Multi-objective particle swarm optimisation based integrated production inventory routing planning for efficient perishable food logistics operations-Reference-Cited by-同舟云学术

Multi-objective particle swarm optimisation based integrated production inventory routing planning for efficient perishable food logistics operations

Published:2020-01-07 Issue:17 Volume:58 Page:5155-5174
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Chan Felix T.S.¹^ORCID,Wang Z.X.²³,Goswami A.¹⁴,Singhania A.¹⁴,Tiwari M.K.⁴^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

2. School of Business Administration, Dongbei University of Finance and Economics, Dalian, People’s Republic of China

3. Institute of Systems Engineering, Dalian University of Technology, Dalian, People’s Republic of China

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

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1701209

Reference44 articles.

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

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

3. A Heuristic Approach to the Multi-Period Single-Sourcing Problem with Production and Inventory Capacities and Perishability Constraints

4. Application of planning models in the agri-food supply chain: A review

5. Ai, T. J., and V. Kachitvichyanukul. 2007. “Dispersion and Velocity Indices for Observing Dynamic Behavior of Particle Swarm Optimization.” IEEE Congress on Evolutionary Computation, CEC.

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