2019
DOI: 10.1080/23302674.2019.1570381
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Optimal pricing and remanufacturing decisions for a fuzzy dual-channel supply chain

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Cited by 17 publications
(12 citation statements)
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“…The cumulative distribution function is F(x). Assume that the retailer's prediction of product demand has an impact on the psychological selection behaviours of buyers of fresh and live products [3]. When we make demand forecasts, we will be more convinced of the impact of retail prices and quality investments on demand.…”
Section: Basic Assumptions and Model Establishmentmentioning
confidence: 99%
“…The cumulative distribution function is F(x). Assume that the retailer's prediction of product demand has an impact on the psychological selection behaviours of buyers of fresh and live products [3]. When we make demand forecasts, we will be more convinced of the impact of retail prices and quality investments on demand.…”
Section: Basic Assumptions and Model Establishmentmentioning
confidence: 99%
“…Huang [44] developed the models for remanufacturing with a trade-in strategy to determine the equilibrium decisions in a CLSC consisting of one producer and two contending retailers. Karimbadi et al [45] presented the game models that determine the pricing and remanufacturing decisions in a Fuzzy CLSC with one manufacturer, two retailers, and one third-party collector. They also explained that the manufacturer earns more profit as a Stackelberg leader.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They analyzed the impact of centralized Nash policies, manufacturer Stackelberg policies, and vertical Nash policies on these factors. Karimabadi et al investigated the optimal decision-making process in a two-channel remanufacturing supply chain, examining wholesale price, retail price, direct price, and remanufacturing effort under both the centralized decision model and decentralized decision model [28]. The analysis in this study utilized fuzzy theory and game theory to investigate the impact of demand uncertainty on inter-firm competition in the supply chain.…”
Section: Introductionmentioning
confidence: 99%
“…However, previous studies by Pal et al and Karimabadi et al did not take into account the attitudes or preferences of decision-makers. In practical supply chain management, decision-makers' attitudes play a crucial role and can significantly influence final decision outcomes [27,28]. Therefore, it is necessary to consider decision-makers' attitudes towards supply chain risks and study the operational decision-making process of supply chain members and its evolution.…”
Section: Introductionmentioning
confidence: 99%