scholarly journals Store-Assistance Management for a Supply Chain with Consumer Return under Consignment Contract

2017 ◽  
Vol 2017 ◽  
pp. 1-12
Author(s):  
Zhihui Wu ◽  
Dongyan Chen ◽  
Hui Yu
Keyword(s):  
Differential Equation ◽  
Optimal Control ◽  
Supply Chain ◽  
Service Level ◽  
Control Model ◽  
Feasible Region ◽  
Optimal Pricing ◽  
Stage Game ◽  
Assistance Service ◽  
Service Strategies

In this paper, the strategy problems of pricing and store-assistance service investment are investigated for a supply chain with consumer return, where the considered supply chain under consignment contract consists of a single manufacturer and a single retailer. Firstly, we use differential equation to model the evolution of store-assistance service level and depict the effect of store-assistance service level on the return rate. By applying two-stage game, both optimal pricing and store-assistance service strategies are obtained based on the presented optimal control model. Subsequently, the committed dynamic consignment price contract is designed to coordinate and improve the performance of supply chain. Finally, a numerical example is provided to illustrate the impacts of the effectiveness of store-assistance service level and decay rate on the feasible region of corresponding contract.

Inventory Control and Replenishment of Multi-Product Multi-Echelon Based on Time Cost Under JMI Environment

2013 ◽  
Vol 5 (2) ◽  
pp. 19-30
Author(s):  
Zhi Chen ◽  
Chao Ren ◽  
Ren-long Zhang ◽  
Mi-Yuan Shan
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Service Level ◽  
Control Model ◽  
Management Tool ◽  
Time Cost ◽  
Inventory Cost ◽  
Inventory Costs ◽  
Total Inventory ◽  
Replenishment Strategy

Joint managed inventory is an advanced supply chain inventory management tool, which will effectively tackle the complicated problem between the inventory cost of supply chain and service level. The research on inventory model and its’ control under JMI environment is a hot issue at present. In this paper, the authors deeply discuss the question of the inventory time costs about the multi-product and multi-echelon control model and its’ replenishment strategy under JMI environment. With considering the foundation of JMI and time cost, the authors propose the multi-product multi-echelon inventory cost control model under time cost. Then formulate corresponding replenishment strategy. At last, through a numerical example, the authors discover that the multi-product multi-echelon joint inventory management based on time cost can effectively reduce the total inventory costs and improve the competitiveness of the entire supply chain.

scholarly journals Pricing and Logistics Service Decisions in Platform-Led Electronic Closed-Loop Supply Chain with Remanufacturing

2021 ◽  
Vol 13 (20) ◽  
pp. 11357
Author(s):  
Kai Liu ◽  
Chunfa Li ◽  
Runde Gu
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Service Level ◽  
Optimal Choice ◽  
Third Party ◽  
Optimal Pricing ◽  
Closed Loop Supply Chain ◽  
Pricing Decisions ◽  
Logistics Service ◽  
The Third

With the continuous development of e-commerce, it has become normal for the manufacturer to sell products and to collect used products through e-commerce platforms (platform for short). We consider an electronic closed-loop supply chain (E-CLSC) where we composed a manufacturer with remanufacturing capability and a platform that can provide logistics services. The purpose of this paper is to address whether the manufacturer should directly collect used products from the consumer under the platform. Specifically, we have developed four game models, namely model N (no collection), model M (the manufacturer collects), model E (the platform collects), and model T (the third-party collects) and derived the optimal pricing decisions, logistics service level, and collection rate for E-CLSC members. We found that remanufacturing used products is conducive to increasing the profits of the manufacturer and the platform as well as to increasing the utility of the consumer. Under the same conditions, for the manufacturer, the platform, and the consumer, the optimal choice is that the manufacturer directly collects the used products from the consumer. If the manufacturer is unable to establish an effective collection channel, he should consider outsourcing to a contractor and should consider the platform to be under the same conditions. Numerical examples are also given to verify the proposed results.

scholarly journals Extension of ADMMAlgorithmin Solving Optimal Control Model Governed by Partial Differential Equation

2021 ◽  
pp. 105-115
Author(s):  
Kazeem adebowale Dawodu
Keyword(s):  
Differential Equation ◽  
Partial Differential Equation ◽  
Optimal Control ◽  
Control Model ◽  
Partial Differential ◽  
One Dimensional ◽  
Alternating Direction ◽  
Primal Dual ◽  
Discrete Convex ◽  
The One

This paper presents an Algorithm for the numerical solution of the Optimal Control model constrained by Partial Differential Equation using the Alternating Direction Method of Multipliers (ADMM) accelerated with a parameter factor in the sense of Nesterov. The ADMM tool wasapplied to a partial differential equation-governed optimization problem of the one-dimensional heat equation type. The constraint and objective functions of the optimal control model were discretized using the Crank-Nicolson and Composite Simpson’s Methods respectively into a derived discrete convex optimization form amenable to the ADMM. The primal-dual residuals were derived to ascertain the rate of convergence of themodel for increasing iterates. An existing example was used to test the efficiency and degree of accuracy of the algorithm and the results were favorable when compared the existing method.

scholarly journals A Multi-Echelon Network Design in a Dual-Channel Reverse Supply Chain Considering Consumer Preference

2021 ◽  
Vol 18 (9) ◽  
pp. 4760
Author(s):  
Peng Li ◽  
Di Wu
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Environmental Sustainability ◽  
Rapid Development ◽  
Consumer Preference ◽  
Service Level ◽  
Mixed Integer ◽  
Reverse Supply Chain ◽  
Related Factors ◽  
Dual Channel

The rapid development of e-commerce technologies has encouraged collection centers to adopt online recycling channels in addition to their existing traditional (offline) recycling channels, such the idea of coexisting traditional and online recycling channels evolved a new concept of a dual-channel reverse supply chain (DRSC). The adoption of DRSC will make the system lose stability and fall into the trap of complexity. Further the consumer-related factors, such as consumer preference, service level, have also severely affected the system efficiency of DRSC. Therefore, it is necessary to help DRSCs to design their networks for maintaining competitiveness and profitability. This paper focuses on the issues of quantitative modelling for the network design of a general multi-echelon, dual-objective DRSC system. By incorporating consumer preference for the online recycling channel into the system, we investigate a mixed integer linear programming (MILP) model to design the DRSC network with uncertainty and the model is solved using the ε-constraint method to derive optimal Pareto solutions. Numerical results show that there exist positive correlations between consumer preference and total collective quantity, online recycling price and the system profits. The proposed model and solution method could assist recyclers in pricing and service decisions to achieve a balance solution for economic and environmental sustainability.

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