Integrated Production/Distribution/Routing Planning for Supply Chain Networks: A Review

2015 ◽  
pp. 43-86
Author(s):  
Lei Lei ◽  
Rosa Oppenheim ◽  
Lian Qi ◽  
Hui Dong ◽  
Kangbok Lee ◽  
...  
Keyword(s):  
Supply Chain ◽  
Integrated Production ◽  
Supply Chain Networks ◽  
Production Distribution

Profit Maximizing Network Modeling With Inventory and Capacity Considerations

2018 ◽  
pp. 5503-5515
Author(s):  
Tan Miller ◽  
Renato de Matta
Keyword(s):  
Supply Chain ◽  
Network Modeling ◽  
Demand Management ◽  
Global Supply Chain ◽  
Optimization Models ◽  
Business Decisions ◽  
Supply Chain Networks ◽  
Strategic Trade ◽  
Trade Offs ◽  
Production Distribution

Developing integrated strategic, tactical and operational manufacturing and distribution plans for the global supply chain of a large, international firm represents a formidable planning, as well as organizational undertaking. Moreover, to develop and execute plans that are not only integrated, but which maximize profits on a global basis presents a challenge of far greater magnitude. The use of advanced optimization modeling based analytics can generate keen insights for management decisions regarding sourcing, production, distribution, inventory and demand management on supply chain networks. This includes scenario and contingency planning analyses of complex strategic trade-offs such as the optimal balance between inventory levels and reserve manufacturing capacity on a network. In this chapter, we illustrate how optimization models can support a firm's planning efforts for these and related supply chain business decisions.

Profit Maximizing Network Modeling With Inventory and Capacity Considerations

2019 ◽  
pp. 1171-1185
Author(s):  
Tan Miller ◽  
Renato de Matta
Keyword(s):  
Supply Chain ◽  
Network Modeling ◽  
Demand Management ◽  
Global Supply Chain ◽  
Optimization Models ◽  
Business Decisions ◽  
Supply Chain Networks ◽  
Strategic Trade ◽  
Trade Offs ◽  
Production Distribution

Developing integrated strategic, tactical, and operational manufacturing and distribution plans for the global supply chain of a large, international firm represents a formidable planning, as well as organizational undertaking. Moreover, to develop and execute plans that are not only integrated but which maximize profits on a global basis presents a challenge of far greater magnitude. The use of advanced optimization modeling-based analytics can generate keen insights for management decisions regarding sourcing, production, distribution, inventory, and demand management on supply chain networks. This includes scenario and contingency planning analyses of complex strategic trade-offs such as the optimal balance between inventory levels and reserve manufacturing capacity on a network. In this chapter, the authors illustrate how optimization models can support a firm's planning efforts for these and related supply chain business decisions.

A Memetic Algorithm for Integrated Production Distribution Problem in a Supply Chain

2021 ◽  
pp. 198-224
Author(s):  
Nihan Kabadayi
Keyword(s):  
Supply Chain ◽  
Memetic Algorithm ◽  
Real Life ◽  
Data Sets ◽  
Distribution Problem ◽  
Setup Cost ◽  
Integrated Production ◽  
Holding Costs ◽  
Life Problems ◽  
Production Distribution

Supply chain is a complex system in which most of the activities are inter-related, and changes in one of these activities can affect the performance of the other processes. Thus, integrated management strategies in a supply chain can yield considerable advantages throughout the system as supply chain members and customers become more integrated. In this study, a memetic algorithm is proposed to solve the integrated production-distribution problem. The objective of the problem is to find optimal production quantity, customer delivery quantity, and schedule to minimize the total system cost, which is composed of production setup cost and variable production cost, inventory holding costs, and distribution cost. The effectiveness of the proposed algorithm is tested on the existing data sets. According to test results, the proposed algorithm is a very effective method to solve integrated production-distribution problems. To assess to benefits and applicability of the method on the real-life problems, a case study is conducted in a Turkish water manufacturing company.

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