Sample average approximation for multi-vehicle collection–disassembly problem under uncertainty-Reference-Cited by-同舟云学术

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Sample average approximation for multi-vehicle collection–disassembly problem under uncertainty

Published:2018-09-14 Issue:8 Volume:57 Page:2409-2428
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Habibi Muh. Khoirul Khakim¹,Battaïa Olga²^ORCID,Cung Van-Dat³⁴,Dolgui Alexandre⁵^ORCID,Tiwari Manoj Kumar⁶^ORCID

Affiliation:

1. École Nationale Supérieure des Mines de Saint–Étienne, Lab. LIMOS, CNRS UMR6158, Saint–Étienne Cedex 2, France

2. ISAE-SUPAÉRO, Toulouse, France

3. Université Grenoble Alpes, G-SCOP, Grenoble, France

4. CNRS, G-SCOP, Grenoble, France

5. IMT Atlantique, LS2N, CNRS, La Chantrerie, Nantes Cedex 3, France

6. Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, Kharagpur India

Funder

Government of Auvergne-Rhône-Alpes region of France

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1519262

Reference46 articles.

1. A Two-Phase Iterative Heuristic Approach for the Production Routing Problem

2. Optimization-Based Adaptive Large Neighborhood Search for the Production Routing Problem

3. Formulations and Branch-and-Cut Algorithms for Multivehicle Production and Inventory Routing Problems

4. Benders Decomposition for Production Routing Under Demand Uncertainty

5. The production routing problem: A review of formulations and solution algorithms

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1. Simultaneous Pickup-and-Delivery Production-Routing Problem in closed-loop supply chain with remanufacturing and disassembly consideration;International Journal of Production Economics;2024-07

2. Collection-disassembly-delivery problem of disassembly centers in a reverse logistics network;European Journal of Operational Research;2024-03

3. Metaheuristics in circular supply chain intelligent systems: A review of applications journey and forging a path to the future;Engineering Applications of Artificial Intelligence;2023-11

4. A systematic literature review of circular supply chain network design: application of optimization models;Environment, Development and Sustainability;2023-05-12

5. Data‐driven chance‐constrained dispatch for integrated power and natural gas systems considering wind power prediction errors;IET Generation, Transmission & Distribution;2023-05-10

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