summarized several methods of modeling customer bounded rationality and also surveyed implementation of approaches with respect to appropriate operations management settings. In a dyadic supply chain, [PERSON] et al. (2019) examined fairness preferences especially individuals' psychological understanding. Moreover, to formulate the fairness concerns, they used Nash bargaining solution as fairness reference. [PERSON] et al. (2019) developed a systematic methodology to obtain boundedly rational user equilibria (BRUE) solutions for networks with fixed demands that assist in predicting BRUElink traffic flow patterns in a given network to guide planners for making network design decisions accordingly when travellers behave boundedly rational. [PERSON] and [PERSON] [32] presented a comprehensive review of models as well as methodologies of bounded rationality route choice behavior. The models are mainly divided into two parts: substantive and procedural bounded rationality models. While methodologies applied on these two models are game theory and interactive congestion game for substantive bounded rationality, and random utility and non- or semi-compensatory for procedural bounded rationality.