scholarly journals Optimizing the Two-Stage Supply Chain Inventory Model with Full Information Sharing and Two Backorders Costs Using Hybrid Geometric-Algebraic Method

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Mohamed E. Seliaman

We consider the case of a two-stage serial supply chain system. This supply chain system involves a single vendor who supplies a single buyer with a single product. The vendor’s production rate is assumed finite. In addition, the demand at the buyer is assumed deterministic. In order to coordinate their replenishment policies and jointly optimize their operational costs, the two supply chain partners fully share their relevant information. For this purpose, we develop an integrated inventory replenishment model assuming linear and fixed backorders costs. Then, we use a hybrid geometric-algebraic method to drive the optimal replenishment policy and the minimum supply chain total cost in a closed form.

2018 ◽  
Vol 19 (1) ◽  
pp. 58
Author(s):  
Faisal Ibrahim

In this paper, we developed model integrated supply chain model with drop-shipper players.  The aim of the study is to integrate players in the supply chain system that one of its players is a drop shipper. This coordination model considers the policy of late payment and prosecution for delivery of goods. Previous, The author has described the supply chain system in detail. The experiments were conducted into different case scenarios, where each scenario would represent the actual system that occurred. Then also conducted sensitivity analysis on some predicted variables significantly influence the total cost of the supply chain. From the results obtained, it can be concluded that coordination with consideration of delay in payment and penalty contract for drop ship has successfully integrated the players in the supply chain system under study. This can be proved by the lower total cost of the supply chain when it is integrated with that consideration.


2018 ◽  
Vol 19 (1) ◽  
pp. 58
Author(s):  
Faisal Ibrahim

In this paper, we developed model integrated supply chain model with drop-shipper players.  The aim of the study is to integrate players in the supply chain system that one of its players is a drop shipper. This coordination model considers the policy of late payment and prosecution for delivery of goods. Previous, The author has described the supply chain system in detail. The experiments were conducted into different case scenarios, where each scenario would represent the actual system that occurred. Then also conducted sensitivity analysis on some predicted variables significantly influence the total cost of the supply chain. From the results obtained, it can be concluded that coordination with consideration of delay in payment and penalty contract for drop ship has successfully integrated the players in the supply chain system under study. This can be proved by the lower total cost of the supply chain when it is integrated with that consideration.


2021 ◽  
Author(s):  
Yan-Kuen Wu ◽  
Ching-Feng Wen ◽  
Yuan-Teng Hsu ◽  
Ming-Xian Wang

Abstract Fuzzy relational inequalities composed by the min-product operation are established to model the optimal pricing with fixed priority in a single product supply chain system. The solution algorithm has been proposed for solving such an optimization problem and finding the optimal solution (is called lexicographic maximum solution). In this study, a novel approach is proposed to finding the optimal pricing with fixed priority in a single product supply chain system. This approach is based on new properties of solution set in a min-product fuzzy relational inequality. These new properties allow us directly determine the optimal value of variable without many duplicate checks in the solution procedure. A numerical example is provided to illustrate the procedure.


Author(s):  
MOHAMMADALI PIRAYESH ◽  
MOHAMMAD MODARRES YAZDI

In this paper a two level supply chain system is studied, in which the final demand is assumed to be fuzzy with triangular membership function. The inventory control policy of (r, Q) is followed for this system and unsatisfied demand is assumed to be back ordered. The objective is to minimize the total cost of the system, including ordering, holding and shortage costs. The model happens to be a nonlinear programming. Considering the complexity arising from the model, we also develop a genetic algorithm to obtain a near-optimal solution. The method is illustrated through some numerical examples.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Songtao Zhang ◽  
Panpan Zhang ◽  
Min Zhang

For random distributors under supply disruptions caused by emergency incidents, a fuzzy emergency model and a robust emergency strategy of the supply chain system are studied. First, for a kind of supply chain system composed of a strategic manufacturer, a backup manufacturer, and multiple distributors, the basic emergency models, including the inventory models and a total cost model, are constructed under random supply disruptions. Then, based on the Takagi-Sugeno fuzzy system, the basic emergency models of the supply chain system are converted into a discrete switching model, which can realize soft switching among the basic emergency models. Furthermore, according to the different inventory levels, the strategic manufacturer’s production strategies and the distributors’ ordering strategies are designed to reduce the inventory costs of the node enterprises in supply chain system. Second, by defining a discrete piecewise Lyapunov function in each maximal overlapped-rules group, a new fuzzy robust emergency strategy for the supply chain system is proposed through the principle of parallel distributed compensation. This emergency strategy can not only restore the impaired supply chain to the normal operation state but also keep the total cost of the supply chain at a low level and guarantee the robust stability of the emergency supply chain system. Finally, the simulation results illustrate the effectiveness of the proposed fuzzy robust emergency strategy of the supply chain system.


2015 ◽  
Vol 77 (5) ◽  
Author(s):  
Mohd Kamarul Irwan Abdul Rahim ◽  
Santhirasegaran a/l S.R. Nadarajan ◽  
Mohd Rizal Razalli

In a two-stage supply chain system, vendor managed inventory (VMI) policies is an integrating decisions between a supplier and his retailers. The supplier assumes the responsibility of maintaining inventory at its retailers and ensuring that they will not run out of stock at any moment. This paper discusses an optimization approach, considering the model of static demand on the inbound as well as the outbound inventory for a two-stage supply chain implementing VMI. In the proposed solutions for coordinating the single-warehouse multiple-retailers (SWMR) system, retailers are first clustered to minimize the within-cluster travel costs and distances and are then replenished using an optimal direct shipping strategy satisfying some additional restrictions.


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