A mathematical programming model in Green Construction Supply Chain Management

Author(s):  
Wang Qiuliang ◽  
Kang Haigui ◽  
Chen Dong ◽  
Zhou Pengfei
2017 ◽  
Vol 34 (05) ◽  
pp. 1750026 ◽  
Author(s):  
Yuxiang Yang ◽  
Zuqing Huang ◽  
Qiang Patrick Qiang ◽  
Gengui Zhou

A firm sets up his facilities including manufacturing/remanufacturing plants and distribution/collection centers, incorporating an existing closed-loop supply chain (CLSC) network. The entering firm has to compete with the existing firms in the existing network. The entering firm behaves as the leader of a Stackelberg game while the existing firms in the existing network are followers. We assume that the entering firm can anticipate the existing firms’ reaction to his potential location decision before choosing his optimal policy. We use a CLSC network equilibrium model in which the decision makers are faced with multiple objectives to capture the existing firms’ reaction. A mathematical programming model with equilibrium constraints is developed for this competitive CLSC network design problem by taking into account the market competition existing in the decentralized CLSC network. A solution method is developed by integrating Genetic algorithm with an inexact logarithmic-quadratic proximal augmented Lagrangian method. Finally, numerical examples and the related results are studied for illustration purpose.


2019 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
M.M. HARIS ASLAM ◽  
KAMRAN RASHID ◽  
TASHFEEN M. AZHAR

Supply chain management and optimization is a critical aspect of modern enterprises and an expanding area of research. Modeling and optimization are the traditional tools of supply chain management. The techniques have been used by many companies for planning, manufacturing, and other decision areas in supply chains. Current study is motivated by the fact that optimization studies in supply chain management have mostly considered network optimization. Supply chain management however, requires alignment between the supply chain partners at the tactical level. As a first step towards achieving this goal, current study presents a model that incorporates the activity level planning at the focal firm in a supply chain. This paper presents a new mixed integer programming model that incorporates optimization of production planning at the focal firm while optimizing the strategic alignment of the supply chain entities. The model represents a four step, multi-echelon supply chain including supplier, warehouse, manufacturer, and retailer. The manufacturer in this network represents the focal firm. This model is an attempt to integrate the production planning decisions in the network optimization decisions.


Author(s):  
Jonah C. Tyan

This chapter introduces the applications of collaborative transportation and consolidation management in global third-party logistics. These practices are driven by the quest to improve service and reduce cost simultaneously under an e-commerce model of global supply chain management. The detailed development and elements of collaborative transportation and consolidation models are discussed along with case illustrations. Furthermore, a quantitative model using mathematical programming is developed to examine various consolidation policies in a global third-party logistics provider. A case using collaborative consolidation management is presented, and the results show a 6.6% and 18.2% improvement for service and cost comparing with existing practice. The collaborative principles and developed consolidation model can be a useful reference for similar applications.


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