Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution

2018 ◽  
Vol 46 ◽  
pp. 29-45 ◽  
Author(s):  
Amir Noroozi ◽  
Mohammad Mahdavi Mazdeh ◽  
Mehdi Heydari ◽  
Morteza Rasti-Barzoki
Keyword(s):  
Third Party ◽  
Third Party Logistics ◽  
Order Acceptance ◽  
Integrated Production ◽  
Logistics Distribution ◽  
Batch Delivery ◽  
Distribution Scheduling ◽  
Production Distribution

scholarly journals Integrated Production-Distribution Scheduling Problem with Multiple Independent Manufacturers

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Jianhong Hao ◽  
Lisi Cao ◽  
Dakui Jiang
Keyword(s):  
Public Service ◽  
Parallel Machines ◽  
Programming Model ◽  
Mixed Integer ◽  
Scheduling Problem ◽  
Production Schedule ◽  
Integrated Production ◽  
Batch Delivery ◽  
Distribution Scheduling ◽  
Production Distribution

We consider the nonstandard parts supply chain with a public service platform for machinery integration in China. The platform assigns orders placed by a machinery enterprise to multiple independent manufacturers who produce nonstandard parts and makes production schedule and batch delivery schedule for each manufacturer in a coordinate manner. Each manufacturer has only one plant with parallel machines and is located at a location far away from other manufacturers. Orders are first processed at the plants and then directly shipped from the plants to the enterprise in order to be finished before a given deadline. We study the above integrated production-distribution scheduling problem with multiple manufacturers to maximize a weight sum of the profit of each manufacturer under the constraints that all orders are finished before the deadline and the profit of each manufacturer is not negative. According to the optimal condition analysis, we formulate the problem as a mixed integer programming model and use CPLEX to solve it.

scholarly journals Distribution Service Competition with the Consideration of Different Consumer Behaviors

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Rong Yu ◽  
Zhong Wu ◽  
Shaojian Qu
Keyword(s):  
Stackelberg Game ◽  
Mathematical Optimization ◽  
Third Party ◽  
Third Party Logistics ◽  
Service Competition ◽  
Logistics Distribution ◽  
Real Scene ◽  
Game Situation ◽  
Logistics Mode ◽  
Distribution Mode

Logistics distribution plays an important role in the operation of e-commerce firms. This paper considers two logistics distribution modes with service competition: the e-commerce platform self-distribution (SDL) mode and third-party logistics (TPL) mode. By introducing consumer behavior into the model, we examine the competition between two firms with the same functionalities in the context of e-commerce. According to the real scene, we build the corresponding mathematical optimization model. Each firm needs to decide a logistics distribution mode and a corresponding price for the selected logistics mode. We first analyze the two firms chosen logistics modes and prices simultaneously and then extend it to Stackelberg game situation. We find out the optimal strategy for two firms. Finally, we propose numerical analysis to identify our models and provide a series of managerial insights.

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