2020
DOI: 10.1016/j.eswa.2019.113068
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The bi-objective periodic closed loop network design problem

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, a… Show more

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Cited by 26 publications
(8 citation statements)
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“…Due to the new era's competitive economy and business, all companies are customer-oriented, and unsatisfying a customer's need will cause a considerable amount of costs in the long run. Although some studies have considered unsatisfied demand as shortage costs besides all other operational costs, only Mamaghani and Davari (2020) used a separated objective function to cover customer satisfaction (by defining delivery due date as a customer satisfaction factor). All summed up, it is essential to consider customer satisfaction in our study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Due to the new era's competitive economy and business, all companies are customer-oriented, and unsatisfying a customer's need will cause a considerable amount of costs in the long run. Although some studies have considered unsatisfied demand as shortage costs besides all other operational costs, only Mamaghani and Davari (2020) used a separated objective function to cover customer satisfaction (by defining delivery due date as a customer satisfaction factor). All summed up, it is essential to consider customer satisfaction in our study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Once simplified and conceptualized adequately, the SC network will help to execute RL. The location routing problem (LRP) model has been developed to optimize depot location, allocate service days to customers and find optimal vehicle routes (Mamaghani and Davari, 2020). Often, demand uncertainty of returned goods plays an essential role in making network design decisions (Suryawanshi et al, 2021).…”
Section: Supply Chain Network Designmentioning
confidence: 99%
“…The authors state that using all preprocessing and valid inequalities, the computation time could be reduced to 89.34 percent compared to the base model. Mamaghani and Davari (2020) considered a set of homogeneous vehicles for an LRP with simultaneous pick-up and delivery and time windows. A bi-objective MIP model was presented to minimize the total cost and time-windows violations.…”
Section: Other Applicationsmentioning
confidence: 99%