scholarly journals An Algebraic Decision Support Model for Inventory Coordination in the Generalized n-Stage Non-Serial Supply Chain with Fixed and Linear Backorders Costs

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1998
Author(s):  
Mohamed Seliaman ◽  
Leopoldo Cárdenas-Barrón ◽  
Sayeed Rushd

This paper extends and generalizes former inventory models that apply algebraic methods to derive optimal supply chain inventory decisions. In particular this paper considers the problem of coordinating production-inventory decisions in an integrated n-stage supply chain system with linear and fixed backorder costs. This supply chain system assumes information symmetry which implies that all partners share their operational information. First, a mathematical model for the supply chain system total cost is formulated under the integer multipliers coordination mechanism. Then, a recursive algebraic algorithm to derive the optimal inventory replenishment decisions is developed. The applicability of the proposed algorithm is demonstrated using two different numerical examples. Results from the numerical examples indicate that adopting the integer multiplier mechanism will reduce the overall total system cost as compared to using the common cycle time mechanism.

2018 ◽  
Vol 10 (12) ◽  
pp. 4738 ◽  
Author(s):  
Xiaodong Zhu ◽  
Lingfei Yu ◽  
Ji Zhang ◽  
Chenliang Li ◽  
Yizhao Zhao

The remanufacturing warranty strategy has become an effective mechanism for reducing consumer risk and stimulating market demand in closed-loop supply chain management. Based on the characteristics of consumers’ behavior of purchase decisions, this paper studies the warranty decision model of remanufacturing closed-loop supply chain under the Stackelberg game model. The present study discussed and compared the decision variables, including remanufacturing product pricing, extended warranty service pricing, warranty period and supply chain system profit. The research shows that consumers’ decision-making significantly affirms the dual marginalization effect of the supply chain system while significantly affecting the supply chain warranty decision; the improved revenue sharing contract and the two charge contracts respectively coordinates the manufacturer-led and retail-oriented closed-loop supply chain system, which effectively implements the Pareto improvement of the closed-loop supply chain system with warranty services. In the present study, the model is verified and analyzed by numerical simulation.


2018 ◽  
Vol 11 (5) ◽  
pp. 551 ◽  
Author(s):  
Wakhid Ahmad Jauhari ◽  
Oktiviandri Hendaryani ◽  
Nughthoh Arfawi Kurdhi

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Nai-Ru Xu ◽  
Zheng-Qun Cai

Considering the coexistence of cold chain agro-products and ordinary agro-products in the market, the research object is the cold chain logistics subsidy. It is designed that a supply chain system consisting of duopoly upstream agro-products suppliers and a downstream agro-products retailer for research. The mechanism of cold chain logistics subsidy is studied by analyzing the influence of cold chain subsidy on pricing behavior and cold chain decision-making of cold chain agro-products and ordinary agro-products. Based on the decentralized decision-making model without government subsidy, a differential pricing model for cold chain agro-products and ordinary agro-products with government subsidy is established in order to reduce the cost of cold chain agro-products. The optimal pricing strategy of two agro-products suppliers and their downstream retailer can be obtained by solving this problem. The research finds that differential pricing caused by government subsidy can achieve profit Pareto improvement of suppliers, retailer, and supply chain system of cold chain agro-products, but cannot achieve the optimal profit of the whole supply chain. Therefore, in view of the loss of supply chain efficiency caused by decentralized decision-making, the Shapley value method is used to make coordination, and the contract coordination mechanism is designed. Finally, the sensitivity of parameters is analyzed by a numerical example.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hung-Chang Liao ◽  
Meng-Hao Chen ◽  
Ya-huei Wang

This study proposed the optimal parameter settings for the hospital supply chain system (HSCS) when either the total system cost (TSC) or patient safety level (PSL) (or both simultaneously) was considered as the measure of the HSCS’s performance. Four parameters were considered in the HSCS: safety stock, maximum inventory level, transportation capacity, and the reliability of the HSCS. A full-factor experimental design was used to simulate an HSCS for the purpose of collecting data. The response surface method (RSM) was used to construct the regression model, and a genetic algorithm (GA) was applied to obtain the optimal parameter settings for the HSCS. The results show that the best method of obtaining the optimal parameter settings for the HSCS is the simultaneous consideration of both the TSC and the PSL to measure performance. Also, the results of sensitivity analysis based on the optimal parameter settings were used to derive adjustable strategies for the decision-makers.


Author(s):  
Xue-Mei Zhang ◽  
Ying-Ying Li ◽  
Zhi Liu ◽  
Qian-Wen Li

To study the impact of advertising cooperation on the decisions of dual-channel supply chain, a dual-channel supply chain system consisting of a single manufacturer and a single retailer is considered. The manufacturer can sell products to customers either through a direct marketing channel or through a traditional retail channel. This paper analyses the level of advertising investment and supply chain profits of centralized and decentralized dual-channel supply chains based on a Stackelberg game. Then, the decision models of dual-channel supply chain under different contracts are constructed, and how manufacturers can optimize the profits of both sides through an effective coordination mechanism is analyzed. The research results show that the improved advertising costs and revenue sharing contract can perfectly coordinate the dual-channel supply chain system. Numerical experiments illustrate the impacts of parameters on the optimal decision results.


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