Network design for cylinder gas distribution
<div class="WordSection1"><p><strong>Purpose:</strong> 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 propos...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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OmniaScience
2015-01-01
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| Series: | Journal of Industrial Engineering and Management |
| Subjects: | |
| Online Access: | http://www.jiem.org/index.php/jiem/article/view/1140 |
| _version_ | 1818268953355485184 |
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| author | Tejinder Pal Singh Nicoleta Neagu Michele Quattrone Philippe Briet |
| author_facet | Tejinder Pal Singh Nicoleta Neagu Michele Quattrone Philippe Briet |
| author_sort | Tejinder Pal Singh |
| collection | DOAJ |
| description | <div class="WordSection1"><p><strong>Purpose:</strong> 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.</p> <p><strong>Design/methodology/approach:</strong> 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.</p> <p><strong>Findings:</strong> 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.</p> <p><strong>Originality/value:</strong> 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.</p></div> |
| first_indexed | 2024-12-12T20:46:41Z |
| format | Article |
| id | doaj.art-21cb8306b1aa4994a10383ff2bf53d3c |
| institution | Directory Open Access Journal |
| issn | 2013-8423 2013-0953 |
| language | English |
| last_indexed | 2024-12-12T20:46:41Z |
| publishDate | 2015-01-01 |
| publisher | OmniaScience |
| record_format | Article |
| series | Journal of Industrial Engineering and Management |
| spelling | doaj.art-21cb8306b1aa4994a10383ff2bf53d3c2022-12-22T00:12:34ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532015-01-01818510910.3926/jiem.1140323Network design for cylinder gas distributionTejinder Pal Singh0Nicoleta Neagu1Michele Quattrone2Philippe Briet3Air LiquideAir LiquideAir LiquideAir Liquide<div class="WordSection1"><p><strong>Purpose:</strong> 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.</p> <p><strong>Design/methodology/approach:</strong> 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.</p> <p><strong>Findings:</strong> 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.</p> <p><strong>Originality/value:</strong> 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.</p></div>http://www.jiem.org/index.php/jiem/article/view/1140Network Design, Optimization, Location-Routing, Packaged Gases, Inventory Management, Decomposition Approach, Heuristics, Mixed Integer Linear Programming Model. |
| spellingShingle | Tejinder Pal Singh Nicoleta Neagu Michele Quattrone Philippe Briet Network design for cylinder gas distribution Journal of Industrial Engineering and Management Network Design, Optimization, Location-Routing, Packaged Gases, Inventory Management, Decomposition Approach, Heuristics, Mixed Integer Linear Programming Model. |
| title | Network design for cylinder gas distribution |
| title_full | Network design for cylinder gas distribution |
| title_fullStr | Network design for cylinder gas distribution |
| title_full_unstemmed | Network design for cylinder gas distribution |
| title_short | Network design for cylinder gas distribution |
| title_sort | network design for cylinder gas distribution |
| topic | Network Design, Optimization, Location-Routing, Packaged Gases, Inventory Management, Decomposition Approach, Heuristics, Mixed Integer Linear Programming Model. |
| url | http://www.jiem.org/index.php/jiem/article/view/1140 |
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