Optimizing a Just-In-Time logistics network problem under fuzzy supply and demand: two parameter-tuned metaheuristics algorithms
Just-In-Time (JIT) is a popular philosophy in many industrial practices. The concept of JIT in early studies concerned with improving operational efficiency and waste minimization. In recent decades, however, JIT principles have also connected to logistics efficiency particularly for distribution of...
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| Main Authors: | , , , |
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| Format: | Article |
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Springer London
2018
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| Online Access: | http://eprints.utm.my/id/eprint/77214/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013995430&doi=10.1007%2fs00521-017-2920-0&partnerID=40&md5=8c37e9e2003ed1b6eb8bd4f098fb203b |
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