Network design for cylinder gas distribution
| Autor: | Philippe Briet, Tejinder Pal Singh, Nicoleta Neagu, Michele Quattrone |
|---|---|
| Jazyk: | Catalan; Valencian |
| Rok vydání: | 2015 |
| Předmět: |
Optimization
Engineering Mathematical optimization lcsh:T55.4-60.8 Strategy and Management Supply chain Economia i organització d'empreses::Direcció d’operacions::Modelització de transports i logística [Àrees temàtiques de la UPC] Packaged gases lcsh:Business Industrial and Manufacturing Engineering Gestió d'estocs Decomposition approach lcsh:Social Sciences Business logistics Mixed integer linear programming ddc:650 Decomposition (computer science) lcsh:Industrial engineering. Management engineering Heuristics Network design lcsh:Commerce Gas -- Distribució business.industry Inventory management Gas distribution Network planning and design lcsh:H Range (mathematics) Test case lcsh:HF1-6182 Logística (Indústria) -- Models matemàtics Network Design Optimization Location-Routing Packaged Gases Inventory Management Decomposition Approach Heuristics Mixed Integer Linear Programming Model Benchmark (computing) mixed integer linear programming model business lcsh:HF5001-6182 Location-routing Integer (computer science) |
| Zdroj: | Journal of Industrial Engineering and Management; 2015: Vol.: 8 Núm.: 1 UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Journal of Industrial Engineering and Management, Vol 8, Iss 1, Pp 85-109 (2015) |
| Popis: | Purpose: Network design of the supply chain is an important and strategic aspect of logistics management. In this paper, we address the network design problem specific to packaged gases (cylinder) supply chain. We propose an integrated framework that allows for the determination of the optimal facility locations, the filling plant production capacities, the inventory at plants and hubs, and the number of packages to be routed in primary and secondary transportation. Design/methodology/approach: We formulate the problem as a mixed integer program and then develop a decomposition approach to solve it. We illustrate the proposed framework with numerical examples from real-life packaged gases supply chain. The results show that the decomposition approach is effective in solving a broad range of problem sizes. Findings: The main finding of this paper is that decomposing the network design problem into two sub-problems is very effective to tackle the real-life large scale network design problems occurring in cylinder gas distribution by optimizing strategic and tactical decisions and approximating the operational decisions. We also benchmark the results from the decomposition approach by solving the complete packaged gases network design model for smaller test cases. Originality/value: The main contribution of our work is that it integrates supply chain network design decisions without fixing the fillings plant locations with inventory and resource allocation decisions required at the plants. We also consider the transportation costs for the entire supply chain including the transhipment costs among different facilities by deciding the replenishment frequency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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