Profit Maximizing Network Modeling With Inventory and Capacity Considerations

Author(s):  
Tan Miller ◽  
Renato de Matta

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.

Author(s):  
Tan Miller ◽  
Renato de Matta

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.


2016 ◽  
Vol 48 (2) ◽  
pp. 288-306 ◽  
Author(s):  
Rahul C. Basole ◽  
Marcus A. Bellamy ◽  
Hyunwoo Park

Author(s):  
Mohsen Varsei ◽  
Katherine Christ ◽  
Roger Burritt

Purpose Given that currently around ten billion litres of wine are transported long distances to overseas consumers per year, the purpose of this paper is to provide a foundation for understanding the trade-offs between cost, water usage and carbon emissions in decisions about the location of wine bottling plants in a global supply chain. Design/methodology/approach This paper presents a case-based analytical modelling study and employs actual data from one of Australia’s major wine companies. A descriptive analytical model is developed for assessing wine supply chain scenarios using three indicators of economic and environmental impacts – supply chain cost, risk-weighted water usage and carbon emissions. Findings The research highlights trade-offs required when considering optimal supply chain design, and finds possibilities for reshaping a global wine supply chain in order to improve the selected economic and environmental impacts. Originality/value The originality of this paper lies in its analytical focus on examining the interplay between supply chain cost, risk-weighted water usage and carbon emissions in a global supply chain, which has not previously been addressed.


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