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Product decomposition strategy for optimization of supply chain planning

Frontiers of Engineering Management 2018年第4期5卷 466-478页

作者： braulio brunaud Maria Paz OCHOA Ignacio E.GROSSMANN Department of Chemical Engineering Carnegie Mellon University

Optimization of large-scale supply chain planning models requires the application of decomposition strategies to reduce the computational expense. Two major options are to use either spatial or temporal Lagrangean decomposition. In this paper, to further reduce the computational expense a novel decomposition scheme by products is presented. The decomposition is based on a reformulation of knapsack constraints in the problem. The new approach allows for simultaneous decomposition by products and by time periods, enabling the generation of a large number of subproblems, that can be solved by using parallel computing. The case study shows that the proposed product decomposition exhibits similar performance as the temporal decomposition, and that selecting different orders of products and aggregating the linking constraints can improve the efficiency of the algorithm.

关键词： supply chain planning Lagrangean decomposition mixed-integer programming

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Perspectives in multilevel decision-making in the process industry

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Frontiers of Engineering Management 2017年第3期4卷 256-270页

作者： braulio brunaud Ignacio E.GROSSMANN Carnegie Mellon University

Decisions in supply chains are hierarchically organized. Strategic decisions involve the long-term planning of the structure of the supply chain *** decisions are mid-term plans to allocate the production and distribution of materials, while operational decisions are related to the daily planning of the execution of manufacturing operations. These planning processes are conducted independently with minimal exchange of information between them. Achieving a better coordination between these processes allows companies to capture benefits that are currently out of their reach and improve the communication among their functional areas. We propose a network representation for the multilevel decision structure and analyze the components that are involved in finding integrated solutions that maximize the sum of the benefits of all nodes of the decision *** such task is very challenging, significant research progress has been made in each component of this structure. An overview of strategic models, mid-term planning models, and scheduling models is presented to address the solution of each node in the decision *** mechanisms for converging the integrated solutions are also analyzed, including solving large-scale models, multiobjective optimization, bi-level programming, and decomposition. We conclude by summarizing the challenges that hinder the full integration of multilevel decision making in supply chain management.

关键词： supply chain optimization enterprise-wide optimization multilevel optimization planning scheduling

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