A single manufacturer multiple buyers integrated production-inventory model with third-party logistics

2020 ◽  
Vol 11 (2) ◽  
pp. 91
Author(s):  
Susheel Yadav ◽  
Anil Kumar Agrawal ◽  
Manu K. Vora
Keyword(s):  
Inventory Model ◽  
Third Party ◽  
Third Party Logistics ◽  
Integrated Production ◽  
Production Inventory ◽  
Multiple Buyers

scholarly journals Designing a single-vendor and multiple-buyers' integrated production inventory model for interval type-2 fuzzy demand and fuzzy rule based deterioration

2021 ◽  
Author(s):  
Chayanika Rout ◽  
Ravi Shankar Kumar ◽  
Arjun Paul ◽  
Debjani Chakraborty ◽  
Adrijit Goswami
Keyword(s):  
Fuzzy Rule ◽  
Inventory Model ◽  
Approximation Formula ◽  
Integrated Production ◽  
Single Vendor ◽  
Production Inventory ◽  
Integrated Cost ◽  
Interval Type ◽  
Multiple Buyers

In this paper, a single-vendor and multiple-buyers' integrated production inventory model is investigated where deterioration rate of the item is assumed to change in accordance with the weather conditions of a particular region. It relies upon the values of certain attributes that have a direct influence on the extent of deterioration. These parameter values are easily forecasted and thereby can be utilized to determine the item depletion rate, which is executed here using Mamdani fuzzy inference scheme. Besides, a nearest interval approximation formula for the defuzzification of interval type-2 fuzzy number (IT2FN) is developed. Its application in the proposed model is brought off by considering imprecise demand patterns at the buyers' locations which are in the form of IT2FNs. The model optimizes the total number of shipments to be made to the buyers within a complete cycle so as to minimize the overall integrated cost incurred. An optimization problem with interval objective function is formulated. A detailed illustration of the theoretical results is further demonstrated with the help of numerical example, followed by sensitivity analysis which provides insights into better decision making.

scholarly journals Simulation and Analysis of the Complex Behavior of Supply Chain Inventory System Based on Third-Party Logistics Management Inventory Model with No Accumulating of Unsatisfied Demand

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Zusheng Zhang ◽  
Xu Wang ◽  
Qianqian Guo ◽  
Zhenrui Li ◽  
Yingbo Wu
Keyword(s):  
Supply Chain ◽  
Inventory Model ◽  
Third Party ◽  
Logistics Management ◽  
Practical Significance ◽  
Largest Lyapunov Exponent ◽  
Reconstruction Method ◽  
Third Party Logistics ◽  
Supply Chain System ◽  
Unsatisfied Demand

Under the third-party logistics management inventory model, the system dynamics method is used to establish a nonlinear supply chain system model with supply capacity limitation and nonpermissible return, which is based on unsatisfied demand nonaccumulation. The theory of singular value and the Jury Test are used to derive the stable interval of the model which is simplified. The Largest Lyapunov Exponent (LLE) of the system is calculated by the Wolf reconstruction method and used to analyze the influence of different parameters of system’s stability. Then, the most reasonable and unreasonable combination of decision parameters under different demand environment is found out. Next, this paper compared and analyzed the change of inventory or transportation volume of system members under the combination of rational and irrational decision parameters. All of these provided guidance for decision making, which shows an important practical significance.

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