Pricing and assembly rate decisions for a prefabricated construction supply chain under subsidy policies

Prefabricated construction has attracted worldwide concern and promotion due to its environmental friendliness, high quality, and high efficiency. In China, the application of prefabricated construction still lags due to its high cost. To improve prefabricated construction development, the Chinese government and provinces have launched subsidy policies for different objects that offer subsidies to the assembler, the manufacturer, or consumers. Subsidy policies for different subsidy objects have different impacts on the manufacturer wholesale price and assembler retail price and assembly rate and make their decisions more complicated. Therefore, this study uses game theory and builds three models to analyze the effects of government subsidies on manufacturer pricing, assembler pricing, assembly rate decisions, and profit. We find that government subsidy policies can bring more profit to prefabricated construction enterprises, reduce their costs, and benefit the promotion of prefabricated construction. Through comparison and numerical analysis, we also find that when the government subsidizes enterprises more, it is better to subsidize the assembler, because it is good for all three parties. First, consumers can obtain a lower retail price. Second, enterprises can obtain more profits. Finally, for the government, this approach can increase the demand for prefabricated construction and increase the assembly rate, which is conducive to the promotion of prefabricated construction. When the government subsidizes customers more, it is better for the assembler and the manufacturer to subsidize customers, because they can obtain more profits. It is better for the government and customers to subsidize the assembler or the manufacture, because consumers can get the lower retail price. Although the assembly rate and enterprises’ profits are not optimal, they have also been improved. In addition, when the government directly subsidizes enterprises, the enterprises will actively cooperate with the subsidy policy and are more willing to adopt prefabricated construction. This approach will benefit the promotion of prefabricated construction.

Design Crowdsourcing Supply Chain in Short Life Cycle Products

Design crowdsourcing is the largest open innovation model that can create value with potential consumers. It offers an opportunity to quickly respond to the market by obtaining instant designs from the crowd, freelancing designers with fundamental skills. In addition, it can secure globally innovative competitiveness without financial burden, which is more effective to start-up companies and small and medium enterprises (SMEs) in the field of seasonal product industry. Developing standardized design crowdsourcing supply chain processes and mathematical models is essential to respond to market trends and customer needs in the seasonal product industry. This study has been carried out to determine the best mechanism in the design crowdsourcing supply chain and coordinate each supply chain member whose desires meet each other. Thus, we identify contracts under which conditions can coordinate the crowdsourcing supply chain by a newsvendor model with a manufacturer and a retailer with a crowdsourcing platform. To see that, we study the coordination of the crowdsourcing supply chain through the following contracts: wholesale price, buy-back, and revenue sharing contract. For the forecasting, we present a framework of the design crowdsourcing supply chain and compare supply chain performance under crowdsourcing supply chain coordination. The summarized result shows that the wholesale price contract cannot coordinate the crowdsourcing supply chain efficiently. In contrast, buy-back and revenue sharing contracts can coordinate the crowdsourcing supply chain.

Pricing and quality decisions in a supply chain with consumers' privacy concern

<p style='text-indent:20px;'>This study considers a supply chain consists of one manufacturer produces a product with a quality level and sells it through one retailer. A stylized model is developed to investigate the impacts of consumers' privacy concerns on pricing, quality decisions, and profitability through the relationship between product quality and personal information. When consumers' privacy concern is considered, the product quality level, the wholesale price, the payoffs of the manufacturer and retailer, and consumer surplus decrease with the personal information loss, whereas the selling price increases if this loss is low. Our results also show that the retailer prefers to charge a high selling price if the information benefit and the personal information loss are low, or the information benefit is relatively high. Moreover, a "win-win-win" outcome can be achieved among the manufacturer, retailer, and consumers if the personal information loss is sufficiently low. In the case of quality-differentiated products, however, although the manufacturer improves the product quality level, the wholesale prices are increased if the information benefit and the personal information loss are low, or the information benefit is high.</p>

EXPRESS: Service Provision in Distribution Channels

Consumers may need help using an inherently complex product after purchase. This paper studies a manufacturer’s and a retailer’s incentives to provide pre-sales service and after-sales support in a distribution channel. The authors consider a model in which a manufacturer makes wholesale-price and channel-service decisions. Subsequently, a retailer makes retail-price and channel-service decisions. They find that, in the equilibrium, both channel members provide pre-sales service. If the fixed-cost investment needed to enhance the effectiveness of after-sales support is small, the manufacturer lets the retailer provide after-sales support. But when it is above a threshold and the retailer becomes unwilling to invest in providing after-sales support, the manufacturer steps in and invests in providing it. As expected, when the fixed cost is too large, the manufacturer also opts out of providing after-sales support. Interestingly, when the retailer provides after-sales support, the level of pre-sales service and the demand for after-sales support can simultaneously be the highest among all configurations. Finally, the authors demonstrate the robustness of their main results by studying alternative channel-service configurations.

Coordination of Multiechelon Supply Chains Using the Guaranteed Service Framework

Problem definition: We use the guaranteed service (GS) framework to investigate how to coordinate a multiechelon supply chain when two self-interested parties control different parts of the supply chain. For purposes of supply chain planning, we assume that each stage in a supply chain operates with a local base-stock policy and can provide guaranteed service to its customers, as long as the customer demand falls within certain bounds. Academic/practical relevance: The GS framework for supply chain inventory optimization has been deployed successfully in multiple industrial contexts with centralized control. In this paper, we show how to apply this framework to achieve coordination in a decentralized setting in which two parties control different parts of the supply chain. Methodology: The primary methodology is the analysis of a multiechelon supply chain under the assumptions of the GS model. Results: We find that the GS framework is naturally well suited for this decentralized decision making, and we propose a specific contract structure that facilitates such relationships. This contract is incentive compatible and has several other desirable properties. Under assumptions of complete and incomplete information, a reasonable negotiation process should lead the parties to contract terms that coordinate the supply chain. The contract is simpler than contracts proposed for coordination in the stochastic service (SS) framework. We also highlight the role of markup on the holding costs and some of the difficulties that this might cause in coordinating a decentralized supply chain. Managerial implications: The value from the paper is to show that a simple contract coordinates the chain when both parties plan with a GS model and framework; hence, we provide more evidence for the utility of this model. Furthermore, the simple coordinating contract matches reasonably well with practice; we observe that the most common contract terms include a per-unit wholesale price (possibly with a minimum order quantity and/or quantity discounts), along with a service time from order placement until delivery or until ready to ship. We also observe that firms need to pay a higher price if they want better service. What may differ from practice is the contract provision of a demand bound; our contract specifies that the supplier will provide GS as long as the buyer’s order are within the agreed on demand bound. This provision is essential so that each party can apply the GS framework for planning their supply chain. Of course, contracts have many other provisions for handling exceptions. Nevertheless, our research provides some validation for the GS model and the contracting practices we observe in practice.

Design of risk sharing and coordination mechanism in supply chain under demand and supply uncertainty

Perishable and short-life products can be seen everywhere in life. Due to the particularity of these products, they are more complicated in supply chain management. This paper studies whether the two-part tariff and ZRS contract can achieve the purpose of reducing risks and coordinating supply chain. We assume that market demand and supplier yield are uncertain, and we use game theory and probability distribution for research. The research results show that when the information is asymmetric, the manufacturer always ignore the demand forecast information provided by the retailer under the wholesale price contract. When the demand is uncertain, regardless of whether the information is symmetric or asymmetric, the two-part tariff contract and the ZRS contract can coordinate the supply chain and achieve maximum profit. When the retailer's degree of risk aversion is high, the ZRS contract is better than the two-part tariff, which can reduce the risk of retailers and achieve the purpose of coordinating the supply chain. When the supply is uncertain, the manufacturer can provide the supplier with a risk-sharing contract, including the return price and the sharing ratio that meet certain constraints. Such a contract can effectively reduce the supplier's risk and realize supply chain coordination.

Green Supply Chain Management with Nash Bargaining Loss-Averse Reference Dependence

This paper investigates a two-echelon green supply chain (GSC) with a single loss-averse manufacturer and a single loss-averse retailer. Since the Nash bargaining solution exactly characterizes endogenous power and the contribution of the GSC members, it is introduced as the loss-averse reference point for the GSC members. Based on this, a decision model of the two-echelon GSC with loss aversion is formulated. The optimal strategies of price and product green degree are derived in four scenarios: (a) the centralized decision scenario with rational GSC members, namely the CD scenario; (b) the decentralized decision scenario with rational GSC members, namely the DD scenario; (c) the decentralized decision scenario with the GSC members loss-averse, where the manufacturer’s share is below its own loss-averse reference point, namely the DD(∆m ≥ πm) scenario; (d) the decentralized decision scenario with the GSC members loss-averse, where the retailer’s share is below its own loss-averse reference point, namely the DD(∆r ≥ πr) scenario. Then, a comparative analysis of the optimal strategies and profits in these four scenarios is conducted, and the impacts of loss aversion and green efficiency coefficient of products (GECP) on the GSC are also performed. The results show that (i) GECP has a critical influence on the retail price and the wholesale price; (ii) the GSC with loss aversion provide green products with the lowest green degree; (iii) the retail price, the wholesale price and product green degree are decreasing monotonically with the loss aversion level of the GSC member without incurring loss; (iv) furthermore, the effect of the loss aversion level of the GSC member with incurring loss on the optimal strategies is related to GECP and the gap between the GSC members’ loss aversion levels.

Supply Chain Performance with Target-Oriented Firms

Problem definition: We study a supply chain in which a supplier sets the wholesale price and a retailer responds with an order quantity. Both of the two firms can be either risk-neutral—maximizing the expected profit—or target-oriented, which is to maximize her or his ability to reach a target profit. Academic/practical relevance: Our work not only sheds light on the benefit/loss of trading with target-oriented decision makers but also, adds new knowledge to the supply chain coordination literature. Methodology: We provide strong support for firms’ target-based preference and the linear target formation model through a survey as well as analyzing company data. With the firms’ target-oriented behavior evaluated by a CVaR-satisficing measure, we apply a game theoretical framework to investigate how the target-based preference affects supply chain performance. Results: A firm, be it a supplier or a retailer, is always hurt by its target-based preference but can benefit from its trading partner’s target-based preference. A risk-neutral supplier, for example, can sometimes reap the whole supply chain’s profit if the retailer is target-oriented, and a target-oriented supplier always performs better with a target-oriented retailer than a risk-neutral one. Furthermore, a target-oriented retailer and/or supplier can help alleviate the double-marginalization effect and with a specific target, can help the supply chain achieve the same efficiency level as in a risk-neutral centralized system, with just a wholesale price contract. Another important finding is that if both firms are target-oriented, then the supply chain can have a higher expected profit under a decentralized system than a centralized one. This contrasts with the case when both firms are risk-neutral. We also investigate the role of outside option and retailer-type misidentification and find that both can alleviate the retailer’s disadvantage of being target-oriented. Managerial implications: (i) The target-based preference can be exploited by the trading partner, and hence, a firm should adopt the target-oriented decision criterion with caution. (ii) A target-oriented retailer can explore strategies such as revealing his outside option or hiding his target-based preference in order to be less manipulated. (iii) Whether a firm (and the supply chain) can benefit from its trading partner’s target-based preference often depends on how ambitious the trading partner (and the firm itself if it is target-oriented) sets the target. (iv) Target-based preference of one or both firms can help the supply chain reach the first-best efficiency. (v) When both firms are target-oriented, decentralization can be preferred to centralization.

An integrated approach to evaluate different tetracycline derivatives for formulary decisions

Disclaimer In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose Stenotrophomonas maltophilia has emerged as a critical opportunistic pathogen associated with significant morbidity and mortality. Tetracycline derivatives have been recognized as alternative treatment options, but they have varied pharmacokinetic properties. An integrated approach to different tetracycline derivatives for formulary decisions is reported. Methods The minimum inhibitory concentration (MIC) data from clonally diverse bloodstream S. maltophilia isolates were examined, along with the pharmacokinetic profiles of 4 tetracycline derivatives, to predict achievable pharmacodynamic exposures with standard intravenous dosing regimens. Antimicrobial therapy was assessed using the ratio of daily drug acquisition cost relative to the ratio of the free-drug area under the time-concentration curve (fAUC) to the 90th percentile for minimum inhibitory concentration (MIC) values for isolates (fAUC/MIC90). Results In our analysis, minocycline had the greatest fAUC/MIC90. Doxycycline was the most financially preferred agent, as calculated using 2020 average wholesale price for base-case estimates of drug acquisition cost. Conclusion An integrated evaluation for antimicrobial formulary decision-making addressed local susceptibility data, pharmacokinetics, pharmacodynamics, dosing regimens, and drug acquisition costs. This comprehensive method is more objective than the conventional approach and warrants validation.