scholarly journals Healthcare Supply Chain Network Coordination Through Medical Insurance Strategies with Reference Price Effect

2019 ◽  
Vol 16 (18) ◽  
pp. 3479
Author(s):  
Gao ◽  
Wang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Healthcare System ◽  
Reference Price ◽  
Medical Insurance ◽  
Patient Choice ◽  
Insurance Fund ◽  
Supply Chain Network ◽  
Price Effect ◽  
The Social

China has established the universal medical insurance system and individual out of pocket costs have decreased, however, the average healthcare expenditure of the Chinese population and the expenses of the whole society have increased substantially. One major challenge which impedes the progress of attaining sustainable development of the social healthcare system in China is that the number of hospital admissions is disproportionate. Superior hospitals are overcrowded, whereas subordinate hospitals are experiencing low admissions. In this paper, we apply the game theory model to coordinate the healthcare supply chain network, which is composed of the government, medical insurance fund, superior hospitals, subordinate hospitals and patients. Especially by taking the reference price effect into account, this paper analyzes different medical insurance reimbursement strategies and their influence on patient choice and the healthcare supply chain network. The result shows that the reference price effect increases the leverage of medical insurance, guides patients’ choice, optimizes the allocation of medical resources and reduces the medical expends. In comparison to a decentralized decision- making strategy, a centralized decision- making strategy can stimulate both superior hospital and subordinate hospital’s cooperative intentions which benefits the social healthcare system.

A Class of Level-2 Fuzzy Decision-Making Model with Expected Objectives and Chance Constraints: Application to Supply Chain Network Design

2015 ◽  
Vol 16 (04) ◽  
pp. 907-938 ◽  
Author(s):  
Xiaoyang Zhou ◽  
Yan Tu ◽  
Jing Han ◽  
Jiuping Xu ◽  
Xionghui Ye
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Network Design ◽  
General Level ◽  
Fuzzy Decision Making ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fuzzy Decision ◽  
Decision Making Model ◽  
Level 2

In this paper, we concentrate on dealing with a class of decision-making problems with level-2 fuzzy coefficients. We first discuss how to transform a level-2 fuzzy decision-making model with expected objectives and chance constrained into crisp equivalent models, then an interactive fuzzy satisfying method is introduced to obtain the decision makers satisfying solution. In addition, the technique of level-2 simulations is applied to deal with general level-2 fuzzy models which are usually hard to be converted into their crisp equivalents. Furthermore, based on the level-2 fuzzy programming, we focus on the supply chain network design problem where the total transport costs and the customer demands are assumed to be level-2 fuzzy numbers, a hybrid intelligent algorithm based on GA is used to solve the general supply chain design model. Finally, a numerical example and a case study are presented to illustrate the effectiveness of the model and the algorithm.

A decision-making model to support the design of a strategic supply chain configuration

2018 ◽  
Vol 29 (3) ◽  
pp. 515-532 ◽  
Author(s):  
Guang Song ◽  
Luoyi Sun ◽  
Yixiao Wang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Support Network ◽  
Supply Chain Network ◽  
Affecting Factors ◽  
Content Type ◽  
Supply Chain Configuration ◽  
Decision Making Model ◽  
Industry Sectors ◽  
Chain Configuration

Purpose The purpose of this paper is to apply an empirically based approach to develop a decision-making model that comprehensively incorporates the potential affecting factors and the related significant drivers that support network designers in selecting the appropriate strategic supply chain configuration or checking the coherence of an existing supply chain structure in four industry sectors. Design/methodology/approach The decision-making model is developed based on an empirical study that integrates multiple case studies and statistical analyses. In total, 113 best-in-class manufacturing firms in four sectors are studied to investigate their strategic supply chain configurations and the information of identified affecting drivers. The factor analysis and regression analysis are conducted to classify the drivers into five factor groups, and to identify the significant drivers used to develop the decision-making model. Findings The findings of this research are three-pronged. First, 12 significant drivers related to 5 factor groups affecting strategic supply chain network design (SCND) are identified. Second, a decision-making model is developed to support users in strategic SCND. Last, the main characteristics of various strategic supply chain configurations are summarized in four industry sectors. Research limitations/implications The authors identified valuable insights for both academics and practitioners based on the identified significant affecting drivers and the developed decision-making model. In addition, this study also proposes two potential research lines on the study of additional contextual affecting factors and decision issues in strategic SCND. Originality/value This study could be the first attempt to use an empirically based method to develop a decision-making model aimed at supporting the preliminary design of a supply chain network. Therefore, the drawbacks of a pure qualitative conceptual model and optimization model are eliminated.

scholarly journals Study on Benefit Coordination of Supply Chain Network Based on Green Development

2019 ◽  
Vol 16 (8) ◽  
pp. 1458
Author(s):  
Gao ◽  
Wang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Cost Sharing ◽  
Main Body ◽  
Supply Chain Network ◽  
Logistics Network ◽  
Coordination Model ◽  
Green Development ◽  
Green Index ◽  
The Cost

Based on Stackelberg's master–slave game theory and green index decision-making conditions, this paper studies the benefit coordination of a supply chain network composed of a business flow network and logistics network, discusses the decision-making behavior of the main body of the supply chain network under the performance of green contracts or speculative behavior, respectively, and further constructs the supply chain network collaborative benefit coordination model under the guidance of a manufacturer considering a green development index. The supply chain network interest coordination model analyzes the relationship between the dominant manufacturer behavior and the supply chain network green index and network profit. The results show that fulfilling green contracts helps improve the profitability and sustainability of supply chain networks. A counter-intuitive but interesting result is that the dominant manufacturers increase the cost-sharing ratio or penalties of the logistics network, which will reduce the profit level and green index of the logistics network, and increase the cost-sharing ratio or punishment of the suppliers. Strength will increase the profitability and green index of the logistics network. Finally, we validate the relevant conclusions of the model through numerical simulation analysis.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

Supply chain coordination through cooperative advertising with reference price effect

Omega ◽  
2013 ◽  
Vol 41 (2) ◽  
pp. 345-353 ◽  
Author(s):  
Juan Zhang ◽  
Qinglong Gou ◽  
Liang Liang ◽  
Zhimin Huang
Keyword(s):  
Supply Chain ◽  
Reference Price ◽  
Supply Chain Coordination ◽  
Cooperative Advertising ◽  
Price Effect

scholarly journals Research on Cooperation Strategy of Enterprises’ Quality and Safety in Food Supply Chain

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Jining Wang ◽  
Tingqiang Chen ◽  
Junyong Wang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Food Safety ◽  
Social Welfare ◽  
Food Supply ◽  
Evolutionary Game ◽  
Quality And Safety ◽  
Food Supply Chain ◽  
The Social ◽  
Cooperation Strategy

In order to prevent and control risk factors which harm the quality and safety of the food supply chain effectively and reduce the probability of food safety incidents, this paper investigated on some problems of the upstream and downstream enterprises of the food supply chain under the three different forms of cooperation based on the neoclassic economics and game theory method. These problems include the effectiveness of the quality and safety efforts, the profits, the effect of the losses that the food safety incidents caused on the quality efforts’ efficacy, and the social welfare comparison. Meanwhile, we constructed evolutionary game model to analyze the macro and micro factors that influenced the cooperation strategy and demonstrated the effect of diversity of decision-making parameters on evolution results based on numerical simulation. By the theoretical and simulation analysis, we found that (1) the quality efforts’ efficacy, the profits, the sensitivity coefficient of the quality efforts efficiency to the losses, and the social welfare without thinking about the externality all met their maximum under the full cooperation situation; (2) strengthening supervision over the source of the food supply chain can reduce the probability of food safety incidents; (3) macro and micro environment will be the important basis for companies’ decision-making on cooperation strategy in the food supply chain.

scholarly journals An approach for a sustainable decision-making in product portfolio design of dairy supply chain in terms of environmental, economic and social criteria

2021 ◽  
Author(s):  
Elisaveta Georgieva Kirilova ◽  
Natasha Vaklieva-Bancheva ◽  
Rayka Vladova ◽  
Tatyana Petrova ◽  
Boyan Ivanov ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Environmental Economic ◽  
Dairy Products ◽  
Social Impact ◽  
Negative Impact ◽  
Environmental Constraints ◽  
Economic Costs ◽  
Environment Impact ◽  
The Social

Abstract The production of dairy products is related to water and energy costs and generation of large amounts of greenhouse gas (GHG) emissions and wastewater. This has a direct bearing on the reduction of natural resources, the negative impact on the environment as well as the rise of social concerns due to increased product costs, pollution, etc. Full sustainability of this type of systems can be achieved by optimizing all activities across the chain of raw materials, through production to customers while considering all aspects of sustainability - environmental, economic and social. The study proposes a multi-objective modelling approach for optimal design of three-echelon supply chain (SC) for production of dairy products according to different recipes where all aspects of sustainability are taken into consideration. The approach was implemented on a real case study from Bulgaria. Four mix integer nonlinear programming (MINLP) optimization models were defined without and with social impact consideration. They are solved using General Algebriac Modeling System (GAMS) software. The obtained results have shown how the social impact assessment affects the obtained optimal products portfolios and profits. In these cases, varying the values of environmental constraints also affect the products portfolios and profits without affect the social costs. The stricter constraints on the environment impact leads to higher economic costs and lower profits, and conversely, high values of environmental constraints result in higher profits and lower economic costs. The obtained solutions can be used in the decision-making process to achieve social sustainability of the considered dairy supply chain.

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