Table of Content

25 June 2020, Volume 29 Issue 6

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Theory Analysis and Methodology Study

AnOptimization Decision Approach for the Bi-objective Production Routing Problem of Equipment Maintenance Material

TENG Shang-ru, HE Cheng-ming, CONG Bin

2020, 29(6):  1-9.  DOI: 10.12005/orms.2020.0138

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In the supply support for equipment maintenance material, in consideration of the requirements of military users on the accuracy of material support in the context of precise support, two objectives are simultaneously optimized, i.e., to minimize the total cost, and to maximize the order accuracy. A novel bi-objective model is proposed for the problem. Then in the framework of ε-constraint method, a two-phase iterative heuristic and a fuzzy logic decision method are developed to generate a near-optimal Pareto solution set and to help decision makers select a preferred solution.The experimental results on randomly generated instances indicate that the proposed model and algorithm can be applied into bi-objective optimization problemeffectively, and exhibit extraordinary performance in solving different scales of instances.

Research into the Deep Development Model of Civil-Military Integration Collaborative Innovation by the Government-Based on Xi'an

CAO Xia, XING Ze-yu, ZHANG Lu-peng

2020, 29(6):  10-18.  DOI: 10.12005/orms.2020.0139

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In order to explore the new situation of civil-military integration, this paper establishes a deep development model of civil-military integration collaborative innovation. We analyze the evolution process of civil-military integration collaborative innovation and discuss the influence of governmental infrastructure construction, governmental procurement and governmental funding on the three-party behavior of civil-military integration collaborative innovation by combining the numerical simulation. We have the following key findings: First, the collaborative innovation of military and civilian enterprises will be influenced by governmental infrastructure construction. As the persistent development of civil-military integration, the government will take the opportunity to abandon infrastructure construction and turn to other supporting policies. Second, governmental procurement will promote civilian enterprises to choose collaborative innovation. While the power is small, the military enterprises will turn to the evolution of betrayal, the more power, the more military enterprises will turn to the evolution of collaborative innovation. Finally, when the government funding is low, the civilian enterprises will not choose the evolution of collaborative innovation. The government can increase subsidies to promote the evolution of collaborative innovation for civilian enterprises. However, in a short term, government funding has no significant impact on the collaborative innovation of military enterprises.

Supply Chain Recall Efforts Strategies: Manufacture's Promotion vs Supplier's Production Efforts

DAI Bin, Chen Shi-miao, LI Jian-bin

2020, 29(6):  19-32.  DOI: 10.12005/orms.2020.0140

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Considering a two-stage supply chain consisting of a supplier and a manufacturer which is facing a product recall event, and the fact that both the supplier and manufacture can make recall efforts to reduce the product recall probability, this paper studies the optimal supply chain recall efforts strategies. We find that the supply chain recall efforts are mainly related to the initial expected unit recall costs and the potential market size. When the potential market size and the initial expected unit recall costs are relatively small, both supply chain members choose the partial recall effort. When both the potential market size and the initial expected unit recall costs are large, both supply chain members take the full recall efforts. Otherwise, the supplier chooses full recall effort while the manufacturer chooses partial recall effort. In practice, the manufacture's promotion and the supplier's production efforts are commonly used strategies to enlarge the market size, sowe investigate the effect of both strategies on the supply chain recall efforts strategies as well. The results show that both strategies can motivate supply chain members to improve recall efforts, reduce the recall probability, and increase the profit of supply chain members. Particularly, we compare both strategies in terms of the effect on supply chain recall efforts. When both promotion costs coefficient and production effort costs coefficient are small, effects are the same. When the production effort costs coefficient is large enough, the manufacturer's production effort strategy improves supply chain recall efforts better. Otherwise, the supplier's production effort strategy improves supply chain recall efforts better.

Three-Level Supply Chain Coordination Under Double Market-Oriented Options with Sales Effort

CAI Xin, SUN jing-chun

2020, 29(6):  33-40.  DOI: 10.12005/orms.2020.0141

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Aiming at the situation where the demand is random and is affected by retailers' sales efforts,this paper studies a coordination problem of a supply chain with a manufacturer, a distributer and a retailer. First,we try to coordinate the three level supply chain only with double option contracts, that is, option contract is used between the manufacturer and distributor as well as the distributor and retailer, but find it cannot realize coordination when the effort cost is undertaken only by the retailer. So, besides the option contract, the paper introduces effort cost partaking contract,then we find when the parameters of option contracts can meet some linear relationships and the effort cost is apportioned among supply chain members,the two contracts above can realize the coordination of the supply chain. In addition, we introduce the market-oriented pricing rules of options, and study the effect of market-oriented options on supply chain coordination. The paper shows that the introduction of market-oriented option pricing rules increases the conditions for supply chain coordination and reduces the possibility of supply chain coordination, and the option price is affected by the market factors, such as price fluctuation and interest rate. Lastly, the coordination conditions under Market-Oriented Options with sales effort effects are given and the effect of the change of parameters on supply chain coordination isalso analyzed.

Cooperative Popularizing of “Internet+ recycling” Platform Based on the Supply Chain

JIAN Hui-yun, HUANG Qiu-lan, XU Min-li

2020, 29(6):  41-48.  DOI: 10.12005/orms.2020.0142

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With the “Internet+recycling” platform for third-party collector lacks of popularity. The online retailer is responsible for selling products, and meanwhile, it takes full advantage of its own popularity to promote “Internet+recycling” platform of third-party collectors to the consumers. This paper analyzes the optimal strategies of supply chain members in non cooperative and cooperative situations, and makes a comparative analysis. The conclusion shows that cooperation is more beneficial for members than noncooperation. Compared with the two cooperating situations of cost sharing contract and transfer payment contract, the internet retailer and third-party collector will invest more promotion efforts leading to lower recycle price and the greater recycled quantity. Under centralized supply chain, the recycled quantity, the efforts of the internet retailer and third-party collector will reach the maximum.

Differential Game Analysis of Technological Innovation and Dynamic Pricing in the Cloud Service Supply Chain

LU Xin-man, LI Yan-xia, WANG Jun, YU Si-qin

2020, 29(6):  49-57.  DOI: 10.12005/orms.2020.0143

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Considering the influence of time factor on the product technology advanced degree, this paper introduces differential game to analyze dynamic pricing and technical innovation of cloud service products in the dynamic framework. Two kinds of cooperative research and development mode (linked respectively to innovation cost-sharing contract and revenue-sharing contract) are discussed separately. The results show that technology innovation investment, cloud product prices and profits of cloud service supply chain members will increase with the sensitivity coefficient of technology advanced degree. For the entire cloud service supply chain, choosing lower innovation cost sharing proportion and higher revenue-sharing proportion are more favorable. In addition, lump sum transfer contract can be used to coordinate the behavior of the cloud service supply chain members when inconsistencies occur. Finally, the numerical examples show the validity of the model.

Closed-loop Supply Chain Buy-Back Contract Coordination Strategy Based on Mean-CVaR

YU Chun-hai, FENG Qiao, RONG Dong-ling

2020, 29(6):  58-64.  DOI: 10.12005/orms.2020.0144

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Based on buy-back contract, this paper studies the coordination decision-making of two-stage closed-loop supply chain (manufacturer risk neutral, and retailer risk preference). In this paper, a contract model considering two risk parameters (pessimism coefficient and risk-averse degree) and mean-CVaR decision criteria is constructed for retailers' risk neutrality, aversion and preference. The analytic solutions of the optimal order quantity and the recovery price are solved, and how the retailer's order strategy changes under different risk preferences is studied. The optimal coordination mechanism is obtained, and the sensitivity analysis of the main model parameters(repurchase price, proportion and risk parameters)is carried out. Finally, the rationality of the coordination strategy is verified by numerical examples.

Pricing and Coordination of Dual Channel Closed-loop Supply Chain with Different Channel Power Structure

WEN Hui, ZHENG Ben-rong, CAO Xiao-gang, LI Ji-zi

2020, 29(6):  65-74.  DOI: 10.12005/orms.2020.0145

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Under the environment of double channel, based on different channel power structure in closed-loop supply chain, we develop three decentralized (manufacturer-led Stackelberg game, retailer-led Stackelberg game, and manufacturer and retailer Nash game)and a centralized closed-loop supply chain models. Furthermore, we obtain equilibrium solutions for each model, and design a contract mechanism combining two kinds of contracts to coordinate the supply chain. Finally, the dual channel closed-loop supply chain coordination problem in manufacturer-Stackelberg game model is explored with the benchmark of the optimal decision results of the centralized decision model. Finally, the designed coordination mechanism's effectiveness is verified and the influence of some key parameters in the model (channel substitution coefficient, the degree of the customer's preference for the retail channel, retailer recovery effort and remanufacturing cost-savings) on the equilibrium decisions and channel member profit is analyzed through numerical examples.

Improved Alternating Steepest Descent Algorithms for Low Rank Matrix Completion

HU Jian-feng

2020, 29(6):  75-81.  DOI: 10.12005/orms.2020.0146

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Matrix completion is to recover a matrix from partial observed entries by utilizing the low rank property, which admits a large number of applications in recommender system, signal processing, medical imaging, machine learning, etc. Alternating steepest descent methods for matrix completion proposed recently have been shown to be efficient for large scale problems due to their low per iteration computational cost. In this paper, we use separately exact line search to improve the computational efficiency, so that the objective value obtained at the same computational cost at every iteration is smaller. A similar convergence analysis is also presented. The numerical results show that the proposed algorithms are superior to alternating steepest descent methods for low rank matrix completion.

Optimization of Supply Chain with Capital Constraint under Carbon Cap-and-Trading Mechanism

HUANG Rui-fen, SUN Jun-feng, WANG Jun

2020, 29(6):  82-89.  DOI: 10.12005/orms.2020.0147

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Under the carbon cap-and-trade mechanism, this paper studies a supply chain optimization problem with a capital constrained retailer. A Stackelberg game model between one dominant manufacturer and one retailer is established and the cost-sharing contract for emission reduction is introduced to the model. Then the optimal solutions of decentralized decision-making and centralized decision-making are obtained. Revenue sharing contract is also introduced between the members to achieve supply chain coordination and the Pareto improvement of members' profits. A numerical example is conducted to analyze the impacts of the cost-sharing coefficient and carbon price on profit of the supply chain, as well as the decision-making of order quantity and carbon emission reductions. The results show that the cooperation of members can lead to a better supply chain performance and more and greener products for consumers. The increase of carbon price promotes the supply chain to reduce emissions sharply, thereby increasing total profit of the supply chain.

Optimal Crowdsourcing Incentive StrategyBased on All-pay Auction

LU XIN-yuan, ZHENG Ya-ting, LU Quan, HUANG Meng-mei

2020, 29(6):  90-96.  DOI: 10.12005/orms.2020.0148

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Since organizers have different expected revenue for collaborative crowdsourcing model and crowdsourcing contest model, this paper studies the incentive strategy of two types of crowdsourcing. Firstly, we build models of expected total effort and expected highest effort from agents in incomplete information, based on the All-pay auction model. Considering the unlimited budget constraint, we design the strategy of optimal number of prizes for tenderers in crowdsourcing. Furthermore, we research the effects of abilities and numbers of players for our incentive strategy. The results show that the function of expected total effort and expected highest effort are unimodal functions for s-the number of prizes. Moreover, the optimal number of prizes should increase when the ability and numbers of players increase.

The ø-ivergence-based Data Driven Robust Optimization Model for Multi-product Inventory Problem with Joint Replenishment

SUN Yue, QIU Ruo-zhen

2020, 29(6):  97-106.  DOI: 10.12005/orms.2020.0149

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The robust optimization model for a multi-product joint inventory problem with joint setup cost is established under the uncertain market demand. A series of discrete scenarios with unknown probabilities are used to describe the uncertain market demand and the corresponding robust counterpart model is developed based on min-max criteria. In particular, the optimality of an (s,S) inventory strategy is proved. Furthermore, a data-driven approach based on ø-divergence is used to construct the uncertainty set which the uncertain demand probability belongs to with a certain confidence level when only the historical demand data of the market demand is known. On that basis, to obtain the relevant parameters' values of the (s,S) inventory policy, a robust optimization model of multi-product inventory problem is transformed into a tractable programming by Lagrange dual method. At last, some numerical examples are conducted to analyze the multi-product inventory performances under the Kullback-Leibler divergence, Cressie-Read divergence and different confidence levels. Moreover, the robust inventory performance is also compared with that derived by applying robust inventory strategy to the real distribution. The results show that the proposed data-driven robust optimization approach based on ø-divergence is robust and can effectively restrain the impact of demand uncertainties on the retailer's cost performance. In particular, although the lack of demand distribution information can incur a certain loss of inventory performance, the loss is very small, which indicates that the proposed ø-divergence based data-driven robust optimization approach can provide effective support for managers to make inventory policy under demand uncertainties.

Optimization Design of Emergency Logistics Network Considering Facility Disruption Scenarios during the Early Stage of Post-Earthquake Relief

ZHOU Yu-feng, CHEN Na, LI Zhi, GONG Ying

2020, 29(6):  107-112.  DOI: 10.12005/orms.2020.0150

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Building a reasonable emergency logistics network at the early stage of post-earthquake relief is significant to effectively provide emergency supplies and relieve disaster. We define the problem as an emergency facility location-allocation problem(FLAP). Firstly, an emergency FLAP model for post-earthquake early stage rescue is proposed based on traditional reliable facility location problem(RFLP)model and emergency facility location problem(FLP)model. The goal is to minimize the maximum delivery time under any scenario. Then, the stage characteristics, facility disruption scenarios, fuzzy requirements, facility capacity constraints and other factors are considered into the LAP model simultaneously. The expected value formula of triangular fuzzy numbers is applied to remove fuzziness. In addition, a hybrid genetic algorithm(GA)with integer coding is designed to solve the model according to the characteristics of the model. Finally, an example is given to validate the effectiveness of the model and algorithm with the background of “5·12 WenChuan earthquake”.

Game Analysis of Environmental Regulation between Central Government and Local Government under the Perspective of Public Participation

PAN Feng, LIU Yue, WANG Lin

2020, 29(6):  113-123.  DOI: 10.12005/orms.2020.0151

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Firstly, this paper constructs a two-party evolutionary game model of central government and local government in environmental regulation. On this basis, taking the public as the third party participant, it constructs a three-party evolutionary game model of central government, local government and the public, compares the differences between the two-party and three-party game models in detail, and explores the influencing factors of each main body's strategic behavior. The results show that: (1)Without public participation, the implementation strategy of local government's environmental regulation is mainly affected by the cost, environmental benefit and economic loss of local government's active implementation, the environmental performance loss of passive implementation of environmental regulation, the intensity of central government's supervision, governance subsidy and punishment to local government, etc. The supervision strategy of central government is mainly affected by the cost of strict supervision and the governance subsidies and penalties of local government and other factors. After introducing public participation, on the basis of the game between central and local governments, the influencing factors of the implementation strategy of local government environmental regulation also increase the additional penalties that local governments are subjected to after being reported. The influencing factors of the central government's supervision strategy also increase the intensity of central government's supervision, the additional penalties to local governments and the loss of the credibility of the central government. (2)Without public participation, the probability of the central government's strict supervision strategy decreases with the increase of the probability of the local government's active implementation. After the introduction of public participation, the probability of the central government's strict supervision strategy increases with the increase of the probability of the local government's active implementation. It shows that under the participation of the public, the restraining effect of the local government's active implementation of environmental regulations on the central government's strict supervision has changed into a promoting role. (3)The probability of active implementation by local governments and strict supervision by the central government increase with the increase of the probability of public reporting. It shows that public participation not only promotes local governments to undertake environmental responsibility, but also helps to promote the central government to implement environmental governance policies.

Multi criteria Decision Making Method Based on Probabilistic Language BWM and PROMETHEE II

GENG Xiu-li, ZHOU Qing-chao

2020, 29(6):  124-129.  DOI: 10.12005/orms.2020.0152

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An improved Preference Ranking Organization Method For Enrichment Evaluations(PROMETHEE)method based on BWM and PROMETHEE II is proposed.Aiming at the ambiguity and uncertainty of evaluation information in the process of multi-criteria decision making, the evaluation information processed by the Probabilistic Linguistic Term Set(PTLS)is incorporated into PROMETHEE II to sort the alternatives. Aiming at the problem that the weight of traditional PROMETHEE II criterion needs to be acquired externally, the Best-worst Method(BWM)is adopted to determine the weight of criterion. Finally, an example is given to illustrate the effectiveness and feasibility of the proposed method.

Risky Multiple Attribute Decision Making Based on Pythagorean Fuzzy Entropy ——with Regret Aversion and Disappointment Aversion

LI Na, GAO Lei-fu, WANG Lei

2020, 29(6):  130-138.  DOI: 10.12005/orms.2020.0153

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For the problem of risky multiple attribute decision making, in which the attribute values are the Pythagorean fuzzy numbers and the information about criteria weights is completely unknown, a decision making method is proposed with regret aversion and disappointment aversion based on Pythagorean fuzzy entropy. Firstly, regret-rejoice value, disappointment-elation value and perceived utility value of alternatives are obtained by the utility value of each attribute for alternatives and the ideal alternative. Secondly, a kind of technique for constructing Pythagorean fuzzy entropy is proposed, and a method is developed based on the proposed entropy values to obtain unknown attribute weight. Furthermore, overall utility values of alternatives are calculated with weighted sum method and a ranking of alternatives can be determined by using the overall utility values. Finally, a numerical example is given to verify the effectiveness and advantage of the proposed method, and the influence of different regret aversion parameters and disappointment?aversion parameters on decision making is analyzed.

Online TSP Problem with Service Time on the Ring Road Network

FAN Xiang-yu, LIN Xiao-guo, WU Xiao-ping

2020, 29(6):  139-144.  DOI: 10.12005/orms.2020.0154

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In order to improve the timeliness of courier services, it is necessary to dispatch the express vehicles effectively. In order to solve the problem of service time and unpredictable demand on the ring road network,this paper proposes an online traveling salesman problem with service time on the ring road network with the aim of providing the total service time which should be as short as possible. The lower bound of competition ratio of this problem is analyzed by the online algorithm,two online algorithms are designed and their respective competition ratio is analyzed,and the results show that the service time can improve the performance of the online vehicle. At last, the two algorithms are illustrated by a simple example. The conclusions of this paper can provide guidance for the real-time scheduling of express vehicles on the ring road network.

Notes on Structure Entropy Weight Method to Confirm the Weight of Evaluating Index

XIAO Zhi-hong, WANG Yi-chao

2020, 29(6):  145-149.  DOI: 10.12005/orms.2020.0155

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In the paper, according to the viewpoint of Cheny(2010)we improve the method put forward by Cheny(2010)using the entropy theory and Delphi Method, and obtain the better structure entropy method.Then, we use the method above to determine the w-eights for the indices of the environmental protection project, which is compared with that which is determined by Delphi Method.Meanwhile we explain the reason why the difference of the weight is yielded between the two methods above.

Application Research

Study of Product Recommendation for Loss-averse Customers

HU Li-mei, TAN Chun-qiao

2020, 29(6):  150-156.  DOI: 10.12005/orms.2020.0156

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With the rapid development of e-commerce and social network, the number of online goods and services is increasing day by day, making it more and more difficult for customers to make purchase decisions based on online information. A product recommendation model is constructed to help customers successfully locate the products customers need based on online numerical ratings with large data volume. Firstly, an intuitionistic trapezoidal fuzzy number is introduced to convert the numerical ratings to deal with the characteristics of uncertainty in historical users' ratings. Secondly, the classical prospect theory is introduced to depict the loss aversion of customers in the realistic decision-making process. At last, the practicability and effectiveness of the model are verified through the analysis of the automobile purchase cases of the Autohome and the comparison with the recommendation result of completely rational customers.

Study on Equilibrium of Multi-level Dairy Supply Chain Network

HUA Lian-lian, LIU Shuai-juan,WANG Jian-guo, YANG yun-fei

2020, 29(6):  157-165.  DOI: 10.12005/orms.2020.0157

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Taking the dairy supply chain network as the research object, the dairy supply chain network equilibrium model including the four-tier decision-making body of raw milk supplier, dairy processing enterprise, dairy distributor and end consumer market is constructed. With equilibrium theory and variational inequality theory, the independent behavior of each decision maker and competitive behavior of mutual influence among decision makers are described. The equilibrium solution is obtained by modified projection method, and the economic explanation is given. Therationality and correctness of the model are verified by numerical examples. This equilibrium model helps to coordinate the interests of members in the supply chain and improve the overall operational efficiency of the dairy supply chain and competitiveness of the dairy industry.

Dynamic Comprehensive Evaluation of China's Industrial Structure Transformation Capability Based on the Combination Weighting Method of Index Variation Degree and Index Correlation Degree

FAN De-cheng, FANG Lin, SONG Zhi-long

2020, 29(6):  166-178.  DOI: 10.12005/orms.2020.0158

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The evaluation index system of China's industrial structure transformation capability is constructed from five aspects: demand factor, supply factor, technical factor, sustainable development and foreign trade. The entropy method, deviation maximisation method and BP-DEMATEL method are used to determine the difference information of index variation degree and the difference information of index correlation degree. Then, the combined weights are obtained by integrating the results of different weights with the minimum distance-maximum entropy method, and the industrial structure transformation capability of 30 provinces in China is evaluated with the combined weights. The evaluation results show that the unbalanced development of China's industrial structure transformation capability is prominent, showing a ladder-like decline from east to west.

Decision-models of Inventory Financing for Loss of Goods Considering Investment Demand

ZHANG Yun-feng, GONG Ben-gang, GUI Yun-miao

2020, 29(6):  179-186.  DOI: 10.12005/orms.2020.0159

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Loss of the pledged goods reduces its market value, improves the risk of default of medium and small-sized enterprises(SMEs), and affects the expected revenue of all participants in the business. At the same time, SMEs can also make short-term investments in the capital markets in order to make a profit after deducting the various expenditures. Based on this, this paper sets up a decision model of inventory financing by assuming that the pledged goods are the loss of goods and SMEs have the demand of investment. We consider two situations: firstly, given the the financing rate of financing institutions, the model decides the optimal return on investment of SMEs and the optimal supervising effort level of logistics enterprises; secondly, given the return on investment of SMEs, the model decides the optimal financing rate of financing institutions and the optimal supervising effort level of logistics enterprises. The solution process of decision variables is simulated by numerical examples, and the sensitivity analysis proves the conclusions given in this article.

A Method for Winner Determination for Online Multi-attribute Reverse Auction under Mixed Uncertain Situations based on Prospect Theory

WANG Shi-lei, QU Shao-jian, LIU Zhi-min, MA Gang

2020, 29(6):  187-197.  DOI: 10.12005/orms.2020.0160

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Nowadays, online reverse auction plays more and more important role in the economic and social developments, which is mainly used in the field of procurement and bidding. Nevertheless, in the actual procurement auction, there often exists a certain extent of uncertainties in the aspects of commodity attributes and suppliers' information. Moreover, the descriptions of these uncertainties have a variety of fuzzy representations. All these will increase the risk expectation of buyer and the difficulty in determing the winning supplier. Therefore, based on the prospect theory and fuzzy set theory, we study the winner determination problem of online multi-attribute reverse auction in which five attribute description methods simultaneously exist including precise number, interval number, triangular fuzzy number, trapezoidal fuzzy number and semantic fuzzy term. We propose a general winner (successful bidder) determination method for online multi-attribute reverse auction under mixed uncertain situations. Finally, the rationality and validity of the proposed method are verified by comparative analysis and numerical examples, and the stability and applicability of the method are further illustrated by robustness analysis.

Observation on the Development of Regional Innovation Ecosystem in China from the Perspective of Symbiosis ——Research on Spatial and Temporal Features Based on TOPSIS Niche Evaluation Projection Model

LI Xiao-di, ZHANG Xiao-yan, YIN Shi

2020, 29(6):  198-209.  DOI: 10.12005/orms.2020.0161

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In order to clarify the development status of China's regional innovation ecosystem, a comprehensive evaluation index system of regional innovation ecosystem is established based on symbiosis unit, symbiosis matrix, symbiosis platform, symbiosis network and symbiosis environment,from the perspective of symbiosis. Taking the data of 30 provinces from 2007 to 2015 as samples and using TOPSIS niche evaluation projection model, the static and dynamic comprehensive evaluation of the development status of regional innovation ecosystem and their ecological characteristics is carried out, and spatial and temporal features, regional differences and changes of key factors are analyzed. The results show that: firstly, regional innovation ecosystem is getting better, the development of the eastern region tends to be slow and has a phenomenon of polarization, the central and western regions generally rise, and regional difference is larger but shows a decreasing trending over time; secondly, the ecological characteristics show the non-equilibrium phenomenon between regions, and the east is high and the west is low, but the temporal and spatial features are significantly heterogeneous; thirdly, the assistance of long-term development of regional innovation ecosystem has priority from symbiotic platform and symbiotic network, while the importance of symbiotic unit, symbiotic matrix and symbiotic environment is relatively weakened.

Management Science

Identification the Key Quality Characteristics in MultistageManufacturing Process Based on Improved Adaptive Lasso

WANG Ning, ZHANG Shuai, LIU Yu-min

2020, 29(6):  210-219.  DOI: 10.12005/orms.2020.0162

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To solve the problems of multiple correlations, high data dimensions, small samples existing in the key quality characteristics identification of multistage manufacturing process, the Ada-Lasso method is improved by Principle Component Regression, integrated with the state space idea and Bootstrap method to identify the key quality characteristics in multistage process. Firstly, the State Space idea is introduced to construct the identification model of key quality characteristics in multistage process; the samples are reconstructed by Bootstrap method to expand the sample size. Then, the improved Adaptive Lasso method is adopted to identify the key quality characteristics, and the effectiveness of Adaptive Lasso, Lasso, Ridge Regression and improved Adaptive Lasso is through simulation verification under different correlation degrees between quality characteristics. Finally, the application process of improved Adaptive Lasso method is illustrated by an example. The simulation and example results show that the improved Adaptive Lasso method has a good ability to identify the key quality characteristics of multistage processes, especially when there is a strong correlation between quality characteristics, it is significantly superior to the other two methods.

Research on the Impact of Consumer Fairness Preference on Manufacturer Encroachment

LIU Jing, NIE Jia-jia, YUAN Hong-ping

2020, 29(6):  220-227.  DOI: 10.12005/orms.2020.0163

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Effects of consumer fairness preference on manufacturer's launching direct channel are investigated in this paper. Firstly, the decision-making model of a manufacturer under two scenarios (i.e., without consumer fairness preference and with consumer fairness preference) is developed. Then, how the impact of consumer fairness preference would affect the optimal strategy of the manufacturer, the optimal strategy of the retailer, the willingness of the manufacturer to launch direct channel, retailer profit, and consumer surplus are examined and analyzed. It is found that when there is no consumer fairness preference and when the direct selling cost is minor, the manufacturer should launch direct channel; when the direct selling cost is large, the manufacturer should not launch direct channel. However, when there is consumer fairness preference, the manufacturer is less willing to launch direct channel. Even if there is no direct selling cost, the manufacturer may not launch direct channel if the consumer fairness preference is considered. It is also revealed that consumer fairness preference would reduce the price difference between direct channel and retail channel.

Simulation on Technological Transition Processes Based on Technological Niches: A Comparative Study on Different Patterns

XI Xi, ZHANG Lu-lu, ZHAO Jian-yu

2020, 29(6):  228-239.  DOI: 10.12005/orms.2020.0164

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On purpose of elaborating mechanisms of different technological transition pathways, we complete the agent-based simulation using NetLogo based on the theory of technological niches. The results of the research has shown that, the existence as well as the strength of exterior interference of technology is the essence in achieving technological transition through transformation pathway; the pathway of de-alignment and re-alignment would lead the niche network to reveal sectional connectedness but dominant design to appear blank; technological substitution pathway facilitates new technology to establish market power through technological niches accumulation and extension, thus gradually knocking regime technology out of the market; reconfiguration pathway has successful technological innovation as the premise and promotes the emergence of break-through innovation, implementing technological revolution at its deepest way. This research makes contribution to technological niches theory both theoretically and methodologically. Meanwhile the conclusions would provide helpful reference for policy-making in technological transition studies based on managerial practice.