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Xujin Pu
Food Safety Research Base of Jiangsu Province, Jiangnan university, Wuxi, 214122, China

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Journal article
Published: 10 April 2021 in Journal of Cleaner Production
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Food safety is a worldwide problem, mainly caused by environmental pollution, production and management of enterprises, government supervision failure and other reasons. Blockchain technology, as an emerging technology, has strong pertinency and applicability to food traceability due to its characteristics of decentralization, traceability and immutability. Therefore, it is expected to be effectively applied in food safety management and improve the guarantee level of food safety. However, for some reasons, blockchain has not been widely used in food safety management. So further study on the advantages and challenges of its application is beneficial to the sustainable development of food enterprises, consumers and the government. Its application can provide traceable information for food companies, consumers and governments. This can not only ensure the food safety of enterprises, but also improve the level of government supervision, so as to establish the trust between consumers, enterprises and the government, which improves the efficiency and level of food safety management. Based on the information adoption model, this study takes 202 text data related to blockchain and food safety on the Zhihu platform as the research object. On the basis of summarizing part of the public opinions, this paper puts forward the viewpoints of argument on the application of blockchain in food safety management. Then, Tobit regression is used to conduct a quantitative analysis on the influencing factors of the acceptance and adoption of relevant text content on Zhihu platform. Finally, it is found that four factors are significant at a confidence level of 0.1, specifically as follows. The two viewpoints of Advantages of Blockchain Technology and High Costs have significant promotion effects on the public’s recognition and adoption but two viewpoints of Promotion of National Policy Opinions and Blockchain Requires Supervision have significant negative effects on the public’s recognition and adoption. Based on the regression results and combined with the current technological level and development status of blockchain technology, this study provides relevant policy suggestions, which has a positive effect on improving food sustainability.

ACS Style

Wei Hong; Junlan Mao; Linhai Wu; Xujin Pu. Public cognition of the application of blockchain in food safety management—Data from China’s Zhihu platform. Journal of Cleaner Production 2021, 303, 127044 .

AMA Style

Wei Hong, Junlan Mao, Linhai Wu, Xujin Pu. Public cognition of the application of blockchain in food safety management—Data from China’s Zhihu platform. Journal of Cleaner Production. 2021; 303 ():127044.

Chicago/Turabian Style

Wei Hong; Junlan Mao; Linhai Wu; Xujin Pu. 2021. "Public cognition of the application of blockchain in food safety management—Data from China’s Zhihu platform." Journal of Cleaner Production 303, no. : 127044.

Journal article
Published: 04 February 2021 in Omega
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In a co-opetitive supply chain, an upstream contract manufacturer (CM) is more likely to not only supply specified products to an original equipment manufacturer (OEM) but also to directly compete with the OEM by offering customers substitutable products. Further, when supply uncertainty is involved, the OEM will face not only more fierce competition in the downstream market but also more unreliable delivery of components. Thus, in a co-opetitive supply chain, this paper assumes that the OEM adopts in-house production when outsourcing products from the CM with supply uncertainty. Specifically, in this paper, the CM’s effective production cost is firstly defined to quantify impacts of supply uncertainty on the equilibrium of channel structures. Based on this, the insourcing effect is proposed firstly to measure the incentive for the OEM to adopt in-house production, and the marketing gap effect is firstly proposed to indicate when the CM adopts direct selling. Further, under joint influences of these effects, equilibriums of channel structures of a co-opetitive supply chain can be correctly proven. Additionally, several extensions are involved to indicate that the OEM is still able to adopt in-house production even the CM can assume termination or the second-mover advantage.

ACS Style

Feng Lin; Xibei Qin; Xujin Pu; Weiwei Zhu; Xingxuan Zhuo. Effects of in-house production on channel structures in a co-opetitive supply chain under supply uncertainty. Omega 2021, 103, 102426 .

AMA Style

Feng Lin, Xibei Qin, Xujin Pu, Weiwei Zhu, Xingxuan Zhuo. Effects of in-house production on channel structures in a co-opetitive supply chain under supply uncertainty. Omega. 2021; 103 ():102426.

Chicago/Turabian Style

Feng Lin; Xibei Qin; Xujin Pu; Weiwei Zhu; Xingxuan Zhuo. 2021. "Effects of in-house production on channel structures in a co-opetitive supply chain under supply uncertainty." Omega 103, no. : 102426.

Journal article
Published: 24 August 2020 in IEEE Systems Journal
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Currently, manufacturing enterprises attach great importance to improving processing quality and customer satisfaction. Hybrid flow shops have widespread applications in real-world manufacturing systems such as steel production and chemical industry. In a practical production process, uncertainty commonly arises due to the difficulty of knowing exact information of facilities and jobs beforehand. In order to improve processing quality and customer satisfaction of manufacturing systems in uncertain environments, this article proposes a stochastic multiobjective hybrid flow shop scheduling problem aiming at maximizing processing quality and minimizing total tardiness, where the processing time of jobs obeys a known random distribution. To describe jobs’ processing quality mathematically, a quality-based cost function is presented, and further a chance-constrained programming approach is used to formulate this problem. Then, a multiobjective artificial bee colony algorithm incorporating a stochastic simulation approach is designed by considering its characteristics. Simulation experiments are performed on a set of instances and several state-of-the-art multiobjective optimization algorithms are chosen as peer approaches. Experiment results confirm that the proposed algorithm has an excellent performance in handling this problem.

ACS Style

Yaping Fu; Hongfeng Wang; Junwei Wang; Xujin Pu. Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness. IEEE Systems Journal 2020, 15, 4696 -4707.

AMA Style

Yaping Fu, Hongfeng Wang, Junwei Wang, Xujin Pu. Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness. IEEE Systems Journal. 2020; 15 (3):4696-4707.

Chicago/Turabian Style

Yaping Fu; Hongfeng Wang; Junwei Wang; Xujin Pu. 2020. "Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness." IEEE Systems Journal 15, no. 3: 4696-4707.

Journal article
Published: 02 August 2020 in Agriculture
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Preselling strategies have been a common marketing tool, but research on this selection is limited. Thus, we examine three pre-sale strategies of a manufacturer who produces and sells a seasonal product to a retailer: (1) supplier pre-sale strategy—the supplier carries out preselling by opening a direct channel; (2) retailer pre-sale strategy—the retailer purchases pre-sale products from the supplier and sells them in online and offline channels; and (3) joint pre-sale strategy—the retailer acts as a pre-sale platform, providing order information and pre-sale services. For each preselling mode, we construct the Stackelberg game model aiming to maximize profits and obtain optimal service levels and pricing decisions. We find that the two latter scenarios, that is, to cooperate with the retailer (retailer pre-sale and joint pre-sale strategies), could highly gain more profit for the supplier compared with the former. For the supplier, the joint pre-sale strategy will likely be the dominant strategy because of its wide-range applicability. On the contrary, the retailer is swaying between retailer pre-sale and joint pre-sale strategies under different conditions. For the supplier, leadership always guarantees a high profit, but if the joint pre-sale strategy is adopted, then the existence of a profit-sharing ratio will narrow the profit gap between the two players.

ACS Style

Huanyong Zhang; Huiyuan Xu; Xujin Pu. Comparisons of Pre-Sale Strategies for a Fresh Agri-Product Supply Chain with Service Effort. Agriculture 2020, 10, 324 .

AMA Style

Huanyong Zhang, Huiyuan Xu, Xujin Pu. Comparisons of Pre-Sale Strategies for a Fresh Agri-Product Supply Chain with Service Effort. Agriculture. 2020; 10 (8):324.

Chicago/Turabian Style

Huanyong Zhang; Huiyuan Xu; Xujin Pu. 2020. "Comparisons of Pre-Sale Strategies for a Fresh Agri-Product Supply Chain with Service Effort." Agriculture 10, no. 8: 324.

Articles
Published: 01 June 2020 in Journal of the Operational Research Society
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In conventional two-stage network data envelopment analysis (DEA) models involving one single intermediate output, the divisional efficiencies of non-cooperative models and centralized models are equivalent to the standard constant return to scale (CRS) efficiencies of each stage. The current study demonstrates that the above result also holds true for general network structures, including those of more than two stages, with only one intermediate measure linking network components.

ACS Style

Weiwei Zhu; Ziyang Miao; Xujin Pu. Serial network DEA models with a single intermediate measure. Journal of the Operational Research Society 2020, 72, 1168 -1173.

AMA Style

Weiwei Zhu, Ziyang Miao, Xujin Pu. Serial network DEA models with a single intermediate measure. Journal of the Operational Research Society. 2020; 72 (5):1168-1173.

Chicago/Turabian Style

Weiwei Zhu; Ziyang Miao; Xujin Pu. 2020. "Serial network DEA models with a single intermediate measure." Journal of the Operational Research Society 72, no. 5: 1168-1173.

Journal article
Published: 11 March 2020 in Sustainability
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With the advent of the era of “New Retail”, many manufacturers and retailers have begun to provide cross-channel return services to increase competitiveness. Our study takes return policy into a green dual-channel supply chain, wherein a manufacturer creates and sells green products simultaneously. We investigate the pricing and greening strategies for the supply chain players in the cases of providing and not providing cross-channel return service by employing the Stackelberg model under the hypothesis of a consistent pricing strategy. By comparing the equilibrium results of two cases, we find that the retailer will cooperate with the manufacturer to employ the cross-channel return policy when the spillover effect is greater than a threshold. Additionally, the green level of products is higher than before. The threshold decreases with consumers’ sensitivity to green products, which implies that the manufacturer is motivated to conduct marketing programs to enhance consumers’ willingness to buy green products. Moreover, we propose a contract to coordinate the supply chain. Finally, we discuss the scenarios if the supply chain implements a differential pricing strategy. Interestingly, the green level and the profits of the whole supply chain are greater than that under a consistent pricing strategy. However, the profits of the retailer are lower than profits in the other scenario, which is not beneficial to creating a stable green supply chain.

ACS Style

Huanyong Zhang; Huiyuan Xu; Xujin Pu. A Cross-Channel Return Policy in a Green Dual-Channel Supply Chain Considering Spillover Effect. Sustainability 2020, 12, 2171 .

AMA Style

Huanyong Zhang, Huiyuan Xu, Xujin Pu. A Cross-Channel Return Policy in a Green Dual-Channel Supply Chain Considering Spillover Effect. Sustainability. 2020; 12 (6):2171.

Chicago/Turabian Style

Huanyong Zhang; Huiyuan Xu; Xujin Pu. 2020. "A Cross-Channel Return Policy in a Green Dual-Channel Supply Chain Considering Spillover Effect." Sustainability 12, no. 6: 2171.

Articles
Published: 11 February 2020 in Maritime Policy & Management
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This paper explores the online channel strategies adopted by Chinese manufacturers with regard to the Belt and Road. It also investigates the effect of offline channel power structures and maritime transportation costs on online channel mode selection and pricing strategies. The offline channel power structures are classified into three types, namely, Chinese manufacturer Stackelberg (MS) structure, vertical Nash (VN) structure, and foreign retailer Stackelberg (RS) structure. Furthermore, a game model is developed among the Chinese manufacturer, foreign retailer, and cross-border e-tailer to investigate the interactions among offline channel power structures, maritime transportation costs, and Chinese manufacturers’ online channel mode selection. The results show that Chinese manufacturers’ preferences for the online agency selling mode increases correspondingly with the decrease in their market position and bargaining power. Moreover, foreign retailers can obtain higher profits in the online agency selling mode under the VN structure. However, the level of profit for foreign retailers depends on the intensity of their competition with cross-border e-tailers under the MS and RS structures. Finally, consumers in countries along the Belt and Road can obtain a higher surplus in the online agency selling mode under all of the structures.

ACS Style

Xujin Pu; Bowen Ji; Hongfeng Wang. Online channel strategies under different offline channel power structures for the Belt and Road of China. Maritime Policy & Management 2020, 47, 756 -777.

AMA Style

Xujin Pu, Bowen Ji, Hongfeng Wang. Online channel strategies under different offline channel power structures for the Belt and Road of China. Maritime Policy & Management. 2020; 47 (6):756-777.

Chicago/Turabian Style

Xujin Pu; Bowen Ji; Hongfeng Wang. 2020. "Online channel strategies under different offline channel power structures for the Belt and Road of China." Maritime Policy & Management 47, no. 6: 756-777.

Journal article
Published: 26 August 2019 in Sustainability
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This paper addresses the problem of green manufacturing decision making for a green dual-channel supply chain (SC). In the investigated SC, the manufacturer will decide whether to adopt green manufacturing under the influence of the retailer’s fairness concern-based dual-channel. Thus, we discuss two decision scenarios: the no green manufacturing strategy with retailer fairness (NM model), and green manufacturing with retailer fairness (GM model). Our study has several findings: Firstly, adopting a green manufacturing strategy is not always beneficial to supply-chain members when a retailer has fairness. In particular, when fairness is at a relatively high level, the manufacturer will not adopt green manufacturing. Secondly, under green manufacturing, the product’s green degree and subsidies have a positive impact on the price and demand and the members’ profit and utility. Besides, the subsidies and retailer fairness have a counter effect on the optimal decision. Thirdly, comparing the two scenarios (NM & GM), we found that the channel price of the GM model is lower than the NM model. Finally, from the perspective of the supply chain system, the system tends toward the manufacturer adopting green manufacturing and maintaining retailer fairness concerns at a lower level.

ACS Style

Huanyong Zhang; Xujin Pu; Yuhang Li. Green Manufacturing Strategy Considering Retailers’ Fairness Concerns. Sustainability 2019, 11, 4646 .

AMA Style

Huanyong Zhang, Xujin Pu, Yuhang Li. Green Manufacturing Strategy Considering Retailers’ Fairness Concerns. Sustainability. 2019; 11 (17):4646.

Chicago/Turabian Style

Huanyong Zhang; Xujin Pu; Yuhang Li. 2019. "Green Manufacturing Strategy Considering Retailers’ Fairness Concerns." Sustainability 11, no. 17: 4646.

Journal article
Published: 28 June 2019 in Sustainability
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The rapid development of the Internet and the transformation of consumption patterns have prompted consumers to purchase fresh products online. For fresh e-commerce enterprises, logistics is an important aspect of customer satisfaction. Therefore, this study focused on online review information and used a convolutional neural network text mining model for its analysis. Logistics service elements concerned with customer satisfaction are convenience, communication, integrity, responsiveness, and reliability. Thereafter, comment information was converted to digital information using sentiment analysis. Finally, a correlation analysis was carried out to compare the significance of various influencing factors. The results confirm that convenience, communication, reliability, and responsiveness had a significant impact on customer satisfaction, whereas integrity had none. Fresh e-commerce logistic services need to improve for the development of the companies.

ACS Style

Wei Hong; Changyuan Zheng; Linhai Wu; Xujin Pu. Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques. Sustainability 2019, 11, 3570 .

AMA Style

Wei Hong, Changyuan Zheng, Linhai Wu, Xujin Pu. Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques. Sustainability. 2019; 11 (13):3570.

Chicago/Turabian Style

Wei Hong; Changyuan Zheng; Linhai Wu; Xujin Pu. 2019. "Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques." Sustainability 11, no. 13: 3570.

Journal article
Published: 12 September 2018 in International Journal of Environmental Research and Public Health
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Many manufacturers and retailers have cooperated for low-carbon production in various industries. This study examines the role of consumers’ low-carbon preference in this cooperation. We construct four scenarios to investigate the effects of consumers’ low-carbon preference on the market equilibrium of supply chains’ product selection strategy. Based on the game theoretic models, optimal solutions for the two supply chains are derived with different consumers’ preference for low-carbon products. Through the discussion, we uncovered the influence of consumers’ preference on price and demand and the relationship between the influence coefficient of retailers’ promotional effort on consumers’ utility and retailer profits. In addition, given the increase of government’s low-carbon production subsidy, two supply chains will both more likely choose low-carbon production. Interestingly, under the government subsidy, the profit of manufacturer will increase or decrease more than its retailer and the market structure will not change if the two supply chains have chosen low-carbon production.

ACS Style

Xujin Pu; Zhiping Song; Guanghua Han. Competition among Supply Chains and Governmental Policy: Considering Consumers’ Low-Carbon Preference. International Journal of Environmental Research and Public Health 2018, 15, 1985 .

AMA Style

Xujin Pu, Zhiping Song, Guanghua Han. Competition among Supply Chains and Governmental Policy: Considering Consumers’ Low-Carbon Preference. International Journal of Environmental Research and Public Health. 2018; 15 (9):1985.

Chicago/Turabian Style

Xujin Pu; Zhiping Song; Guanghua Han. 2018. "Competition among Supply Chains and Governmental Policy: Considering Consumers’ Low-Carbon Preference." International Journal of Environmental Research and Public Health 15, no. 9: 1985.

Journal article
Published: 21 July 2018 in Chaos, Solitons & Fractals
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Container transportation has developed rapidly in recent years because of the growth of international trade. However, transportation demands along shipping lanes or in different regions are unbalanced and change over time. This high-growth and uncertain operation environment makes empty container-capacity management important and challenging. Carriers usually face two types of demands from forwarders/shippers with long-term contracts and from the spot market. Empty container-capacity planning and allocation are based on demand information from forwarders and the spot market. In this paper, we focus on the empty container-quantity decision problem over one planning horizon of multiple schedules, each with a random demand. The carrier builds empty container capacity with its own containers and leased containers. We construct a stochastic dynamic program model to maximize the profit of the carrier. The objective function is shown to be concave in empty container quantity. We can also formulate a static model and a myopic model. We run simulations by assuming that demand follow colored and white Gaussian Noise processes, we observe that the optimal empty container quantity using the static model is identical or close to identical to that from the dynamic model, while the optimal empty container quantity from the myopic model is always more than that from the dynamic model. Therefore, a simplified iteration algorithm utilizing the static and myopic models is developed to obtain the optimal dynamic solution efficiently. Numerical experiments show that the proposed algorithm is effective.

ACS Style

Guanghua Han; Xujin Pu; Zhou He; Cong Liu. Integrated planning and allocation: A stochastic dynamic programming approach in container transportation. Chaos, Solitons & Fractals 2018, 114, 264 -274.

AMA Style

Guanghua Han, Xujin Pu, Zhou He, Cong Liu. Integrated planning and allocation: A stochastic dynamic programming approach in container transportation. Chaos, Solitons & Fractals. 2018; 114 ():264-274.

Chicago/Turabian Style

Guanghua Han; Xujin Pu; Zhou He; Cong Liu. 2018. "Integrated planning and allocation: A stochastic dynamic programming approach in container transportation." Chaos, Solitons & Fractals 114, no. : 264-274.

Journal article
Published: 14 June 2017 in Sustainability
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During the past few years, the market for organic food has been experiencing rapid growth. However, the market demand for organic food typically fluctuates due to its seasonal nature and customized characteristics, and it remains fairly difficult to precisely forecast market demand prior to the selling season. Forecast bias usually creates inefficiency in an organic food producer’s production plan and results in a substantial amount of waste. Thus, this paper studies how much an organic food producer is likely to lose with a certain level of forecast bias and investigates whether forecast bias necessarily results in an improper production plan. Finally, we calculate the maximum potential profit loss rate when the organic food producer determines how much to produce based on his forecasted demand, which we believe will be instructive for organic food producers in making production decisions. The target problem is formulated by a newsvendor model and solved using a tolerant analysis approach. We find that an organic food producer can still find the optimal solution only if his forecast bias is under a certain threshold. However, if the organic food producer’s forecast bias is beyond the threshold, he will probably make a sub-optimal production decision and potentially experience a profit loss. Subsequently, we analytically calculate an organic producer’s maximum potential profit loss rate for any given level of forecast bias. Examples are employed to numerically illustrate the main findings.

ACS Style

Guanghua Han; Xujin Pu; Bo Fan. Sustainable Governance of Organic Food Production When Market Forecast Is Imprecise. Sustainability 2017, 9, 1020 .

AMA Style

Guanghua Han, Xujin Pu, Bo Fan. Sustainable Governance of Organic Food Production When Market Forecast Is Imprecise. Sustainability. 2017; 9 (6):1020.

Chicago/Turabian Style

Guanghua Han; Xujin Pu; Bo Fan. 2017. "Sustainable Governance of Organic Food Production When Market Forecast Is Imprecise." Sustainability 9, no. 6: 1020.

Journal article
Published: 20 September 2016 in Sustainability
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Market competition creates strategic incentives for firms to communicate private information about their own product quality through certification. Although voluntary certification has recently gained importance in the agricultural industry, information asymmetry is not always completely addressed. This study analyzes how the relative proportion of boundedly rational consumers in the market influences the effectiveness of voluntary certification mechanisms by using a duopoly game model of high- and low-quality firms. The presented results show that a change in the proportion of boundedly rational consumers leads to different certification behaviors and a different market equilibrium. We also find that the existence of boundedly rational consumers is an important factor in the failure of voluntary certification. Indeed, when the relative proportion of such consumers is very high, voluntary certification is ineffective at improving market efficiency.

ACS Style

Xujin Pu; Huanzhen Zhang. Voluntary Certification of Agricultural Products in Competitive Markets: The Consideration of Boundedly Rational Consumers. Sustainability 2016, 8, 953 .

AMA Style

Xujin Pu, Huanzhen Zhang. Voluntary Certification of Agricultural Products in Competitive Markets: The Consideration of Boundedly Rational Consumers. Sustainability. 2016; 8 (9):953.

Chicago/Turabian Style

Xujin Pu; Huanzhen Zhang. 2016. "Voluntary Certification of Agricultural Products in Competitive Markets: The Consideration of Boundedly Rational Consumers." Sustainability 8, no. 9: 953.

Research article
Published: 08 May 2014 in Mathematical Problems in Engineering
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The paper constructs a two-period and an infinitely repeated signaling model for the certification of credence goods, with consideration of the learning ability of consumers. Based on the analysis of the existing conditions of separating equilibrium under different situations, results reveal that the certification cost has a significant influence on the separating equilibrium. The range of certification cost for a separating equilibrium is positively related to the usurp cost and the consumers’ learning ability and is negatively related to the difference in the production cost. Compared with that in a two-period model, the range of the certification cost for a separating equilibrium is greater in the infinitely repeated model and is positively related to the discount coefficient.

ACS Style

Xujin Pu; Lu Lu; Xiaohua Han. Certification of Credence Goods with Consideration of Consumers’ Learning Ability. Mathematical Problems in Engineering 2014, 2014, 1 -7.

AMA Style

Xujin Pu, Lu Lu, Xiaohua Han. Certification of Credence Goods with Consideration of Consumers’ Learning Ability. Mathematical Problems in Engineering. 2014; 2014 ():1-7.

Chicago/Turabian Style

Xujin Pu; Lu Lu; Xiaohua Han. 2014. "Certification of Credence Goods with Consideration of Consumers’ Learning Ability." Mathematical Problems in Engineering 2014, no. : 1-7.