Maximizing Profit in Reverse Supply Chain
- Ehsan Khansalar
- Mahmood Lari Dashte Bayaz
- Reza Safari
Abstract
We try to find a linear analytical model to evaluate cost maximization using reverse logistics network in recycle industry, which reduces total cost of reverse logistics. In industries that production costs or percentage of recurred goods are significantly high, reverse logistics is so important. The purpose of this research is presenting a reverse logistics model and also a mathematical model to minimize costs and maximize benefits in recycle industry. Presented model in this research is a multi-variable system which has some constraints. This model helps organizations to use appropriate production strategies.
- Full Text:
PDF
- DOI:10.5539/ibr.v8n11p111
Journal Metrics
h-index (January 2024): 102
i10-index (January 2024): 947
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- COPAC
- CrossRef
- EBSCOhost
- EconBiz
- ECONIS
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- Kobson
- LOCKSS
- Mendeley
- MIAR
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Kevin DuranEditorial Assistant
- ibr@ccsenet.org